Product Manager - Enterprise (AI)

Location: Hybrid in San Mateo or New York, United States

Salary: $200K–$300K plus equity

Company

Fireworks AI provides a platform for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads. The company is a Series D enterprise AI company founded by the team behind PyTorch.

What you will do

• Own and ship the enterprise product surface, including Fireworks Sovereign deployments, identity management, usage visibility, and governance.
• Define the roadmap and drive product development with engineering from specification through launch.
• Develop capabilities for on-premises, VPC, and in-region deployments, including SSO, SAML/OIDC, SCIM, RBAC, metering, cost attribution, chargeback, audit logs, policy controls, data residency, and compliance.
• Partner with engineering, marketing, security, sales, and field engineering on adoption, sales enablement, and product positioning.
• Work directly with AI startups and large enterprises to identify valuable use cases, design tailored solutions, and create proofs of concept.
• Advise customers on AI strategy and own shipped capabilities or strategic projects from start to finish.

Requirements

• Technical degree in Computer Science, Electrical Engineering, or a similar field.
• 5+ years of product management experience, including shipping products or features for enterprise customers.
• Previous customer-facing experience working directly with external customers and clients.
• Strong practical fluency with LLM inference, fine-tuning, evaluations, and agents, including their relationship to latency, quality, and cost in production.
• Ability to communicate credibly with customer engineers, executives, and administrative teams.
• Outcome-oriented approach, comfort with ambiguity, and ability to switch context quickly.
• High motivation and willingness to step up during intensive “wartime” periods; this is not a 9-to-5 role.

Nice to have

• Experience with enterprise platform needs such as identity and access management, multi-tenancy, audit and governance, usage metering and billing, or self-hosted and air-gapped deployments.
• Familiarity with enterprise compliance and security frameworks and their influence on product decisions.
• Experience in forward-deployed, solutions engineering, or customer-embedded technical roles.
• Hands-on experience building on an LLM API or training or fine-tuning a model.
• Early-stage startup or founding experience.

Culture & Benefits

• Work on low-latency inference, scalable model serving, and other advanced AI infrastructure challenges.
• Build technology used by businesses and developers to apply AI.
• Operate in a fast-growing environment with significant ownership, direct impact, and minimal bureaucracy.
• Collaborate with engineers and AI researchers focused on curiosity and innovation.
• Compensation includes a $200K–$300K salary range and equity.