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 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.

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 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 our Product team grows, we’re looking for a Group PM for AI apps. In this high-impact role, you’ll define the vision, strategy, and roadmap for a brand-new 0→1 product - empowering our non technical builders to vibe code Sigma AI applications to deliver high quality AI first experiences . You'll be at the forefront of innovation, working hand-in-hand with customers to build something they’ll truly love at the same time accelerate adoption and engagement of AI apps.

You’ll have direct exposure to Sigma’s executive leadership and partner closely with our go-to-market, engineering, and design teams to launch a category-defining product. This is your chance to join a successful, fast-growing company on one of the most influential teams in the Product organization.

This role is 4 days on-site in our San Francisco office. 

Key Responsibilities

• Shape the vision: Help shape  the strategy and roadmap for AI Apps, rally leadership around your vision, and keep the entire organization aligned and inspired.
• Deliver excellence at startup speed: Work hand-in-hand with world-class design and engineering teams to move fast, build iteratively, and launch exceptional products that wow our customers.
• Own and shape the AI app builder: Own the vision for AI app builder that allows customers to build powerful applications and workflows through a natural language interface
• Define growth in the context of AI apps: Establish growth for AI apps with the goal to supercharge adoption and increase engagement across the entire customer base through growth initiatives including self service.
• Be the voice of the customer: Dive deep into customer needs and business goals, and turn those insights into product experiences that truly make a difference.
• Power our go-to-market success: Collaborate across Customer Success, Sales, and Marketing to craft a seamless and impactful GTM strategy.
• Build, learn, and evolve: Lead your team through rapid build-test-launch cycles, with a focus on quick iteration, smart learning, and continuous improvement.

Qualifications

• Product Management skills: Experience: 8+ years of product management experience, building great products  in a B2B SaaS environment with a focus on BI, data analytics, data prep and transformation, or other relevant fields
• Technical Chops: Deep understanding of databases, data infrastructure, APIs, and security. Hands-on experience with data modeling or technical platforms is highly valued.
• Go-to-Market Expertise: Strong grasp of B2B GTM motions, with a proven track record of working closely and effectively with Sales, Customer Success, and Marketing teams.
• Design Instincts: A passion for intuitive UX — and experience partnering tightly with design teams to deliver products that feel effortless and delight users.
• Clarity and execution: Ability to craft clear product definitions and drive them through actionable roadmaps.
• Exceptional Communicator: Skilled at making complex ideas simple — whether you’re talking to engineers, executives, or customers.
• Cross-Functional Leader: Experienced at rallying teams, managing stakeholders, and keeping momentum high in fast-moving environments.
• Startup DNA: Action-oriented, resourceful, and adaptable - you’re energized by change and ready to roll up your sleeves to make things happen.

Additional Job details

The base salary range for this position is $240k - $260k 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 that is 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.