Sr. Staff Technical Product Manager

Groq; San Francisco (CA); Remote; USD 310,000 - 365,000; Full time

Job summary

Groq is seeking a Sr. Staff Product Manager to own strategy and execution for critical areas of the AI Inference Platform.

You will translate customer needs and technical constraints into specifications and roadmaps, collaborating with Engineering and cross-functional teams to deliver scalable, reliable platform capabilities. You will drive customer discovery with enterprise AI customers and developers, define success metrics, and shape cloud capabilities and developer workflows to turn complex

Qualifications

• 10+ years of Product Management experience, including at least 5 years leading highly technical platform, infrastructure, or cloud products.
• Strong understanding of distributed systems, cloud infrastructure, APIs, Kubernetes, observability, platform reliability, capacity planning, and multi-region architectures.
• Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.

Responsibilities

• Drive hands-on product definition and delivery for Groq's AI Inference Platform from concept to launch and continuous improvement.
• Partner with Engineering, Platform and cross-functional teams to deliver scalable, reliable platform capabilities.
• Lead customer discovery with enterprise AI customers and developers to understand workloads and deployment needs; measure adoption and reliability to drive improvements.

Skills

Product Management

Cloud Infrastructure

Distributed Systems

AI Inference

Stakeholder Leadership

Cross-functional

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Cloud APIs

Job description

Mission

Help shape the future of AI inference by building the platform capabilities that enable developers and enterprises to bring AI applications to life at scale. As a Sr. Staff Product Manager, you'll own product strategy and execution for critical areas of Groq's AI Inference Platform, turning complex infrastructure challenges into scalable, reliable, and intuitive product experiences. You'll work at the intersection of AI infrastructure, cloud technology, and distributed systems, partnering closely with Engineering and cross-functional teams to define what we build and drive it from concept to delivery. This is an opportunity to influence product direction across the platform, and take hands-on ownership of products that make high-performance AI inference more accessible to customers.

Location

This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area. The person hired for this role must be based in one of these three areas. You'll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens.

Responsibilities & Opportunities In This Role

• Drive hands-on product definition and delivery, translating customer needs, technical constraints, and business priorities into detailed specifications, feature requirements, success metrics, and execution plans from concept through launch and continuous improvement.
• Bring deep AI infrastructure and cloud platform expertise to complex platform initiatives, contributing to technical specifications, architecture discussions, and roadmap priorities across multiple product workstreams.
• Partner closely with Platform Engineering, Distributed Systems, Cloud Infrastructure, Reliability Engineering, Hardware Engineering, and customer-facing teams to deliver scalable, reliable, and customer-centered platform capabilities.
• Partner with engineering leadership to navigate technical tradeoffs and balance customer impact, technical investments, platform scalability, and long-term architectural evolution.
• Shape customer-facing cloud capabilities, including inference APIs, developer workflows, and platform experiences, that turn complex infrastructure into services that are easy to adopt, deploy, and scale.
• Define and prioritize internal platform investments across cloud infrastructure, resource management, observability, and platform optimization to improve scalability, reliability, operational efficiency, and infrastructure utilization.
• Lead customer discovery with enterprise AI customers and developers to understand inference workloads, deployment workflows, performance expectations, operational challenges, and emerging infrastructure needs.
• Measure product adoption, customer experience, and platform performance using customer feedback, telemetry, and operational metrics to continuously improve customer outcomes.
• Collaborate with Sales, Solutions Engineering, Customer Success, and Marketing to support product launches, customer adoption, and go-to-market initiatives.
• Monitor the evolving AI inference and cloud infrastructure landscape to identify emerging technologies, customer needs, and opportunities for product differentiation.
• Communicate product strategy, roadmap, priorities, risks, and progress to executive leadership and cross-functional stakeholders.

Ideal Candidates Have/are

• 10+ years of Product Management experience, including at least 5 years leading highly technical platform, infrastructure, or cloud products.
• Deep domain expertise and demonstrated ownership of technically complex products in AI inference, cloud infrastructure, or related environments such as inference engines, LLM serving platforms, neoclouds, or AI cloud services.
• Strong understanding of distributed systems, cloud infrastructure, APIs, Kubernetes, observability, platform reliability, capacity planning, and multi-region architectures.
• Proven ability to independently define and deliver complex technical products, including developing specifications, prioritizing features, and driving execution with engineering teams.
• Strong technical judgment and a track record of partnering with senior engineering leaders to translate customer needs into product strategy, influence architectural decisions, and deliver scalable infrastructure capabilities.
• Highly self-directed and comfortable navigating ambiguity, making decisions, and driving progress with minimal oversight.
• Strong analytical and problem-solving skills with a data-driven approach to prioritization and decision-making.
• Excellent written and verbal communication skills, with the ability to influence engineering teams, cross-functional stakeholders, and executive leadership.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred Experience Includes

• Familiarity with infrastructure utilization, fleet scheduling, capacity forecasting, cloud economics, and platform operations.
• Experience with consumption-based cloud services for enterprise customers, AI accelerators, or hardware and system bring-up.

Why Join Us

• Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
• Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
• Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
• Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
• Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.

If this sounds like you, we’d love to hear from you!

Compensation

Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary range for this position, which is inclusive of the potential bonus value, is $310,400 - $365,200, with individual placement determined by your geographic location, experience, skills, and alignment with internal compensation standards. This range is specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.