×
Register Here to Apply for Jobs or Post Jobs. X

Director of Product, Martech & Growth Platform

Job in New York, New York County, New York, 10261, USA
Listing for: Flex
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 248000 - 310000 USD Yearly USD 248000.00 310000.00 YEAR
Job Description & How to Apply Below
Location: New York

Flex is a growth‑stage, NYC‑headquartered Fin Tech company that is changing the rent payment experience by allowing users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower renters with flexibility over their most significant recurring expense.

Director of Product, Martech and Growth Platform

We are searching for 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 verticals, you will build the data and intelligence infrastructure that makes that growth compounding rather than linear – a unified identity spine, attribution architecture beyond last‑click, lifecycle infrastructure that personalises at scale and an ML intelligence layer that learns over time.

  • 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 & Measurement
    :
    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 defensible metrics.
  • Identity & Data Architecture
    :
    Design the identity spine that stitches anonymous ad exposure to app install to authenticated user to payment behaviour. 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 programmes and cross‑vertical messaging as Flex expands beyond rent.
  • Platform Leadership & Stakeholder Engagement
    :
    Act as the primary technical thought partner to the CMO – translate infrastructure capabilities into growth strategy and convert marketing needs into technical requirements for engineering and data science.
  • Data Governance & Compliance
    :
    Design consent management, data governance and regulatory compliance into infrastructure design.
Qualifications
  • 8+ years of 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, a data platform or a measurement infrastructure from scratch with limited resources and high ambiguity.
  • Deep attribution‑architecture expertise – 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 – evaluated vendors, made build‑vs‑buy decisions, managed integrations and been accountable for match‑rate and activation outcomes.
  • Paid‑media data fluency – direct accountability for CAC swing, hands‑on server‑side conversion APIs, MMP integration or paid‑social audience infrastructure.
  • Consumer‑product context – customers are individuals, not enterprise buyers; fintech experience is a bonus.
  • Technical credibility with engineers and data scientists – you can design systems at the data layer, not just describe product requirements.
Compensation

Flex employs a market‑based pay approach. For Tier 1 (NYC/Bay Area) markets, the base salary range is $248,000–$310,000 USD. Geographic pay differentials apply outside these…

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary