Senior Product Manager

Responsibilities

Product Strategy

• Own the strategy, roadmap, and execution for a major product area.
• Identify customer problems through interviews, workflow analysis, product analytics, and market research.
• Translate customer needs into product strategies and prioritized roadmaps.
• Define product success metrics and use data to continuously improve customer outcomes.
• Balance customer value, technical complexity, and business priorities.

AI Product Development

• Design intelligent product experiences using structured data, large language models, retrieval systems, and automation.
• Partner with Data Science and Engineering to define capabilities including large language models, retrieval-augmented generation, AI agents, workflow automation, prompt orchestration, and structured content generation.
• Define requirements for AI capabilities, including evaluation criteria, quality metrics, confidence thresholds, and customer feedback mechanisms.
• Ensure AI-generated outputs are transparent, explainable, and aligned with customer expectations and regulatory requirements.

Customer Discovery

• Develop an understanding of clinical development workflows and customer challenges.
• Map customer journeys and identify opportunities to simplify complex workflows.
• Validate concepts through customer interviews, usability testing, and prototype evaluations.
• Partner with customers throughout product development.

Product Delivery

• Work with Engineering, Design, and Data Science throughout the product development lifecycle.
• Lead product planning, backlog prioritization, release planning, and customer adoption activities.
• Communicate priorities, tradeoffs, and progress to executives and cross-functional stakeholders.
• Ensure product releases deliver measurable customer and business value.

Product Analytics

• Define and monitor KPIs including adoption, engagement, customer satisfaction, workflow efficiency, and AI quality.
• Use experimentation and product analytics to improve product performance.
• Develop evaluation frameworks measuring product quality and customer impact.

Leadership

• Mentor Associate Product Managers and contribute to product management best practices.
• Foster collaboration across Engineering, Design, Clinical SMEs, Commercial, and Customer Success.
• Champion customer focus, experimentation, accountability, and continuous improvement.

Requirements

Required

• Bachelor's degree in Computer Science, Engineering, Life Sciences, Business, or a related discipline.
• 5+ years of product management experience building enterprise software or SaaS products.
• Demonstrated success leading products from discovery through commercial launch.
• Strong customer discovery and product strategy experience.
• Experience defining product roadmaps and prioritizing across multiple initiatives.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving abilities with a data-driven approach to decision-making.
• Ability to influence cross-functional teams without direct authority.

Preferred

• Experience building products incorporating artificial intelligence or machine learning.
• Familiarity with Claude, ChatGPT, retrieval-augmented generation, AI agents, semantic search, vector databases, and prompt engineering.
• Experience partnering with Data Science teams to deliver AI capabilities into production.
• Experience defining AI quality metrics and evaluation frameworks.
• Experience in life sciences, healthcare, or other regulated industries.
• Familiarity with cloud platforms, APIs, and modern data architectures.

Compensation and Benefits

• Annual salary range: $152,000–$179,000, depending on experience, skills, and location.
• Equity compensation, with amounts communicated at offer issuance.
• Medical, dental, and vision coverage.
• 401(k) retirement plan.
• Basic life insurance.
• Short- and long-term disability coverage.
• Flexible vacation policy, paid sick time, and observed public holidays.
• Training and development reimbursement.
• Hybrid work environment.
• Peer-to-peer bonus program.
• Company and department outings and events.
• Stock option plan.
• Office amenities, including a gym, restaurant tenant discount, and Padel Nine.