Senior Technical Product Manager

About the Role

We are seeking an exceptionally motivated and highly technical Technical Product Manager (TPM) to own the transformation of a critical suite of legacy SaaS products. These foundational systems, built over 20+ years, are currently brittle and require significant operational effort.

This is a high-impact role with a dual mandate: stabilize the legacy core while strategically defining and executing a shift towards an engineering-driven, automated, and AI/LLM-powered future. You will be the primary catalyst for reducing manual operational intervention and unlocking next-generation efficiency for our Operations teams and large enterprise clients.

Key Responsibilities

1. Legacy Discovery, Stabilization, and Deep Dive

• Technical Immersion: Conduct technical deep dives into the existing architecture and current operational workflows.

• Root Cause Analysis: Partner closely with engineering to rapidly address high-impact technical debt and drive resolution for production issues (Sev1s), focused on improving core system stability.

• Stakeholder Empathy: Engage with Operations and Clients to map current manual processes, identifying the top opportunities for high-leverage automation.

2. Automation, AI Strategy, and Modernization

• Operational Transformation: Define a comprehensive strategy to move the product suite toward an engineering-driven operations model, drastically reducing the need for manual Ops intervention.

• AI/LLM Product Definition: Identify, prototype, and build features that leverage Large Language Models (LLMs) and AI/ML to automate complex operational tasks, data validation, report generation, and intelligent self-healing capabilities.

• Strategic Roadmap: Develop the product vision for the future state, outlining the phased transition from legacy systems to a modern, scalable, and highly automated SaaS platform.

3. Execution and Engineering Partnership

• Engineering-Consumable PRDs: Create detailed Product Requirements Documents (PRDs) and user stories that include clear technical acceptance criteria for both core feature development and complex automation initiatives.

• Data Strategy: Work with data teams to define the necessary data pipelines and structures to support future AI/ML models and enhanced operational analytics.

• Agile Leadership: Serve as the hands-on Product Owner, driving sprint planning, backlog prioritization, and feature acceptance, ensuring the team is focused on both stability and strategic modernization.