The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $333K – $445K, and total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits include:

• 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:

We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to identify, structure, and scale partnerships that expand how businesses adopt and benefit from OpenAI. You will work across priority sectors, including legal, professional services, information services, and other B2B categories, while maintaining the flexibility to pursue the highest-impact opportunities as the market evolves.

About the Role:

You are a senior business development and partnerships leader with strong judgment, high ownership, and a track record of originating and closing complex partnerships. You can move from market strategy and executive engagement through deal development, launch, and growth. You combine strategic thinking, commercial discipline, and hands-on execution, and you can create clarity and momentum across multiple internal and external stakeholders.

Key Responsibilities:

• Develop a portfolio strategy for high-impact B2B partnerships.
• Identify and prioritize partners based on customer reach, differentiated data or workflows, distribution, strategic value, and growth potential.
• Originate, structure, negotiate, and launch complex product and commercial partnerships.
• Build joint value propositions and business plans spanning integration, distribution, go-to-market, and customer adoption.
• Lead executive relationships and establish durable cross-functional partnership governance.
• Coordinate product, engineering, sales, marketing, legal, finance, security, policy, and operations to deliver partnership outcomes.
• Translate partner and market insight into product strategy and new partnership models.
• Track adoption, pipeline, revenue impact, strategic milestones, and partner performance, and communicate progress and risks clearly.

Qualifications:

• 10+ years of experience in strategic partnerships, business development, enterprise technology, or platform ecosystems.
• Proven experience personally originating and closing complex partnerships with senior executives.
• Demonstrated ability to evaluate opportunities across industries without relying on a single-sector playbook.
• Strong understanding of enterprise workflows, SaaS, data, AI products, and B2B distribution models.
• Excellent strategic and commercial judgment, with the ability to make principled tradeoffs and drive disciplined execution.
• Strong cross-functional leadership across product, engineering, GTM, legal, finance, security, policy, and operations.
• Outstanding executive communication and relationship-building skills in a fast-moving, ambiguous environment.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $400K – $445K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.

Benefits include:

• 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
• 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

About the Team

We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to define and lead the strategy, roadmap, operating model, and growth of OpenAI’s B2B marketplace. You will build the scalable foundation through which customers discover, evaluate, adopt, and manage trusted third-party solutions built on and with OpenAI’s models.

About the Role

You are a senior marketplace and ecosystem leader with strong judgment, high ownership, and a track record of building scaled B2B platforms. You are comfortable moving between product design, commercial strategy, ecosystem development, and operations, and you can create clarity where there is no playbook. You bring the credibility to align senior internal and external stakeholders while moving quickly and executing at a high bar.

Key Responsibilities

• Define the vision, strategy, roadmap, and success metrics for OpenAI’s marketplace.
• Own marketplace business performance across partner supply, customer demand, adoption, transaction volume, partner success, solution quality, and customer trust.
• Partner closely with product and engineering to shape discovery, listing, evaluation, procurement, billing, deployment, identity, governance, security, and measurement capabilities.
• Build a high-quality ecosystem of ISVs, developers, service providers, and other third-party solution partners.
• Design marketplace commercial models, policies, incentives, and partner economics with finance, legal, security, policy, and operations.
• Create scalable go-to-market motions across sales, co-sell, private offers, marketing, and customer success.
• Establish standards for solution quality, safety, compliance, performance, and lifecycle management.
• Build and lead the marketplace team and operating cadence, aligning cross-functional owners against clear priorities and outcomes.

Qualifications

• 15+ years of experience in marketplaces, platforms, ecosystems, product, partnerships, or general management.
• Proven experience owning a scaled B2B marketplace or platform business with measurable commercial and customer outcomes.
• Deep understanding of both sides of marketplace development: partner supply and customer demand.
• Strong product and commercial judgment, with the ability to make principled tradeoffs across growth, quality, trust, and ecosystem health.
• Demonstrated ability to build alignment across product, engineering, sales, marketing, finance, legal, security, policy, and operations.
• Outstanding executive communication and relationship-building skills across internal leaders, customers, and partners.
• Experience building teams and operating models in a complex, fast-moving technology company.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $239K – $342K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.

Benefits include:

• 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
• 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

About the Team

The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. They operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.

About the Role

We are hiring a B2B Enterprise Paid Marketing leader to build and scale global demand generation across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy for complex enterprise buying journeys, connect paid media to account-based marketing (ABM) programs, and own performance from target-account engagement through pipeline and revenue.

You will partner closely with Sales, GTM, field marketing, product marketing, marketing operations, data science, finance, design, and product to translate enterprise priorities into coordinated campaigns. This team combines rigorous measurement with close sales alignment, rapid experimentation, and a deep understanding of buying committees, long sales cycles, and regional enterprise needs.

