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.
SigmaSan Francisco, CA
