Principal Product Manager AI

Govini•Pittsburgh, PA

13h•Onsite

About The Position

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.

Requirements

5+ years of product management experience with at least 3 years focused on AI/ML products or data-driven solutions
Experience with ML development lifecycle, including data preparation, model training, validation, deployment, and monitoring
Proven track record of successfully launching AI/ML products or features in production environments
Strong value orientation, understanding of what matters for our customers, and why
Self-starter, owner mentality
Ability to thrive in a fast-paced, dynamic work environment
Exceptional written and oral communication skills across all levels of the business
Bachelor’s degree in business or technology-related field
U.S. Citizenship is required

Nice To Haves

Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
Experience in or exposure to the nuances of a startup or other entrepreneurial environment
Experience in or around the DoW
Full product lifecycle experience, from early idea through production and maintenance
Familiarity with the value proposition canvas and/or business model canvas frameworks
Advanced degree in a business or technical field

Responsibilities

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 customer accounts
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.