Responsibilities:

• Lead Strategic ML/AI Platform Programs: Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform.
• Operate with an AI-First Execution Mindset: Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows, and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
• Prototype AI-Augmented Tools & Workflows: Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction, including dashboards, data analysis, process helpers, and internal tooling.
• Apply Safety-by-Design AI Governance: Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
• Drive Complex Technical Decisions Across Teams: Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions.
• Translate Strategy into Execution: Convert strategic platform priorities into structured, milestone-driven execution plans, operating at both breadth (big picture vision) and depth (driving granular details with engineering teams).
• Shape Planning & Influence Roadmaps: Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles, influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
• Build Scalable Processes & Best Practices: Define, institutionalize, and continuously improve program management processes, frameworks, and tooling, elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
• Drive Cross-Functional Alignment & Communication: Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal, ensuring stakeholders at all levels have timely, accurate visibility into priorities, status, risks, and decisions.
• Own Program Outcomes End-to-End: Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through.

Requirements:

• Experienced Technical Program Manager: 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent.
• AI-First Execution Mindset: Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication.
• Workflow Design & AI Fluency: Experience turning repeatable program work into durable, low-toil mechanisms, including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
• Safety-by-Design AI Governance: Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability.
• ML/AI & Systems Domain Knowledge: Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles.
• Strategic Vision & Entrepreneurial Leadership: Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs.
• Executive Influence & Thought Leadership: Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions.
• Analytical Problem-Solving & Risk Mitigation: Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
• Operational Excellence at Scale: Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility.
• Exceptional Communication & Collaboration: Outstanding written, verbal, and interpersonal communication skills, able to distill nuanced, technical concepts for diverse audiences.

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You'll partner closely with our Life Sciences team, which builds deep scientific partnerships with research institutions and identifies high-impact deployment opportunities. Your focus is on the clinical and operational side of these institutions,translating interest into commercial agreements, driving new pipeline independently, and expanding Claude's footprint across partner organizations.

You'll also collaborate with Account Executives covering affiliated universities to ensure a unified Anthropic presence and identify cross-sell opportunities where academic medical centers and universities share governance or procurement.

Academic medical centers typically don't have large internal development teams, so you'll be selling to buyers who are thinking about integration into clinical systems, EHRs, and operational platforms,not building from scratch.

Note: This role will evolve as we scale. You'll help define the coverage model for academic medical centers as the team grows, and the scope may sharpen over time as we build out dedicated verticals.

Responsibilities:

• Own the full sales cycle for academic medical centers,from prospecting and qualification through negotiation and close
• Build and manage a pipeline of net-new opportunities, targeting clinical leadership, CMIOs, CIOs, and operational executives
• Partner with our Life Sciences team to commercialize relationships and identify expansion opportunities across partner institutions
• Coordinate with Account Executives covering affiliated universities to navigate shared governance and procurement
• Navigate complex procurement processes, including BAAs, compliance reviews, and multi-stakeholder buying committees
• Develop deep expertise in how Claude can support clinical workflows, administrative operations, and care delivery
• Partner with Solutions Architecture to scope technical implementations and integrations
• Represent Anthropic's mission and values in every customer interaction

Primary Use Case Focus:

• Clinical Documentation: Ambient listening, note generation, discharge summaries, clinical decision support
• Operational Efficiency: Prior authorization, revenue cycle optimization, scheduling, patient communication
• Care Coordination: Care management workflows, transitions of care, population health
• Administrative Workflows: HR, finance, compliance, quality reporting

You may be a good fit if you have:

• 5+ years of enterprise sales experience selling into academic medical centers or large health systems
• Direct experience selling enterprise software to medical centers OR major medical equipment/devices
• Demonstrated ability to navigate complex, multi-stakeholder sales cycles with CMIOs, CIOs, and clinical leadership
• Comfort with technical conversations about APIs, integrations, and healthcare data standards (HL7, FHIR)
• Track record of building pipeline from scratch and closing net-new business
• Understanding of healthcare compliance requirements (HIPAA, BAAs, security reviews)
• Genuine curiosity about AI and its potential to improve healthcare delivery

Strong candidates may also have:

• Experience selling to both the clinical and IT sides of health systems
• Existing relationships with academic medical center leadership
• Background in clinical operations, health IT, or healthcare consulting
• Experience with EHR integrations and clinical workflow design
• Familiarity with AI/ML applications in healthcare

Compensation & Logistics:

• Competitive base + variable compensation
• Equity participation
• Location: San Francisco preferred; remote (US) considered for exceptional candidates
• Travel: ~25-40% depending on territory

Annual compensation range for this role is $290,000-$435,000 USD

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We're looking for a Planning Analyst who thrives at the intersection of digital and the physical hardware world. You'll design and implement data models, workflows, and analytical tools that directly improve operational performance,enabling Anduril to plan more effectively at scale.

Responsibilities

• Partner with Planning leadership and Anduril's Analytics team to build secure, timely, and extensible ontologies for domains such as Supply Chain, Manufacturing, and Finance.
• Develop reporting and data applications that provide near real-time visibility into planning KPIs, including forecast accuracy, fill rates, and inventory turns.
• Conduct ad-hoc analyses on demand signals, inventory strategies, and supply risk, delivering insights that balance service levels with profitability.
• Run scenario planning and sensitivity analyses to evaluate the impact of market or contract volatility on operational outcomes.
• Collaborate with Analytics engineers to generalise planning workflows and data products across Anduril's production and sustainment organisations.
• Act as a subject matter expert for planning tools and systems, supporting upgrades, enhancements, and best practice adoption.
• Become a trusted resource for leadership by helping them run their organisations more effectively through data-driven insights.

Requirements

• 3+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with strong supply chain or operations background).
• Strong operational instincts and a track record of owning complex, ambiguous planning problems from start to finish.
• Ability to think strategically and execute tactically.
• Data-driven mindset and ability to turn analytics into action.
• Systems fluency, with experience working across ERP platforms (e.g., NetSuite, SAP, Oracle).
• Cross-functional empathy and ability to understand the needs of engineering, product, deployment, and finance.
• Comfortable with ambiguity and ability to build structure in environments that are scaling fast.
• High ownership, low ego, and value results over credit.
• Ability to anticipate friction before it happens and proactively work to prevent issues rather than react to them.
• Demonstrated experience building and owning processes and ontologies in a fast-paced environment.
• Expert-level SQL skills and proficiency in Python (or other programming languages).
• Experience with BI and analytics tools (Looker, Tableau, Power BI, Palantir Foundry, dbt, Redshift, etc.).
• Strong ability to translate technical models into actionable insights for non-technical stakeholders.
• Self-starter mindset and ability to prioritise velocity and impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

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You'll partner closely with our Life Sciences team, which builds deep scientific partnerships with research institutions and identifies high-impact deployment opportunities. Your focus is on the clinical and operational side of these institutions,translating interest into commercial agreements, driving new pipeline independently, and expanding Claude's footprint across partner organizations.

You'll also collaborate with Account Executives covering affiliated universities to ensure a unified Anthropic presence and identify cross-sell opportunities where academic medical centers and universities share governance or procurement.

Academic medical centers typically don't have large internal development teams, so you'll be selling to buyers who are thinking about integration into clinical systems, EHRs, and operational platforms,not building from scratch.

Note: This role will evolve as we scale. You'll help define the coverage model for academic medical centers as the team grows, and the scope may sharpen over time as we build out dedicated verticals.

Responsibilities:

• Own the full sales cycle for academic medical centers,from prospecting and qualification through negotiation and close

• Build and manage a pipeline of net-new opportunities, targeting clinical leadership, CMIOs, CIOs, and operational executives

• Partner with our Life Sciences team to commercialize relationships and identify expansion opportunities across partner institutions

• Coordinate with Account Executives covering affiliated universities to navigate shared governance and procurement

• Navigate complex procurement processes, including BAAs, compliance reviews, and multi-stakeholder buying committees

• Develop deep expertise in how Claude can support clinical workflows, administrative operations, and care delivery

• Partner with Solutions Architecture to scope technical implementations and integrations

• Represent Anthropic's mission and values in every customer interaction

Primary Use Case Focus:

• Clinical Documentation: Ambient listening, note generation, discharge summaries, clinical decision support

• Operational Efficiency: Prior authorization, revenue cycle optimization, scheduling, patient communication

• Care Coordination: Care management workflows, transitions of care, population health

• Administrative Workflows: HR, finance, compliance, quality reporting

You may be a good fit if you have:

• 5+ years of enterprise sales experience selling into academic medical centers or large health systems

• Direct experience selling enterprise software to medical centers OR major medical equipment/devices

• Demonstrated ability to navigate complex, multi-stakeholder sales cycles with CMIOs, CIOs, and clinical leadership

• Comfort with technical conversations about APIs, integrations, and healthcare data standards (HL7, FHIR)

• Track record of building pipeline from scratch and closing net-new business

• Understanding of healthcare compliance requirements (HIPAA, BAAs, security reviews)

Genuine curiosity about AI and its potential to improve healthcare delivery

Strong candidates may also have:

• Experience selling to both the clinical and IT sides of health systems

• Existing relationships with academic medical center leadership

• Background in clinical operations, health IT, or healthcare consulting

• Experience with EHR integrations and clinical workflow design

• Familiarity with AI/ML applications in healthcare

Compensation & Logistics:

• Competitive base + variable compensation

• Equity participation

• Location: San Francisco preferred; remote (US) considered for exceptional candidates

• Travel: ~25-40% depending on territory

Annual compensation range for this role is $290,000-$435,000 USD

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You will work closely with finance leadership and cross-functional partners to ensure our books are clean, processes are scalable, and financial reporting is reliable as the organization grows. This is a force-multiplier role with visibility across the business and the opportunity to grow into broader responsibilities over time.

Responsibilities

• Execute and continuously improve the monthly, quarterly, and annual close processes, ensuring accuracy, timeliness, and audit readiness.
• Maintain the general ledger in NetSuite, including journal entries, accruals, prepaids, and intercompany activity.
• Reconcile bank accounts, corporate cards, payroll, and other balance sheet accounts.

Day-to-Day Accounting & Systems

• Own accounts payable and receivable workflows, including vendor onboarding, invoice processing, and payment runs using tools like Ramp.
• Partner with payroll providers (e.g., ADP) to ensure accurate payroll, benefits, bonus, and equity-related accounting.
• Maintain clean subledgers and supporting schedules that tie directly to the GL.

Crypto-Native Accounting & Complexity

• Account for token activity, including transfers, incentives, and related expense recognition, ensuring alignment between on-chain activity and the general ledger.
• Support crypto-specific accounting workflows and reconciliations as the business evolves.
• Partner with external specialists as needed on digital asset accounting considerations.

Tax, Audit & Compliance Support

• Support corporate tax filings (U.S. and international) by preparing schedules, documentation, and reconciliations.
• Work with external tax, audit, and advisory firms to support annual audits, reviews, and special projects.
• Ensure accounting policies and procedures align with US GAAP and scale with the business.

Build for Scale

• Document accounting processes and controls, creating clarity and repeatability as the team grows.
• Identify gaps, inefficiencies, and risks , and proactively design better workflows and controls.
• Act as a trusted accounting partner to finance leadership and cross-functional teams.

Requirements

• 5–8+ years of experience in accounting, ideally with a mix of public accounting and in-house experience.
• Strong working knowledge of NetSuite and month-end close in a multi-entity environment.
• Hands-on experience with modern finance tools such as Ramp (or similar) and ADP (or similar payroll providers).
• Solid understanding of US GAAP, balance sheet accounting, and close best practices (CPA preferred, not required).
• Comfortable operating in high-growth, ambiguous environments where processes are built, not inherited.
• Detail-oriented, highly organized, and obsessed with accuracy , you close loops and don’t let issues linger.
• Clear communicator who can explain accounting concepts to non-finance stakeholders.

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The buildings are only part of the story. The real work happens in how people experience them , every interaction, every workflow, every moment where something either feels effortless or doesn't. We're looking for a Product Manager to own some of the most important experiences across Flow's resident and operational ecosystem.

Responsibilities

• Own the roadmap for core resident and operational workflows across the customer lifecycle and day-to-day building experience
• Build deep firsthand understanding of operator workflows by spending time with local teams in-market and observing how work actually gets done
• Identify the highest-leverage opportunities to simplify, automate, or redesign workflows using product, AI-assisted experiences, and self-service where appropriate
• Rapidly prototype solutions using modern AI and product development tools to test concepts before full production investment
• Partner with design, engineering, platform, and operations to turn validated concepts into durable, scalable product
• Define success through clear customer, operational, and business outcomes, and use data to continuously improve the workflows you own
• Evaluate local tools, dashboards, and operator-built workflows to determine what should be productized and scaled across Flow
• Work closely with platform teams to take advantage of emerging internal capabilities across data, workflow, and AI infrastructure
• Balance short-term wins with long-term system quality, making thoughtful tradeoffs in ambiguous and fast-moving environments
• Help create a product culture that values clear thinking, rapid iteration, good taste, and strong partnership with the people closest to the work

