Senior Product Manager, Platform Performance & Infrastructure

About the Role

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 the foundational backend capabilities that power every Sigma experience — from query execution and caching to agent infrastructure, observability, and platform extensibility.

In this role, you will own a clearly defined product roadmap and drive it end-to-end — setting the vision, sequencing priorities, and delivering outcomes across workbook performance, query lifecycle, compute and caching, metadata services, compiler components, agent monitoring, platform observability, and new warehouse connectors. You'll be a deeply embedded partner to platform engineering while staying closely connected to customers, translating real-world enterprise pain points into platform investments that scale.

This role is ideal for a technically strong Senior PM who is equally comfortable diving deep into infrastructure tradeoffs and sitting across the table from enterprise customers to understand their most pressing performance challenges.

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 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.

Additional Job Details

The base salary range for this position is $180k – $220k annually, plus competitive equity and benefits packages.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the Total Package provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About us:

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.

Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Come join us!

Benefits For Our Full-Time Employees:

Equity

Generous health benefits

Flexible time off policy. Take the time off you need!

Paid bonding time for all new parents

Traditional and Roth 401k

Commuter and FSA benefits

Lunch Program

Dog friendly office

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.

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Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.