- 7+ years in Product Management focused on data platforms or analytics infrastructure, leading scalable, compliant, AI-ready data ecosystems in regulated environments.
- Strategic technical leader driving end-to-end data platform initiatives that enable trusted analytics, production AI, and long-term scale.
- Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office
Start your adventure with Zip
The Senior Technical Product Manager (Data Platform) owns the strategy, roadmap, and execution of Zip’s foundational data platform. This is a platform-focused role, not a business use-case PM position. You will be responsible for building and scaling reliable, compliant, and AI-ready data infrastructure that powers analytics, risk modeling, fraud detection, regulatory reporting, and production AI capabilities across the company. This role ensures our data assets are trusted, governed, scalable, cost-efficient, and accessible through self-serve capabilities—while meeting the regulatory standards required in fintech.
You will partner closely with Data Engineering, ML Engineering, Agentic AI, Enterprise Architecture, Risk, Compliance, and Product teams to define platform priorities and deliver durable infrastructure that scales with the business.
Interesting problems you’ll get to solve
Data Platform Strategy & Roadmap
- Define and execute the multi-year vision and roadmap for Zip’s enterprise Data Platform.
- Own foundational capabilities, including ingestion, storage, transformation (ETL/ELT), orchestration, metadata management, and access control.
- Ensure alignment with company-wide analytics, AI, and regulatory priorities.
- Balance speed, reliability, scalability, compliance, and cost in roadmap decisions.
Data Governance, Controls & Compliance
- Establish and enforce enterprise data governance frameworks.
Implement and maintain SOX-compliant controls across critical datasets and reporting workflows. - Define and operationalize data contracts between producers and consumers.
- Ensure lineage tracking, auditability, and regulatory reporting integrity.
- Partner with Risk and Compliance to align with data privacy and regulatory requirements (e.g., SOX, KYC, AML, GDPR where applicable).
Reliability, Quality & Platform Health
- Define data quality standards, SLAs, freshness requirements, and certification processes.
- Establish measurable platform health metrics (uptime, quality scores, adoption, cost efficiency).
- Drive proactive monitoring and observability for pipelines and datasets.
- Reduce friction for AI and analytics teams by improving data discoverability and trust.
AI & Advanced Analytics Enablement
- Ensure the data platform supports production-grade AI/ML workloads.
- Enable reusable, well-governed data foundations for feature engineering and experimentation.
- Partner with ML Engineering to ensure model-ready, high-quality datasets.
- Transition the organization from AI experimentation to scalable, production-ready AI capabilities.
Self-Service & Adoption
- Enable self-service analytics capabilities while maintaining governance guardrails.
- Improve discoverability and usability of certified datasets.
- Drive adoption of standardized, governed data assets across teams.
Cost Optimization & Scalability
- Partner with engineering to optimize warehouse, compute, and storage costs.
- Drive architectural decisions that scale efficiently as data volume and AI usage grow.
- Continuously evaluate tradeoffs between performance, reliability, and cost.
What you’ll bring to the team
- 7–10+ years in Product Management or equivalent experience, with a focus on data platforms, data engineering, or analytics infrastructure
- Strong understanding of modern data architectures (lakehouse, warehouse, ELT/ETL, streaming/event-driven systems)
- Experience defining and managing data contracts, governance frameworks, and quality standards
- Experience operating in regulated environments (SOX compliance strongly preferred; fintech or financial services experience a plus)
- Deep familiarity with data platforms such as Snowflake, BigQuery, Redshift, Kafka/Kinesis, or similar ecosystems
- Strong ability to translate complex technical capabilities into measurable business impact
- Demonstrated experience driving cross-functional alignment across engineering, compliance, and business teams
- Comfortable making principled tradeoffs between speed, reliability, compliance, and cost
What Sets You Apart
- Experience enabling AI/ML workloads through reusable, governed data infrastructure
- Systems thinker who understands interconnected platform tradeoffs
- Strong technical fluency with data engineering patterns and architecture decisions
- Proven ability to drive clarity in ambiguous, evolving environments
Experience optimizing infrastructure cost and operational efficiency at scale - Ability to influence without authority and lead through alignment.
What you’ll get in return
Zip is a place where you’ll get out what you put in. The newness of our sector means we need to move at pace and embrace change, and our promise to you when you join the team is that you’ll feel empowered and trusted to make big things happen quickly.
We want you to feel welcome and as though you have the support to be yourself, and care for yourself at work. Because it’s important to us that you make the most of the opportunities you’ll get to grow your skills and your career, and be surrounded by smart, friendly people and leaders that have your back.
We think these are just some of the best things about being a Zipster. We will also offer you:
- Flexible working culture
- Incentive programs
- Unlimited PTO
- Generous paid parental leave
- Leading family support policies
- Company-sponsored 401k match
- Learning and wellness subscription stipend
- Beautiful Union Square office with a casual dress code
- Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available
The Pay Range for this position: $155,000-165,000 based on the industry benchmark for position, function, level and Zip's compensation strategies. However, actual base salary will depend on varying circumstances and individualized factors, such as job-related knowledge, skills, experience, and other objective business considerations.
Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits.
#LI-Remote
Be a part of a team that reflects the diversity of our customers
We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique.
Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience.
And finally…get to know us
Zip is a global ‘Buy Now, Pay Later’ company that gives our millions of customers simpler and fairer ways to pay.
We are proud to be a global business built around our US and ANZ core markets working with merchant partners including Amazon, Best Buy, eBay and Uber. United by our mission, purpose and values - Customer First, Own It, Stronger Together & Change The Game - we are the next generation
We are Zip, and we are just getting started.
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