Ideal Background

• 6 to 10 years of product management experience, ideally in complex workflow-heavy domains such as fintech, logistics, hospitality tech, vertical SaaS, commerce, or marketplaces
• Track record owning ambiguous product areas end-to-end, from discovery through launch and iteration
• Experience working closely with operational teams, service teams, or frontline users, not just digital consumers
• Strong systems thinking and comfort with products that blend software, operations, and human coordination
• Evidence that you have personally experimented with building AI agents, automations, prototypes, or internal tools, even if you are not a full-time engineer

Technical Skills

• Strong product sense and the ability to turn messy workflows into clear user experiences and product decisions
• Hands-on comfort using modern prototyping and AI tools to build mockups, working flows, or lightweight internal tools as part of product development
• Strong judgment about where AI meaningfully improves a workflow, where it introduces risk, and how to evaluate the difference
• Excellent written and verbal communication, including the ability to drive alignment with operators, designers, engineers, and leadership
• Proficiency with modern product and collaboration tools such as Jira, Confluence, Figma, and current AI tooling

What Sets You Apart

• High agency individual and comfortable creating momentum in ambiguous situations
• Care deeply about understanding users in the real world, especially the people doing the work every day
• Have strong product taste and a bias toward simplicity, clarity, and elegant workflow design
• Can move from strategy to details without losing the thread
• Technically credible with engineering and practically useful with operators
• Low ego, high ownership, and comfortable changing your mind as new information emerges
• Keep up with the latest models, tools, and workflow patterns well enough to know when new capabilities materially change what the product can do
• Energized by the idea that AI should improve how products are built and how work gets done, not just add novelty

Why Join Flow?

• Help reimagine what it means to live, work, and connect in communities designed around people
• Build products that improve the everyday experience of residents and the teams who support them
• Join a company with ambitious goals at the intersection of real estate, hospitality, technology, and community
• Be part of a team that is still early enough to shape how the product, operating model, and standards evolve
• Flow's mission is oneness: fostering connection with ourselves, our neighbors, and the natural world.

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Belong is building the Residential Operating System: a fully integrated, AI-powered platform that manages homes, coordinates thousands of real-world service moments, and creates authentic belonging experiences for homeowners and residents. The member journey is the product. But the Residential OS only delivers on that promise if the operational machinery running beneath it is intelligent, instrumented, and self-improving.

Most companies say they are AI-first. At Belong, it means something specific: by the end of 2025, the majority of communications across sales, leasing, homecare, and concierge functions are AI-generated. Human Advisors and Concierges handle trust-critical moments. AI agents handle everything else: triage, scheduling, status updates, escalation routing, vendor coordination, documentation.

The operations product surface is where that architecture lives or dies. As Product Owner, Operations, your job is to design, deploy, and relentlessly improve the AI-powered system that runs the homeowner and resident journey from inspection through occupancy. You are not writing requirements for a future that engineers will build someday. You are shipping agent-driven workflows today, measuring their quality and deflection rates next week, and iterating the week after.

This role is for someone who understands that the frontier of operations is not better dashboards. It is autonomous systems that perform with the judgment of your best operator, at infinite scale, at the moment the member needs it.

Responsibilities

• AI agent architecture across the operational journey. Every operational phase, from home preparation, move-in orchestration, homecare and maintenance, to Pro coordination and vendor scheduling, has a human workflow today and an AI-assisted target state. You will define that target state phase by phase: what the agent handles autonomously, what triggers human review, what escalates immediately.

• The agent-human handoff model. The Member Journey Brief is explicit: humans are deployed at trust-critical moments. AI handles orchestration, speed, and precision behind the scenes. You are the person who defines exactly where that line sits, and who moves it systematically as agent quality improves.

• LLM-powered communication workflows. Belong's target is 80% AI-generated communications across operational functions by Q3. You will own the product layer that makes this real for operations: the prompt architecture, context retrieval pipelines, output quality review systems, and the feedback loops that improve generation quality over time.

• Foundation as the AI control panel. Foundation is where Belong's operational teams live. Every tool your squad ships into Foundation is either creating leverage for humans or replacing manual work with agent-driven automation. You will define the roadmap for Foundation's evolution from task management system to AI control panel: where agents surface for review, where exceptions queue for human action, where quality scores and deflection rates are visible in real time.

