AI Product Manager

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Remote, US

The AI Product Manager turns banker needs into product — translating real community-banking workflows into the semantic and metric model, owning the accuracy standard that gates every release, and running design-partner relationships. Working under the VP of Product Management and in close collaboration with engineering, design, advisory, and client success teams, this role keeps Navanta’s AI products anchored to what bankers actually need and to a provable standard of accuracy — driving real-workflow products, design partners that convert into paying customers, and sustainable growth across Navanta’s AI solution set.

Run discovery with design-partner banks and translate real workflows into the semantic and metric model and the product roadmap

Define and maintain the golden-question set — the verified questions and answers that gate every release

Prioritize early delivery, managing trade-offs between speed, accuracy, and security in an on-premises, regulated-institution context

Own the AI product narrative for bankers and for procurement and security stakeholders

Partner with design and engineering and facilitate cross-functional teams on a banker-friendly experience, scope and sequencing, and product enablement, including piloting with clients

Manage the product lifecycle for AI-enabled banking solutions — systems integration, analytics, roadmap planning, and product collateral and positioning for new and existing products

Research market trends and conduct competitive analysis to inform product positioning, objectives, and roadmap priorities

Partner with vendors and third-party strategic partners to support new and existing product initiatives

Define success metrics and instrument product adoption

Semantic and metric modeling, with data-informed decision-making

Defining acceptance criteria and evaluation requirements for AI accuracy

Executive communication and stakeholder management across bankers, procurement, and security

Results orientation and accountability for product outcomes

Golden-question accuracy maintained or improved release over release

Product adoption and active usage across design-partner and production banks

On-time delivery against roadmap milestones and release gates

Design-partner satisfaction and reference-ability

Conversion of design partners into paying customers

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

7–12+ years in product management, including enterprise or B2B software shipped to demanding customers in regulated industries

Experience with data or analytics products (metrics, semantic modeling), and ideally AI/ML features

Demonstrated success with design-partner and early-customer motions and security-gated enterprise sales cycles

Strong written communication and stakeholder management

Domain: deposits and banking metrics (or a fast, credible ramp); SQL literacy a plus

Practices: customer discovery, semantic and metric modeling, and acceptance criteria for AI accuracy

Tools: modern product-analytics and collaboration tooling

Background as (or close to) a banker, or prior fintech or community-banking product work

Experience specifying evaluation requirements for AI systems

Bachelor’s degree in business administration, marketing, or communication, or 3 to 5 years of equivalent experience in a…