Senior Lead Product Manager

The Senior Lead Product Manager develops, manages, and optimizes one or more large, complex, and high‑revenue product lines across the full lifecycle, from problem discovery through delivery and in‑market performance, in an AI‑native environment. The role owns domain strategy and backlog quality from Epic to User Story and uses AI tools to accelerate discovery, specification, and delivery at scale.

• Develop, manage, and optimize product lines, forming an in‑depth understanding of problems by customer segment, persona, and competitive landscape.
• Partner with UX research, marketing research, client solutions, and business stakeholders to gather and synthesize feedback from consumers and clients.
• Identify, quantify, and clearly communicate customer and market opportunities.
• Use AI‑augmented discovery workflows to accelerate problem analysis, synthesize research inputs, and produce implementation‑ready specifications.

• Create and maintain product vision and roadmap, and build business plans to secure funding, including go‑to‑market strategy and value propositions.
• Own backlog quality across Epic, Feature, and User Story altitudes, ensuring artifacts meet exit criteria, reflect current delivery reality, and communicate the value increment at each slice.
• Prioritize and sequence work against business outcomes using data, stakeholder input, and ROI analysis, exercising expert judgment over AI‑generated trade‑off recommendations to ensure alignment with strategic context.
• Collaborate with other product managers to ensure alignment across products and participate in planning and inspect‑and‑adapt events.

• Lead feature creation and specification, identify business rules and impact, and work with Product Owners and delivery teams to ensure cross‑team alignment.
• Lead prototyping, testing, and validation with Product Management, Development, Solutions Delivery, and UX.
• Develop and recommend buy, build, or partner solutions to Agile Release Trains.
• Maintain artifact hygiene across Milestones, Epics, Features, and User Stories, using AI‑augmented authoring tools to keep artifacts current at scale.

• Partner with Product Readiness, client solutions, and marketing to define launch approach (Beta, Pilot, GA, phased) and to produce launch communications including release notes, training materials, and KPI tracking plans.

• Engage with clients as a subject matter expert to understand performance needs for in‑market products.
• Partner with key stakeholders to develop pricing strategies and ensure material contribution to ROI, and communicate product performance and value to business and development stakeholders.

• Establish structured feedback mechanisms including usage data, support signals, and direct user input so the user’s voice is consistently represented in prioritization.
• Synthesize in‑market performance signals to inform Product Life Cycle decisions such as investment, iteration, or sunset recommendations.
• Regularly communicate product and experience performance to stakeholders and the broader organization.

• Direct AI systems across the product lifecycle to accelerate and improve work.
• Fluent in spec‑driven authoring, effective prompting, skill and tool usage, and critical evaluation of AI output.
• Know when to trust AI output and when to verify or override.
• Set the team’s AI workflows and coach others on adoption.