[Hiring] Product Science Manager @AC Lion Digital Media Executive Search

Role Description

As the Product Science Manager, you'll establish and lead the Product Science function. You'll ensure product decisions are grounded in rigorous experimentation, advanced analysis, and practical application of AI tools. Partnering with Product, Data, Engineering, and Design, you'll build a culture of evidence-based decision making and help teams confidently leverage AI in their day-to-day work.

What You'll Do:

• AI & Tooling:
  • Define and deliver a roadmap of AI-powered tools and workflows that support product discovery, prioritization, definition, development, and customer insight generation for the product management process and team.
  • Establish and champion AI best practices across the product organization, ensuring that outputs (e.g., AI-generated PRDs, analyses, or insights) are accurate, ethically sound, shareable without risk, and owned by product managers who validate, refine, and contextualize AI contributions.
  • Evaluate emerging AI/ML capabilities to improve the product development lifecycle.
  • Own AI-assisted opportunity evaluation for new business ideas and feature requests: build and maintain prompt/playbook pipelines that estimate key metrics, effort/risk, and likely impact; codify decision criteria and produce a one-page AI opportunity readout for roadmap forums.
  • Operationalize AI-generated product collateral: from prototypes and discovery artifacts, auto-produce first-draft PRDs, user stories, release notes, and user docs; implement human-in-the-loop review standards and quality gates (accuracy, completeness, tone).
• Experimentation & Analytics:
  • Own product usage analytics via a leading product growth/analytics platform (and adjacent tooling), including event taxonomy, in-app tracking, and cohort analyses; apply AI-assisted evaluation to surface patterns/anomalies and deliver a recurring product usage report with adoption, retention, and feature-level KPI insights for PMs and leadership (human-in-the-loop for validation).
  • Monitor industry news and client developments and synthesize a monthly market & client trends brief; use AI-driven evaluation to scan sources, cluster signals, and score impact so competitive moves, regulatory shifts, and client announcements translate into clear product implications and recommendations.
• Education & Enablement:
  • Train and mentor product managers and cross-functional partners on AI literacy, experimentation best practices, and data-driven product development.
  • Own a customer listening database aggregating inputs from customer meetings, internal submissions, and in-app feedback; maintain tagging/duplication hygiene and publish a quarterly voice-of-customer report with prioritized themes, sentiment, and linked evidence.
  • Create playbooks, templates, and self-serve resources for AI and experimentation.
  • Act as an internal evangelist for evidence-based decision making.
• Leadership & Collaboration:
  • Lead a small team of Product Scientists and Analysts (role starts as IC with the opportunity to build a team).
  • Collaborate across Product, Engineering, Data, and Design so science-driven insights directly shape the roadmap.
  • Communicate complex AI and data concepts clearly to executives and non-technical stakeholders.

Qualifications

• 3-5+ years in Product Analytics, Data Science, Experimentation, or Product Science; 2+ years in a leadership/management capacity.
• Strong background in A/B testing, causal inference, ML fundamentals, and data storytelling.
• Proficiency in SQL and Python/R; statistical modeling; experience with product growth platforms.
• Demonstrated experience with using modern LLMs and generative AI to optimize workflows, recommendation systems, and applied AI frameworks; ability to evaluate and integrate AI into product workflows.
• Deep understanding of product development and how insights influence roadmaps.
• Excellent communicator, educator, and influencer who thrives at the intersection of science and product strategy.

Benefits

• Tech-First Culture: We believe in building smart, scalable systems—and we invest in them.
• Real-World Impact: Your work will touch thousands of users every day, improving their workflows and outcomes.
• Autonomy + Collaboration: Own your space, while being part of a highly connected, supportive team.
• Growth-Minded Environment: We prioritize learning, innovation, and pushing the limits of what's possible.

Compensation

$145,000–$150,000 base