These partnerships drive three core outcomes:

• Deep product integrations that make ElevenLabs a native part of partner workflows
• Distribution through partner ecosystems (marketplaces, developer platforms)
• Revenue growth via partner-sourced, partner-influenced, and product-led usage

This role sits at the intersection of product, engineering, and revenue, with a strong focus on building scalable, product-driven ecosystems.

Key Responsibilities

• Build and scale ElevenLabs' product partnership ecosystem across enterprise platforms (CRM, CcaaS, etc) and creative tools (music, DAWs, creator platforms), embedding our voice AI directly into partner workflows to drive distribution, usage, and revenue
• Drive product-led integrations (SDKs) that embed ElevenLabs into partner platforms
• Own revenue outcomes: partner-sourced pipeline, co-sell, and consumption growth
• Build partnerships across enterprise (CRM, CCaaS) and creative ecosystems (DAWs, music)
• Define and execute repeatable GTM motions with partners (not one-off deals)

Ecosystem Coverage

• Enterprise Platforms: CRM, Telephony, Contact Center, Support, Workflow tools
• Creative Platforms: DAWs, music production
• Developer Platforms: APIs, marketplaces, SDK-driven ecosystems

What You Will Do

• Build and scale product partnerships that embed ElevenLabs natively into enterprise and creative platforms, driving distribution, usage, and revenue
• Drive product-led integrations by working closely with Product and Engineering to define APIs, SDKs, and native experiences within partner platforms
• Own joint GTM and revenue outcomes, including partner-sourced pipeline, co-sell motions, and product-driven consumption growth
• Develop ecosystem strategies across both enterprise and creative platforms, including CRM, contact center, and emerging creative ecosystems such as music and DAWs
• Identify and build strategic partnerships in the creative space (e.g., music platforms, DAWs) that unlock new distribution channels and use cases for ElevenLabs
• Design repeatable solutions and integrations that can scale across customers and partners, not just one-off deals
• Enable partner and internal sales teams with clear solution narratives, use cases, and deployment architectures tied to real business outcomes
• Drive developer and platform adoption, including marketplace listings, SDK adoption, and integration patterns that increase usage at scale
• Act as the voice of the ecosystem to Product, influencing roadmap based on partner and market needs

What You Bring

• 8+ years of experience in technology partnerships, platform partnerships, or ecosystem roles within SaaS, cloud, Payments, AI, or developer-platform companies
• Proven ability to translate technical integrations into commercial outcomes, including partner-sourced pipeline, co-sell revenue, or marketplace distribution
• Strong understanding of API-driven products, integrations, and developer ecosystems, with the ability to work effectively with engineering and product teams
• Experience building joint GTM strategies with enterprise technology partners, including co-selling, partner enablement, and integrated solution development
• Experience building product-led partnerships, including integrations, APIs/SDKs, or embedding capabilities into third-party platforms
• Experience working with or strong interest in creative ecosystems (DAWs) is a strong plus
• Demonstrated success operating cross-functionally across Sales, Marketing, Product, and Engineering to operationalize complex partnerships
• Strong commercial instincts and experience owning or influencing revenue targets tied to partnerships
• Ability to operate with high autonomy and ownership in fast-growing environments, balancing strategic thinking with hands-on execution
• Passion for AI technologies and the role of AI agents in transforming enterprise workflows and customer engagement

Who Thrives at ElevenLabs

• Builder mindset with strong ownership
• Passion for AI and emerging technologies
• Comfort operating in fast-moving environments
• Desire to build new ecosystems from scratch

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Location

San Francisco; New York City

Employment Type

Full time

Location Type

On-site

Department

Data Science

Compensation

• $293K – $515K • 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

Our B2B product organisation is building the systems that will accelerate and automate how companies operate using AI coworkers. Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.

About the Role

We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.

This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.

You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.

In this role, you will:

• Partner closely with product, engineering, and research teams to shape AI-powered enterprise products

• Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption

• Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact

• Drive insights around enterprise adoption, retention, and value realisation

• Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools

• Design experiments and evaluations that improve AI system performance and user outcomes

• Help define how companies operate with AI coworkers and automated workflows

What We’re Looking For

Must Have:

• Strong product analytics or data science experience

• Deep curiosity about AI systems and how they change how work gets done

• Ability to work closely with product and engineering teams in 0→1 product environments

• Strong analytical skills (experimentation, behavioural analysis, product metrics)

• Builder mindset — someone who wants to shape products, not just analyse them

Nice to Have:

• Experience with B2B SaaS or enterprise analytics

• Experience with developer platforms, APIs, or technical products

• Background in AI/ML systems, agent frameworks, or LLM-based products

• Systems thinking around how complex tools and workflows operate at scale

Who Thrives Here:

• AI-native — actively experimenting with and building with AI tools

• Product thinkers who want to shape the future of work

• Builders who enjoy early-stage ambiguity and 0→1 problems

• Operators who can work independently and drive large parts of a product area

Impact

You will help define:

• How organisations deploy and manage AI agents

• How AI transforms enterprise productivity

• The measurement systems behind AI-native companies

• This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.

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.

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