About the RoleFranki 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.
You're a good fit if you have...- 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.
Bonus points if you have...- 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.
Why Join Franki...- 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 & BenefitsRemote 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
The pay range for this role is:
130,000 - 150,000 USD per year (Los Angeles, CA)