Responsibilities

• Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for enterprise audiences, including planning, forecasting, budget pacing, audience design, and performance management.
• Build and scale ABM programs across priority accounts and segments, coordinating paid media with sales outreach, field marketing, executive engagement, events, and lifecycle programs.
• Partner with Sales and GTM leadership to align investment with account priorities, territories, pipeline goals, and product or solution plays.
• Optimize performance across the enterprise funnel, from account engagement and qualified demand through opportunities, pipeline, and revenue, with clear attribution and incrementality frameworks.
• Develop audience and messaging strategies for buying committees, industries, company sizes, use cases, and stages of the enterprise purchase journey.
• Create a closed-loop operating rhythm with Sales and Marketing Operations that turns account-level signals, pipeline quality, and win/loss feedback into channel decisions.
• Design experiments and scalable playbooks across markets while accounting for regional sales motions, localization needs, privacy constraints, and platform nuances.
• Build AI-enabled creative, targeting, reporting, and optimization workflows that increase speed and personalization while maintaining quality and control.

Requirements

• 10+ years of B2B growth, demand generation, or performance marketing experience, including meaningful ownership of enterprise programs.
• 6+ years of deep, hands-on experience leading paid marketing across channels, including Paid Search, Paid Social, Programmatic, and Affiliate, at both an operational and strategic level.
• A strong track record building and scaling enterprise ABM programs that generate measurable account engagement, qualified pipeline, and revenue.
• Experience partnering closely with Sales, GTM, field marketing, product marketing, and marketing operations to plan and execute integrated campaigns.
• Deep understanding of complex B2B buying journeys, buying committees, long sales cycles, account segmentation, and sales-assisted conversion.
• Experience connecting media and account signals across CRM, marketing automation, intent, attribution, and BI systems to guide investment decisions.
• Strong analytical and experimentation skills, including incrementality, attribution tradeoffs, pipeline measurement, and translating analysis into action.
• Experience scaling enterprise marketing across international markets with thoughtful localization and alignment to regional sales motions.
• Excellent stakeholder management and communication skills, a test-and-learn mindset, and comfort operating in fast-moving environments and adopting AI-enabled workflows.

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $189K – $265K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.

Benefits include:

• 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
• 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

About the Team

The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. They operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.

About the Role

We are hiring a Consumer Paid Marketing leader to own and scale global acquisition across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy, oversee execution at significant scale, and grow a broad consumer product across diverse audiences, use cases, and international markets.

You will partner closely with product, engineering, data science, finance, design, brand, creative, lifecycle, and regional marketing to connect paid experiences to in-product journeys. This team combines rapid iteration, rigorous measurement, consumer insight, and culturally relevant creative to drive acquisition, activation, retention, and long-term user value worldwide.

Responsibilities

• Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for a scaled consumer product, including planning, forecasting, budget pacing, audience strategy, and performance management.
• Manage significant investment across a broad international portfolio, balancing global consistency with market-level opportunity, platform dynamics, and cultural nuance.
• Optimize the full consumer journey from acquisition through activation, engagement, retention, and monetization, with a focus on durable unit economics and cohort quality.
• Develop audience, use-case, offer, and creative strategies that reach diverse consumer segments and translate across languages, cultures, and stages of product maturity.
• Partner with regional marketing and localization teams to prioritize markets, adapt campaigns, and build repeatable international launch and scaling playbooks.
• Drive experimentation and incrementality measurement, defining hypotheses, designing tests, and translating consumer and market insights into channel decisions.
• Partner cross-functionally with product, engineering, data science, lifecycle, brand, and creative to improve conversion journeys, measurement foundations, and growth systems.
• Build AI-enabled creative, targeting, reporting, and optimization workflows that increase iteration velocity and personalization while maintaining quality and brand integrity.

Requirements

• 8+ years of consumer growth, acquisition, or performance marketing experience, ideally for a scaled global technology, marketplace, subscription, or mobile product.
• 6+ years of deep, hands-on experience leading paid marketing across channels, including Paid Search, Paid Social, Programmatic, and Affiliate, at both an operational and strategic level.
• A track record of scaling consumer paid programs at significant budget and audience levels while delivering measurable acquisition and long-term value outcomes.
• Substantial experience leading international consumer marketing across multiple regions, languages, and levels of market maturity.
• Strong understanding of consumer behavior, segmentation, creative strategy, localization, and the relationship between paid media and the end-to-end product experience.
• Strong analytical and measurement skills, including experimentation, incrementality, attribution, cohort quality, retention, monetization, and LTV/CAC.
• Experience partnering with product, engineering, data science, lifecycle, brand, creative, finance, and regional teams to build durable growth systems.
• Demonstrated ability to balance global scale with local relevance, including adapting audiences, messaging, creative, and channel mix to market-specific needs.
• Excellent stakeholder management and communication skills, a test-and-learn mindset, and comfort operating in fast-moving environments and adopting AI-enabled workflows.

