Director of Product, Martech & Growth Platform
Listed on 2026-06-10
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IT/Tech
Data Engineering
Director of Product, Martech & Growth Platform
Flex is a growth‑stage Fin Tech headquartered in New York City that is creating the best rent‑payment experience. Paying rent on time is expensive, inflexible, and difficult. Flex enables users to pay rent throughout the month on a schedule that fits their finances. Our mission is to empower renters with flexibility over their most significant recurring expense.
About the RoleWe are seeking a Director of Product to lead the Martech and Growth platform at Flex – a 0→1 build role at the intersection of data engineering, marketing intelligence, and consumer growth.
You will be the first to own this function at Flex, sitting in Product and serving marketing leadership as your primary internal customer. You will build and own the infrastructure, data, and tooling that make campaigns possible, measurable, and increasingly intelligent.
As we scale direct‑to‑consumer acquisition through paid social and expand into new biller verticals, you will build the data and intelligence infrastructure that makes that growth compounding rather than linear: a unified identity spine, attribution architecture that moves beyond last‑click, lifecycle infrastructure that personalizes at scale, and an ML intelligence layer that gets smarter over time.
Responsibilities- 0→1 Martech Architecture: Design and build Flex’s martech stack from the ground up – CDP, identity spine, attribution infrastructure, lifecycle orchestration and paid media data pipelines. Make build‑vs‑buy decisions with limited resources and clear sequencing logic.
- Attribution & Measurement Infrastructure: Build the measurement architecture that tells us what is actually working in paid acquisition – incrementality testing, MMM, modeled conversions. Move Flex from last‑click to a defensible system.
- Identity & Data Architecture: Design the identity spine that stitches anonymous ad exposure to app install to authenticated user to payment behavior. Own match‑rate outcomes.
- AI/ML Intelligence Layer: Layer ML‑driven capabilities on top of the stack – propensity scoring, predictive LTV, dynamic audience segmentation – that create compounding marketing leverage over time.
- Paid Media Data Infrastructure: Own the data layer underneath paid social – server‑side conversion APIs, MMP integration, audience sync across Meta and Tik Tok – and be directly accountable for CAC efficiency.
- Lifecycle & Campaign Orchestration: Build the lifecycle infrastructure that powers onboarding sequences, payment reminders, re‑engagement programs, and cross‑vertical messaging as Flex expands beyond rent into other biller verticals.
- Platform Leadership & Stakeholder Engagement: Act as the primary technical thought partner to the CMO – translating infrastructure capabilities into growth strategy and translating marketing needs into technical requirements for engineering and data science.
- Data Governance & Compliance: Design consent management, data governance, and regulatory compliance into infrastructure design.
- 8+ years product management experience in martech, growth infrastructure, or data products – directly building and owning the stack.
- 0→1 build experience in a high‑growth environment – built a martech function, data platform, or measurement infrastructure from scratch with limited resources and high ambiguity.
- Attribution architecture depth – hands‑on experience with incrementality testing, MMM, or modeled conversions.
- ML shipped in production – propensity models, predictive LTV, dynamic segmentation, or recommendation systems you can describe technically.
- CDP ownership – vendor evaluation, build vs. buy decisions, integration, and match‑rate & activation outcomes.
- Paid media data fluency – direct accountability for CAC, hands‑on experience with server‑side conversion APIs, MMP integration, or paid social audience infrastructure.
- Consumer product context – customers are individuals, not enterprise buyers; bonus if that context is fintech.
- Technical credibility with engineers and data scientists – can design systems at the data layer, not just describe product requirements.
Flex takes a market‑based approach to pay, ensuring…
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