At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Role Summary

The Infrastructure Services Engineer is a foundational execution role within Cloudflare’s Integrated Hardware Systems team, supporting the delivery of outsourced data center and infrastructure services that enable global hardware deployments at scale. This role focuses on day-to-day service execution, delivery tracking, and operational follow-through across Cloudflare’s data center footprint.

Role Responsibilities

• Support the execution and oversight of outsourced data center and infrastructure services supporting hardware deployment and lifecycle operations.
• Track service delivery related to rack installation, deployment support, remote hands, and in-data-center activities, ensuring work is completed to defined expectations.
• Identify delivery risks, service gaps, and recurring issues, escalating concerns and supporting resolution as needed.
• Analyze service performance, deployment trends, and vendor metrics to support operational insight and reporting.
• Maintain dashboards, trackers, and recurring operational reports used to monitor execution and service health.
• Support service reviews, readiness assessments, and onboarding activities for new sites and deployment waves.
• Serve as an operational liaison between Integrated Hardware Systems, Infrastructure Operations, Engineering, Procurement, and external service vendors to ensure clarity on responsibilities, handoffs, and escalation paths.

Role Requirements

Must-Have Skills

Experience supporting infrastructure operations, data center services, or hardware deployment activities. Familiarity with data center environments, rack-level hardware, or infrastructure build-out processes. Strong analytical skills with experience using spreadsheets, dashboards, or trackers to monitor execution and performance. Comfort working with operational metrics, SLAs, and service indicators. Clear written and verbal communication skills, with the ability to coordinate across teams and with external vendors. Strong sense of ownership, follow-through, and accountability in execution-heavy environments. Ability to operate effectively in fast-moving, operationally complex settings.

Nice-to-Have Skills

Experience working with outsourced service providers or vendor-managed operational models. Exposure to large-scale infrastructure deployments or global data center operations. Familiarity with service reviews, vendor evaluations, or commercial performance tracking.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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xAI is seeking a Manager, Safety Operations to oversee the processing of appeals and ensure proper labeling of use cases in the system.

Responsibilities

• Guide the team's use of proprietary software to provide labels, annotations, and inputs on projects involving safety protocols, risk scenarios, and policy compliance.
• Ensure the delivery of high-quality curated data that reinforces xAI's rules and ethical alignment.
• Mentor team members, conduct performance management and calibration, drive feedback on tasks that improve AI's defenses to detect illegal and unethical behavior, identify emerging abuse vectors, and implement process improvements and automations.
• Align Grok with our rules enforcement while collaborating cross-functionally to strengthen overall safety operations.

Basic Qualifications

• Proven leadership and people management experience in AI-driven operations, with a track record of developing high-performing teams.
• Expertise in improving Large Language Models (LLMs) to maximize efficiencies in enforcement and support and ability to propose and implement solutions to increase security and safety of our platform.
• Proven experience in online safety and reducing harm to protect our users and preserve Free Speech in the global public square.
• Ability to interpret, apply, and train teams on xAI safety policies effectively.
• Proficiency in analyzing complex scenarios and operational metrics, with strong skills in ethical reasoning, risk assessment, and team performance optimization.
• Strong ability to utilize resources, guidelines, and frameworks for accurate safety-focused actions, escalations, and talent development.
• Strong leadership, communication, interpersonal, analytical, and ethical decision-making skills.
• Quality assurance: Ability to hold the team to our high standard for quality work; managing performance as needed.
• Commitment to continuous improvement of processes, people, and operations to prioritize safety and risk mitigation.
• Expertise in data analysis to identify emerging abuse vectors, uncover opportunities for operational efficiencies, and design automations that strengthen enforcement effectiveness and platform safety.

Preferred Skills and Experience

• Experience managing teams in Trust and Safety for a social media company, leveraging AI or other automation tools.
• Expertise in leading red-teaming and adversarial testing of Large Language Models to proactively identify novel abuse vectors, jailbreaks, and safety failure modes, with a proven ability to translate findings into concrete improvements for enforcement systems, team processes, and platform robustness.

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Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

Key reasons to join Cyngn:

• We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.

• We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

• We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters,and that’s what powers our innovation.

