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Salary: USD 185,000 - 250,000 / annual
Kamiwaza is an enterprise AI orchestration platform deployed on-premises or in customer clouds 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 critical.
This is a hands-on individual contributor role focused on product strategy, discovery, prioritization, and cross-functional alignment. You will own product strategy, discovery, and release discipline for the 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 include:
- Own and evolve the product vision, defining strategy that connects customer problems to business outcomes (revenue, retention, expansion, risk reduction, time-to-value).
- Translate strategy into outcome-based roadmaps and priorities, not feature lists. Establish product principles and decision filters to maintain focus.
- Spend significant time with customers and prospects through interviews, workflow observation, and feedback loops. Build strong relationships with commercial users and the Federal team.
- Identify, size, and prioritize problems using qualitative and quantitative evidence. Run discovery practices such as prototypes, usability tests, concierge validation, and solution testing.
- Work as a true partner to engineering leadership, co-owning outcomes. Frame problems at the right altitude for an AI-native engineering team.
- Lead problem framing, discovery readouts, solution discussions, and launch readiness conversations.
- Use lightweight prototypes, workflow sketches, and AI-assisted mockups to test ideas and accelerate discovery.
- Translate Federal-adjacent needs—security, auditability, permissions, deployment models, procurement—into product priorities.
- Own the release-planning rhythm, ensuring each release is a coherent bundle of customer value.
- Own the dogfooding program so pre-release builds are used in realistic ways by internal teams.
- Partner with Sales, Marketing, and Partnerships by providing product truth, customer problem definitions, target use cases, and roadmap context.
- Use AI tools and agents as a force multiplier across research synthesis, note capture, feedback analysis, competitive scanning, and prototyping.
First 180 days mandate: Days 0–60 focus on mastering the platform, building relationships with engineering/sales/Fed team, and establishing a repeatable discovery cadence. Days 61–120 deliver a clear product vision and strategy, establish a healthy operating rhythm, and lead at least one full discovery cycle. Days 121–180 demonstrate measurable improvements in customer outcomes and establish release-planning discipline.
Expected behaviors: Start with the problem and treat solutions as hypotheses. Seek truth over harmony using evidence. Optimize for outcomes rather than output. Partner deeply rather than relying on handoffs. Say no with clarity when focus requires it. Communicate relentlessly through crisp writing and clear decisions. Use AI as leverage, not as a substitute for judgment or customer contact.
What this role is NOT: Not a ticket scribe, feature-factory operator, project manager focused on status tracking, or approval bottleneck for engineering.
REQUIREMENTS:
- 8+ years in product management or product leadership, including strong hands-on individual contributor experience.
- Proven experience building B2B technical products (platform, infrastructure, developer, data, AI, security, or workflow-heavy products).
- Strong track record of continuous discovery and shipping products that improved measurable customer and business outcomes.
- Experience as an early or first product hire at a growth-stage company is a strong plus.
- Technical fluency across: infrastructure and deployment, inference and model management, data systems and knowledge representation, security and authorization, agentic AI and orchestration, platform extensibility and APIs.
- Comfort operating in ambiguity, speed, and imperfect information.
- Ability to engage directly with customers through interviews, demos, workflow mapping, and priority negotiation.
- Strong written and verbal communication.
- Demonstrated ability to partner deeply with engineering and make sound tradeoff decisions.
- Strong product sense, including ability to use lightweight prototypes or workflow artifacts to accelerate learning.
- Demonstrated ability to use AI tooling productively and responsibly in research, synthesis, communication, analysis, and prototyping.
PREFERRED QUALIFICATIONS:
- Experience with Federal-adjacent requirements and regulated environments.
- Experience supporting enterprise sales motions, POVs, pilots, enablement, and roadmap communication.
- Familiarity with product analytics, experimentation, and SQL.
- Background in on-prem, installed, or self-hosted B2B software.
- Prior work on developer platforms, infrastructure software, or extensible platforms.
- Experience running beta, early-access, or dogfooding programs.
