Senior Product Manager

Convergenz; United States; A distancia; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Convergenz seeks a hands-on Senior Product Manager to lead a federal healthcare AI initiative, delivering practical, high-impact solutions. This role blends product management, ownership, and Agile delivery, partnering with engineering to turn AI capabilities into reliable, user-focused products.

The ideal candidate has 10+ years in product management, deep experience with generative AI, LLMs, AI agents, and a proven ability to manage backlogs, run Scrum ceremonies, and use data to improve

Formación

• Minimum 10+ years of product management or ownership.
• Hands-on delivery with generative AI, LLMs, or AI/ML tech.
• Strong Agile/Scrum experience; manage backlogs and ceremonies.
• Solid SQL skills for data-driven decisions.
• Experience with software engineering teams and product metrics.

Responsabilidades

• Translate priorities into actionable user stories and backlogs.
• Lead Agile ceremonies and sprint planning with stakeholders.
• Collaborate with engineers on AI/LLM powered products including RAG and agents.
• Evaluate LLM performance and troubleshoot prompts, models, and tools.
• Use dashboards, SQL, and logs to measure adoption, quality, and performance.
• Track velocity, defects, and release readiness to improve delivery.

Conocimientos

10+ years PM

Generative AI / LLMs

Agile / Scrum

SQL proficiency

Educación

Bachelor's degree

Descripción del empleo

Location: Remote (U.S.)

Clearance: must be eligible to obtain Public Trust

About the Role

We're looking for a hands-on Senior Product Manager to support an innovative federal healthcare initiative focused on delivering practical, high-impact AI solutions.

This role combines product management, product ownership, and Agile delivery, working closely with engineering teams to turn AI capabilities into reliable, user-focused products.

The ideal candidate brings deep product management experience, hands-on knowledge of generative AI, LLMs, and AI agents, and the ability to manage product backlogs, lead Scrum ceremonies, and use data to improve product performance.

What You'll Do

• Translate product priorities and epics into actionable user stories, acceptance criteria, and sprint-ready backlogs.
• Lead Agile ceremonies, including sprint planning, backlog refinement, daily standups, and retrospectives.
• Collaborate with engineers and technical teams to deliver AI/LLM-powered products, including RAG and agent-based solutions.
• Help evaluate LLM performance and troubleshoot issues involving retrieval, prompts, models, and tool execution.
• Use SQL, dashboards, logs, and product analytics to measure adoption, usage, quality, and performance.
• Track sprint velocity, carryover, defects, and release readiness to improve delivery predictability.
• Partner with stakeholders and users to gather feedback, prioritize improvements, and support product adoption.
• Coordinate release testing, onboarding, training, and communication to ensure successful product launches.

Required

• 10+ years of product management or product ownership experience.
• Hands-on experience delivering products involving generative AI, LLMs, or AI/ML technologies.
• Strong Agile/Scrum experience, including personally managing backlogs, writing user stories and acceptance criteria, and facilitating sprint ceremonies.
• Strong SQL skills, including the ability to independently query data and analyze product performance.
• Experience working closely with software engineering teams throughout the product development lifecycle.
• Experience using product metrics, dashboards, and user feedback to drive decisions.
• Strong communication, stakeholder management, and problem-solving skills.
• Bachelor's degree or higher.

Nice to Have

• Federal government experience is highly preferred, particularly supporting federal agencies, research initiatives, or government technology programs.
• Experience with agentic AI, RAG, multi-agent systems, or Model Context Protocol (MCP).
• Experience evaluating LLM outputs and improving AI product quality.
• Healthcare technology or digital health experience.
• Experience with DORA metrics, UX research, and AI product adoption.