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Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role Notion is reimagining how enterprise software is sold and the Solutions Consultant is the cornerstone of that model. As a SC, you’ll own the full customer journey: from first meeting through workflow design, commercial close, workflow implementation, expansion & renewal planning. You are the single owner of your accounts, accountable for ensuring what you sell actually gets realized. You’ll build live in front of customers, translate workflow designs into commercial outcomes, and be a trusted partner with genuine continuity across the entire relationship. If you’re a builder who loves to sell—and you want to work at the intersection of AI, productivity, and enterprise—this is the role. What You'll Achieve Own the full customer lifecycle—new logo, expansion, and renewal—as the single account owner for your book of business, with responsibility for ensuring credits sold translate into credits consumed Design and build workflow solutions live with customers: the discovery is the demo, not the slide deck—you’ll run discovery, design current-to-future-state workflow architecture, and co-build in Notion with the customer Partner with BDRs on target account planning and co-own the outbound motion for your book, running direct outreach to priority stakeholders alongside BDR-sourced pipeline Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path Guide customers through early implementation with a clear adoption plan and handoff to Outcomes Architects for ongoing multi-workflow expansion Partner with Outcomes Architects (OA) on onboarding, adoption plans, expansion strategies, and renewal execution—owning the commercial arc while OAs drive day-to-day workflow adoption Skills You'll Need to Bring 1-3 years of experience selling technical products to technical buyers Technical fluency and genuine comfort building live in software—you can demo, co-design, and troubleshoot in front of a customer without a specialist in the room Strong discovery and qualification instincts, with the ability to map customer workflows and translate them into commercial outcomes and adoption plans Experience running complex, multi-stakeholder interactions including procurement, legal, and security review cycles You can own the room - you operate with agency and urgency to bring new ideas and workflows to our customers and present simple ways to solve complex problems You’re obsessed with AI, constantly building with the newest tools & learning new ways of working Nice to Haves Full-cycle B2B software sales experience or solutions engineering experience with a consistent track record of exceeding quota across new logo acquisition and expansion motions Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals Prior experience selling to mid-market and enterprise accounts in productivity, collaboration, or workflow software Experience in a shared account ownership model, partnering with a post-sale or CS team as part of an integrated customer motion Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €144,000 - €156,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, Workforce Accounting to join Anthropic's Corporate Accounting Operations team. You will own every number tied to how we pay, equip and reward the people who work here: payroll and accrued compensation, stock-based compensation benefits and relocation, commissions, contingent workers, and travel and expense. Reporting to the Head of Corporate Accounting, you will lead a team of accountants while staying hands-on; reviewing close materials, owning your own accounts, and serving as the first escalation point for the judgment calls in your domain. Workforce is one of the fastest-moving areas of our P&L. As headcount grows across new entities and geographies, equity programmes are becoming more complex, and the systems that feed payroll, equity and expense data into the ledger are still being wired together. This is a build role: you will write the policies and SOPs your team operates against, design the controls, shape the system integrations, and use Claude and other tools to automate the work that does not need to be manual. We are looking for someone who has built accounting infrastructure in high-growth environments before and wants to do it again at one of the most important companies in the world. Key responsibilities Close ownership Own the workforce portfolio through month-end and quarter-end close — payroll and accrued compensation, bonus, vacation, severance and retention accruals, benefits, relocation, commissions, contingent workers, and T&E — including reconciliations, journal entries and variance commentary Own stock-based compensation accounting end to end: expense recognition under ASC 718, cash-settlement matching, equity roll-forwards, and reconciliation of preferred stock, common stock and additional paid-in capital to the equity administration platform Own the headcount and compensation reporting that underpins close analytics and cost allocations Ensure every close deliverable is audit-ready, with clear documentation of positions and supporting evidence Technical accounting and policy Write, own and maintain accounting policies and SOPs across the workforce domain — payroll accruals, ASC 718, commissions (ASC 340-40), contingent worker classification, and T&E — and evolve them as compensation programmes change Review technical memos prepared by your team; ensure conclusions are well-supported and consistent with US GAAP Partner with Technical Accounting on new or modified equity awards, plan changes and other non-routine compensation arrangements, and translate guidance into procedures the team can execute Own the workforce-related footnotes and disclosures — employee benefit plans, stockholders' equity and net loss per share — and the external audit responses that support them Controls Design and operate SOX controls across payroll, equity and T&E; review control evidence and own timely remediation of any gaps Establish cut-off and completeness controls around payroll registers, equity administration data and expense platforms so that what hits the ledger ties to source Systems and automation Shape the integrations between our ERP and the payroll, equity administration, commissions and T&E platforms — translating accounting requirements into specifications and test criteria, and owning data integrity once live Identify