Note: The job is a remote job and is open to candidates in USA. ServiceTitan is building the operating system for the trades, and they are seeking a Senior Product Manager for their Data & AI Platform team. The role involves owning algorithmic systems, translating complex statistical problems into clear product requirements, and collaborating with cross-functional teams to drive product decisions.
Responsibilities
- 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
Skills
- 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
Benefits
- 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.
- Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents)
- FSA and HSA
- 401k match
- Telehealth options including memberships to One Medical
- 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
Company Overview
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