About this role:

Cyngn is building a cloud platform that helps customers monitor, manage, and optimize fleets of autonomous industrial vehicles in real time. As a Full Stack Engineer (Mid–Senior), you’ll ship features end-to-end,from Python backend services to TypeScript/JavaScript frontends,on a small, high-impact team.

Responsibilities

• Build customer-facing web experiences: fleet dashboards, live views/maps, alerts, admin tools, and reporting using TypeScript/JavaScript.

• Build and evolve backend services in Python that power fleet operations, integrations, data ingestion, and analytics.

• Design and implement reliable APIs (REST and/or gRPC) that are well-documented and easy to integrate with customer systems.

• Deliver real-time features (live vehicle state, events, notifications, operator workflows) using WebSockets and event-driven patterns.

• Support “physical AI” workflows by connecting cloud software to autonomy/robotics systems,telemetry pipelines, command-and-control surfaces, and operational tooling that interacts with vehicles in the real world.

• Use modern AI tools and agents to move faster and raise quality (and help build customer-facing copilot experiences where it makes sense).

• Contribute to digital-twin simulation + validation loops (where applicable): support workflows that use simulation to test behaviors, validate releases, and reproduce field issues.

• Raise engineering quality through testing, code reviews, observability, and pragmatic reliability/performance improvements.

• Own meaningful chunks of the product: shape solutions, make tradeoffs, and drive work to completion.

Qualifications

• 2–4+ years of professional software engineering experience.

• Strong production experience with:

  • Python (backend services, APIs, data workflows)

  • TypeScript or JavaScript (frontend)

  • You’ve shipped and supported user-facing web applications (not just internal tools).

  • You’re comfortable building APIs and working with databases (SQL preferred; NoSQL is a plus).

  • You communicate clearly, take ownership, and bring a low-ego, collaborative approach.

  • You care about software that’s reliable in production, not just “works locally.”

Bonus Qualifications

• Real-time systems experience: WebSockets, SSE, streaming updates, pub/sub.

• Event-driven systems / messaging: Kafka, RabbitMQ, Pulsar, etc.

• Experience with telemetry-heavy or operational products: IoT, robotics, autonomy, fleet/dispatch, industrial software.

• Experience building analytics features: reporting, aggregations, operational metrics, customer-facing insights.

• Familiarity with scaling patterns: caching, background jobs, rate limiting, performance tuning.

• Strong habits using AI coding assistants/agents responsibly (verification, testing, high-signal reviews).

• Exposure to physical AI simulation tooling (e.g., NVIDIA Omniverse / Isaac Sim) or similar environments.

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)

• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)

• Company 401(k)

• Commuter Benefits

• Flexible vacation policy

• Remote or hybrid work opportunities

• Sabbatical leave opportunity after 5 years with the company

• Paid Parental Leave

• Daily lunches for in-office employees

• Monthly meal and tech allowances for remote employees

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• $234K – $260K • 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 Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI.

About the Role

We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment.

As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform.

The nature of this role will be low volume, high difficulty.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team.

• Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era.

• Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time.

• In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes.

• Design and refine incident response processes and documentation across strategic customers, engineering and support teams.

• Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows.

• Provide support coverage during holidays and weekends based on business needs.

You might thrive in this role if you:

• Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success.

• Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level.

• Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation).

• Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and communication with stakeholders.

• Are able to work effectively in a fast-paced environment, prioritize tasks, and manage multiple projects simultaneously.

• Are a strong communicator and team player, with excellent written and verbal communication skills.

• Are able to adapt to changing priorities and requirements, and are flexible in your approach to problem-solving.

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Trust & Safety Operations Analyst, Ads

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $189K – $280K • 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.

• 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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

At OpenAI, our User Safety & Risk Operations team is responsible for safeguarding our platform and users from abuse, fraud, and emerging threats. We operate at the intersection of product risk, operational scale, and real-time safety response—supporting users ranging from individuals to global enterprises, as well as advertisers and creators.

The Ads Trust & Safety Operations team protects our users, advertisers, and creators across all monetized surfaces. As OpenAI introduces new revenue-generating formats and partnerships, this team ensures these experiences remain safe, compliant, high-quality, and aligned with our broader safety standards. We partner closely with Product, Engineering, Policy, and Legal to identify emerging risks, build and mature enforcement systems, and ensure scalable, high-integrity operations.