repetitive, rules-based work across the team's workflows and build scalable solutions, including with Claude, to automate or replace it Document workflows and controls in a way that supports knowledge transfer, audit evidence and scale Cross-functional partnership Partner with People Operations, Payroll, Total Rewards, Equity Administration, Sales Compensation, Tax and Legal so accounting reflects programme changes before they land in the ledger, not after Extend workforce accounting processes to new entities and jurisdictions as Anthropic grows internationally Translate complex compensation accounting into plain language for non-finance stakeholders Team leadership Coach and develop a team of accountants, providing timely, specific feedback that raises the technical and operational bar over time Hire and onboard as the team grows; set clear expectations and build a culture of precision and continuous improvement Move fluidly between reviewing your team's work and doing the work yourself Minimum qualifications Active CPA licence or equivalent professional accounting qualification Deep, hands-on experience with payroll accounting and stock-based compensation under ASC 718, including equity roll-forwards and reconciliation to an equity administration platform Experience owning a portfolio of accounts through close in a public company or pre-IPO environment, including designing and operating SOX controls Experience writing and maintaining accounting policies and SOPs, and being accountable for how a team applies them Experience managing or meaningfully coaching other accountants Ability to structure ambiguous problems, reach defensible conclusions and document them clearly Clear written and verbal communication with non-accounting partners Preferred qualifications Substantial progressive accounting experience that combines Big 4 audit with time at a high-growth or startup company Experience with commissions accounting (ASC 340-40), contingent worker accounting, or benefits and relocation programmes Experience with complex equity structures — preferred stock, tender offers, modifications, or international equity plans Experience preparing or supporting equity, employee benefit plan and net loss per share disclosures for external reporting Experience leading or contributing to an ERP, payroll, equity or T&E system implementation or integration, particularly where requirements were evolving mid-project Experience extending payroll and equity accounting to new entities or countries A clear point of view on how AI tools can eliminate low-value accounting work, and a track record of putting it into practice The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About the Role We are seeking a senior Treasury Markets leader to build and lead OpenAI's investment management, FX, interest rate risk management, and debt markets capabilities. This role will own corporate liquidity investment strategy, global currency risk, rate exposure, and the design of market-risk programs across rates, FX, liquidity, counterparty, and other Treasury exposures. The ideal candidate combines CFA-level investment discipline, hands-on derivatives and capital markets execution, strong tax and accounting fluency, and exceptional executive communication. They should be able to translate complex market, hedge, liquidity, capital structure, credit market, rating agency, tax, accounting, risk, and governance topics into crisp executive-ready recommendations, decision memos, and Board-level materials. In this role, your responsibility will include: Investment Management Own investment strategy for corporate cash and liquidity portfolios, balancing capital preservation, liquidity, yield, diversification, counterparty risk, accounting, tax, and regulatory considerations. Lead portfolio construction, investment policy governance, risk monitoring, performance reporting, manager/counterparty oversight, and compliance for corporate investment portfolios. Maintain market intelligence on rates, credit, liquidity markets, fixed income products, external manager performance, and emerging portfolio risks. FX & Cash Flow Hedging Design and operate FX balance sheet and cash flow hedging programs that align exposure management, hedge objectives, accounting treatment, tax considerations, controls, and business needs. Manage FX and derivatives activity across global operations, including exposure analytics, hedge strategy, trade execution, counterparty management, effectiveness tracking, and reporting. Partner deeply with Accounting, Tax, FP&A, Legal, and business leaders to improve exposure visibility and ensure hedge programs are operationally controlled and financially sound. Interest Rate, Debt Markets & Market Risk Management Build interest rate risk management capabilities for corporate liquidity, financing, infrastructure, and other business exposures where rate movements can create material financial volatility. Assess enterprise and other material market risks exposures where can create financial volatility, partnering with business owners to size risk, evaluate alternatives, and recommend Treasury's role when support is needed. Develop risk frameworks, dashboards, scenario analysis, and decision support for interest rate exposure, capital structure alternatives, balance sheet implications, hedging, commodities exposure, and operating decisions that require Treasury input. Evaluate capital structure alternatives and instruments across the balance sheet and credit stack, rating agency implications, risk and governance requirements, process discipline, and related fixed income or derivative instruments where relevant to rate-risk and market-risk management. Cross-Company Financial Analysis Support priority cross-company initiatives with rigorous financial analysis, clear recommendations, and disciplined execution support. Support other areas in Treasury as needed, especially Treasury Operations, Trade Finance, and Insurance, bringing analytical rigor and execution support without making those areas the core mandate. Build business-case models for funding needs, liquidity impact, risk-adjusted returns, sensitivity analysis, and decision tradeoffs. Translate complex investment, FX, rates, liquidity, tax, accounting, capital structure, credit market, rating agency, risk, governance, and capital allocation topics into concise recommendations for senior leadership and Board-level audiences. AI-Driven Treasury Leadership Build AI-enabled workflows that improve speed, visibility, control, and auditability across investments, FX, interest rate risk management, capital structure analysis, and related financial analysis. Use approved AI tools, within established security, confidentiality, and governance controls, to improve recurring Treasury analysis, risk identification, and executive decision support. Partner with Finance, Engineering, Data, and Product teams to develop scalable, AI-native treasury infrastructure with appropriate review, documentation, and governance. You might thrive in this role if you have: 12+ years of relevant experience across investment management, corporate treasury, capital markets, banking, asset management, interest rate risk management, complex capital structures, credit markets, or related finance roles. Deep investment management expertise, including corporate liquidity portfolios, fixed income strategies, portfolio construction, duration, credit risk, liquidity products, external managers, and investment policy governance. Strong FX, interest rate risk, and derivatives expertise, including exposure analytics, hedge strategy, execution, accounting considerations, tax considerations, controls, and performance reporting. Experience designing or operating FX balance sheet and cash flow hedging programs, plus broader risk management programs in close partnership with Accounting, Tax, Legal, FP&A, and business teams. Working knowledge of corporate financing instruments and related risk management considerations. Exceptional executive communication skills, including the ability to frame ambiguous market-risk, capital structure, credit market, rating agency, tax, accounting, governance, and liquidity decisions for senior leadership and Board-level audiences with clear options, tradeoffs, and recommendations. Strong modeling skills across portfolio analytics, debt capacity, business-case economics, liquidity impact, risk exposure, sensitivity analysis, and financing scenarios. Proven ability to operate in a complex, global, high-growth environment with significant cross-functional dependencies. Demonstrated judgment in market risk, interest rate risk, commodities exposure, counterparty risk, liquidity risk, operational risk, accounting risk, tax risk, and governance. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make better, evidence-based talent decisions. About the Role As a People Research Scientist, you will bring deep expertise in research design, measurement, experimentation, and applied data science to OpenAI’s most important People programs. You will design studies, evaluate people processes, and help leaders better empower employees, strengthen organizational systems, and deliver exceptional employee experiences. This is a high-ownership individual contributor role combining hands-on research, methodological leadership, and scalable people science capabilities. We’re looking for an experienced researcher who can turn ambiguous People questions into rigorous designs, validated insights, and actionable recommendations. This role is based in San Francisco, CA or Mountain View, CA, with occasional travel to our San Francisco office. What You’ll Do: Design rigorous research and evaluation strategies for recruiting, organizational health, manager effectiveness, employee experience, and talent outcomes. Apply advanced statistical modeling, machine learning, and research methods to inform program design, evaluate effectiveness, and quantify business impact. Partner with People Operations, data engineering, and people systems teams to define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving. Build scalable people science infrastructure, including self-service agentic tools, automated validation workflows, reusable research datasets and analytical pipelines. Develop research playbooks that establish rigorous standards for study design, measurement, validation, and documentation, enabling high-quality, repeatable, and scalable research across the organization. Communicate findings through concise, executive-ready narratives. What We’re Looking For Deep curiosity, strong attention to detail, and passion for solving ambiguous and complex problems with creativity. Exceptional strength in research design, experimentation, measurement, causal inference, and statistical modeling, including hands-on experience with psychometrics, survey methodology, structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, validation studies, and machine learning evaluation. High proficiency in R or Python and SQL, with experience working across complex, messy datasets. Experience building measurement systems, research programs, data products, reusable analytics frameworks, self-service tools, and governed analytical workflows. Ability to communicate complex methods and tradeoffs clearly to senior leaders, technical partners, and non-technical audiences. Sound judgment in handling sensitive employee data, including privacy, fairness, bias, and responsible research practices. Preferred qualifications Experience evaluating AI-assisted workflows, algorithmic systems, and human-AI decision processes in operational contexts, including familiarity with model evaluation methods. Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Quantitative Psychology, Behavioral Economics, Statistics, Economics, Data Science, or a related field. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Partner Experience team is building an AI-native operating model. We already run a growing set of partner-facing systems: a partner portal, CRM workflows, enablement and certification platforms, and the trackers that connect them. The systems lead on our team owns that foundation — the portal, the data model, and the integrations that keep partner records accurate and flowing. This role is the other half of that build. As our AI Operations Engineer, you'll design, build, and run the agentic workflows that sit on top of those systems: Claude-powered agents and automations that triage partner applications, draft and send partner communications, sync data across tools, surface deal and enablement signals, and take routine operational work off the team entirely. Where the systems lead builds the rails, you build what runs on them. This is a builder role, not an analyst role. You'll ship working automations weekly, own them in production, and continuously expand what the team can do without adding headcount. Key