Senior Manager, Product Analytics & Strategy

Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed. Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025 , Top Places to Work by USA Today 2025 , Y Combinator's list of Top Companies in 2023 , #4 on Fortune’s Best Workplaces in the Bay Area™ , Inc. Magazine's 2022 Best Workplaces list , and Forbes Best Startup Employers 2022 List . We are looking for a Senior Manager, Product Analytics & Strategy to lead a high-performing team of analysts and serve as a strategic thought partner to Product, Engineering, and executive leadership. This role goes beyond measurement: you'll help shape where Front invests, what we build, and how we make high-stakes decisions — using data, AI, and strong strategic judgment. This is a high-ownership role for someone who sets direction, operates independently, and influences at the most senior levels while staying close to the work. At Front, we expect everyone to bring a strong degree of AI fluency, and this role is no exception. What you'll do: Lead and develop a team of product analysts, including coaching, hiring, and setting a high standard for analytical quality and strategic impact. Drive product strategy through data — not just measuring what happened, but synthesizing insights to inform where we should invest, what we should build, and what we should stop doing. Specifically, help drive our AI product strategy through the data lens. Own product measurement strategy across key surfaces, funnels, and customer journeys. Define success metrics, guardrails, and instrumentation expectations in service of clear strategic goals. Partner with senior leaders in Product, Engineering, Design, and GTM to shape roadmap priorities, evaluate strategic tradeoffs, and help the organization make high-quality bets with data. Translate ambiguous, open-ended strategic questions into structured analyses, clear recommendations, and durable frameworks the business can act on repeatedly. Build scalable analytics systems, including experimentation practices (A/B testing), self-serve reporting, and data quality processes that enable faster, more confident decisions. Actively leverage AI tools and shepherd AI adoption to accelerate your team's work — from faster analysis and insight generation to building smarter, more automated data workflows. Tell compelling stories with data for executive audiences — with a point of view, not just charts. What skills and experience do you need? Strong product strategy instincts backed by analytics: you've gone beyond reporting to actively shape product direction, challenge assumptions, and influence roadmap decisions with data. Experience working at the intersection of product analytics and product strategy — you're comfortable in roadmap reviews, strategy offsites, and build/buy/partner conversations, not just analytical deep-dives. Strong product analytics foundation: you have owned product metrics, funnel analysis, retention/cohort work, and north-star measurement in a product-led environment. Preference for experience in customer-facing products. 2–3+ years of people management experience, with a track record of growing and retaining high-performing teams. Experience partnering with executives and senior cross-functional leaders, and influencing decisions without relying on formal authority. Strong judgment on data quality, instrumentation, and metric definitions (you know when the data is wrong, and how to fix it). Experience building or scaling experimentation programs. Strong SQL and data modeling fundamentals, and experience working with modern analytics tooling (e.g., Snowflake, dbt, Airflow, Mode, Omni or similar). High AI fluency: you actively use AI tools in your day-to-day work — for analysis, writing, data exploration, or workflow automation — and you bring a point of view on how AI can raise the bar for your team's output and speed. Excellent communication skills: you can make complex, ambiguous strategic questions understandable and useful for any audience. Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected. What we offer Competitive salary Equity (we are post-series D & backed by some of the best VCs in the US) Private health insurance, including plan options at no cost to employees Paid parental leave Flexible time off policy Flexibility to work from home Monday and Friday, unless posted as a fully remote role Mental health support with Workplace Options Family planning support with Maven $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities Wellness Days - Fronteers get an additional day off on months with no holidays Winter Break - Our offices are closed from Christmas to New Year's Day! Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. 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