Full-Time Product Manager

We're looking for a Product Manager who thrives in high-ownership environments and is excited about AI-enhanced product development workflows. Working closely with our engineering team and reporting to the CTO, you'll drive product strategy and execution while managing complex stakeholder relationships.

You'll help integrate AI/LLM capabilities (Claude, Gemini) into our product strategy and work directly with our engineering and design teams to ship solutions that matter to our customers.

Key Responsibilities:

• Drive AI-enhanced product strategy: Lead product roadmap development leveraging AI planning agents.
• Master stakeholder orchestration: Coordinate seamlessly between engineering, design, sales, customer success, and executive leadership.
• Champion customer-centric discovery: Conduct customer interviews, analyze feedback data, and translate insights into actionable product requirements using AI-assisted analysis.
• Juggle multiple high-impact initiatives: Manage competing priorities across feature development, technical debt, customer escalations, and strategic initiatives.
• Lead AI tooling adoption: Drive the adoption and utilization of AI tools to enhance product capabilities.
• Facilitate agile excellence: Lead sprint planning, standups, retrospectives, and cross-functional collaboration.
• Communicate with precision: Create compelling product narratives, roadmaps, and updates.
• Analyze and optimize: Use data analytics, customer feedback, and AI-enhanced insights to measure product success.

Qualifications and Skills:

• 3-5 years of product management experience in B2B software or SaaS environments.
• Stakeholder management mastery.
• Project orchestration excellence.
• Customer-facing expertise.
• AI tooling enthusiasm.
• Communication excellence.
• Analytical mindset with ability to make data-driven decisions.
• Comfortable with technical concepts.

Nice to have:

• HR tech experience.
• Technical skills (Software development background).
• Customer support experience.
• Experience with multi-tenant SaaS platforms, enterprise software, or B2B applications serving professional services firms.
• Background in workplace psychology, employee wellbeing, or organizational development.
• Familiarity with data analytics, business intelligence, reporting tools, or survey/feedback platforms.

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