XML job scraping automation by YubHub

The base pay offered is $171K – $190K, with generous equity, performance-related bonuses, 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
• 401(k) retirement plan with employer match
• Paid parental leave and paid medical and caregiver leave
• Paid time off and flexible PTO
• Multiple paid company holidays and coordinated office closures
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in our offices and meal delivery credits
• Relocation support for eligible employees

In this role, you will:

• Support day-to-day internal communications for the Enterprise & Growth portfolio
• Help plan and execute internal events for supported executives and teams
• Support logistics and execution for company-wide customer storytelling programs
• Monitor high-traffic Slack channels and other employee feedback signals
• Maintain intake and calendar, tracking key moments and milestones
• Contribute to broader Internal Communications priorities as needed

You might thrive in this role if you have:

• 3+ years of experience in internal communications, event coordination, marketing communications, operations, or a related field
• Experience supporting internal events and team meetings
• Excellent organization and project coordination skills
• Sound judgment and discretion when handling confidential or sensitive information
• A collaborative approach, with the ability to build trust and keep cross-functional teams aligned

XML job scraping automation by YubHub

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $251K – $335K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits include:

• 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
• 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

About the Team

The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. The Enterprise AI Deployment Engineering team supports complex organizations across Professional Services, Media and Entertainment, Telecommunications, and Private Equity.

About the Role

We are seeking a Manager to build, lead, and develop a team of AI Deployment Engineers supporting OpenAI’s Enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio.

In This Role, You Will

• Build, manage, and develop a high-performing team of AI Deployment Engineers supporting enterprise customers across Professional Services, Media and Entertainment, Telecommunications, and Private Equity.
• Own the quality and impact of the team’s work across solution design, implementation, production readiness, adoption, and expansion.
• Coach the team through complex decisions involving architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost.
• Establish a clear operating model for prioritizing accounts and engagements based on customer need, strategic value, technical complexity, and the potential for repeatable impact.
• Serve as a senior technical escalation point during critical launches, production incidents, complex integrations, and high-stakes customer decisions.
• Partner with customer executives and technical leaders to connect deployment decisions to measurable business and operational outcomes.
• Help customers progress from isolated experimentation to production deployments and sustained adoption across teams, workflows, and business units.
• Work closely with Sales and Solutions Engineering to create continuity across the customer lifecycle and maintain shared accountability for customer success.
• Translate customer needs and recurring deployment challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams.
• Distinguish scalable market patterns from bespoke requests and advocate for investments that can benefit multiple customers.
• Develop reusable architectures, evaluation approaches, playbooks, tooling, and enablement that improve time to value across the enterprise portfolio.
• Create mechanisms to measure production deployments, usage, adoption, customer outcomes, delivery quality, team capacity, and the impact of reusable work.
• Hire thoughtfully, raise the technical and leadership bar of the organization, and foster a culture of accountability, curiosity, collaboration, and continuous learning.
• Represent OpenAI with credibility and sound judgment in conversations with senior customer and internal stakeholders.

You Might Thrive in This Role If You

• Have significant experience managing customer-facing technical teams, such as Solutions Architects, Deployment Engineers, Forward Deployed Engineers, Technical Account Managers, or similar functions.
• Have built or led teams responsible for deploying complex software, data, machine learning, or AI systems in enterprise environments.
• Maintain enough technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions.
• Have experience taking AI, machine learning, or other technically complex systems from prototype to production.
• Understand the requirements of production systems, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness.
• Have led teams through ambiguity, competing priorities, escalations, and rapidly changing products or markets.
• Can translate between technical details, customer needs, product strategy, and business outcomes.
• Have experience working with large, complex organizations that include multiple business units, stakeholder groups, procurement processes, or governance requirements.
• Demonstrate strong executive presence and can build trust with engineering leaders, business executives, security teams, and other senior stakeholders.
• Have designed operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes for a growing technical organization.
• Are a strong cross-functional partner who can navigate disagreement directly while maintaining trust and shared accountability.
• Use data and clear principles to allocate limited resources across a large portfolio of opportunities.
• Care deeply about developing people and have a track record of coaching team members, raising performance, and building inclusive teams.
• Are energized by the opportunity to help organizations adopt frontier AI responsibly and translate emerging capabilities into durable value.

XML job scraping automation by YubHub

Estimated Base Salary $189K – $240K • Offers Equity • Offers Commission

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.

About the team

OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team helps customers understand, adopt, and deploy OpenAI's technology across their most important workflows. The team is made up of Sales, Solutions, Support, Marketing, and Partnerships professionals who work together to bring AI to as many people and organizations as possible.

About the role

As an Account Director focused on Life Sciences, you will own executive-level relationships with organizations across biopharma, medical technology, and life science services. This includes pharmaceutical and biotechnology companies, medical device and diagnostics companies, contract research organizations, contract development and manufacturing organizations, research tools companies, and laboratory or scientific services providers.

This is a role for someone who understands how life sciences companies create, validate, manufacture, commercialize, and support scientific and medical products. You will help these customers evaluate and deploy OpenAI's technology to accelerate R&D, improve clinical and regulatory workflows, scale scientific and medical content operations, modernize commercial and field teams, and improve knowledge work across highly regulated environments.

The role blends scientific literacy, enterprise sales discipline, technical curiosity, and relationship-driven account leadership. You will partner closely with solutions, research, product, legal, security, and compliance teams to design secure, responsible, and high-impact AI deployments for life sciences customers.

