Senior Product Manager at ComPsych Corporation

Job description

ComPsych Ⓡ is the worldwide leader in organizational mental health, well-being, and absence management, dedicated to igniting human potential in workplaces across the globe. For over 40 years, we have combined the best in technology with unmatched human expertise to help individuals and their organizations thrive. Our GuidanceResources Ⓡ and AbsenceResources Ⓡ solutions deliver end-to-end mental health, well-being, work-life, health navigation, and absence support to more than 75,000 customers worldwide, touching more than 160 million lives across 200 countries. Visit compsych.com to find out why 40% of the Fortune 500 choose ComPsych for their mental health and absence management needs. Every product decision at ComPsych eventually reaches someone in a hard moment — a mental health crisis, a leave of absence, a benefit they need but don't fully understand. Modernizing how we build product means moving faster without losing sight of that. We're making our product development lifecycle AI-native from discovery through delivery, working closely with Engineering and Design end to end. As we turn services historically delivered by our Operations and Customer Success teams into digital products, their frontline knowledge of customers and how the product is actually used becomes essential input, so partnering with them closely is part of the job. We're looking for a Senior Product Manager who already uses AI throughout the product lifecycle. This is a high-leverage role: you'll spend more time on the judgment calls only a PM can make — framing the problem, validating what AI surfaces, deciding what actually matters — than on the manual research, drafting, and synthesis AI now does well. You'll use assistants like Claude and ChatGPT daily to accelerate research, requirements, and prototyping, then apply your own product judgment to what comes back before it shapes the roadmap. • AI changes what your time goes toward. You're still accountable for the full product lifecycle — discovery, requirements, prioritization, delivery, validation — but your hands-on role in each shifts. • Own product strategy and roadmap as your core contribution. You set direction for your business unit — priorities, tradeoffs, and the roadmap — and align leadership and cross-functional teams around it. • Direct AI-accelerated discovery, not manual synthesis. Use AI to turn customer interviews, support tickets, competitor material, and market research into insights — then apply judgment to what's actually true and what matters. • Draft requirements with AI, then own the judgment calls. PRDs, user stories, and acceptance criteria start with AI — you validate scope, edge cases, dependencies, and prioritization before the team builds against them. • Prototype before you commit engineering effort. Use AI tools to generate interactive mockups and working demos, and test ideas with stakeholders and users while they're still cheap to change. • Turn AI-surfaced data into decisions, not just dashboards. Direct AI to analyze usage and product data and generate hypotheses; you decide what's worth an experiment and own the success metrics. • Engage directly with customers and internal customer-facing teams. Bring product thought leadership and vision to sales, customer success, and BD conversations, and equip customer-facing teams with the product knowledge and direction they need. • Raise the bar for how Product works with AI. Collaborate with other PMs on building and refining the prompts, templates, and guardrails, and holding the team accountable for accuracy, bias, and privacy — especially with sensitive behavioral health and absence data. • Other duties as assigned. • 5+ years owning products end to end — strategy, roadmap, and execution — not just a slice of someone else's. • Deep technical acumen and a real partnership with Engineering, with enough command of system constraints and tradeoffs to make good calls without being told the answer. • A backlog discipline you can defend: writing detailed stories, prioritizing under pressure, and unblocking a cross-functional team without becoming its bottleneck. • An analytical, data-driven approach to problem-solving, with experience working in an Agile environment and driving initiatives through influence rather than authority. • AI is already part of how you work, not something you're curious about. You use assistants like Claude and ChatGPT daily for research synthesis, PRD and story drafting, prototyping, or data analysis — and can point to outputs you caught before they shipped. • Sound judgment about when to trust AI and when not to, including real awareness of hallucination risk, bias, and data-privacy considerations — especially with regulated or sensitive data. • A track record of helping teams adopt new tools and ways of working. You don't just use AI well yourself — you raise the floor for everyone around you. Bonus: experience in behavioral health, absence management, or another regulated, data-sensitive industry. • Full benefits package, including Paid Time Off (PTO), medical, dental, vision, 401(k) with match, robust EAP, wellness program, and much more • The salary range for this position is $130,000 - $180,000 USD. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, and scheduled hours. EEO ComPsych is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, age, genetics, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status and any other characteristic protected by federal, state or local laws. ComPsych Corporation maintains a drug free workplace. ComPsych Corporation and its affiliates is committed to the responsible and transparent handling of your personal data. Information collected during the recruitment process will be used to assess your application and, where applicable, to prepare and administer an offer of employment. Your personal data will be processed in accordance with the privacy laws applicable in your country or jurisdiction of residence, which may include the California Consumer Privacy Act (CCPA), the EU General Data Protection Regulation (GDPR), Canada's Personal Information Protection and Electronic Documents Act (PIPEDA) and applicable provincial privacy legislation, and other applicable national or local privacy laws. For full details on what personal data we collect, how we use it, your rights as an Applicant, and how to contact us with privacy-related questions, please review the relevant Applicant Data Privacy Notices: US Applicant Data Privacy Notice & Canada Data Privacy Notice .

Requirements

Must-haves

AI changes what your time goes toward. You're still accountable for the full product lifecycle — discovery, requirements, prioritization, delivery, validation — but your hands-on role in each shifts.
Own product strategy and roadmap as your core contribution. You set direction for your business unit — priorities, tradeoffs, and the roadmap — and align leadership and cross-functional teams around it.
Prototype before you commit engineering effort. Use AI tools to generate interactive mockups and working demos, and test ideas with stakeholders and users while they're still cheap to change.
Turn AI-surfaced data into decisions, not just dashboards. Direct AI to analyze usage and product data and generate hypotheses; you decide what's worth an experiment and own the success metrics.
Other duties as assigned.
5+ years owning products end to end — strategy, roadmap, and execution — not just a slice of someone else's.
Deep technical acumen and a real partnership with Engineering, with enough command of system constraints and tradeoffs to make good calls without being told the answer.
A backlog discipline you can defend: writing detailed stories, prioritizing under pressure, and unblocking a cross-functional team without becoming its bottleneck.
An analytical, data-driven approach to problem-solving, with experience working in an Agile environment and driving initiatives through influence rather than authority.
Sound judgment about when to trust AI and when not to, including real awareness of hallucination risk, bias, and data-privacy considerations — especially with regulated or sensitive data.
A track record of helping teams adopt new tools and ways of working. You don't just use AI well yourself — you raise the floor for everyone around you.

Nice-to-haves

Bonus: experience in behavioral health, absence management, or another regulated, data-sensitive industry.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagile

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Wellness