responsibilities: Design and build agentic workflows (using Claude, MCP connectors, and API integrations) that automate core partner experience operations: application triage, onboarding, deal registration, certification tracking, partner communications, and reporting Partner closely with our systems lead to integrate these workflows with the partner portal, CRM, enablement stack, finance systems, and database systems — consuming and writing back to the systems of record rather than creating shadow processes Turn recurring manual work into reliable, monitored automations: define the workflow, build it, test it against real cases, add guardrails and human-in-the-loop checkpoints where decisions carry risk, and document how it runs Own the operational health of what you ship: error handling, edge cases, escalation paths, and iteration when partner processes change Prototype fast with the team: sit with partner managers, find the highest-friction workflows, and get a working v1 in front of them in days, not quarters Establish reusable patterns (skills, prompts, connectors, playbooks) so each new workflow is faster to build than the last, and teach the broader team to self-serve on the simple ones Minimum qualifications: Hands-on experience building with LLMs and agentic tooling: prompt and workflow design, tool/function calling, MCP or comparable integration frameworks, and evaluating agent output quality Experience working across APIs and business systems — CRMs (e.g., Salesforce), PRM/partner portals, LMS/certification platforms, spreadsheet-based tools, Slack, and email — and scripting the glue between them in Python or JavaScript Strong judgment about automation risk: knowing which steps an agent can own outright, which need a human checkpoint, and how to design for graceful failure Process instincts: ability to look at a messy manual workflow, find the actual bottleneck, and redesign it rather than just automating it as-is Clear written communication; documents what you build so it outlives you Preferred qualifications: 5+ years in operations engineering, solutions engineering, business systems, RevOps, or a similar build-heavy role, ideally supporting a partner, sales, or customer success organization Experience in partner/channel operations specifically (deal registration, MDF/co-sell programs, partner tiering, certification pipelines) Experience shipping internal AI tools or automations that are still running in production today Familiarity with the Claude API, Claude Code, or agent frameworks; building custom MCP servers is a plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As Director, People Partners for Product, Design & Engineering (PDE), you'll be partnering with the leaders that are responsible for the teams building Figma and leading a team of highly skilled People Partners. You'll operate as a trusted advisor - coaching, challenging, and guiding the organization through rapid growth, reorganization, and change. As a member of the People team, you’ll partner closely with all of our People functions to build a best in class people function. If you’re energized by ambiguity, adept at building deep relationships, and excited to shape what great People Partnering looks like at Figma, we’d love to hear from you! This is a full time role held from our San Francisco hub. What you'll do at Figma: Serve as the strategic People Partner to Figma’s CTO and Chief Design Officer, building the credibility and trust to influence how they lead, organize, and grow their teams Lead and develop a talented team of People Partners across the Product, Design and Engineering organizations Lead and execute our People Programs such as org design, resource management, performance, and change management through periods of rapid scaling, reorganization, and shifting priorities Drive the core people cycles for your orgs across performance, calibration, talent reviews, succession planning while raising the bar on quality and consistency Partner across the People function and our cross functional partners to help execute the People strategy across the PDE organization Use data and insights to inform your point of view, measure impact, and tell a compelling story to the leaders you support Help shape and scale the People Partner function itself - developing partners, strengthening the operating model, and modeling what great looks like We'd love to hear from you if you have: Significant experience as a People Partner leader in high-growth environments, including managing a team and partnering directly with executive leaders A track record of supporting Product, Design, and/or Engineering organizations, with genuine fluency in how technical and design teams operate Strong business and technical acumen - the ability to build deep product and technical knowledge and understand how the business operates Demonstrated ability to challenge and advise senior leaders, influencing decisions and outcomes. You stay grounded and resilient, even when things move quickly At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $235,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. Responsibilities: Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls – and analyze the results in order make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes Present complex technical analyses and recommendations to both technical and non-technical stakeholders Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow You may be a good fit if you have: 7+ years of experience in data science or analytics roles Deep expertise with Python, SQL, and data visualization tools Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments Highly effective written communication and presentation skills A track record of translating complex data into clear, actionable insights for both technical and business stakeholders A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress A passion for the company’s mission of building helpful, honest, and harmless AI Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: We're hiring a Technical Program Manager to lead the systems, data, and process work behind how we bill, recognize revenue, close the books, and prove our controls work. You won't be writing the code or drawing the architecture; you'll be deciding what gets built, in what order, and why it matters. This is a role for someone who wants to understand a business well enough to change how it runs: learning the objectives, processes, and system flows end to end, then shaping them into strategic technical programs with real owners, deliberate sequencing, and decisions that hold up under audit. You'll sit between Finance and Accounting on one side and Engineering, Data, and Product on the other, and you'll be accountable for making new revenue streams operable and auditable, from a pricing model on a slide to a billed invoice, a booked journal entry, and a control that passes testing. You'll report to the Lead Technical Program Manager for Data, Biztech & AI Transformation, within EPD. You'll get high-level direction and clear priorities from your manager, and independent ownership of how the work actually gets delivered. You'll bring engineering-side rigor and platform thinking to finance problems, and work as part of a team modernizing how the whole company operates. Most of your time will go to three things: making new product and pricing launches work end to end in the finance stack, running the platforms and data flows behind quote-to-cash and record-to-report, and driving the IT general controls (ITGC) program so controls are designed into systems up front rather than retrofitted after go-live. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Act as Finance's technical counterpart on new product, pricing, and packaging launches, translating commercial models into requirements across order capture, rating and billing, tax, revenue recognition, and downstream reporting, and defining what "revenue-ready" means before go/no-go: who owns each piece, what's actually done versus asserted, and which risks are still cheap to fix Broker the trade-off when a launch date and systems reality don't line up: a scoped manual workaround with an owner, a cost, and an expiration date, plus the path to the automated version. Then close the loop after launch on billing accuracy, exception rates, where revenue landed, whether the new controls actually operate, and what must be true to do this again at 10x volume Independently own delivery and multi-quarter roadmaps for your finance systems programs, including ERP, billing and subscription management, CPQ, revenue subledger, procurement, and the reporting layer on top. Run the working groups that deliver them across Finance, Accounting, Engineering, Data, and Security, with clear accountability and updates leadership can read in two minutes Run the operating rhythm: intake and prioritization, decision logs, early risk escalation, and a small set of metrics that show whether the work is actually improving anything, and flag early when committed scope and capacity don't line up Map current-state processes and data lineage end to end and go after the breaks: reconciliation gaps, recurring manual journal entries, spreadsheets doing load-bearing work, competing sources of truth for the same metric. Partner with Data Engineering on the definitions and data contracts that let finance metrics tie cleanly to source systems, and hold the line when teams drift Drive ITGC workstreams across in-scope financial systems: logical access and segregation of duties, change management, SDLC and CI/CD pipelines, job scheduling, and data interfaces. Partner with Internal Audit on scoping and control design, with a named owner for every control Facilitate designing controls into new systems, systems changes, and launches before go-live with Controllership, Internal Audit, and Engineering, and serve as the systems-side point of contact for internal and external audit on ITGC walkthroughs and testing, translating between control language and engineering language, and driving deficiencies through root cause, named owners, evidence, and validation that the fix holds Build AI-assisted workflows that expand what the teams around you can cover, and hold them to real standards: a defined task, a way to evaluate output quality, explicit human review gates on anything touching financial reporting, and documentation so someone else can run it Skills You'll Need to Bring: 5+ years in technical program management, business systems, finance transformation, or a related field, with substantial time on finance or revenue systems; public-company or IPO-track experience is a strong plus Working fluency in finance operations; you don't need to be an accountant, but you should hold your own on quote-to-cash and record-to-report, and know why revenue recognition is not the same as billing Hands-on ITGC program experience across access, change management, and IT operations for in-scope financial systems, plus practical SOX knowledge. You understand how ITGC reliance determines what auditors will accept from automated controls and system-generated reports, can tell a key control from a non-key one, know where ITACs fit alongside ITGCs, and have been through remediation and audit cycles rather than only reading about them AI-native operating mindset; this is a core requirement for this role. You already use AI to draft requirements, synthesize status, triage intake, and assemble evidence packages, and you share the patterns so others work differently because of what you built A track record of independently delivering technical programs end to end, ideally transformation work such as system modernization, a large-scale migration, or an ERP or billing platform implementation, and turning messy or incomplete inputs into a concrete plan with owners and dates; you're pulled into problems before they're scoped and you're as useful advising a controller on process design as an engineering lead on sequencing Working understanding of data lifecycle and analytics tooling, and real experience running change management for business systems, not just launching them Influence without authority and a bias toward closure. You have no direct reports, so you work through credibility and clear reasoning, knowing when to push and when to escalate; you chase ambiguous items to a decision, will reopen the uncomfortable question a week before launch, and communicate clearly with Director/VP+ stakeholders, including when the news is bad Nice to Haves: Hands-on experience working in enterprise billing, ERP, and revenue systems such as NetSuite, Stripe, or comparable tools, with an understanding of how orders, invoices, and revenue data flow between them Experience supporting an IPO readiness or first-year SOX program, including standing up ITGCs from scratch CISA, CIA, or equivalent certification, or equivalent time embedded