Note: The job is a remote job and is open to candidates in USA. Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans. The Head of Lifecycle Marketing will own the borrower relationship and grow the lifetime value of every customer, setting strategies for retention and product offerings while collaborating closely with other marketing teams.
Responsibilities
- Set post-funding lifecycle strategy end-to-end from first payment through payoff, refinance, top-up, second loan, and adjacent products. Anticipate where the portfolio and competitive landscape are heading and bring a defensible, data-backed point-of-view on where the next dollar of LTV comes from proactively
- Make the next-best-offer calls of which product, channel, and moment to surface, and to whom, grounding them in behavioral signal (on-time payments, paydown, income, credit evolution) and real cohort and propensity models with Data Science rather than instinct, while balancing risk-adjusted return against customer response
- Treat LTV, repeat-borrow rate, and portfolio yield as the P&L levers they are. Own them as primary metrics, connect them to CAC and funnel economics with Finance and Credit & Risk, and make the trade-offs that actually move performance
- Reframe the payoff moment, a natural exit, into our most valuable re-engagement event. Build the re-acquisition workflow that activates as a loan approaches and crosses payoff, plus pre/post-payoff and win-back programs that convert it into the next product fit
- Operate confidently in ambiguity as the portfolio expands. Own lifecycle activation for new products (marketplace relaunch, deposit and partner cross-sell), run the lifecycle stack across HubSpot (post-SFMC migration), and apply AI for next-best-action, propensity scoring, and journey optimization where it earns its place
- Optimize acquired leads across Happy Money and partner products. Own lead scoring, qualification frameworks, and routing logic — ensuring the right prospects reach the right journeys at the right time. Integrate predictive data signals into lead prioritization and channel optimization
- Hold an honest, evidence-first perspective. Prove what works with rigorous experimentation (holdouts, incrementality), learn fast from what fails, and let results change the strategy and tactics
- Drive a disciplined operating cadence with weekly/monthly reviews, budget pacing, and quarterly LTV/retention/repeat-origination forecasts. Make complex segmentation and next-best-action logic legible to senior leaders and clear roadblocks across functions without defaulting to escalation
- Turn routine servicing touch points into brand and growth moments (reminders, milestones, payoff celebrations) with Communications, Servicing, Product, and CX, while protecting attribution, tracking, and dashboard integrity building trust in the numbers
- Build the capability, then the team. Operate first as a force multiplier across analysts, data scientists, martech/agency partners, and AI agents, knowing when to leverage each, then stand up and lead the lifecycle team as scope expands, holding a high bar for talent and for what reaches customers
- Keep a sharp external point-of-view. Track lifecycle and retention moves at peer lenders (SoFi, Upgrade, LendingClub, Best Egg) and adjacent fintechs and translate them into roadmap implications, acting with urgency rather than waiting for consensus
Skills
- 8+ years in lifecycle, CRM, retention, or growth marketing, with meaningful time in lending or fintech
- Owned an LTV or retention strategy and tactics, not just campaign delivery, and know how the business makes money well enough to treat repeat-borrow rate and portfolio yield as P&L levers
- Strong analytical and financial fluency (CAC, funnel conversion, lead scoring, forecast modeling, LTV economics) and the judgment to make high-quality decisions and challenge assumptions without waiting to be directed
- Deep lifecycle expertise (journey design, automation workflows, next-best-offer logic, PIF/win-back) plus the behavioral-data and segmentation fluency to work directly with analysts and data scientists on cohort, propensity, and uplift models
- Think across disciplines and stay comfortable with complexity, ambiguity, and pushback, learning fast from both wins and misses
- Experience building or operating shared eligibility/trigger layers with Credit or Risk
- Track record running rigorous experiments (holdouts, multivariate, incrementality) and acting on the results
- Drive execution and communicate clearly, making complex segmentation and next-best-action logic understandable to key stakeholders, prioritizing the right things, and resolving competing priorities without defaulting to escalation
- Hands-on with modern lifecycle tooling (automation, email/SMS/in-app/push, journey orchestration) and comfortable operating through platform transitions
- Anticipate where the market and portfolio are heading and translate it into credible strategy, with a defensible point-of-view
- Ready to build and lead a team: this role starts without direct reports, but you bring the instincts to assemble the right mix of talent, partners, and AI agents and hold a high-performing team to a high bar as the function scales
- Experience in personal lending, credit cards, or mortgage preferred
Benefits
- Generous medical, dental, and vision insurance options
- Eligible for Annual Bonus
- 401k Plan with a matching contribution
- Generous PTO including sick leave, vacation, volunteer, and more
- 12 Weeks Paid Parental Leave
- Company-paid short & long term disability and life insurance
- Monthly tech stipend to help cover expenses for remote work
- Happy Money is a 100% fully distributed workforce
Company Overview
Company H1B Sponsorship