Senior Product Manager, Platform Performance & Infrastructure at SIGMA COMPUTING INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

210000.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Roadmap Ownership, Query Execution, Compute And Caching, Metadata Services, Compiler Components, Data Connectors, Latency Optimization, Concurrency Management, Throughput Improvement, Cost Efficiency, Query Lifecycle Management, Technical Depth, Distributed Systems, Query Engines, Cloud Infrastructure, Cross-Functional Partnership

Industry

Software Development

Description

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 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. This role is 4 days on-site in our San Francisco office. Key Responsibilities Own a core platform area 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. Drive execution and delivery 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. Own the query lifecycle 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. Support enterprise scale 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. Enable extensibility Contribute to the strategy and prioritization of new data connectors and platform extensions in partnership with engineering. Be a strong cross-functional partner Communicate platform priorities clearly to engineering, design, GTM, and leadership stakeholders. Represent platform tradeoffs and decisions in planning and execution forums. Measure impact Define and track success metrics related to performance, reliability, and customer experience. Use data and feedback to guide prioritization and iteration. Qualifications Product Management Experience 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. Technical Depth Strong understanding of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure. Comfortable engaging in technical discussions with engineers and understanding architectural tradeoffs. Customer-Centered Thinking Ability to connect backend platform work to customer outcomes and enterprise needs. Experience working with enterprise customers or high-scale systems is a plus. Execution-Oriented Proven ability to drive clarity, prioritize effectively, and deliver in ambiguous problem spaces. Strong judgment in making pragmatic tradeoffs. Communication & Collaboration Clear, concise communicator who can make complex topics understandable. Experience working cross-functionally with engineering, customer-facing teams, and leadership. Startup Mindset Action-oriented and adaptable, with comfort operating in a fast-moving environment. Additional Job Details The base salary range for this position is $180k – $210k 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 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. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. 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 Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). 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.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Senior Product Manager will own the product roadmap for core platform areas including query execution, compute, caching, metadata services, compiler components, and connectors, ensuring these investments directly improve workbook performance, reliability, and scalability. This involves partnering closely with engineering to drive execution, define requirements across the query lifecycle, and address platform gaps impacting large enterprise customers.