In this role, you will:

• Manage a focused portfolio of strategic life sciences accounts across biopharma, medtech, diagnostics, CROs, CDMOs, and life science services
• Develop long-term account plans that map OpenAI capabilities to customer priorities across R&D, clinical development, regulatory, manufacturing, medical affairs, commercial, and enterprise IT
• Lead complex, multi-stakeholder sales cycles with executives, technical leaders, scientific stakeholders, procurement, legal, privacy, security, and compliance teams
• Identify and shape high-value AI use cases such as drug discovery support, clinical trial operations, regulatory submissions, medical writing, pharmacovigilance, field enablement, customer operations, and enterprise knowledge workflows
• Partner with solutions and research engineering to design pilots and deployments that demonstrate measurable business, scientific, and operational impact
• Collaborate with privacy, security, legal, and compliance partners to support responsible AI deployment in regulated life sciences environments, including GxP and global data governance considerations
• Own revenue, consumption, pipeline, forecast accuracy, and expansion strategy for your accounts
• Monitor life sciences industry trends, regulatory shifts, competitive dynamics, and customer buying patterns to inform account strategy and the broader OpenAI go-to-market motion
• Represent OpenAI in life sciences industry forums and customer executive conversations, including settings such as JPM, BIO, HLTH, and targeted biopharma or medtech leadership events
• Partner cross-functionally with marketing, partnerships, communications, and product teams to build a repeatable life sciences go-to-market motion

We're seeking someone with experience including:

• 14+ years selling complex enterprise software, cloud, AI, data, or platform solutions to life sciences customers
• A track record of building and growing strategic accounts across biopharma, medtech, diagnostics, CROs, CDMOs, life science services, or adjacent scientific industries
• Proven success achieving and exceeding multi-million-dollar annual revenue targets in complex, regulated enterprise environments
• Experience managing C-suite and senior stakeholder relationships across R&D, clinical, regulatory, manufacturing, medical affairs, commercial, enterprise IT, security, and data organizations
• Strong understanding of life sciences workflows such as drug discovery, translational research, clinical development, regulatory submissions, quality, manufacturing, medical affairs, market access, and commercial operations
• Familiarity with data privacy, security, compliance, validation, GxP, and responsible AI considerations relevant to life sciences companies
• Demonstrated ability to create account strategy, navigate large buying committees, build executive consensus, and close complex platform or transformation deals
• Ability to translate technical AI capabilities into concrete business, scientific, and operational outcomes for life sciences customers

You might thrive in this role if you:

• Are energized by helping life sciences companies use AI to advance scientific discovery, product development, and commercial impact
• Can translate complex scientific, technical, regulatory, and business needs into clear AI adoption strategies
• Are comfortable selling to both technical and non-technical executives across R&D, commercial, IT, data, security, legal, and compliance functions
• Bring curiosity about biology, medicine, devices, diagnostics, research services, and the changing operating model of life sciences companies
• Are a builder who enjoys creating repeatable sales motions, customer narratives, and proof points in an emerging market
• Are a strategic account leader who can move from executive vision to practical pilot design, adoption planning, expansion strategy, and measurable customer impact
• Are comfortable operating with ambiguity and creating clarity across complex, cross-functional engagements

XML job scraping automation by YubHub

• $220K – $405K • Offers Equity

U.S. Benefits

Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.

International Benefits

Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.

USD salary ranges apply only to U.S.-based positions. International salaries are set based on the local market. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Perplexity API Platform

Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers.

From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike.

Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.

About this role

Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.

As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).

Key Responsibilities

• Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.

• Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).

• Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.

• Harden system security and reliability across heterogeneous compute environments.

• Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs.

• Uphold engineering excellence through design reviews, code quality, and internal documentation.

Qualifications

• 5+ years of backend engineering experience with Python, Go, or Rust.

• Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.

• Hands-on cloud experience (AWS preferred), along with fluency with Kubernetes, CI/CD, and modern DevOps practices.

• Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus.

• Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.

XML job scraping automation by YubHub

$220K – $405K • Offers Equity

U.S. Benefits

Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.

International Benefits

Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.

USD salary ranges apply only to U.S.-based positions. International salaries are set based on the local market. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Perplexity API Platform

Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers.

From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike.

Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.

About this role

Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.

As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).

Key Responsibilities

• Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.

• Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).

• Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.

• Harden system security and reliability across heterogeneous compute environments.

• Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs.

• Uphold engineering excellence through design reviews, code quality, and internal documentation.

Qualifications

• 5+ years of backend engineering experience with Python, Go, or Rust.

• Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.

• Hands-on cloud experience (AWS preferred), along with fluency with Kubernetes, CI/CD, and modern DevOps practices.

• Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus.

• Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.

Compensation Range: $220K - $405K

XML job scraping automation by YubHub

• $250K – $405K • Offers Equity

U.S. Benefits

Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.

International Benefits

Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.

USD salary ranges apply only to U.S.-based positions. International salaries are set based on the local market. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

About Perplexity AI

Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.

About the Role

Perplexity is seeking creative, AI-pilled engineers to join our Acceleration team. Our company is reshaping the way people navigate the internet and the wider world. The Acceleration team's mandate is to continually up-level the way our company and our teams operate, to deliver order-of-magnitude improvements in product and user experience.

Just as Perplexity is heralding an agentic future for the internet, you will ensure that our company makes the best use of AI tools and agents to multiply the leverage of our lean, mission-focused teams. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Tomorrow’s AI technology will be even more capable, and the Acceleration team will lead both software and process engineering to harness AI so that the company can deliver at maximum velocity.

