Senior Product Manager, Platform Performance & Infrastructure

Sigma Computing•San Francisco, CA

12h•$180,000 - $220,000•Onsite

About The Position

Sigma is seeking a Senior Product Manager, Platform Performance & Infrastructure to own the foundational backend capabilities that power every Sigma experience. This role involves defining and driving a product roadmap for query execution, caching, agent infrastructure, observability, and platform extensibility. The ideal candidate will be technically strong, comfortable with infrastructure tradeoffs, and adept at understanding customer performance challenges. You will set the vision, prioritize, and deliver outcomes across various platform components, working closely with platform engineering and customers to translate real-world pain points into scalable investments.

Requirements

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.
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.

Nice To Haves

Experience with observability tooling, agent monitoring, or platform diagnostics is a strong plus.

Responsibilities

Define and own the multi-quarter product roadmap for Sigma's platform performance and infrastructure, including query execution, compute and caching, metadata services, compiler 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.
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.
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.
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.
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.
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.
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.
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.