Senior Product Manager AI

About the Company

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.

We are seeking a customer-obsessed product manager to drive the development and integration of AI/ML capabilities within Ark. This is an individual contributor role responsible for defining, prioritizing, and delivering AI/ML solutions that enhance our Applications and transform how current and future users make critical decisions.

As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value to our customers, translating complex technical capabilities into user-friendly solutions, and ensuring the successful integration of our models and algorithms into Ark. You will need to think strategically about how to position Govini as a leader in Defense AI, identify competitive advantages and market opportunities through AI/ML capabilities, and drive strategic decisions about how AI/ML innovations differentiate Govini in the marketplace.

You will partner with data scientists, ML engineers, application-aligned PMs, and our engagement teams to identify high-impact use cases, define requirements for ML-powered features, and ensure seamless delivery of intelligent capabilities that scale across our customer base. In this role, you will bridge the gap between cutting-edge AI/ML research and practical defense acquisition applications.

In order to do this job well, you must possess a moderate technical understanding of AI/ML methodologies and emerging technology combined with exceptional product judgment to identify opportunities where AI/ML can deliver measurable customer value. You must work effectively cross-functionally in often ambiguous circumstances, translating complex technical capabilities into clear product requirements and articulating the value of AI/ML solutions both internally and externally to non-technical stakeholders.

• Spend time on site with users, seeking to understand their pain points and triangulate the commonalities where AI/ML can automate manual processes, enhance decision-making, or provide predictive insights
• Write detailed product requirements documents (PRDs) and user stories for AI/ML features
• Collaborate with data science and AI/ML engineering teams to assess the feasibility of proposed solutions
• Partner with designers and Application PMs to integrate AI/ML capabilities seamlessly into existing Ark workflows, ensuring models enhance rather than disrupt user experiences
• Work with the sales team to articulate the value proposition of AI/ML features to prospective customers and understand market demand for intelligent automation
• Define success metrics for AI/ML initiatives

• Define and communicate the AI/ML product strategy and roadmap aligned with Govini's positioning, mission, and customer needs
• Identify and prioritize high-impact opportunities where AI/ML can transform user workflows
• Validate concepts using the value proposition canvas/business model canvas, build a comprehensive business case, and communicate and defend the prioritization internally
• Conduct market research and competitive analysis to inform AI/ML product positioning
• Partner with data science, AI/ML, and software engineering teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on
• Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed
• Ensure smooth integration of prototyped features/functions into Ark for utilization across…