The Challenge
EarnIn is a $1B+ earned wage access platform backed by A16Z and Ribbit Capital, serving paycheck-to-paycheck workers. You'll own the analytics strategy that drives acquisition, activation, and retention for millions of users across paid, owned, and product channels.
Your Mission
Assess current analytics stack, identify gaps in MMM/causal inference capabilities, and build roadmap for AI-driven automation
Establish marketing efficiency baseline (CAC, LTV, payback period) across all channels and identify top 3 optimization opportunities
Hire and onboard 2-3 senior analysts; define team OKRs and first sprint of high-impact analyses
Partner with CMO to define what success looks like: agree on 5 key metrics to move and measurement approach
Launch MMM 2.0 or upgraded causal inference framework; reduce time-to-insight on channel ROI by 50%+
Improve CAC/LTV ratio by 15-20% through insights-driven optimizations to acquisition funnels and lifecycle campaigns
Build and deploy 3-4 AI-powered automation workflows (e.g., weekly anomaly detection, daily performance summaries, monthly insight generation)
Grow analytics team to 4-5 people; establish team as trusted strategic partner to Product and Growth leadership
KPIs You'll Own
Customer Acquisition Cost (CAC)
Drive down CAC through better measurement and channel optimization across paid and owned channels.
Lifetime Value (LTV)
Increase LTV through retention and engagement insights; track by cohort and channel.
Marketing Efficiency Ratio (LTV:CAC)
Target 3:1 or better; primary measure of marketing ROI and growth sustainability.
Time-to-Insight
Reduce turnaround on strategic analyses from days to hours via AI automation and self-service dashboards.
Activation & Retention Rate
Measure % of new users who complete key onboarding steps and return after 30/60/90 days.
Channel Attribution Accuracy
Confidence in multi-touch attribution model; compare predicted vs. actual incrementality from MMM tests.
Tools & Stack
Your Team
Your Manager
CMO
Current Team
2-3 product/marketing analysts (backfill/expansion hire)
Expansion: hire 2-3 analysts in year 1; build to 4-5 person team
The Package
Salary
$215K-$263K base
Variable
Equity package (not specified; standard for VP-level FinTech)
Equity
Included
Remote
Hybrid: Mountain View office, 2 days/week on-site
Benefits & Perks
Company Intelligence
EarnIn is a fintech pioneer in earned wage access (EWA), allowing millions of paycheck-to-paycheck workers to access earnings in real-time without fees, interest, or credit checks. Backed by A16Z, Ribbit Capital, and DST; growing fast with strong runway and experienced leadership team.
Funding
Series C+, backed by A16Z, Matrix Partners, DST, Ribbit Capital
Customers
Millions of paycheck-to-paycheck workers in US
Culture
Fast-growing FinTech; mission-driven (financial accessibility); experienced leadership; collaborative cross-functional teams
Is This Role For You?
- You've led analytics teams at growth-stage FinTech, SaaS, or consumer apps and know how to scale from 2-3 to 5+ people
- You're comfortable moving between 30,000-foot strategy (MMM, brand lift, channel mix) and 30-second deep dives (funnel optimization, cohort analysis)
- You've shipped MMM, incrementality testing, or causal inference work and can explain trade-offs to non-technical execs
- You're excited about AI/automation-not as buzzwords, but as tools to replace manual weekly reporting and unblock faster decision-making
- You've optimized CAC/LTV in a consumer or B2C product business and can connect analytics insights to real business impact
- You're purely hands-on and uncomfortable hiring/managing/developing analysts or defining strategic direction
- You need full remote or flexible office days; this role requires 2 days/week in Mountain View
- You view analytics as a cost center (reporting) rather than a growth lever; EarnIn needs a partner who can move metrics
Interview Process
Initial Screen
Hiring manager (CMO or Head of People) covers background, growth analytics experience, and team leadership philosophy (30 min)
Case Study / Take-Home
Analyze sample marketing data; design measurement approach for new channel or cohort. Submit short writeup with recommendations (1-2 hours)
Cross-Functional Interviews
Separate conversations with Head of Product and VP Growth. Topics: how you'd partner, past wins with cross-functional teams, approach to trade-offs (1 hour total, 30 min each)
Leadership / Vision Conversation
Deep-dive with CMO on analytics strategy, team building, and 6-month roadmap. Discuss AI/automation opportunities and measurement philosophy (1 hour)
Final Round (if applicable)
Meet with CFO or COO to discuss business context, growth targets, and how analytics ties to company OKRs (30 min)
Ready when you are
Interested in this role?
Apply now and hear back within days, not weeks.
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About Growth Marketing roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.