About the Role

We’re looking for a senior operator to help build and scale Ads Trust & Safety Operations at OpenAI. In this role, you’ll drive critical Ads T&S workstreams end-to-end, partnering closely with Product, Policy, Engineering, Legal, and Operations to design scalable enforcement processes, strengthen detection and tooling, and ensure we’re prepared to support Ads and monetization safely at scale.

You’ll operate at the intersection of strategy and execution—translating ambiguity into structured programs, identifying operational risks, and driving measurable improvements across systems and workflows.

This role requires someone who is highly operational, excellent at execution, and comfortable driving clarity amid ambiguity. You should be eager to build scalable systems and processes from the ground up and work in lockstep with policy and product teams as we rapidly iterate on advertising strategies and features.

In this role, you will:

• Own complex, high-impact Ads Trust & Safety problem areas from strategy through execution.

• Design and scale operational workflows for Ads Trust & Safety, including enforcement models, review processes, escalation paths, and quality frameworks.

• Partner closely with Product, Policy, and Engineering to translate risk and policy requirements into scalable systems, tooling, and automation.

• Drive operational readiness for new Ads and monetization launches, features, and markets, identifying risks early and ensuring appropriate mitigations are in place.

• Use data to identify trends, gaps, and emerging risks across Ads surfaces; develop proposals and solutions grounded in metrics and operational signals.

• Contribute to the evolution of Ads Trust & Safety cross-functional strategy, including how safety scales with automation, classifiers, and self-service tooling.

• Act as a senior XFN partner and subject-matter expert, influencing direction through strong judgment, clear communication, and credibility.

You might thrive in this role if you have:

• 5+ years of experience in Trust & Safety, Business Integrity, Fraud & Abuse, Risk Operations, or a closely related domain.

• Deep familiarity with ads ecosystems and advertiser risk

• Proven ability to independently own ambiguous, cross-functional initiatives and drive them to completion.

• Strong operational judgment and systems thinking—able to design solutions that scale beyond manual review.

• Experience working closely with Product, Policy, and Engineering teams on enforcement systems, tooling, or automation.

• Comfort using data and operational metrics to inform decisions, prioritize work, and measure impact.

• Excellent written and verbal communication skills, including the ability to explain complex risk tradeoffs to diverse audiences.

• Experience designing or partnering on automated enforcement, classifiers, or decision-support tools.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits humanity. It was founded in 2015 and has since grown to become a leading player in the AI industry.

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About the Role

We are hiring a Human Data & Research Services Strategic Sourcing Manager (Operations & Analytics) to support day-to-day sourcing execution and operational excellence across the category.

Human Data is the large-scale collection and curation of high-quality human-generated inputs—such as annotations, evaluations, and research data—that are essential to training, validating, and improving OpenAI’s models, ensuring they are accurate, safe, and aligned with real-world use cases.

This role is intentionally operational and analytically focused, designed to complement senior strategic leadership driving large, complex, and novel engagements. You will own and execute early to mid-tier supplier engagements, manage sourcing workflows end-to-end, and ensure clean execution across procurement systems and stakeholder touchpoints.

Responsibilities

Sourcing & Deal Execution

• Own and execute end-to-end sourcing activities for Human Data and Research Services suppliers.

• Support new supplier onboarding, renewals, amendments, and scoped expansions in partnership with senior sourcing leadership.

• Draft, review, and operationalize SOWs, pricing exhibits, and commercial terms in coordination with Legal and Finance.

• Ensure supplier engagements align with category strategy, commercial guardrails, and internal policies.

Operational Excellence

• Act as a primary operator across procurement and contracting tools including Zip, Ironclad, and Slack.

• Manage intake requests, approvals, contract routing, and documentation hygiene with a high degree of accuracy.

• Track deal status, approvals, spend thresholds, and execution risks across a live portfolio of suppliers.

• Maintain clean records and reporting to support audits, leadership updates, and forecasting, and compliance.

Analytics & Insights

• Analyze supplier spend, usage trends, deal velocity, and operational bottlenecks.

• Produce clear summaries and insights for senior stakeholders to inform prioritization and decision-making.

• Identify opportunities to standardize, streamline, or improve sourcing workflows across the category.

