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Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. As Sigma scales to support larger enterprises and more demanding workloads, we’re looking for a Senior Product Manager, Platform Performance & Infrastructure to own critical backend capabilities that power every Sigma experience. In this role, you will be responsible for defining and delivering product improvements across workbook performance, query lifecycle, compute and caching, metadata services, compiler components, and new warehouse connectors. These systems are foundational to Sigma’s ability to scale reliably and deliver fast, predictable performance for enterprise customers. You’ll work closely with platform engineering teams and cross-functional partners to translate performance and scalability challenges into clear product priorities and shipped outcomes. This role is ideal for a technically strong Senior PM who enjoys working deep in the stack while staying grounded in customer impact.
Job Responsibility:
Own the product roadmap for Sigma’s performance and infrastructure surface area, including query execution, compute and caching, metadata services, compiler-related components, and connectors
Ensure platform investments directly improve workbook performance, reliability, and scalability
Partner closely with engineering to scope, prioritize, and deliver improvements across latency, concurrency, throughput, and cost efficiency
Break down complex technical initiatives into clear milestones and incremental wins
Define product requirements across the query lifecycle — from generation and compilation to execution, caching, and results delivery
Balance tradeoffs across performance, correctness, debuggability, and cost
Identify platform gaps impacting large customers, high-concurrency workloads, and embedded analytics use cases
Work with Customer Success, Support, and Sales Engineering to understand and address real-world performance issues
Contribute to the strategy and prioritization of new data connectors and platform extensions in partnership with engineering
Communicate platform priorities clearly to engineering, design, GTM, and leadership stakeholders
Represent platform tradeoffs and decisions in planning and execution forums
Define and track success metrics related to performance, reliability, and customer experience
Use data and feedback to guide prioritization and iteration
Requirements:
6+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products
Experience owning and delivering technically complex product areas
Strong understanding of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure
Comfortable engaging in technical discussions with engineers and understanding architectural tradeoffs
Ability to connect backend platform work to customer outcomes and enterprise needs
Experience working with enterprise customers or high-scale systems is a plus
Proven ability to drive clarity, prioritize effectively, and deliver in ambiguous problem spaces
Strong judgment in making pragmatic tradeoffs
Clear, concise communicator who can make complex topics understandable
Experience working cross-functionally with engineering, customer-facing teams, and leadership
Action-oriented and adaptable, with comfort operating in a fast-moving environment
Nice to have:
Experience working with enterprise customers or high-scale systems