on an IT audit team Experience building internal tooling or agents on a workspace platform rather than only configuring vendor systems Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $133,000 - $223,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Own how our Foundations business teams design, automate, and operate their most important workflows. Notion is growing quickly, and the processes that run our business — intake, triage, execution, approvals, escalations, reporting — need to scale without adding headcount or losing auditability. This role exists to redesign those processes end to end and to embed AI directly into them, so the work moves faster and the system stays trustworthy. What's different at Notion: you'll build on Notion as customer zero. You'll design multi-system workflows spanning Notion, Slack, email, support tooling, and internal data, then ship the custom agents, skills, and automations that run them — partnering with Finance, Legal, People, Ops, Data, and Engineering to drive real adoption, not just documentation. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Redesign cross-functional processes end to end: Map and optimize core and cross-functional flows for Foundations business teams, making them simpler, faster, and more consistent than the operating models they replace. Architect multi-system workflows: Design workflows spanning Notion, Slack, email, support tooling, and internal systems and data, with clear states, routing, permissions, and auditability. Design for failure, not just the happy path: Identify edge cases, controls, and handoffs so workflows are resilient, reviewable, and easy for a business team to operate without you. Embed AI with clear human-in-the-loop patterns: Define where AI assists, automates, approves, and audits — and make it obvious what AI did and why. Build and maintain custom agents and skills: Ship the agents, structured skills, and runbooks that power intake triage, summarization, routing, escalation, and reporting for business teams. Instrument everything you ship: Define success metrics (cycle time, deflection, quality, adoption), measure them, and iterate based on data and stakeholder feedback. Set the standards others build on: Establish best practices for AI safety, permissions, transparency, and workflow documentation so the patterns hold as more teams adopt them. Drive adoption and change management: Partner with business stakeholders so tooling gets used because it's intuitive and reliable, and measurably improves day-to-day work. Skills You'll Need to Bring: Process and systems design depth: 2–6 years in operations design, service design, product operations, business systems, or internal tools, with a portfolio showing systems thinking and measurable outcomes. Complex workflow experience: Demonstrated ability to design for intake, triage, routing, approvals, escalations, and reporting across teams and tools, including states, permissions, and auditability. Process mapping rigor: Hands-on experience mapping and improving business processes through journey maps, service blueprints, operating models, and SOPs. AI-native builder mindset: Experience designing or building with AI assistants and agents, workflow automation, or internal tooling — including prompt design, tool selection, and evaluation for quality, reliability, and edge cases. This role requires AI fluency. Lightweight automation ability: Comfort building with Notion custom agents and automations, structured skills, and integrations across systems (APIs, webhooks, connectors). Hands-on preferred. Clear communication and stakeholder judgment: Ability to convey design intent using whatever artifact fits the problem, and to present and defend tradeoffs across multiple tools and teams. Comfort with ambiguity: Experience operating in fast-moving environments and collaborating deeply with engineers and PMs to shape decisions, not just execute them. Nice to Haves: Consulting background in technology, process and operations consulting, or business/digital transformation — including discovery, current- and future-state process mapping, and stakeholder workshops Track record delivering client engagements across multiple functions or industries, and turning that pattern recognition into repeatable playbooks and operating standards Experience designing internal tools, developer platforms, or enterprise software Familiarity with data concepts (schemas, event tracking, dashboards) and operational analytics Notion product expertise Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $166,000 – $185,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role The Technical Account Manager (TAM) Leader owns the health, direction, and performance of the Technical Account Management function. Where an individual TAM is the primary technical partner for their own portfolio of accounts, the TAM Leader is accountable for the entire TAM book — every account covered by the team, every partner relationship with a technical dimension, and the people who deliver against them. The TAM Leader is both a player and a coach: they carry direct accountability for coverage decisions, escalation outcomes, and cross-functional alignment, while spending the majority of their time developing the individual TAMs so the team's proactive, relationship-first approach scales without becoming a response channel. Core Responsibilities People Leadership & Team Development The TAM Leader hires, coaches, and grows the TAM team so each member operates as a credible, proactive technical partner to their accounts. This includes: Hiring and onboarding new TAMs, including running them through the TAM Path ramp Running regular 1:1s, setting individual development plans, and giving direct feedback on account plans, QBRs, and escalation handling Building and maintaining repeatable playbooks (upgrade runbooks, optimization playbooks, escalation patterns) so quality doesn't depend on tenure Setting and holding the team to a consistent bar for technical depth, proactivity, and communication Portfolio & Coverage Ownership The TAM Leader owns the coverage model for the entire function — deciding, tracking, and refreshing who is assigned where, and closing gaps as they surface. This includes the two account universes the role is accountable for: Named accounts — the full book maintained in the Draft TAM Accounts doc , currently ~$33.1M ARR across 120 accounts split across the team, capped at 20 