Location

San Francisco

Employment Type

Full time

Department

Strategic Finance

Compensation

• $230K – $385K • 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 Role This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond.

You will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The role requires both technical depth and executive-level communication.

This position is based in our San Francisco HQ with a hybrid work model (three days in office per week). Relocation assistance is available.

The Vision

• Build causal inference and predictive analytics capabilities to measure and forecast LTV across customer segments (B2C and B2B), and quantify the incremental impact of different actions or product features on customer LTV.

• Design customer “happy paths” by identifying adoption journeys that maximize lifetime value while ensuring customers gain the most from our ecosystem.

• Analyze price elasticity to guide product packaging, monetization, and pricing strategies.

In this role, you will:

• Partner with cross-functional teams (Finance, Product, Data Engineering, GTM, and other DS teams) to build causal inference and predictive models that drive business decisions.

• Develop and maintain LTV models across product lines and customer cohorts.

• Architect scalable frameworks and models that democratize economic insights for leadership and functional teams.

• Support strategic pricing and investment decisions with robust analytical and causal evidence.

• Lead cross-functional data science initiatives, ensuring analytical rigor, clarity, and timely delivery.

You might thrive in this role if you:

• Executive communication — ability to distill complex analysis into clear, actionable recommendations for leadership.

• Technical breadth — comfort spanning ROI analysis, causal inference, statistical modeling, and ML predictive models; strong experience with Python and SQL.

• Strategic judgment — ability to connect analytical insights to business impact, delivering the “so what” that informs leadership decisions.

• Collaboration and ownership — thrive in a fast-paced, cross-functional environment and proactively take projects from concept to delivery.

Qualifications

• MS or PhD in a quantitative field (Statistics, Economics, Applied Math, Operations Research, Computer Science, etc.).

• 7+ years of experience in applied data science, causal inference, or quantitative strategy.

• Proven record of delivering high-impact insights to executive leadership.

• Experience building scalable analytical frameworks and models that inform business decision-making.

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.

XML job scraping automation by YubHub

Research Communications Manager

Location

San Francisco

Employment Type

Full time

Department

Communications

Compensation

$185K – $205K • 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

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity.

Our Communications team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI.

About the Role

OpenAI is seeking an experienced communications professional to join our Platform & Research Communications team. This role will work closely with the Research Communications Lead and in partnership with applied and engineering teams to shape how OpenAI’s scientific work is understood by researchers, journalists, policymakers, and the broader public.

This position is responsible for developing and executing external communications strategies around OpenAI’s research—from foundational model advances to applied science collaborations—ensuring accuracy, nuance, and alignment with OpenAI’s long-term goals. The ideal candidate brings strong science or technical fluency, excellent storytelling instincts, and experience navigating complex, high-stakes narratives.

You will partner closely with research leadership, individual researchers, policy, product, and cross-functional communications teams. This role requires both strategic judgment and hands-on execution in a fast-moving environment where research, product, and public discourse intersect.

This role is based in San Francisco, CA and follows a hybrid schedule (three days per week in office). Relocation assistance is available.

In this role you will:

Shape Research Narratives

• Develop clear, credible external narratives around OpenAI’s research roadmap, breakthroughs, and long-term scientific direction.

• Translate complex technical work into accessible stories without oversimplifying or overstating impact.

• Help define and reinforce OpenAI’s POV on key research topics (e.g., reasoning, alignment, interpretability, scientific discovery).

Lead Research-Focused Media Engagement

• Build and maintain trusted relationships with top-tier science, technology, and business journalists.

• Manage proactive and reactive media engagement related to research announcements, papers, collaborations, and emerging narratives.

• Prepare researchers and executives for interviews, briefings, and public appearances.

Support Research Launches & Publications

• Partner with research teams to plan communications for major papers, model releases, evaluations, and science initiatives.

• Collaborate with design, editorial, and social teams on blogs, explainers, visuals, and supporting materials.

• Ensure launches are grounded in evidence, aligned with policy and safety considerations, and appropriately scoped.

Cross-Functional Partnership

• Work closely with Product, Policy, Safety, Legal, and Marketing to align research communications with broader company goals.

• Serve as a communications thought partner to researchers—helping them anticipate questions, risks, and opportunities.

Risk Anticipation & Mitigation

• Identify potential reputational, scientific, or misinterpretation risks early.

• Develop mitigation strategies, Q&A, and guidance for sensitive or high-profile research topics.

• Help ensure OpenAI communicates responsibly about frontier capabilities and limitations.

You might thrive in this role if you have:

• 7+ years of experience in research, science, or technology communications

• Demonstrated experience working directly with scientists, engineers, or technical leaders.

• Strong understanding of AI, machine learning, or adjacent scientific domains

• Exceptional writing and editing skills, with the ability to adapt tone for expert and general audiences

• Proven judgment handling complex, ambiguous, or high-stakes narratives

• Experience managing multiple workstreams in a fast-paced environment with shifting priorities

XML job scraping automation by YubHub