The ideal candidate will possess sound technical judgment forged in the trenches of internet-scale companies, paired with voracious use of today’s most advanced AI tools/models and a capacious imagination to rethink how work gets done in the leading companies of tomorrow. They should thrive in a hybrid role that marries facets of AI product development, infrastructure/platform engineering, developer experience, and more.

Key Responsibilities

• Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity’s delivery cadence with frontier AI capabilities.

• Develop empathy for the nuances of our technical and business teams’ work across disciplines and verticals, toward collaborating with them to harness AI in new ways.

• Make our codebases, systems, and knowledge stores legible to AI.

• Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents.

• Keep abreast of new AI tools/models and make maximally effective use of them in your own work, setting an example across the company and inspiring others to do the same.

• Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default.

• Work with engineering leadership, recruiting, and others to ensure we instill an AI-forward culture and select for those who will thrive in such an environment.

Note: _this is an extremely technical and hands-on role. Strong vision and creativity is necessary but not sufficient for success. You will be expected to build both prototypes and production systems, as well as to reengineer our codebases, infrastructure, processes, and anything else that must evolve to realize this vision._

Qualifications

• 5 to 15+ years of industry experience, ideally with a substantial portion focused on infrastructure/platform engineering or developer acceleration in environments featuring significant technical complexity.

• Daily use of AI models/tools, along with strong intuition on their jagged frontiers.

• Proficiency with Python, along with experience and/or desire to learn more about Rust, TypeScript, Go, and other languages.

• Strong understanding of (and empathy for) the work of technical staff across disciplines, along with an enthusiasm to learn about the work of business and operations teams.

• Broad working knowledge of the typical stacks used by AI product & applied research companies. (For example: you don’t need to have experience hand-rolling CUDA kernels, but you should know what CUDA is and when/where/why it’s used.)

• An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes.

• Experience navigating tricky exploration-exploitation tradeoffs, balancing the need to ship today with the need to build capacity for tomorrow.

If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Compensation Range: $250K - $405K

XML job scraping automation by YubHub

You will design, build, and own growth surfaces across the full funnel for Computer and every Perplexity product. You will lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.

You will build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. You will launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.

You will hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. You will partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.

The ideal candidate will have 2+ years of professional software engineering experience, full-stack engineering skills, and strong execution. They will be comfortable with A/B testing and experimentation platforms, SQL, and data-informed decision-making. They will have strong product judgment and self-motivation with strong ownership instincts.

XML job scraping automation by YubHub

This is a video-production-first role. You'll spend most of your time concepting, animating, and shipping GTM materials for social , fast, polished, and distinctly Perplexity. In a secondary capacity, you'll help define our motion principles and contribute to broader creative technologist work as our motion practice matures.

You'll report into the Brand/Creative Studio team and work closely with Brand, Growth, Comms, and the Producer to keep the pipeline moving.

Responsibilities:

• Own the creation of motion graphics and video content for our social channels , concepting, storyboarding, animating, and delivering GTM materials end-to-end
• Make video production your primary focus: a consistent, high-volume output of polished, on-brand motion work
• Bring ideas to life across 2D and (where relevant) 3D, from styleframes and animatics to final delivery
• Partner with Brand and Growth to turn launches and campaigns into motion that lands on social
• Contribute to Perplexity's motion principles, systems, and templates so motion scales consistently across the team (secondary focus)
• Contribute to broader creative technologist explorations , new tools, techniques, and AI-assisted workflows (secondary focus)
• Collaborate with the Producer on scoping, scheduling, and delivering work on time

Requirements:

• Senior-level experience in motion graphics and animation, with video production as your core craft
• A strong portfolio of expressive motion work , especially social, campaign, and GTM content that demonstrates range and polish
• Deep command of animation fundamentals: timing, spacing, composition, visual rhythm, and design sensibility
• Expert proficiency in After Effects and the broader Adobe Creative Suite; comfort in Figma
• Ability to work fast, manage multiple deliverables, and iterate quickly in a high-output environment
• A strong sense of when motion adds clarity or emotion , and when a still is the better choice

Nice to have:

• Experience developing motion principles, systems, or toolkits that scale across a team
• Comfort across 2D and 3D, plus compositing, post-production, and optimization for different social platforms
• Creative technologist instincts , building or experimenting with tools and AI-assisted motion workflows
• Graphic design fluency (layout, hierarchy, type) sufficient to build and adapt assets directly

XML job scraping automation by YubHub

You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time.

You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers.

Responsibilities:

• Own the design of marketing pages, landing pages, and growth surfaces end-to-end , you're the DRI for web craft
• Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves
• Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs
• Work with Brand to keep visual consistency across every web touchpoint
• Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer
• Bring a strong point of view on layout, typography, motion, and interaction design for the web
• Raise the floor on self-serve page creation so the design team can focus on the highest-craft work

Requirements:

• A strong portfolio of web and marketing design work , landing pages, campaign pages, product marketing sites , that shows you're a designer first
• Excellent visual design skills with a clear sense of brand, typography, and composition
• Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems
• Experience at the intersection of brand and growth , you understand conversion without sacrificing craft
• Comfort working fast and iterating in real time alongside engineers
• Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance
• A clear opinion on what makes a great web page, and the ability to articulate why

Nice to have:

• Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship)
• Background in brand or marketing design at a consumer tech company
• Familiarity with SEO fundamentals and how design decisions affect discoverability
• Motion design skills for web interactions and micro-animations

XML job scraping automation by YubHub

As a leader in this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus.

