Senior Product Manager, Platform Performance & Infrastructure

Key Responsibilities

Own a Product Roadmap

• 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.

Build and Own Agent Monitoring & Platform Observability

• 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.

Drive Execution and Delivery

• 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.

Own the Query Lifecycle

• 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.

Work Closely with Customers

• 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.

Support Enterprise Scale

• 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.

Enable Extensibility

• 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.

Measure Impact

• 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

• 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.
• Experience with observability tooling, agent monitoring, or platform diagnostics is a strong plus.
• 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.

Compensation & Benefits

• Base salary range: $180k – $220k annually, plus competitive equity and benefits packages.
• This role is eligible for stock options, as well as a comprehensive benefits package.