Product
Defining what gets built, product strategy, and product operations. Covers product management, product strategy, product operations, product analysis, and UX research when focused on informing product decisions rather than design execution. The people who own the roadmap and decide what the team builds next. Does NOT include product design (Design & Creative) or product marketing (Marketing).
Roles
The canonical roles within Product.
Product Manager
Product Managers at AI companies own the vision and execution for how AI capabilities integrate into customer workflows and enterprise systems. Their days involve navigating complex architectural decisions—balancing build versus buy choices across APIs and third-party platforms, managing enterprise security and compliance requirements, and translating AI workload demands into scalable product capabilities. They distinguish themselves from traditional PMs by working at the intersection of infrastructure, AI model capabilities, and business strategy, often tackling novel problems like agentic workflows, data access patterns, and reliability at scale. These roles typically sit within cross-functional teams that span engineering, infrastructure, design, and go-to-market, operating with high autonomy in fast-moving, technically demanding environments where product decisions directly impact how customers leverage AI systems.
AI Product Manager
This role focuses on defining and executing product strategy for AI-powered capabilities, translating complex model behaviors and technical constraints into user-centric features that drive adoption. Unlike general product managers, AI Product Managers work intimately with ML engineers and data scientists to shape model selection, evaluation frameworks, and safety guardrails alongside UX decisions. They operate in startups and scaleups building AI agents, LLM-based platforms, and autonomous systems, where they balance breakthrough capabilities with practical deployment challenges, customer safety, and measurable business impact.
Technical Product Manager
Technical Product Managers at AI companies translate complex infrastructure capabilities into seamless developer experiences, owning the full lifecycle of APIs, SDKs, platforms, and developer tooling that enable teams to build and deploy AI systems. They differ from traditional PMs by combining deep technical fluency—understanding API design, system architecture, and infrastructure tradeoffs—with the ability to advocate for developer needs and simplify technical complexity into intuitive products. These roles typically sit within platform or developer experience organizations, partnering closely with engineering, design, and research teams to ship foundational capabilities that scale, while maintaining direct customer engagement to validate priorities and uncover unmet needs.
Product Leadership
Senior product leaders at AI companies guide the vision and execution of complex product ecosystems spanning AI capabilities, infrastructure, and user experiences. They own multi-year roadmaps across foundational systems—from orchestration platforms and knowledge graphs to creative AI engines and security frameworks—translating ambiguous technical and business challenges into aligned, high-impact strategies. These leaders operate at the intersection of deep technical fluency and business acumen, partnering with engineering, design, go-to-market, and executive teams to define long-term direction while driving quarter-to-quarter execution. Their impact extends beyond individual products to shaping organizational strategy, mentoring product teams, and cultivating customer feedback loops that inform where the company invests next.
Product Strategy
This role leads strategic partnerships that unlock enterprise value by translating video AI capabilities into co-created solutions with ecosystem partners. Unlike traditional product managers focused on a single platform, partnership leads operate across organizational boundaries, structuring complex multi-year collaborations and influencing product roadmaps through deep partner insights. They thrive in GTM-aligned organizations where partnerships serve as a growth lever, combining relationship leadership with product strategy to identify new vectors of enterprise value and translate partner needs into clear product requirements.
Forward Deployed Product Manager
This person spends most of their time embedded with customers—from early-stage startups to enterprises—translating technical requirements into tailored AI solutions and proof-of-concepts that drive adoption and expansion. They act as both a technical advisor and product voice, leading onboarding workflows, managing complex deployments, and channeling customer insights back to engineering teams to shape roadmap priorities. What sets this role apart is the direct accountability for customer success outcomes: they own the full lifecycle from discovery and solution design through implementation and strategic account growth, wearing the hats of product manager, technical strategist, and trusted advisor simultaneously. These positions typically sit within go-to-market or customer-facing teams at AI infrastructure, agentic AI, and enterprise software companies, working closely alongside sales, solutions engineering, and product development to ensure customers realize measurable business value from complex AI deployments.
Product Operations Manager
This role acts as the operational backbone of product teams at AI companies, managing launch cadences, cross-functional alignment, and feedback synthesis to ensure products move from conception to market smoothly. Product Operations Managers own the systems, rituals, and processes that keep product, engineering, and go-to-market teams synchronized—from launch readiness checkpoints and beta program coordination to roadmap accuracy and customer insight capture. They distinguish themselves through hands-on process design and automation, building internal tools and workflows that scale operations beyond what manual coordination alone could achieve. These managers typically sit within or adjacent to product organizations at high-growth AI companies, partnering closely with product managers, engineers, sales, support, and sometimes safety or research teams to translate operational signals into strategic clarity.
Recent Jobs
The latest Product openings across the AI industry.