Product Operations Manager

Salient•San Francisco, CA

1d•Onsite

About The Position

We’re building the AI infrastructure powering the future of financial operations - starting with automating the most painful and complex workflows in loan servicing. Backed by a16z and Y Combinator, with $65M raised in Series A funding. 8-figure ARR < 2 years already serving > 20% of the auto lending industry, and processing millions of real customer calls and transactions daily. Fully deployed with major financial institutions - not just PoCs. We are expanding into new financial services segments! In-person office culture in San Francisco, CA. We're fully integrated with our customers, own the full stack, and are moving fast to bring modern AI into regulated industries where precision, reliability, and performance matter most. Why We're Hiring We're managing multiple product lines (Taylor Voice AI, Marshall Compliance, Disputes AI) serving 20+ enterprise customers. As our first product ops hire, you'll build the data infrastructure and frameworks that power decision-making across our product organization. The Role You'll build the operational infrastructure that keeps product teams running efficiently - dashboards that surface what's working, OKR frameworks that align teams, and processes that turn insights into improvements. You're the analytical backbone helping Product Managers make better decisions faster.

Requirements

2-5 years in product ops, business ops, strategy & ops, or management consulting (McKinsey, Bain, BCG, Big 4)
Strong SQL skills - write complex queries, join tables, extract insights from messy data without engineering help
Experience with BI tools (Looker, Metabase, Tableau) building dashboards leadership actually uses
Track record designing and implementing scalable processes at high-growth companies
Strategic thinking with tactical execution - see the big picture but build the spreadsheet yourself
Excellent stakeholder management - influence PMs, Engineering leads, and executives without formal authority

Nice To Haves

Fintech, lending, or regulated industry experience
AI/ML product background - understand accuracy metrics and false positive rates
Early startup ops or strategy hire experience
Familiarity with product analytics tools and experimentation frameworks

Responsibilities

Build executive dashboards tracking adoption, health scores, feature usage, and business impact across product lines
Design SQL queries and data pipelines answering critical questions: Which features drive retention? Where do customers churn? What's our AI accuracy by use case?
Own quarterly OKR process for Product and Engineering - run planning sessions, track progress, hold teams accountable
Partner with PMs on launch coordination - create go-to-market checklists, rollout plans, and success metrics
Synthesize customer feedback from CS, support tickets, and research into actionable insights with clear prioritization frameworks
Run monthly product performance reviews with leadership - present what shipped, what's working, what needs attention
Build operational playbooks: sprint planning templates, launch checklists, beta frameworks, feedback workflows
Work with Engineering on technical planning - help scope work, estimate complexity, communicate progress to stakeholders