Groq
Technical Product Marketing Manager
$154K–$209K
San Francisco, United States +2 · On-site · Manager · Full-time · Posted Jun 18, 2026
- Location
- San Francisco, United States
Dallas, United States
New York, United States - Experience
- 5-7+ years; related fields are accepted.
- Visa sponsorship
- Candidates must qualify as U.S. Persons for export control purposes or be eligible for an applicable export license. Non-U.S. postings require candidates to meet relevant export control eligibility criteria.
About the job
Build Groq’s technical marketing foundation by translating AI infrastructure and inference capabilities into competitive positioning, customer-facing assets, demonstrations, and sales enablement.
What you'll do
- Create technical marketing assets, competitive analyses, pricing and performance comparisons, presentations, and field enablement materials.
- Develop evidence-based competitive positioning and technical demonstrations highlighting performance, efficiency, scalability, and customer outcomes.
- Analyze infrastructure economics, pricing, benchmarks, and workloads; collaborate with product, engineering, sales, and leadership.
What they ask for
- 5-7+ years of experience in technical product marketing, product marketing, solutions marketing, competitive intelligence, cloud infrastructure, AI infrastructure, or related fields.
- Deep expertise in AI infrastructure, GPU platforms, cloud computing, inference workloads, infrastructure performance benchmarking, or related technical domains.
- Strong understanding of infrastructure performance metrics, benchmarking methodologies, workload optimization, pricing models, and infrastructure economics.
- Ability to create technical marketing assets independently and translate technical trade-offs into market insights and competitive positioning.
Nice to have
- Experience at AI infrastructure companies, NeoCloud providers, GPU service providers, cloud platforms, or organizations closely aligned with NVIDIA ecosystems.
Pay
$154,300 - $208,700 (total cash salary, inclusive of potential bonus value; U.S. candidates)
Tools
LPU, GPU, NeoCloud, NVIDIA
AI focus
Market and communicate AI infrastructure and inference capabilities, including technical performance, efficiency, scalability, and workload outcomes.
Model-written summary · the original posting is authoritative