• Operational instrumentation and model feedback. AI systems degrade without structured feedback. You will build the instrumentation that captures ground truth: CSAT signals, escalation rates, rework rates, SLA breach patterns, and member sentiment. You will design the feedback loops that push this signal back into model evaluation and prompt improvement.

The AI Stack You Will Work With

• LLM-based communication generation with context injection from CRM and operational state
• Agentic scheduling and coordination workflows (Homecare triage, Pro dispatch, vendor coordination)
• Automated escalation routing based on signal classification
• Quality scoring and anomaly detection on agent outputs
• Retrieval-augmented generation for Concierge and Homecare agent context

What Success Looks Like

• 90 days: Every operational phase has a documented AI target state with defined autonomous scope, human escalation thresholds, and instrumentation in place.
• 6 months: AI-assisted workflows have measurably reduced manual communication volume across at least 2 operational functions with no CSAT degradation.
• Year 1: The majority of routine operational communications in your product surface are AI-generated. Human operators are handling exceptions, escalations, and trust-critical moments, nothing else.

Example KPIs You Will Be Held To

• AI deflection rate vs. manual handling baseline, by operational function
• CSAT from homeowners and residents at each operational phase (the constraint: deflection gains cannot come at CSAT cost)
• SLA compliance rates for homecare and Pro services
• Time-to-list (inspection to live listing)
• Move-in readiness rate and failed move-in rate
• Human escalation rate as a quality signal on agent confidence calibration

Who You Are

• AI systems thinker. You do not think about AI features. You think about AI systems: input context, output quality, fallback behavior, quality measurement, and continuous improvement loops.
• Operationally grounded. You have worked in environments where things break in the real world, with real vendors, real homes, real members, and you understand that an agent operating without the right context is more dangerous than no agent at all.
• Outcome obsessed. You hold deflection rate and CSAT simultaneously. You do not celebrate automation that degrades experience.
• Technically fluent. You can write a SQL query, read a vector similarity result, reason about retrieval quality, and understand the tradeoffs in a prompt engineering decision.
• Cross-functional driver. Operations, Homecare, Leasing, Vendor Ops, and Engineering all touch your surface. You run the rituals, translate across languages, and hold the delivery cadence.

What You Bring

• 3 to 5 years of product experience, with at least 1 to 2 years directly building or operating AI-powered products in a production environment
• Hands-on experience with LLM integrations, prompt engineering, RAG pipelines, or agentic workflow design
• Demonstrated ownership of operational tooling or service orchestration products in a marketplace, logistics, or operations-intensive environment
• Proficiency with data: SQL, funnel analysis, and the ability to detect when a metric is being gamed or misread
• Experience with AI evaluation frameworks and output quality measurement is a strong advantage
• Prior work in consumer real estate, hospitality, or residential services is a plus

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You'll lead the strategy, design, and execution of our QA program across FTE and vendor teams. Early on, you may be hands-on in building frameworks, calibrating reviews, and establishing reporting. As the program scales, you'll build and lead a team responsible for quality reviews, calibration, and performance insights across Support.

You'll work cross-functionally with Support, Learning & Knowledge, Support Operations, Product, and Engineering to ensure quality insights directly drive training, workflow improvements, automation strategy, and product feedback.

Responsibilities

• Build and lead the Support QA program, including evaluation frameworks, scoring models, review workflows, and calibration processes.
• Hire, develop, and manage QA specialists or analysts as the program scales.
• Define quality standards across ticket support, technical troubleshooting, and customer communication.
• Establish QA coverage strategy across FTE and vendor support teams.
• Lead calibration programs to ensure consistent quality standards across reviewers, teams, and regions.
• Partner with Learning & Knowledge to turn QA insights into training, onboarding improvements, and coaching strategies.
• Partner with Support Operations to embed quality signals into dashboards, reporting, and performance frameworks.
• Define and evolve quality standards for AI-assisted support, including agent assist usage, automation handoffs, and AI-generated content quality.
• Utilize Replit to build internal tooling and recommend external tooling when necessary to improve QA workflows and program scalability.
• Define and track key quality metrics (QA trends, CSAT correlation, escalation rate, escalation rate, repeat contact rate, policy adherence) and report insights to Support leadership.

