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Job Summary:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. They are seeking a Senior Product Manager, Platform Performance & Infrastructure to drive the product roadmap and enhance backend capabilities that power Sigma's platform, focusing on performance, observability, and customer needs.
Responsibilities:
• Define and own the multi-quarter product roadmap for Sigma's platform performance and infrastructure surface area, including query execution, compute and caching, metadata services, compiler-related components, agent infrastructure, and connectors.
• Set a clear vision for the platform that balances near-term enterprise needs with long-term scalability investments.
• Rally engineering, design, and GTM stakeholders around a shared roadmap and communicate progress and tradeoffs clearly to leadership.
• Make active prioritization calls across competing platform investments, clearly articulating the reasoning and expected customer impact behind sequencing decisions.
• Define the strategy and roadmap for agent monitoring capabilities, enabling customers and internal teams to observe, debug, and optimize AI agent behavior within Sigma's platform.
• Own platform observability infrastructure — including logging, tracing, alerting, and diagnostic tooling — ensuring Sigma's platform surfaces actionable insights to both engineering teams and enterprise customers.
• Partner with engineering and Customer Success to translate observability gaps into shipped product improvements.
• Build the foundation for enterprise-grade reliability visibility, giving customers confidence in how their workloads are running on Sigma at scale.
• Partner closely with engineering to scope, prioritize, and ship improvements across latency, concurrency, throughput, and cost efficiency.
• Break down complex technical initiatives into clear milestones and incremental wins.
• Maintain momentum in ambiguous, fast-moving environments with strong judgment on tradeoffs.
• Own delivery accountability end-to-end — from problem definition through scoping, execution, launch, and iteration.
• Define product requirements across the full query lifecycle — from generation and compilation to execution, caching, and results delivery.
• Balance tradeoffs across performance, correctness, debuggability, and cost.
• Identify bottlenecks in the query pipeline and work with engineering to drive measurable improvements in latency and throughput.
• Engage directly and regularly with enterprise customers to surface performance pain points, validate roadmap priorities, and co-develop solutions for high-scale use cases.
• Partner with Customer Success, Support, and Sales Engineering to translate field feedback into product requirements.
• Act as an internal advocate for customer needs within platform planning and prioritization forums.
• Build strong relationships with key enterprise accounts and use those relationships to continuously pressure-test and sharpen the platform roadmap.
• Identify platform gaps impacting large customers, high-concurrency workloads, and embedded analytics use cases.
• Work across teams to address real-world reliability, latency, and scalability challenges at enterprise scale.
• Proactively surface and address platform risks before they become customer-facing issues.
• Contribute to the strategy and prioritization of new data connectors and platform extensions in partnership with engineering.
• Identify integration opportunities that expand Sigma's reach across the modern data stack.
• Define and track success metrics related to performance, reliability, observability, and customer experience.
• Use data and customer feedback to guide continuous prioritization and iteration.
• Establish a regular cadence of sharing platform health metrics with engineering, GTM, and leadership stakeholders.
Qualifications:
Required:
• 4+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products.
• Demonstrated experience owning and delivering a product roadmap end-to-end across technically complex areas.
• Strong understanding of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure.
• Proven track record of working directly with enterprise customers to understand needs and translate them into product decisions.
• Clear, concise communicator who can make complex backend topics understandable to engineering, customers, and executives alike.
• Ability to connect backend platform investments to tangible customer outcomes and business value.
• Action-oriented, adaptable, and energized by working in a fast-moving startup environment.
Preferred:
• Experience with observability tooling, agent monitoring, or platform diagnostics is a strong plus.
Company:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Founded in 2014, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.