Director of Product (Martech & Growth Platform)
$248k - $310kFlex LTD
About the Role We 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 makes 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. You will be accountable for CAC efficiency outcomes, identity match rate and audience quality on paid platforms, and measurable lift from ML‑driven lifecycle interventions - all built from greenfield. This is a hybrid position with on‑site expectations in our New York Headquarters or San Francisco/Bay Area Office, 2-3 days per week. For candidates outside of a required location, you may be eligible for our relocation assistance program. 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 deliberate build vs. buy decisions with limited resources and a clear sequencing logic. Attribution and Measurement Infrastructure: Build the measurement architecture that tells us what's actually working in paid acquisition — incrementality testing, MMM, modeled conversions. Move Flex from last‑click to something defensible. Identity and 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 bought 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 TikTok and be directly accountable for CAC efficiency. Lifecycle and 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 and 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 and Compliance: Design consent management, data governance, and regulatory compliance into infrastructure design. Qualifications 8+ years of product management experience specifically in martech, growth infrastructure, or data products — directly building and owning the stack, not in adjacencies. 0→1 build experience in a high‑growth environment — you've built a martech function, a data platform, or a measurement infrastructure from scratch with limited resources and high ambiguity; you know what it feels like when the playbook doesn't exist. Attribution architecture depth — you've built measurement systems that work when signals are degraded; you have 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 — you've run the vendor evaluation, made the build vs. buy call, managed the integration, and been accountable for match rate and activation outcomes. Paid media data fluency — direct accountability for CAC going up or down; hands‑on experience with server‑side conversion APIs, MMP integration, or paid social audience infrastructure. Consumer product context — your customers are individuals, not enterprise buyers; bonus if that context is fintech. Technical credibility with engineers and data scientists — you can design systems at the data layer, not just describe product requirements. Compensation Flex takes a market‑based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Tier 1 (NYC/Bay Area)
$248,000—$310,000 USD
Life at Flex We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self‑aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on‑site expectations of 2‑3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits For full‑time U.S. employees we offer: Competitive medical, dental, and vision Company equity 401(k) plan with company match Unlimited paid time off + 13 company paid holidays Parental leave Free Flex subscription For full‑time non‑U.S. employees, we offer: Competitive compensation + company equity Unlimited PTO #J-18808-Ljbffr Flex$340k - $425k
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