Key responsibilities include:

• Crafting and continuously refining the strategic vision and operating model for the Startups AI Deployment Engineering team
• Leading, mentoring, and growing a team of high-performing technical ICs supporting startup customers
• Helping startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment
• Partnering closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth
• Representing the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases

Success in this role may look like increased startup account usage, a strong cadence of successful customer sprints and production-oriented technical engagements, high-quality customer stories, and the creation of repeatable startup deployment patterns.

Experience in founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution, is a must. Strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations is also essential.

XML job scraping automation by YubHub

$230K – $325K • 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.

About the Team

OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.

About the Role

As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.

Depending on your background and team alignment, you may work on areas such as:

• Measure harmful or abusive behavior across OpenAI’s products

• Detect fraud, manipulation, coordinated misuse

• Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows

• Design experiments and causal analyses to understand product, policy, and mitigation impacts

• Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks

• Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs

• Translate ambiguous safety risks into measurable problems and evidence-based recommendations

• Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes

• Build zero-to-one analytical systems in rapidly evolving domains

Ideal Candidate

We’re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.

You may be a fit if you have:

• Strong statistical reasoning and analytical judgment

• Experience with experimentation, causal inference, or observational analysis

• Strong SQL and Python skills

• Experience working with messy, incomplete, or noisy datasets

• Ability to structure open-ended business or risk problems

• Excellent communication with technical and non-technical stakeholders

• High ownership and comfort operating independently

Why This Role

• Work on mission-critical problems with world-level impact

• Help shape how frontier AI systems are deployed safely

• Operate with unusual ownership and visibility

• Solve novel problems where there are no existing playbooks

• Join highly collaborative teams working across OpenAI

Location

San Francisco, New York, or London depending on team alignment and business need.

Compensation Range

$230K - $325K USD

Benefits

• Comprehensive health insurance

• Retirement savings plan

• Paid parental leave

• Flexible PTO

• Professional development opportunities

• Access to cutting-edge AI research and technologies

• Collaborative and dynamic work environment

• Opportunities for growth and advancement

Company Culture

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.

XML job scraping automation by YubHub

Responsibilities: Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organisations. Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs. Conduct high-impact product demonstrations and respond to RFPs and technical inquiries. Lead client engagement through the entire sales cycle,from initial presentation, technical evaluation, negotiation, to closing and onboarding. Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes. Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit. Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape. Meet or exceed individual and team revenue targets on a monthly and quarterly basis. Maintain accurate records of pipeline and account activity using CRM tools.

Qualifications: 5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients. Proven record of meeting or exceeding annual revenue targets in a high-growth environment. Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers. Proven success outbound prospecting to large enterprise. Exceptional written and verbal communication; comfortable presenting to C-suite executives. Adept at identifying client pain points and mapping solutions that drive business value. Ability to collaborate effectively with both cross-functional teams and technical stakeholders. Experience with CRM systems (e.g. Salesforce). Bachelor’s degree or equivalent experience.

XML job scraping automation by YubHub

This role sits at the intersection of relationship management, strategy, and execution. You'll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience.

In this role, you will:

• Own relationships with a portfolio of advertising partners, serving as their primary point of contact.
• Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI's ads products.
• Analyze campaign performance and provide clear, actionable recommendations to improve outcomes.
• Identify opportunities to expand partnerships through increased product adoption and incremental investment.
• Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value.
• Surface advertiser feedback and insights to inform product improvements and long-term strategy.
• Help build scalable processes and best practices that support the growth of OpenAI's advertising ecosystem.

You might thrive in this role if you:

• Have 3+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role.
• Have experience managing advertiser or agency relationships in a platform, publisher, or adtech environment.
• Are comfortable interpreting performance data and translating insights into strategic recommendations.
• Have experience with data querying (e.g. SQL, advanced excel/GSheet)
• Communicate clearly and build trust with both technical and non-technical stakeholders.
• Operate with ownership and accountability in fast-moving, evolving environments.
• Demonstrate sound judgment and a commitment to user trust and responsible platform growth.

XML job scraping automation by YubHub

$200K – $265K • Offers Equity

Responsibilities

Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements.

Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk management.

Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales.

Advise on AI-specific legal considerations in commercial agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR).

Build and maintain scalable legal infrastructure,contract templates, negotiation playbooks, fallback positions, and tools (e.g., CLM, self-serve workflows),to support high-volume deal flow and reduce friction in the contracting cycle.

Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on data use, enterprise integrations, and customer-specific compliance requirements.

Monitor the evolving regulatory landscape for enterprise AI and SaaS products and translate emerging requirements into practical contractual and policy guidance for internal stakeholders.

Qualifications

JD and in good standing with an active U.S. state bar membership.

