Lead Product Manager – AI Platform

Tricentis • Austin, TX

1d

About The Position

Are you a technical product manager who can connect the dots between how AI works, how it gets used, and how it creates sustainable business value? Tricentis is the industry's #1 Continuous Testing platform, and AI is central to our next phase of growth. We are looking for a Lead Product Manager – AI Platform to own the shared platform layer that powers all AI experiences across the Tricentis portfolio — including our AI Chat product, usage telemetry, and the commercialization model that turns AI capabilities into measurable business outcomes. This role sits at the intersection of product, engineering, and go-to-market. You will ensure that the AI we build is instrumented, packaged, and positioned to win.

Requirements

• 5–8+ years of Product Management experience , with at least 2+ years in Technical Product Management or AI/Data products.
• AI/ML Fluency: Demonstrated experience shipping AI-powered products, with an understanding of how LLMs and AI systems behave in production.
• Commercial Acumen: Experience working on pricing, packaging, or monetization strategy for a software product — ideally in a consumption or usage-based model.
• Data-Driven Mindset: Strong ability to define KPIs, interpret usage data, and make product decisions grounded in telemetry rather than intuition alone.
• Enterprise Experience: Experience working in complex enterprise software environments where security, scalability, and cross-functional alignment are critical.

Nice To Haves

• Platform Product Experience: Prior experience owning a shared platform or infrastructure product that serves multiple internal or external product teams.
• AI Commercialization: Direct experience designing and evolving AI credit, token, or consumption-based pricing models.
• Developer or QA Tooling: Experience building products for developers or QA engineers with an understanding of the SDLC.
• Global Collaboration: Experience working with distributed teams across time zones.
• Hands-on Tech: Previous experience as a developer or data scientist is a strong plus.

Responsibilities

• AI Credits & Entitlement Strategy: Own the design and evolution of our AI credits system — defining metering logic, entitlement tiers, and packaging constructs that scale across customer segments, product lines, and partner programs.
• Telemetry & Usage Analytics: Define the instrumentation strategy for AI features across the portfolio. You will own the metrics framework that tracks feature adoption, retention, usage concentration, and drop-off — and use those signals to drive product decisions.
• AI Chat Product Ownership: Own the AI Chat experience end-to-end — from conversation design and context management to integration with underlying AI capabilities and platform APIs.
• Platform API & Integration Standards: Define the platform contracts and integration patterns that allow individual product teams to build on top of shared AI infrastructure consistently and efficiently.
• Go-to-Market Alignment: Work closely with product marketing, sales, and customer success to ensure AI capabilities are clearly positioned, properly enablement-ready, and landing value with customers.
• Responsible AI at Scale: Champion privacy, auditability, and compliance requirements across the platform layer — ensuring enterprise customers can trust and govern how AI is used within their environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed