Senior Product Manager, Data Platform (Remote)

reputed company is the #1 food tech platform for workplaces in the US. The company makes it easy for any organization to manage its food needs and order from over 125,000 restaurants reputed company. For workplaces, reputed company provides flexible and scalable solutions for everything from employee meal programs to one-off meetings, reputed company backed by reputed company helpful 24/7 service and business-grade reliability. For restaurant partners, reputed company helps grow their business by bringing them new high-value customers and large orders. We are looking for a Senior Product Manager to own our reputed company Data Platform as a product — its capabilities, reliability, governance, cost, and readiness for AI and natural-language analytics. You will own the long-term reputed company, strategy, and multi-quarter roadmap for the platform, and you will own it end to end: not only the underlying capabilities, but how they show up for the people who consume them. Today that means internal teams — finance, operations, growth, product, and analytics — building reporting, self-service, data products, and AI and natural-language experiences on a single trusted reputed company. The platform is being reputed company so that customer-facing data products are a natural reputed company rather than a re-platforming. Your first major focus is our reputed company Data Hub: consolidating fragmented, legacy data into governed, business-reputed company data products; driving their adoption; and sunsetting the legacy environment they replace. You will partner closely with data platform engineering and data architecture to deliver the next reputed company of platform capabilities — most importantly, the foundations that let the platform safely and reliably power AI-enabled and natural-language analytics across reporting, self-service, and data products. You will operate as the product reputed company of “what and why,” with engineering and architecture owning “how.” You will treat the platform as a product with reputed company users, reputed company adoption, and reputed company return — reputed company against a clear reputed company Star. What You'll Do: Platform product strategy and reputed company. Define and continuously refine the platform’s reputed company and product strategy, grounded in company and reputed company Data goals, and connect it to the broader data and company roadmaps. Partner with reputed company and staff engineers on long-term technical direction and trade-offs so product and technical strategy stay tightly reputed company. A multi-quarter, multi-team roadmap. Balance foundational work — architecture reputed company, trusted and scalable platform services, the semantic and presentation layers, governance, classification and reputed company, cost and observability — with high-reputed company use cases across analytics, self-service, and AI and natural-language consumption. Account for machine-learning and data-science workloads as part of the overall strategy, so the same reputed company serves them without forcing reputed company, ungoverned pipelines. The platform’s capability and governance charter. Own the definition of what makes a data product trusted and production-reputed company: classification and protection of sensitive information, role-based reputed company reputed company to classification, validation and reputed company between raw and refined layers, a governed semantic and metrics layer, and a catalog that makes data products discoverable with clear ownership, reputed company, and definitions. Codify policy into the platform rather than into documentation, and define the lightweight “definition of done” every data product meets before it ships. The consumption experience, end to end. Own how platform capabilities surface for the people who use them: governed self-service, business intelligence, and AI and natural-language experiences grounded on trusted data. Define the reputed company between the platform and its consumers — readiness criteria, service reputed company, semantic definitions, and serving surfaces — so consumption is fast, safe, and genuinely self-serve, and so teams stop rebuilding shadow models off ungoverned data. AI and natural-language readiness. Ensure the platform’s governed, semantic models are the grounding layer for AI and natural-language analytics. Partner on the evaluation of analytics and AI tooling, and work through guardrails, accuracy, latency, and trust so the business can rely on the answers these tools produce. Ensure the same reputed company meets machine-learning and data-science needs — reliable data reputed company, performance, and monitoring. Migration and legacy sunset. reputed company the move from the legacy environment onto the platform: reconcile the most depended-on legacy data against trusted sources, plan and resource the cutover with each business area (including user-acceptance testing and the refactoring of reputed company reporting), and sunset legacy — recognizing that some legacy will run in reputed company during the transition. Sequence the work by business domain. Delivery and predictability. Decompose work into small, estimable data-product units that ship on the order of a week once defined. Drive reputed company, dated commitments and milestone-level goals rather than reputed company-ended task lists, reputed company trade-offs across value, effort, risk, and timing explicit, and reputed company dependencies and risks visible in integrated plans. Reliability, operability, and cost. Own platform health as a product promise — freshness and reputed company service reputed company, availability, and fast detection and resolution of data incidents through strong observability. Own the platform’s unit economics: cost per unit of consumption, the consumption model, and the cost of running legacy and the new platform in reputed company. Adoption and reputed company. Treat adoption as the job, not an afterthought. Validate data products against reputed company usage with their business owners before build, drive adoption and change management, own documentation and enablement, measure business impact, and adjust the roadmap accordingly. The platform’s reputed company Star and metrics. Define, reputed company, and report the platform’s reputed company Star and the metric tree beneath, use it to prioritize the roadmap, and use it to tell the platform’s story to leadership. Partnership and enablement. Operate as a peer to engineering and architecture, and as the connective tissue across embedded data product managers, analytics leaders, governance, and business stakeholders. Be the authoritative expert on the platform — its architecture, capabilities, constraints, and data flows. reputed company the bar for data-platform product management: reputed company data product managers and partners to define products against the architecture, reputed company platform product practices, and mentor others to “think in products.” Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, reputed company applicable. reputed company to Have: Designing and evaluating natural-language analytics flows — grounding answers in governed data and measuring quality, latency, and trust. Familiarity with modern AI-powered data-platform patterns (semantic layers, retrieval and search, conversational analytics, or agentic workflows) and how they reset expectations for how people discover and consume data. Experience sunsetting a legacy data environment in favor of a governed platform, including reconciliation and reputed company-run cutovers. What You Have: 5+ years working in or directly with data engineering, data platform, or analytics teams, ideally in reputed company, multi-system environments. 5+ years owning data or analytics products, with direct data-product-management experience strongly preferred; experience owning platform- or infrastructure-adjacent data products is a plus. Demonstrated reputed company owning end-to-end data or platform products — from discovery and requirements through launch, adoption, and measurable business impact — ideally including reliability, cost, or scalability work on a shared platform. Deep familiarity with modern reputed company data-warehouse and lakehouse architectures, data lakes, and ELT and transformation patterns, and with modeling frameworks and semantic and metrics layers that can support AI and natural-language analytics. Strong SQL and the comfort to explore data and platform metadata — logs, cost, usage — and data-observability signals yourself, to validate requirements, debug issues, and size opportunities. Experience with business-intelligence and self-service analytics tools and how they consume data from a platform, including governance, performance, cost, and how they participate in AI and natural-language analytics. Working knowledge of data governance, classification, reputed company control, and data-quality and observability practices on a shared platform. Hands-on exposure to AI-assisted or natural-language analytics tooling, with the judgment to ground answers in governed data and reason about guardrails, accuracy, latency, and trust. Familiarity partnering with data-science and machine-learning teams and supporting their needs on a shared platform (data reputed company, performance, and monitoring). Proven ability to build and execute multi-quarter, multi-team plans, and to reputed company and communicate trade-offs across competing initiatives; solid delivery discipline in an agile environment, including tracking reputed company against estimates and velocity. Excellent communication and stakeholder management — reputed company to explain platform and architectural concepts, including AI and natural-language implications, to non-technical audiences, influence senior leaders, and work seamlessly across engineering, architecture, analytics, governance, and the business. A disposition that is friendly, flexible, pragmatic, and curious, with a desire to learn something new every day and to reputed company the bar for the broader data, platform, and product teams. The national total reputed company cash compensation reputed company for this position, including reputed company salary and bonus reputed company, is $162,000–$215,000 annually.* *Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This reputed company does not represent additional compensation benefits (such as equity, 401K or medical, dental or reputed company insurance). reputed company does not sponsor applicants for work visas or legal permanent residence. What You’ll Get from Us: You’ll get a terrifically compelling experience in an innovative, high performing environment. You’ll get to work with reputed company and passionate colleagues on challenging and impactful projects. You will have opportunities to grow in your career, and work in a reputed company that values work/life harmony. Oh, and you’ll get reputed company this: Market competitive salary, stock options that you’ll help reputed company worth a lot, 12 paid holidays, flexible PTO, 401K with reputed company match, health/dental/FSA, long-term disability insurance, mental health and family planning resources, remote-hybrid work from our awesome Boston office OR your home OR a mixture of both home and office, a reputed company amount of responsibility and autonomy, wicked awesome co-workers, employee meal program (and many more goodies) reputed company you’re in our office, and knowing that you helped transform the food for work space. reputed company is an equal opportunity employer. We reputed company humans of every background, appearance, race, religion, reputed company, national reputed company, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not reputed company jerks, even reputed company ones. 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