At least 5+ years of law firm and/or in-house experience, with a track record of drafting and negotiating complex commercial technology agreements.

Strong business acumen and ability to partner effectively with sales, product, engineering, and executive teams.

Deep familiarity with data privacy and security frameworks (GDPR, CCPA/CPRA, SOC 2, HIPAA) and experience negotiating DPAs and related compliance agreements.

Ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers.

Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization.

Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology and how these products work.

Comfortable working in a fast-paced, dynamic environment.

XML job scraping automation by YubHub

You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. This includes designing, building, and owning the billing platform and monetization systems that power Computer and every paid experience across Perplexity.

Key responsibilities include:

• Leading features end-to-end, from problem definition through technical design, implementation, and launch
• Building and operating the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans
• Hill-climbing on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do
• Partnering closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally
• Building internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly

Requirements include:

• 4+ years of professional software engineering experience
• Direct experience building or scaling billing, payments, subscription, or monetization systems
• Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks
• Strong backend engineering skills in Python with the ability to reason about complex distributed systems
• Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work
• Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions
• Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission
• Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders
• Genuine interest and adoption of AI products and willingness to learn quickly

XML job scraping automation by YubHub

As a Solutions Product Marketer, you will:

• Own vertical GTM as a system, not one-off campaigns
• Map how enterprise buyers in each vertical evaluate, purchase, and deploy AI, personas, decision processes, and competitive alternatives
• Build and run vertical awareness campaigns across paid, organic, and owned channels, including webinars, landing pages, and industry-specific creative
• Arm enterprise sales with battle cards, objection handling, persona-specific talk tracks, and deal-stage content that moves revenue
• Develop opinionated thought leadership positioning Perplexity as the authority on AI adoption in each vertical
• Instrument and measure vertical performance: pipeline sourced, conversion rates, engagement iterating weekly based on data

To succeed in this role, you should have:

• 5+ years of product marketing experience, B2B preferred
• Proven track record building and executing vertical or industry-specific GTM strategies that drove measurable pipeline
• Deep understanding of enterprise buying motions, comfortable with long sales cycles, multi-stakeholder deals, and C-suite messaging
• Exceptional storytelling and writing skills, able to distill complex capabilities into simple, compelling narratives across decks, one-pagers, videos, and ROI models
• Advanced proficiency using AI tools to drive marketing outcomes
• Collaborative, low-ego operator who thrives in fast-paced, small-team environments and owns the full stack of work

XML job scraping automation by YubHub

If you're the kind of marketer who builds their own tools, automates ruthlessly, and treats every campaign as an experiment,this role was written for you.

Responsibilities:

• Own Perplexity's end-to-end demand generation strategy with direct accountability for enterprise top of funnel growth and downstream conversion to revenue.
• Architect and operate a modern demand engine using AI-native tooling,programmatic outbound, AI-personalized sequences, intent-based targeting, and automated workflows,that generates qualified pipeline at scale. We don't buy, we build.
• Design and execute multi-channel campaigns across paid, organic, ABM, events, partnerships, and emerging channels, continuously testing new motions, killing what doesn't work, and doubling down on incremental impact.
• Develop segmentation and targeting strategies for priority enterprise buyer personas, including IT leaders, executives, developers, and AI decision-makers.
• Partner with Product Marketing, Sales, and Revenue Operations to own and continuously improve the marketing-to-sales funnel.

What We're Looking For:

• 5+ years building and scaling multiple growth channels at a fast-paced startup with a proven track record of revenue growth
• Experience and deep interest in building homegrown AI-driven outbound engines, programmatic personalization, and rapid experimentation platforms to scale yourself.
• Analytically rigorous: You are deeply data-driven, comfortable in SQL, attribution measurement, and BI tools like Looker, Omni, Hex, and Tableau. You build your own dashboards, define your own metrics, and make decisions based on evidence, not intuition.
• Thrives in ambiguity: You operate independently with urgency and ownership in fast-paced, early-stage environments where processes are still being defined.

XML job scraping automation by YubHub

You will:

Turn power users into pipeline: own Fellowship end-to-end, from recruitment, programming, through conversion into enterprise deals

Run executive dinners, vertical roundtables, regional roadshows, and customer hackathons that build pipeline and deepen relationships with senior buyers

Build a structured advocacy program that operates like an influencer pipeline: identifying, briefing, and activating power users to create content that drives awareness

Instrument conversion paths from community engagement to enterprise pipeline, tracking ARR influence, deal acceleration, and participant NPS

Represent Perplexity at industry conferences, driving booth engagement and post-event conversion

Qualifications:

4+ years in community marketing, field marketing, event marketing, or demand generation, ideally in B2B SaaS or enterprise technology

Proven track record building and scaling community or fellowship-style programs that drove measurable business outcomes

Strong event planning and execution skills,comfortable managing logistics for intimate exec dinners and larger hackathon-style events

Excellent relationship builder,able to engage senior executives, power users, and cross-functional internal teams with equal ease

Strong written and verbal communication skills,able to craft compelling event narratives, community content, and advocacy frameworks

Willingness to travel frequently for on-site event management and field activations

XML job scraping automation by YubHub

$280K – $345K • 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.