Requirements

• 5+ years in Support Quality, Support Operations, Technical Support, or similar roles in a technology company.
• 2+ years in a people management or team leadership capacity.
• Experience building or significantly evolving a QA program, framework, or evaluation system.
• Strong understanding of customer support workflows, ticket lifecycle, and escalation patterns.
• Experience working with support platforms (Zendesk or similar) and QA tooling or review workflows.
• Strong analytical mindset with experience using data to identify trends and drive performance improvements.
• Experience working cross-functionally with Support leadership, Operations, and Enablement or Training teams.
• Strong written and verbal communication skills, including delivering structured performance feedback and coaching guidance.
• Experience working in fast-moving product environments with frequent releases and evolving workflows.
• Hands-on experience using AI tools (e.g., Replit, Claude, ChatGPT, or similar) to improve workflows, knowledge creation, training, or support operations.
• Experience managing or influencing quality across vendor or BPO support environments.

Nice to Have

• Experience designing QA programs for technical or developer-focused support environments.
• Experience building QA programs that support both human and AI-assisted support interactions.
• Experience partnering on support automation, routing, or workflow design decisions.
• Experience building QA dashboards, reporting frameworks, or performance analytics models.
• Background in coaching, enablement, or performance improvement programs.
• Experience scaling QA programs in high-growth or early-stage environments.

Bonus Points

• Has used Replit and built internal tooling
• Experience working with IDEs, terminals, or other common developer tools.

What We Value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Finance

Compensation

• $234K – $295K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Procurement Operations team runs the engine that turns intent into spend at OpenAI.

We sit between the people who need things (research, product, engineering, operations) and the systems that record, pay for, and report on them. Our job is to make it easy for teams to buy what they need while ensuring every dollar lands in the right place — on the right supplier, on the right PO, with the right data — so Finance, Legal, and Security can trust the outcome.

As OpenAI scales, this team is also where AI, automation, and self-service come to life. We design workflows that let more volume move touchlessly, while embedding controls and audit trails directly into the systems — so speed and rigor grow together. This team works side-by-side with Accounts Payable, Strategic Sourcing, Legal, Security, and Finance Systems to ensure the company can move fast without losing financial integrity or control.

About the Role

The Procurement Operations Leader owns the operational backbone of how OpenAI turns requests into committed, controlled, and payable spend. This role sits at the center of our purchasing lifecycle — ensuring that every request, PO, and supplier record is complete, policy-aligned, and ready to scale through automation, BPO support, and AI-assisted workflows already in production.

You’ll be responsible for the health of the intake-to-PO engine: how work enters the system, how it gets validated, how it routes, and how it lands in our financial systems. That includes strengthening the controls that keep us safe, the data that makes us fast, and the workflows that allow AI and self-service to do more of the work.

This is a player-coach role. You’ll design the systems and guardrails that enable scale, and you’ll also step into the queue when something breaks, when volume spikes, or when a complex case needs hands-on leadership.

Responsibilities

• Own the intake-to-PO operating model, including request validation, routing, PO creation, change management, and supplier master data.

• Ensure every request and PO is complete, policy-aligned, and audit-ready, with clean metadata that supports invoice matching and reporting.

• Increase first-pass invoice match rates by improving upstream data quality and exception logic.

• Reduce P2P cycle time through automation, self-service, and disciplined queue management.

• Codify approval rules, exception handling, and segregation of duties directly into Zip, Oracle, and connected systems.

• Expand and refine AI-assisted triage, validation, and routing so more volume moves through the system with less manual touchpoints.

• Build and maintain dashboards and operational metrics to track intake health, cycle time, exception rates, and control performance.

• Partner with Legal, Security, TPRM, and Finance Systems to ensure controls and policies are reflected in how work actually flows.

• Serve as the escalation point when operational breakdowns occur — and lead the resolution through to a clean outcome.

Requirements

• 10+ years of experience running procurement, P2P, or intake-driven operations in fast-scaling environments.

• A strong understanding of how upstream intake and metadata quality drive downstream invoice accuracy, audit readiness, and financial clarity.

• A passion for transforming messy, manual processes into structured, scalable, automated systems.

• Leveraged AI/automation to improve quality, speed, and scale.

• Used data and metrics to spot risk, bottlenecks, and opportunities to simplify.

• A strong grasp of controls, segregation of duties, and compliance requirements across Procurement, Legal, and Finance.

• Comfort being a technical leader and a player-coach.

What We Offer

• Competitive salary and bonus structure

• Comprehensive benefits package

• Opportunities for professional growth and development

• Collaborative and dynamic work environment

• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and experienced professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

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