{"schemaVersion":"jobsearcher.job.v1","id":"8d6c712d4b7d7a6191d07005","url":"https://jobsearcher.com/jobs/8d6c712d4b7d7a6191d07005","canonicalUrl":"https://jobsearcher.com/jobs/8d6c712d4b7d7a6191d07005","title":"Senior Product Manager, Platform Performance & Infrastructure","description":"About the Role\nSigma 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.\nAs 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.\nIn 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.\nYou'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.\nThis role is 4 days on-site in our San Francisco office.\nKey Responsibilities\nOwn a core platform area\nOwn the product roadmap for Sigma's performance and infrastructure surface area, including query execution, compute and caching, metadata services, compiler-related components, and connectors.\nEnsure platform investments directly improve workbook performance, reliability, and scalability.\nDrive execution and delivery\nPartner closely with engineering to scope, prioritize, and deliver improvements across latency, concurrency, throughput, and cost efficiency.\nBreak down complex technical initiatives into clear milestones and incremental wins.\nOwn the query lifecycle\nDefine product requirements across the query lifecycle — from generation and compilation to execution, caching, and results delivery.\nBalance tradeoffs across performance, correctness, debuggability, and cost.\nSupport enterprise scale\nIdentify platform gaps impacting large customers, high-concurrency workloads, and embedded analytics use cases.\nWork with Customer Success, Support, and Sales Engineering to understand and address real-world performance issues.\nEnable extensibility\nContribute to the strategy and prioritization of new data connectors and platform extensions in partnership with engineering.\nBe a strong cross-functional partner\nCommunicate platform priorities clearly to engineering, design, GTM, and leadership stakeholders.\nRepresent platform tradeoffs and decisions in planning and execution forums.\nMeasure impact\nDefine and track success metrics related to performance, reliability, and customer experience.\nUse data and feedback to guide prioritization and iteration.\nQualifications\nProduct Management Experience\n6+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products.\nExperience owning and delivering technically complex product areas.\nTechnical Depth\nStrong understanding of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure.\nComfortable engaging in technical discussions with engineers and understanding architectural tradeoffs.\nCustomer-Centered Thinking\nAbility to connect backend platform work to customer outcomes and enterprise needs.\nExperience working with enterprise customers or high-scale systems is a plus.\nExecution-Oriented\nProven ability to drive clarity, prioritize effectively, and deliver in ambiguous problem spaces.\nStrong judgment in making pragmatic tradeoffs.\nCommunication & Collaboration\nClear, concise communicator who can make complex topics understandable.\nExperience working cross-functionally with engineering, customer-facing teams, and leadership.\nStartup Mindset\nAction-oriented and adaptable, with comfort operating in a fast-moving environment.\n\nAdditional Job Details\nThe base salary range for this position is $180k – $210k annually, plus competitive equity and benefits packages.\nCompensation 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.\nAbout us:\nSigma 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.\nSigma 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.\nCome join us!\nBenefits For Our Full-Time Employees:\nEquity\nGenerous health benefits\nFlexible time off policy. Take the time off you need!\nPaid bonding time for all new parents\nTraditional and Roth 401k\nCommuter and FSA benefits\nLunch Program\nDog friendly office\nSigma 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.\nNote: We have an in-office work environment in all our offices in SF, NYC, and London.\nOur Privacy Practices\nWhen 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).\nSigma's use of AI\nThis 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.","company":"Sigma Computing","rawCompany":"sigma computing","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:11:46.979Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Product Manager, Platform Performance & Infrastructure","description":"About the Role\nSigma 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.\nAs 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.\nIn 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.\nYou'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.\nThis role is 4 days on-site in our San Francisco office.\nKey Responsibilities\nOwn a core platform area\nOwn the product roadmap for Sigma's performance and infrastructure surface area, including query execution, compute and caching, metadata services, compiler-related components, and connectors.\nEnsure platform investments directly improve workbook performance, reliability, and scalability.\nDrive execution and delivery\nPartner closely with engineering to scope, prioritize, and deliver improvements across latency, concurrency, throughput, and cost efficiency.\nBreak down complex technical initiatives into clear milestones and incremental wins.\nOwn the query lifecycle\nDefine product requirements across the query lifecycle — from generation and compilation to execution, caching, and results delivery.\nBalance tradeoffs across performance, correctness, debuggability, and cost.\nSupport enterprise scale\nIdentify platform gaps impacting large customers, high-concurrency workloads, and embedded analytics use cases.\nWork with Customer Success, Support, and Sales Engineering to understand and address real-world performance issues.\nEnable extensibility\nContribute to the strategy and prioritization of new data connectors and platform extensions in partnership with engineering.\nBe a strong cross-functional partner\nCommunicate platform priorities clearly to engineering, design, GTM, and leadership stakeholders.\nRepresent platform tradeoffs and decisions in planning and execution forums.\nMeasure impact\nDefine and track success metrics related to performance, reliability, and customer experience.\nUse data and feedback to guide prioritization and iteration.\nQualifications\nProduct Management Experience\n6+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products.\nExperience owning and delivering technically complex product areas.\nTechnical Depth\nStrong understanding of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure.\nComfortable engaging in technical discussions with engineers and understanding architectural tradeoffs.\nCustomer-Centered Thinking\nAbility to connect backend platform work to customer outcomes and enterprise needs.\nExperience working with enterprise customers or high-scale systems is a plus.\nExecution-Oriented\nProven ability to drive clarity, prioritize effectively, and deliver in ambiguous problem spaces.\nStrong judgment in making pragmatic tradeoffs.\nCommunication & Collaboration\nClear, concise communicator who can make complex topics understandable.\nExperience working cross-functionally with engineering, customer-facing teams, and leadership.\nStartup Mindset\nAction-oriented and adaptable, with comfort operating in a fast-moving environment.\n\nAdditional Job Details\nThe base salary range for this position is $180k – $210k annually, plus competitive equity and benefits packages.\nCompensation 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.\nAbout us:\nSigma 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.\nSigma 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.\nCome join us!\nBenefits For Our Full-Time Employees:\nEquity\nGenerous health benefits\nFlexible time off policy. Take the time off you need!\nPaid bonding time for all new parents\nTraditional and Roth 401k\nCommuter and FSA benefits\nLunch Program\nDog friendly office\nSigma 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.\nNote: We have an in-office work environment in all our offices in SF, NYC, and London.\nOur Privacy Practices\nWhen 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).\nSigma's use of AI\nThis 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.","datePosted":"2026-04-14T11:11:46.979Z","dateModified":"2026-04-14T11:11:46.979Z","hiringOrganization":{"@type":"Organization","name":"Sigma Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8d6c712d4b7d7a6191d07005"},"url":"https://jobsearcher.com/jobs/8d6c712d4b7d7a6191d07005"}}