About the team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer you’ll help our customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the role

We’re looking for a Solutions Engineering Manager to lead a team of Solutions Engineers. In this role, you’ll combine technical leadership, customer engagement, and team development to deliver exceptional pre-sales experiences and drive real business impact.

You’ll guide your team through complex customer challenges, help them navigate ambiguity, and ensure solutions are grounded in both strong technical thinking and clear business value. You’ll also partner closely with Sales, Deployment, Product, and Research to create a seamless end-to-end customer journey.

This role is open in our San Francisco or New York office. 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:

• Develop and communicate a clear strategic vision for the Solutions Engineering team, ensuring alignment with the company's overarching goals and the evolving needs of our customers.

• Guide and support a multifaceted team throughout the pre-sales cycle, fostering customer engagement, encouraging adoption, and implementing scalable systems and processes.

• Act as a trusted escalation point for key customers within your sales segment, helping to address complex technical challenges and ensuring clear communication with executive-level stakeholders.

• Advocate for the innovative and effective application of our AI technologies across various sectors, positioning the company as a leader in the industry.

You’ll thrive in this role if you:

• Bring 8+ years of experience in technical customer-facing roles, building and managing C-level technical and business relationships within complex, global organizations.

• Have 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams.

• Have successfully led complex sales involving Generative AI or traditional ML solutions, with a solid understanding of network and cloud architectures.

• Have hands-on experience with programming languages such as Python or JavaScript, and a strong grasp of industry best practices.

• Have a humble attitude, an eagerness to help others, and a willingness to learn whatever it takes to support the team and help customers thrive

• Approach work with humility, a collaborative mindset, and a willingness to learn whatever it takes to support the team and help customers thrive.

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](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

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](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). 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](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

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.

XML job scraping automation by YubHub

Location: San Francisco; New York City

Department: Go To Market

Job Type: Full time

Deadline to Apply

April 26, 2026 at 12:00 AM EDT

Compensation

• $261K – $335K • 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 the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform,while maintaining strong standards for user trust and platform integrity.

About the role

This role is focused on driving new and expanded advertising revenue and ensuring successful business results for advertisers. You will own the full sales cycle , from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform.

You’ll work closely with Account Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy.

In this role you will:

• Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution.

• Own and achieve a defined revenue target within an assigned territory or vertical.

• Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth.

• Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback.

• Structure and negotiate complex commercial agreements.

• Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives.

• Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals.

• Partner with Account Managers to ensure seamless post-sale transitions and coordinated expansion strategies.

• Maintain rigorous pipeline management and accurate revenue forecasting.

You might thrive in this role if you:

• Has 10+ years of experience in performance marketing, digital marketing, or client-facing strategy and consulting roles.

• Has 3+ years of experience as proven advisor influencing executives and clients.

• Has experience owning revenue targets and closing complex deals.

• Can build structured business cases and influencing senior stakeholders (internally and externally).

• Has strong verbal and written communication skills.

• Can operate in ambiguous, fast-changing environments.

• Understands the client’s business and priorities to define success metrics and align on partnership goals.

• Translates.

XML job scraping automation by YubHub

Location

San Francisco; New York City

Employment Type

Full time

Department

Scaling

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.

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 Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world.

We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.

At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products.

About the Role

As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide.

Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run.

Responsibilities

• Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes.

• Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production.

• Use Terraform to stand up and evolve complex infrastructure for both research and production.

• Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications.

Requirements

• Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.

• Know how to build new things from 0-1 quickly, and then scale them 1,000,000x.

• Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.

• Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.

• Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities.

• Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance.

What We Offer

• Competitive salary and equity package

• Opportunity to work on cutting-edge AI infrastructure

• Collaborative and dynamic team environment

• Flexible work arrangements

• Professional development opportunities

• Access to the latest technology and tools

How to Apply

If you are a motivated and experienced software engineer looking to join a dynamic team and work on cutting-edge AI infrastructure, please submit your application. We look forward to hearing from you!

XML job scraping automation by YubHub

Software Engineer, Compute - Storage

Location

San Francisco; New York City

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

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 Team

Storage Infrastructure provides APIs for data access, placement, and lifecycle management, while ensuring that the storage systems’ capacity, throughput, and IOPs satisfy the needs of our AI researchers. Scalability, reliability, security, and usability are the core concerns of the team.

About the Role

As an engineer on the Storage Infrastructure team, you will design, build, and operate Exascale systems to scalably and reliably manage our research data across multiple regions.

We’re looking for distributed systems engineers who have worked on exascale data management systems or distributed filesystems.

In this role, you will:

• Develop software to manage exascale data, and make it accessible to researchers

• Drive the reliability, predictability, and cost effectiveness of our storage systems

• Interface with researchers to understand and accommodate data use-cases

• Ensure the security of our critical datasets

You might thrive in this role if you:

• Have a deep understanding of distributed systems principles and a proven track record in designing and building scalable, reliable, and secure storage solutions.

• Possess strong programming skills

• Have experience working in public clouds (especially Azure)

• Are familiar with AI/ML data access patterns

• Bias for action and comfort building in a fast paced, dynamic environment

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