Member of Technical Staff (Commercial) - Tech/Start Up track

Artificial Analysis•San Francisco, CA

16h•Onsite

About The Position

Artificial Analysis is the leading independent AI benchmarking company, supporting labs, engineers, and enterprises in understanding AI capabilities and making critical decisions about their AI strategies. Our benchmarks are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs and major publications. We are a growing team backed by industry leaders. This role is a client-facing product role, not a pure go-to-market or traditional sales role, focused on owning client relationships end-to-end with frontier AI companies. It requires becoming an expert in AI and AI benchmarking, holding methodology conversations with sophisticated AI teams, and ensuring first-class delivery of services. Approximately 80% of the time will be client work, with the remaining 20% dedicated to hands-on product and technical work within the benchmarking team. A key aspect of this role is safeguarding the independence of benchmark results from commercial influence.

Requirements

Candidates from client-facing product and technical roles at top technology companies (not pure go-to-market profiles).
Backgrounds include client-facing product roles, Forward Deployed Engineering, Technical Pre-Sales, Sales Engineering, or Solutions Architecture at companies like Stripe, Vercel, Datadog, Databricks, Scale AI, Hugging Face, OpenAI, Anthropic, or comparable high-bar startups.
3+ years of experience in client-facing technical roles.
Proven experience owning client relationships around a technical product.
Ability to hold a technical room, get into product detail, and translate a sophisticated product into valuable commitments.
Desire to be closer to frontier AI than a conventional GTM role allows, with real product work as part of the job.
3+ years in a leading tech startup, with strong preference for existing AI company experience.
Proven client ownership: led engagements, been the primary client contact, navigated commercial terms, and managed relationships through difficult moments.
Analytical mindset with an instinct to delve into details.
Genuine, demonstrable interest in frontier AI, with informed opinions about AI's direction.
Exceptional written and verbal communication skills.
High responsiveness and full ownership of accounts.

Nice To Haves

Working proficiency in Python.
Technical background (degree in computer science, engineering, mathematics, or related field, or hands-on experience with ML systems).
Prior exposure to AI or ML (professionally, through research, or side projects).
Experience at an early-stage company or in a role without an established playbook.
Familiarity with the AI infrastructure landscape (inference providers, hardware, agent frameworks).
Fluency in Mandarin.

Responsibilities

Partner directly with the teams building frontier AI (labs, hardware companies, enterprises) as their primary relationship at Artificial Analysis.
Ramp into deep expertise in AI and AI benchmarking by working with product and technical teams, running benchmarks, and building industry knowledge.
Own the client front door: field inbound requests, including pre-release model benchmarking, and provide timely solutions.
Advise and support clients in interpreting their benchmark results in context.
Grow the business end-to-end, from initial outreach through to closing deals, with senior support on commercial terms.
Own accounts through their full lifecycle, including renewals, escalations, and business reviews.
Ensure successful delivery of benchmark runs, custom analysis, and all client commitments.
Contribute directly to product and technical work within your pillar, including evaluation reviews and analysis (approximately 20% of time).
Embrace an AI-native workflow, utilizing cutting-edge AI tools.