Job description

Ready to be a Titan? At ServiceTitan, we re building the operating system for the trades. As we continue to scale, we re looking for a Senior Product Manager to join our Data & AI Platform team and own the algorithmic systems that sit underneath dozens of downstream product features and quietly decide what gets prioritized, surfaced, and trusted across ServiceTitan. This is a senior individual contributor role for a product leader who thinks in statistics, not just user stories. The specific problems you ll own will shift based on what domain teams and our customers need most — today that might mean ranking methodology, deduplication logic, or causal inference; tomorrow it could be a different statistically-driven problem entirely. What stays constant is the kind of thinking: translating ambiguous, statistically messy problems into clear product requirements that engineering and ML can build against with confidence. This is a heavily stats-driven PM role: you ll be evaluating model tradeoffs, defining what correct means for a given system, and defending methodology choices to a technical audience as much as you ll be writing a roadmap. What you ll do: Define and own the roadmap for whichever algorithmic systems — ranking, deduplication, causal inference, or similar — are highest-priority based on domain team and customer need. Translate real customer pain (bad matches, untrustworthy rankings, wrong conclusions drawn from correlated data) into statistically rigorous product requirements. Co-author PRDs for statistically ambiguous problems where the right answer isn t obvious — you re defining the evaluation criteria as much as the solution. Partner with ML and engineering to evaluate model tradeoffs (precision/recall, false positive cost, explainability vs. accuracy) and make the product call when there s no clean answer. Set measurable, multi-quarter goals for algorithmic system health and lead cross-functional teams toward them with rigor. Lead discovery with domain product teams and customers to understand where algorithmic errors actually cost time, money, or trust. Proactively identify and resolve disagreements over methodology, ownership, and model quality before they stall multiple teams building on your systems. What you ll bring: 5 years of product management experience, strong track record in enterprise B2B SaaS; experience with at least one of ranking/recommendation systems, entity resolution, or causal inference — this role will likely touch more than one over time. Genuine statistical fluency — comfortable with precision/recall tradeoffs, confounding vs. causation, and model evaluation, regardless of which specific problem you re applied to. Demonstrated ability to define evaluation criteria and what correct looks like for a new statistical problem from scratch, rather than working from an existing rubric. Comfort context-switching between different algorithmic domains as customer and business priorities shift. Experience translating customer-reported problems (bad matches, low trust in recommendations, wrong conclusions) into statistically defined product work. Strong communication skills — explaining model tradeoffs to domain PMs, ML engineers, and customers who each need a different level of technical detail. Self-starter who takes initiative and holds themselves accountable to outcomes — mostly works isn t good enough when customers are trusting your systems with real decisions. Why This Role Matters: Ranking, deduplication, causal inference — and whatever comes next — quietly decide what ServiceTitan surfaces, trusts, and acts on, for both internal teams and the customers depending on those systems being right. Get it wrong, and the failure isn t loud — it s a customer trusting a bad recommendation, or two records that should ve been merged staying separate. Your job is to bring statistical rigor to decisions most PMs never have to make, driven by what domain teams and customers actually need, not a fixed technical checklist. Be Human With Us: Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. Use of AI Technology: We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams. What We Offer: When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career: Flextime, recognition, and support for autonomous work : Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more. Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical. Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more. At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws. ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws. For candidates in the United States, the good faith salary ranges estimate for this role is Zone 1: $147,600 USD - $221,400 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA Zone 2: $137,900 USD - $206,900 USD Applicable for: All other US locations. International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.

Requirements

Must-haves

Ready to be a Titan?
Define and own the roadmap for whichever algorithmic systems — ranking, deduplication, causal inference, or similar — are highest-priority based on domain team and customer need.
Translate real customer pain (bad matches, untrustworthy rankings, wrong conclusions drawn from correlated data) into statistically rigorous product requirements.
Co-author PRDs for statistically ambiguous problems where the right answer isn t obvious — you re defining the evaluation criteria as much as the solution.
Partner with ML and engineering to evaluate model tradeoffs (precision/recall, false positive cost, explainability vs. accuracy) and make the product call when there s no clean answer.
Set measurable, multi-quarter goals for algorithmic system health and lead cross-functional teams toward them with rigor.
Lead discovery with domain product teams and customers to understand where algorithmic errors actually cost time, money, or trust.
Proactively identify and resolve disagreements over methodology, ownership, and model quality before they stall multiple teams building on your systems.
Genuine statistical fluency — comfortable with precision/recall tradeoffs, confounding vs. causation, and model evaluation, regardless of which specific problem you re applied to.
Demonstrated ability to define evaluation criteria and what correct looks like for a new statistical problem from scratch, rather than working from an existing rubric.
Comfort context-switching between different algorithmic domains as customer and business priorities shift.
Experience translating customer-reported problems (bad matches, low trust in recommendations, wrong conclusions) into statistically defined product work.
Strong communication skills — explaining model tradeoffs to domain PMs, ML engineers, and customers who each need a different level of technical detail.
Self-starter who takes initiative and holds themselves accountable to outcomes — mostly works isn t good enough when customers are trusting your systems with real decisions.

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

aiml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave

Wellness