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.
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 Leadership
Senior product leaders at AI infrastructure and developer platform companies direct cross-functional teams while owning the most complex, highest-stakes product surfaces—from marketplace ecosystems and platform foundations to AI-native applications and enterprise trust systems. They split time between strategic leadership (setting vision, managing teams, establishing operating cadences) and hands-on execution on ambiguous problems that require deep customer understanding and technical judgment. These roles sit at the intersection of multiple product areas, requiring influence across engineering, design, sales, and executive leadership to translate emerging AI workload patterns and customer needs into coherent, scalable platform strategies that enable the company's broader mission.
Product Operations Manager
This role acts as the operational backbone of product teams building AI-powered platforms, translating strategic decisions into executable plans while maintaining visibility across launches, dependencies, and customer feedback. Product Operations Managers serve as the connective tissue between product, engineering, and customer-facing teams—triaging signals from support and field teams, coordinating releases and early access programs, and building lightweight systems that help teams ship reliably at scale. They distinguish themselves from project managers by owning the entire ecosystem of how products are built and learned from, not just timelines, and from product managers by focusing on the operational infrastructure rather than strategy itself. These roles typically sit within or closely alongside product leadership in fast-growing AI companies, partnering across research, engineering, GTM, and customer success to ensure that customer insights drive product decisions and that scaling doesn't sacrifice shipping velocity or quality.
Product Strategy
Product Strategy roles at AI companies sit upstream of day-to-day product management, focused on longer-horizon questions: what markets to enter, how to segment customers and price the product, what the competitive position should be, and which new product opportunities are worth pursuing. The day-to-day spans market and competitive research, customer segmentation work, GTM strategy and launch planning, and the analytical work behind pricing, packaging, and positioning decisions. Some companies use this title for senior product leaders responsible for strategic roadmap; others use it for cross-functional strategists who partner with product management on market-level questions rather than owning specific products. These roles typically sit within product, strategy, or GTM functions, partnering with product management, marketing, sales, and finance on the decisions that shape the company's medium-term direction.
Recent Jobs
The latest Product openings across the AI industry.