The Enterprise Account Manager will partner with enterprise customers, driving product decisions and defining enterprise features while collaborating with internal teams.
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
About the role:We're looking for an experienced Enterprise Product Manager to lead our enterprise product efforts. You'll work closely with large customers, shape pricing and packaging, and help define features that support organization-level use cases.
Responsibilities- Partner directly with enterprise customers to understand needs and gather feedback
- Drive product decisions around pricing, packaging, and enterprise features
- Define and prioritize org-level capabilities (security, access control, usage, billing, integrations)
- Collaborate with engineering, sales, and leadership to deliver enterprise-ready solutions
- Support enterprise sales cycles with product expertise
- 5+ years of product management experience, including enterprise products
- Strong customer-facing experience with large organizations
- Experience with enterprise pricing models and buying processes
- Ability to turn customer input into clear, product direction
- Interesting and challenging work
- Competitive salary and equity
- A lot of learning and growth opportunities
- We offer visa sponsorship and will help you relocate to San Francisco.
- Fully covered health, dental, and vision insurance (US)
- Regular team events and offsite
- $200,000 - $250,000 + equity + comprehensive benefits package
- We are currently hiring in downtown San Francisco.
Similar Jobs
Fintech • Financial Services
Leads enterprise adoption and go-to-market strategy for AI and machine learning platforms. Coordinates product, engineering, and business stakeholders through platform releases, onboarding, training, documentation, governance, and support. Advises senior leaders, evaluates technical readiness, shapes roadmaps, resolves complex implementation challenges, and develops AI opportunity pipelines. The role translates technical capabilities into business outcomes through executive communications, adoption dashboards, risk metrics, and customer-centric enablement across cloud and on-premises environments.
Top Skills:
AdkAPIsArtificial IntelligenceAzureAzure OpenaiBigQueryCi/CdDiffusion ModelsDockerFeature StoresGCPGenerative AiHugging FaceIbm Cloud Pak For DataKubernetesLangchainLanggraphLlmopsLlmsMachine LearningMlopsOpenshiftRagSdksTool-Based AgentsVector DatabasesVertex Ai
Artificial Intelligence • Software • Generative AI
Own enterprise product strategy and execution across collaboration tools, admin controls, security, billing, and generative AI creative features. Partner with sales to translate enterprise needs into requirements, align product, engineering, design, and leadership around the roadmap, and coordinate across teams for a cohesive experience. Conduct direct customer discovery, manage ambiguity, and deliver complex multi-stakeholder products for advertisers, filmmakers, studios, and production companies.
Top Skills:
Admin ToolingAi Productivity ToolsAudit LogsBilling SystemsEnterprise SaasGenerative AiSecurity And Compliance Systems
Cloud • Fintech • HR Tech
Own Workday’s Customer Zero AI product strategy by identifying internal enterprise problems, designing and delivering AI-powered solutions, translating business needs into product requirements, and partnering with engineering, UX, and stakeholders. Define success metrics, evaluate adoption and business impact, align executives on roadmaps and trade-offs, and turn internal implementation lessons into customer-facing best practices. The role requires extensive product management experience, AI/ML product expertise, technical LLM knowledge, and end-to-end delivery leadership.
Top Skills:
Ai Product InfrastructureAi/MlGenerative AiLlmsWorkday
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
