Job Opportunities API

PRINCIPAL PRODUCT MANAGER/HEAD OF PRODUCT ROLE OVERVIEW Kamiwaza is an enterprise AI orchestration platform that organizations deploy on-premises or in their own cloud to run inference, connect distributed data sources, build knowledge graphs, and orchestrate multi-agent AI workflows. The platform is Kubernetes-based, silicon-agnostic, and built for environments where security and data sovereignty are non-negotiable. Kamiwaza needs a dedicated product leader who can translate customer problems into clear priorities, validated solutions, and coherent releases without becoming a feature-request router. This is a hands-on individual contributor role focused on product strategy, discovery, prioritization, and cross-functional alignment. You will partner deeply with engineering, design, product marketing, and go-to-market, and you will use AI tooling aggressively to increase throughput and decision quality. The Unique Challenge: Fast Internal Build Cycles, Deliberate Customer Releases Kamiwaza’s engineering team is moving toward highly AI-assisted development, which compresses internal cycle times. But Kamiwaza ships an on-prem product with slower, more deliberate customer-facing release cycles. This role lives in that tension. Engineering may be able to build quickly, but each release still needs to be worth the customer’s effort to upgrade. You will help ensure that fast internal development turns into coherent, valuable, low-regret releases. Core Mission Own product strategy, discovery, and release discipline for Kamiwaza’s enterprise AI orchestration platform — translating real customer problems into a coherent, outcome-driven roadmap that engineering, sales, marketing, and federal stakeholders can rally around. KEY RESPONSIBILITIES - Own and evolve the product vision: where the product is going and why. - Define and maintain a strategy that connects customer problems to business outcomes — revenue, retention, expansion, risk reduction, and time-to-value. - Translate strategy into outcome-based roadmaps and priorities, not feature lists. - Establish product principles and decision filters to maintain focus in a dynamic environment. - Drive roadmap clarity across engineering, sales, marketing, support, and leadership. - Actively identify and communicate what not to build — maintain a clear view of market antipatterns and short-lived trends. - Spend significant time with customers and prospects through interviews, workflow observation, and feedback loops. - Build strong working relationships with commercial users and the Fed Team to understand workflows, constraints, and high-value use cases. - Identify, size, and prioritize problems worth solving using qualitative and quantitative evidence. - Run discovery practices such as prototypes, usability tests, concierge validation, and solution testing before committing major engineering effort. - Maintain a living, ranked problem backlog and defend priorities with evidence. - Work as a true partner to engineering leadership, co-owning outcomes rather than handing off requirements. - Create clarity on the problem, the customer, and the desired outcome — while engineering owns implementation details and technical design. - Frame problems at the right altitude for an AI-native engineering team: specific enough to guide action, not so prescriptive that it blocks better solutions. - Lead problem framing, discovery readouts, solution discussions, and launch readiness conversations. - Be accountable for product clarity, user usefulness, and experience quality — without acting as the sole designer of record. - Use lightweight prototypes, workflow sketches, and AI-assisted mockups to test ideas, accelerate discovery, and communicate intent. - Partner with engineering and design support to refine workflows, edge cases, error handling, and interaction patterns. - Build trusted relationships with commercial customers and the Fed