Help shape the future of AI inference by building platform capabilities that enable developers and enterprises to bring AI applications to life at scale.
Locations (3)
Dallas, Texas, United States
San Francisco, California, United States
New York City, New York, United States
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 - $365200, 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.
Responsibilities
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‑centric 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.
Requirements
Bachelor's degree in Computer Science, Engineering, or related technical field
Lead end‑to‑end software and AI engineering delivery across strategic digital platforms, build and scale in‑house product development, drive DevOps enablement, and industrialise AI solutions.
Responsibilities
Lead end‑to‑end software and AI engineering delivery
Build and lead in‑house product development
Drive agile delivery at scale
Drive DevOps enablement, CI/CD and automation
Ensure stability, performance and scalability of middleware and integration services
Requirements
Bachelor's degree in Computer Science, Software Engineering, Engineering, Information Technology or related discipline
Lead the design, delivery, and operation of Domino’s enterprise data platforms and engineering capabilities, driving data strategy, architecture, and operational excellence.
Responsibilities
Define and evolve the enterprise data platform, engineering, and operations strategy
Develop and manage a multi-year roadmap aligned to business priorities and technology modernization goals
Drive a data-as-a-product culture focused on trusted, reusable, and business-aligned data assets
Serve as a trusted advisor to senior business and technology leaders on data platform investments and capabilities
Establish goals, operating metrics, and performance measures that drive continuous improvement and business value
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field
The Platform Engineering II is a lead individual contributor responsible for driving the development, maintenance, and optimization of platform infrastructure and services.
Compensation
Pay Rate Range: $45.45 - 49.24/hr.
Responsibilities
Drive development, maintenance, and optimization of platform infrastructure and services
Take ownership of significant platform initiatives
Lead design efforts for new features
Mentor junior engineers
Evolve platform reliability, efficiency, and security
Lead product strategy and roadmap for marketing technology capabilities to drive growth and member engagement.
Compensation
$176,000—$244,000 USD
Responsibilities
Own product strategy and roadmap for marketing technology capabilities
Partner closely with Marketing to translate growth opportunities into scalable product and platform capabilities
Work deeply with Engineering to define technical requirements and build reliable systems
Partner with Analytics and Data to define success metrics and measure incremental impact
Build and evolve capabilities across audience segmentation, lifecycle orchestration, personalization, experimentation, measurement, and marketing data activation
Responsible for the operational excellence, reliability, and continuous improvement of enterprise data platforms built on Snowflake and cloud technologies.
Responsibilities
Administer and support Snowflake environments across production, QA, development, and DR
Manage platform configurations, operational processes, and environment health
Ensure platform availability, scalability, reliability, and performance
Support mission‑critical business operations
Implement and maintain governance, access controls, and platform standards
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