Senior Product Manager

About Centrical

Centrical is a frontline employee performance and engagement platform. We help organizations turn performance data into real motivation, coaching, and results, for the managers and employees who keep businesses running. Our platform combines gamification, microlearning, AI-driven insights, and real-time feedback to make work more engaging and performance more visible.

We are a small, focused product team. Every person shapes the product meaningfully. Product works closely with Design, Engineering, and Data Science in a fast, AI-assisted environment where good judgment matters more than process.

About the Role

We are looking for a Senior Product Manager to own an AI- and data-rich domain end-to-end, from customer signal and data exploration through to shipped, measured product.

This is a hands-on, builder role with two defining traits: deep partnership with our Data Science team, and user-experience craft that shapes feature flows and interactions. You will run your own analysis, bring sharp hypotheses to Data Science, and iterate on user experience through wireframes and prototypes. You will work closely with the Head of Product on portfolio direction while operating with high autonomy in your own area.

The role sits at the intersection of four competencies: senior product judgment, deep data fluency and partnership with Data Science, builder muscle to test hypotheses cheaply, and strong UX instincts to shape user-facing flows. We do not separate “discovery PMs” from “delivery PMs,” or strategic thinkers from builders. The role expects all of it.

What You Will Do

• Own an AI- and data-rich product domain end-to-end, from problem framing through shipped, measured outcome
• Run discovery that combines customer conversations, data exploration, and rapid prototyping
• Drive the data side of discovery: explore data, size opportunities, and shape hypotheses, both independently and alongside Data Science as the depth of the question demands
• Build working prototypes (HTML, LLM-based stand-ins, scripts on real data) to validate value, flow, and experience before committing to engineering or visual design
• Produce wireframes and multiple UX options for a feature, then partner with our product designer on the visual craft for production
• Partner with Data Science as a peer: co-scope models, co-design feature definitions and labels, co-evaluate quality from both ML and user-experience angles
• Write specs that pair concise written requirements with interactive prototypes
• Define success criteria, design experiments, measure shipped outcomes, and iterate or kill based on what you see
• Use AI tools actively to accelerate analysis, prototyping, and synthesis
• Influence product strategy with well-reasoned, evidence-backed positions

What We Are Looking For

• 5+ years of B2B SaaS product management experience, with at least 2 years owning data- or AI-powered products
• Proven ability to partner with data scientists as a peer, with concrete examples of joint ideation rather than spec-and-handoff relationships
• Strong data fluency: comfortable querying, interpreting, and analyzing product data directly. Familiarity with SQL is part of this, but the bar is the ability to think clearly with data, not a specific tool
• Track record of shipping ML or AI-powered features, including at least one where you helped scope the model with a data scientist
• Statistical literacy: experiment design, sample sizing, the difference between correlation and causation, and when ML is not the right tool
• Strong UX instincts: comfortable wireframing, iterating on user experience, and translating customer research into product decisions. You shape what gets designed, but you don’t own visual design
• Comfortable building prototypes with modern AI-assisted tools (Claude, Cursor, Lovable, v0, or similar)
• Strong written and verbal communication, able to explain trade-offs clearly to Engineering, Design, Data Science, and senior stakeholders
• Self-directed: in a small team, you sequence your own work and do not need a manager to prioritize your week
• Bachelor’s degree in Computer Science, Engineering, Industrial Engineering, Information Systems, Math, Statistics, or a related quantitative field, or equivalent experience
• Fluent English

What We Value

• High ownership: you take problems from signal to shipped outcome, not just the discovery part
• Strong judgment: knowing when to go deep on data and when to act on direction
• User empathy: you ground decisions in how users actually experience the product, not how you assume they do
• Intellectual honesty: you update your beliefs when evidence changes, and you can talk about times you were wrong
• Builder energy: when you have a question, your first instinct is to test it, not to write a doc about it
• Low ego, high collaboration: you treat Data Science, Engineering, and Design as peers, not service teams
• Curiosity, especially around how AI is changing what good product work looks like

Nice to Have

• Experience with workforce, contact center, HR, or enterprise B2B domains
• Familiarity with LLM application design (prompts, evaluation, fallbacks)
• Background working with small data science teams where leverage matters more than scale
• Background or formal training in UX research, interaction design, or HCI
• Experience designing AI-powered or agent-based product features

Centrical is an equal opportunity employer. We welcome applicants of all backgrounds.