Go-To-Market Engineer

Note: We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team!

The Role

Arena Intelligence, the leading open AI evaluation platform redefining how the world’s most advanced AI labs measure model performance, is seeking a GTM Engineer to build and scale the systems, workflows, and technical GTM motions that power our growth across the AI ecosystem.

This is a high-impact, hybrid role at the intersection of go-to-market strategy, technical implementation, and business development. You will work closely with Business Development leadership, Product, and Model Labs to design and operationalize scalable GTM motions—supporting both internal growth infrastructure and external partnerships with leading AI labs.

You will act as the connective layer between technical product capabilities and revenue generation, enabling more efficient outbound/inbound systems, improving pipeline quality, and supporting high-leverage relationships with frontier model labs.

What You’ll Own

Model Lab Partnerships & Technical GTM Execution

• Partner with Business Development and Product teams to support and expand relationships with leading global model labs

• Design and operationalize GTM workflows tied to model release cycles, evaluation launches, and product rollouts

• Serve as a technical GTM counterpart in lab engagements—translating product capabilities into clear value for research, engineering, and applied teams

• Support co-marketing initiatives, evaluation launches, and ecosystem campaigns with labs

• Build lightweight systems and processes to track usage, engagement, and expansion signals across lab accounts

GTM Systems & Pipeline Infrastructure

• Design, build, and iterate on outbound and inbound GTM systems (sequencing, enrichment, routing, and tracking)

• Identify and prospect high-value organizations needing model evaluation infrastructure, using data-driven targeting approaches

• Own inbound qualification workflows and improve lead routing, scoring, and response systems

• Support pipeline development through technical discovery, qualification frameworks, and signal capture

• Build internal tools, dashboards, or automations to improve CRM hygiene, pipeline visibility, and forecasting accuracy

Experimentation & Growth Engineering

• Run GTM experiments across outbound messaging, targeting strategies, and campaign structures

• Develop and iterate on repeatable growth playbooks for different segments (model labs, infra companies, enterprise AI teams)

• Instrument and analyze funnel performance, identifying bottlenecks and opportunities for optimization

• Contribute to scaling outbound systems and improving conversion across the GTM funnel

Cross-Functional Collaboration & Market Intelligence

• Work closely with Product, Engineering, and Marketing to align GTM execution with technical capabilities and roadmap

• Translate customer and partner feedback into actionable insights for product and GTM strategy

• Help shape positioning and messaging grounded in real-world usage and technical differentiation

• Act as a bridge between technical stakeholders (researchers, engineers) and commercial teams

What You’ll Bring

• 1–4 years of experience in an engineering role (ideally working on internal tooling) or a Sales Engineering role within a technical environment (AI, infrastructure, SaaS, developer tools, etc.)

• Strong interest in the AI ecosystem, with familiarity in concepts such as training vs. inference, RLHF, benchmarking, and model evaluation

• Comfort working with data, tools, and systems (CRM, enrichment tools, automation workflows, basic scripting is a plus)

• High ownership mindset with the ability to build and iterate in ambiguous, fast-moving environments

• Strong communication skills, with the ability to engage both technical and non-technical stakeholders

• Systems thinking: ability to design scalable processes rather than just execute tasks

Nice to Have

• Experience building or operating GTM systems (e.g., outbound tooling, lead scoring, automation, growth infrastructure)

• Experience working with or selling into AI labs, research orgs, or technical buyers

• Familiarity with tools like Salesforce, HubSpot, Clay, Apollo, Segment, or similar

• Basic technical skills (SQL, Python, APIs) for building lightweight GTM workflows

Benefits

• Comprehensive health, dental, vision, and additional support programs.

• The opportunity to work on cutting-edge AI with a small, mission-driven team.

• A culture that values transparency, trust, and community impact.

• Visa sponsorship available.

About Our Client:

Arena Intelligence is redefining what "better" means in AI. Built by researchers from UC Berkeley's SkyLab and backed by Felicis, Andreessen Horowitz, Kleiner Perkins, Lightspeed, and the University of California, this open evaluation platform has become the definitive source for understanding how AI models actually perform in the real world.

With over a million daily users and the trust of every major AI lab — including OpenAI, Google, and Anthropic — their crowdsourced benchmarks and human preference data power the decisions shaping the future of artificial intelligence. Their leaderboards aren't just influential; they're the industry standard.

Behind the platform is a team of researchers, engineers, and builders from UC Berkeley, Google, Stanford, DeepMind, and beyond — people who seek truth, move fast, and care deeply about craftsmanship and impact. They're building a company where deep expertise meets curiosity, and where the work genuinely matters.