Senior Product Manager, Platform, Integrations, and Data

CSC Generation

16d•$140,000 - $145,000•Remote

About The Position

Sur La Table's product team is three PMs covering the full technology landscape. This role anchors the Retail Platform & Data Infrastructure capability area — the back-office systems, data foundations, and integrations that keep commerce operations running — while flexing into Commerce and Customer Intelligence work as priorities shift. As Senior Product Manager, Platform, Integrations, and Data, you will drive execution across the systems, standards, and governance that make data reliable, platforms scalable, and operations never the bottleneck. Success in the first six to twelve months means establishing product rigor and data governance where none exists today, improving integration reliability across core retail systems, and delivering measurable gains in fulfillment efficiency. This is a lean team. You will own a lot, move fast, and make decisions with full end-to-end responsibility.

Requirements

5+ years of enterprise commerce backbone experience working with order management, PIM/catalog, warehouse and fulfillment, store POS, replenishment, demand forecasting, or shipping/rate-shopping systems — with a clear understanding of how these systems interact and where the biggest leverage points are.
Data and process automation experience using analytics or predictive models (not just manual rules) to improve processes such as sourcing rules, allocation, picking/packing flows, replenishment, or returns.
Technical fluency: comfortable with SQL and data analysis; working knowledge of APIs, data modeling, and integration patterns; able to collaborate with engineers on event-driven architectures and microservices.
Systems thinking and cross-functional leadership: ability to synthesize complex operational processes into clear requirements and drive alignment across engineering, data, operations, and business teams. Experience defining OKRs and KPIs and using data to prioritize.
Strong business sense and comfort operating with ambiguity and incomplete information on a small team.

Nice To Haves

Hands-on experience with AI-native tools, workflow automation (e.g., n8n), or MCP integrations; ability to prototype and test ideas quickly without waiting on engineering.
Familiarity with vendor evaluation, build-vs-buy analysis, and building business cases for technology investments.

Responsibilities

Drive execution against the product roadmap for core retail platforms, integrations, and data foundations; contribute to roadmap prioritization in partnership with the Director of Product.
Translate complex operational and business needs into scalable, reusable platform capabilities rather than bespoke solutions.
Lead product execution for OMS-adjacent capabilities including order lifecycle management, inventory visibility, fulfillment orchestration, routing, splits, cancellations, and returns.
Define and evolve integration patterns, APIs, and data contracts across OMS, POS, ERP, WMS, CEP, CDP, and analytics platforms.
Own requirements for eventing, instrumentation, and data quality standards; define and maintain the governance model for core data domains (customer, order, product, inventory).
Partner with Data and Analytics teams to enable reliable reporting, agent-enabled insights, self-serve analytics, and downstream activation for experimentation, measurement, and AI use cases.
Research, evaluate, and scorecard platform and vendor solutions with a critical eye on architecture, scalability, integration complexity, and total cost of ownership; provide feasibility analysis to inform build-vs-buy decisions.
Identify where AI or automation can reduce operational cost, improve data quality, or accelerate fulfillment outcomes. Evaluate solutions pragmatically and make the case for prioritizing them.