accounts per TAM Partner-mapped accounts — every partner with a named Technical Account Manager in the Partner Mappings , spanning Strategic AI, Growth, and Other tiers Running the quarterly review/refresh of assigned accounts, rebalancing books as ARR and strategic relationships shift Resolving open coverage gaps (e.g. regions or account types with no TAM alignment) and deciding when a controlled exception, a new hire, or a change in tier definition is the right fix Approving leadership-discretion assignments and cap exceptions, and making the trim/reassign calls when an account is dropped for capacity Customer Technical Ownership (oversight) The TAM Leader ensures every assigned account — named or partner-mapped — has a clear, accountable technical owner. They spot-check account documentation, architecture understanding, and risk tracking across the book, and step in directly on the most strategic or highest-risk accounts. Onboarding and Adoption (oversight) The TAM Leader ensures the team consistently shortens time to value for new accounts by: Auditing that architecture and deployment validation is happening post-sale, not skipped Coaching TAMs on configuration guidance and best-practice delivery Tracking early success milestones across the portfolio, not just account by account Proactive Technical Guidance (oversight) The TAM Leader ensures environment reviews and risk/optimization surfacing happen on a regular cadence across the whole book, covering scalability, reliability, security, and lifecycle planning — and holds the team accountable when reviews lapse. Issue Management and Escalation The TAM Leader is the escalation layer above the individual TAM — brought in on complex, high-impact, or multi-stakeholder issues rather than replacing the TAM as primary contact. This includes: Coordinating across support, engineering, and success during major incidents Owning execution of the Named Account Escalation SLA sequence when it's triggered Ensuring root cause analysis and preventative action actually close out, not just the immediate fire Isolating TAMs from technical repair work so they can stay focused on the relationship while the right team handles the fix Strategic Technical Planning (oversight) The TAM Leader ensures account plans across the book stay aligned to customer roadmaps, and personally engages on capacity, architecture, or growth planning for the largest or most strategic accounts and partners. Internal Collaboration Engineering and Product The TAM Leader represents the aggregated voice of the customer — patterns across accounts, not just one-off feedback — to engineering and product, and prioritizes which recurring pain points or gaps get pushed for a fix versus handled as one-offs. Support The TAM Leader maintains the operating agreement between TAM and Support (TAMs are not frontline support) and is the point of escalation when that boundary needs adjudicating on a specific account. Sales and Customer Success The TAM Leader partners with Sales and Success leadership on account health and retention at the portfolio level — surfacing which accounts or partners are trending at risk, and where TAM coverage itself needs to change to protect NRR. Partnerships Because the TAM Leader owns the Technical Account Manager assignments inside the Partner Mappings, they work directly with each partner's Account Quarterback, Partner Manager, and Solutions Architect to make sure the technical relationship keeps pace with partner stage (Prospecting through Scaling) and tier (Strategic AI, Growth, Other) — while staying out of commercial terms, which live with the Partner Manager. Success Metrics Common indicators of TAM Leader effectiveness include: Coverage: % of the $33.1M+ named-account book and partner-mapped accounts with an assigned, active TAM Team health: ramp time to productivity for new TAMs, retention of the TAM team itself Customer adoption and usage depth across the book Reduction in critical incidents and time to resolution for escalated issues, portfolio-wide Customer satisfaction and retention (NRR) across named and partner-mapped accounts Consistency: QBR completion rate and account plan quality across the team, not just top performers Tools Used by the TAM Team This section documents the tools and systems used by the Technical Account Management team. It is intended to be kept up to date as tooling evolves. Admin Studio Grafana Hex pgAdmin HubSpot (account ARR, tier, and health data) Notion — Draft TAM Accounts doc and Partner Mappings database Scope of Coverage The TAM Leader is accountable for the full combined book the function covers, not a single portfolio: Named accounts in the Draft TAM Accounts doc — every account already assigned to one of the individual TAMs, plus resolution of open decisions such as the current APAC coverage gap Partner-mapped accounts in the Partner Mappings — ensuring every partner that warrants a technical relationship has a named TAM against it, and that the mapping stays current as partners move through Stage and Tier Account Mapping TAM Standard (Pooled) Spend — For customers at $100K ARR, access to pooled TAM resources for a set (time TBD) hours per month Pooled TAM SKU — Customers of any scale can purchase pooled access to the TAM team (requires Enterprise Support SKU) Leadership Discretion for Customer Needs TAM Premium (Dedicated) Spend — For customers at $250K ARR, access to a dedicated TAM resource for a set (time TBD) hours per month Dedicated TAM SKU — Customers of any scale can purchase an assigned TAM (requires Enterprise Support SKU) Leadership Discretion for Customer Needs The TAM Leader owns tier decisions, the quarterly refresh of this mapping, and any leadership-discretion exceptions. What TAM Leaders Do Not Do To keep the function focused and scaling, the TAM Leader does not: Replace the individual TAM as an account's day-to-day technical relationship owner — accounts scale by layering support on, not by handing off Perform day-to-day operational work for customers Own or negotiate commercial terms for either named accounts or partner deals — that stays with the AE or Partner Manager Act as professional services for custom implementations Manage frontline support case queues Ideal Individual A world-class Technical Account Manager Leader at Supabase has done the individual TAM job well and now wants to multiply it across a team. Technical depth — Same bar as an individual TAM: can go deep on database internals, scalability, security posture, and infrastructure tradeoffs, and can still credibly work a strategic account directly when needed People leadership — Has hired, coached, and grown a technical team before; gives direct, specific feedback and knows how to develop someone from good to great Portfolio-level judgment — Can look across 100+ accounts and a partner book and tell where coverage is thin, where an account should move tiers, and where to spend leadership discretion Escalation command — Comfortable being the senior voice in a high-severity, multi-stakeholder incident, coordinating support, engineering, and success without adding noise Cross-functional influence at altitude — Represents patterns across the whole book to engineering, product, sales, and partnerships leadership — not just one account's feedback Communication clarity — Can brief an executive on portfolio health and coach a TAM through a root cause analysis in the same day Retention and expansion awareness — Understands that TAM Leader performance shows up in aggregate NRR across the book; proactively rebalances coverage toward the accounts and partners most at risk Experience — Background in engineering, SRE, or technical consulting, plus a track record of leading a technical customer-facing team Summary The Technical Account Manager Leader exists to make sure every account and partner relationship the TAM function is accountable for — the full Draft TAM Accounts book and the entire Partner Mappings coverage — has a technical owner, and that the team delivering against it keeps getting better. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) manages the laptops and handsets every Anthropic employee works on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and every piece of configuration ships as code through pull requests, CI, staging, and a canary group. Today the mobile side of the fleet is BYOD. This role exists to change that. You will design and implement a corporate-issued mobile device program (managed company phones and managed Apple accounts) in every region Anthropic operates in, and take it from early design to production. The team is deliberately lean and runs with high autonomy. You’ll define what a corporate mobile program looks like at Anthropic and own the platform decisions that get it there. Responsibilities Design the corporate-issued mobile device program: device standards, what we issue to whom, and how the program grows from a first region to everywhere Anthropic operates Own the global logistics of issuing hardware: procurement partners, regional coverage, spares, and refresh cycles Bring mobile configuration into the team’s config-as-code pipeline so mobile policies are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero-touch enrollment: Apple Business Manager and ADE with managed Apple accounts on iOS, the zero-touch equivalent on Android, so a new phone works the first time without hands-on setup Own policy, compliance, and device lifecycle for the corporate fleet, from issue to wipe Build telemetry on the corporate fleet: which devices are checking in, OS and patch state, drift between reported and actual state Own managed app distribution for mobile, from app approval through update rollout Partner with Corporate Security on device posture, device trust signals, and travel devices for international trips Decide how corporate-issued and BYOD coexist, and own that boundary as the program rolls out You may be a good fit if you Have owned a global or multi-region mobile device program end to end, with 8+ years managing corporate fleets at thousands-of-devices scale Go deep on iOS device management: enrollment flows, Apple Business Manager and ADE, APNs and certificate lifecycle, declarative device management Have worked with Android device management and can hold your own in a mixed fleet Treat device configuration as code and have moved past clicking in consoles Have run the infrastructure under an MDM, not just administered a SaaS console: a self-hosted MDM server, AWS, Terraform, and configuration that ships as code Have built or launched a corporate device program, not just operated one, and can decide how it coexists with BYOD Excel at ambiguous problems that touch several teams at once Communicate technical concepts clearly to any audience View IT Engineering as requiring product engineering rigor Write clear documentation as a natural part of your workflow Strong candidates may also Have managed ChromeOS devices alongside a mobile fleet Have run a device program across multiple regions and dealt with the logistics that come with it Have built automated, progressive rollout systems with promotion gated on telemetry Bring proficiency in Swift for building device tooling Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills Python and shell scripting iOS and Android platform internals (depth on iOS, working knowledge of Android) Modern MDM or UEM platforms (Jamf, Intune, Workspace ONE, or equivalent) Running the infrastructure under an MDM (self-hosted servers, AWS GCP, Terraform) Querying live device state at fleet scale Mobile device lifecycle automation (enrollment, policy, patching, app distribution) GitOps and CI for configuration management Endpoint security fundamentals Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features Build tools that maximize autonomy and creative freedom for less-technical users Make product and prioritization decisions, not just execute on specs handed to you Iterate quickly based on feedback to continuously improve the user experience Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: Have 6+ years of experience building production software, ideally full-stack Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way Think in systems and abstractions—you see the platform behind the feature request Care about empowering users, not just building for them Own outcomes, not just code—you care whether the thing you built actually solved the problem Are comfortable making decisions with incomplete information and operating with ambiguity Hold yourself to a high bar without needing external pressure Strong candidates will have: Proficiency across the stack (we use Python, TypeScript, React) Experience building platforms, primitives, or internal tools that others build on top of A track record of shipping products independently—not just contributing to larger efforts Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.