Cross-Functional Collaboration

• Partner closely with Human Data Ops, Research teams, Finance, Legal, Privacy, and Security to unblock deals.

• Serve as a trusted point of contact for internal stakeholders navigating procurement and contracting processes.

• Communicate clearly and concisely via Slack and written updates to keep workstreams moving.

Requirements

• 7+ years of experience in strategic sourcing, procurement, operations, or vendor management.

• Demonstrated experience managing multiple concurrent supplier engagements with strong attention to detail.

• High operational fluency with tools such as Zip (or equivalent intake tools), Ironclad (or CLM systems), and Slack.

• Strong analytical skills — comfortable working with spend data, contract terms, and operational metrics.

• Ability to execute independently while partnering effectively with senior stakeholders.

• Excellent written and verbal communication skills.

Nice to Have

• Experience supporting Human Data, Research, AI/ML, or technical services categories.

• Proficient in Familiarity with SOW-based services, usage-based pricing, or research-driven vendor models.

• Prior experience operating in fast-scaling or ambiguous environments.

• Comfort working alongside senior leadership on sensitive or high-impact initiatives.

Compensation

• $234K – $260K • 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 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 what is possible with AI and strive to create a future where AI is a force for good.

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As the Global Business Insights & Automation Lead, you will combine the analytical depth of a data scientist with the strategic storytelling and executive communication of a management consultant. You will lead a small, high-impact team to design, automate, and operationalize global business insight systems that power OpenAI’s decision-making at scale.

You’ll work closely with Finance leadership, GTM, Product, and Engineering to surface the “why behind the numbers,” automate recurring analytics, and develop frameworks that connect business drivers to company strategy. This is a hands-on leadership role — equally focused on building analytical frameworks, mentoring talent, and shaping executive narratives.

In this role, you will:

• Become an expert in OpenAI’s data, systems, and business dynamics across products and regions.

• Lead the design and implementation of global KPI frameworks and insight automation systems that serve cross functional partners.

• Architect scalable data products — dashboards, variance analyzers, pacing models, and agentic workflows — to deliver proactive insights.

• Automate recurring reporting and analysis using OpenAI’s internal tools, surfacing real-time business trends and performance drivers.

• Partner with FP&A to connect financial performance with operational and product metrics, improving forecasting accuracy and investment decisions.

• Build models and frameworks for segmentation, pricing, and LTV to uncover growth opportunities and efficiency levers.

• Translate complex analyses into clear, concise executive narratives — distilling technical detail into actionable insights.

• Coach and develop a small, high-performing team of analytics engineer and data scientists, ensuring analytical rigor and stakeholder trust.

You might thrive in this role if you:

• Have 10+ years of experience in analytics, business insights, or data science — ideally combining experience at McKinsey, Bain, or BCG with hands-on work in a high-growth technology company.

• Hold an advanced degree (MS or PhD) in a quantitative field (Statistics, Economics, Computer Science, Operations Research, etc.).

• Are comfortable in SQL and Python, and comfortable building analytical models and automated pipelines.

• Have deep experience with BI tools such as Tableau and have built scalable dashboards and metric layers used by executives.

• Bring a strong understanding of financial and operational metrics (e.g., revenue, margin, LTV, CAC, WAU/DAU, ARPU) and how they interact across functions.

• Excel at executive storytelling — simplifying complexity and influencing decisions with clarity and credibility.

• Thrive in fast-moving, ambiguous environments and take ownership of problems end-to-end.

Why this role matters

This role sits at the intersection of data, strategy, and automation. You will shape how OpenAI’s leadership measures performance, understands trade-offs, and drives growth — building the systems, models, and narratives that turn data into decisions.

About the Team

The Strategic Finance Data Science team builds the analytical and automation foundation that powers OpenAI’s most important business and financial decisions. We partner across Finance, Product, Engineering, and Go-to-Market to create a unified understanding of company performance — transforming data into proactive insights and intelligent systems that guide OpenAI’s growth.

Our mission is to enable the Finance of the Future: an integrated ecosystem where data, models, and agentic workflows automate insight delivery and help leaders make better, faster, and more confident decisions.

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 artificial general intelligence and develop and apply AGI in areas like climate change, healthcare, and education.

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