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Role Description

Franki is looking for a Manager, Product & Marketing Analytics to build and scale the measurement engine behind our growth. You’ll own analytics across product, marketing, and rewards—shaping how we measure performance, run experiments, and optimize incentives like cashback and Adventures/Gigs. In this role, you’ll define our company-wide measurement strategy, lead causal inference and experimentation, and develop predictive models (LTV, churn, MMM, propensity) that guide roadmap, channel mix, and budget decisions.

This is a hands-on, high-influence role blending deep analytical work in SQL/Python with strategic leadership. Your insights will drive repeat behavior, shape reward economics, and ensure we grow efficiently while keeping costs and liabilities within guardrails.

Note: Candidates residing in our preferred locations; CA will be given first consideration.

What you’ll do:

• Lead the end-to-end analytics program across product, marketing, and rewards, setting the measurement strategy and operating model for the company.
• Build and maintain source-of-truth dashboards, core metrics, and instrumentation standards in partnership with Data Engineering.
• Run robust experimentation at scale—A/B tests, geo/holdouts, matched markets—and drive causal measurement using CUPED, uplift modeling, and other advanced methods.
• Own funnel, cohort, retention, and rewards analytics (cashback, Adventures/Gigs, action incentives); identify leaks, quantify opportunities, and propose optimized reward structures.
• Stand up omnichannel marketing measurement across lifecycle, partners/affiliates, paid social/search, and influencers; lead incrementality and attribution frameworks.
• Develop LTV, payback, forecasting, and rewards economics models to guide roadmap, budget allocation, portfolio mix, and CAC/LTV guardrails.
• Publish weekly and monthly executive readouts with decision-ready insights; influence prioritization, staffing, and budget decisions.
• Ensure data quality and integrity through tracking requirements, validation, anomaly detection, and fraud/abuse monitoring (velocity, collusion, partner attribution, CPA integrity).
• Build self-serve semantic layers and Looker dashboards that enable teams to independently answer key questions.

Qualifications

• BS/BA in a quantitative field (Statistics, Economics, Computer Science, Engineering, Data Science) or equivalent; MS a plus.
• 3+ years in product, growth, or marketing analytics, incentives/loyalty analytics, or data science, with 1+ years in a lead or ownership role.
• Advanced SQL and Python (pandas, statsmodels, causal inference); experience building scalable dashboards and pipelines in BigQuery and Looker.
• Expertise in experimentation design: A/B tests, CUPED, geo/holdouts, power analysis, uplift modeling; familiarity with experimentation platforms like Eppo, Statsig, or LaunchDarkly.
• Strong analytics and modeling skills: LTV, propensity, churn/survival, MMM, budget/payout optimization, and causal inference methods.
• Product and marketing analytics experience: funnels, retention, cohorting, lifecycle measurement, attribution, channel mix/ROAS, and audience targeting.
• Strong product sense with the ability to translate complex data insights into clear, actionable recommendations that drive product and growth decisions.

Requirements

• Comfortable operating at both altitude (strategy, exec forums) and depth (hands‑on SQL/Python).
• Excellent written storytelling; exec‑ready visuals and clear recommendations.
• Ability to manage multiple high‑stakes initiatives simultaneously; thrive in a fast‑paced startup.
• Collaborate effectively across time zones.

Benefits

• Own a high-impact function within a growing startup.
• Help shape how the brand connects with users, creators, and restaurant partners.
• Move fast, test ideas, and lead with creativity.
• Join a collaborative, ambitious team that values autonomy and original thinking.
• Competitive compensation and 100% covered healthcare, dental, and vision benefits for employees.

Perks & Benefits

• Remote work: Our team works remotely across the US but primarily PST time zone; we travel together several times a year for company kick-offs and mid-year meetings.
• PTO: 15 days per year, plus additional PTO between Christmas and the end of the year (25th Dec - 31st Dec). Additionally, we recognize 11 public holidays per year.
• Medical, Dental & Vision: We cover 100% of Medical, Vision, and Dental insurance costs for employees.
• 401(k)
• Equipment: Computer & technology equipment applicable to your role.
• Monthly Stipend: $20 (Tax-free) to cover home office expenses.