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Member of Technical Staff - Forward Deployed Engineer

Halluminate· Engineering
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San Francisco$215k - $275k + equityFull-timePosted 2mo ago

About the role

Role focused on direct customer engagement to translate requirements into RL environments and tooling, with 0→1 work to prototype and ship customer-specific environments, supporting revenue and frontier intelligence scaling.

Responsibilities

  • Work directly with frontier AI labs and enterprise customers to understand requirements and what they need from an RL environment
  • Translate customer requirements into concrete technical specs our platform and project pods can build against
  • Build 0→1 — prototype, ship, and iterate on customer-specific environments and tooling before any of it becomes a platform feature
  • Use and extend our internal platforms and dev tooling rather than rebuilding them
  • Embed with SPL project pods to unblock delivery: integration, technical debugging, and the last-mile problems that decide whether a project lands
  • Feed patterns back to the platform team so one-off solutions become reusable capability
  • Own technical credibility in customer conversations, from scoping through delivery

Qualifications

  • 2+ years of experience in consulting or forward-deployed engineering roles for large enterprises with custom software, systems, and requirements
  • Strong engineering ability paired with genuine comfort interacting directly in front of customers
  • A track record of 0→1 work: shipping something that did not exist, under ambiguity, without waiting for a spec
  • The ability to translate fuzzy customer language into technical requirements, and technical constraints back into plain terms
  • Startup speed: iterate quick, ask quick, respond quick, make mistakes quick
  • Experience building evals, environments, and benchmarks for AI Agents

Skills

Required:Consulting / Forward-Deployed Engineering experienceCustomer-facing communication0→1 product developmentRequirements translationAI Agents evals/environments/benchmarks

Benefits

  • Healthcare — Fully covered medical, dental, and vision for you. Subsidized for dependents.
  • Relocation — $10k+ relocation stipend to help you get to San Francisco.
  • 401(k) — Up to 4% employer match.
  • Food — Free breakfast, lunch, and dinner while working.
  • Health — Free gym membership.
  • Transportation — Free Ubers and Waymo rides to and from the office.
  • Visa sponsorship — We sponsor visas, including H-1B.
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Halluminate

Data and RL environments to automate knowledge work

We help foundation model labs and enterprises train computer use AI with data and sandboxes. A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value. Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources: 1) High quality datasets for benchmarking and evaluations 2) Realistic sandbox environments for safe and accurate testing/training (ex. a simulated version of Salesforce) Halluminate offers a suite of products and services to address both these issues. Our evaluation service combines proprietary datasets with high quality annotations to help our customers identify and prioritize the biggest failure modes of their computer- and browser- use AI. Our platform provides a catalog of fully managed sandboxes, empowering our customers to safely and accurately test/train at scale, resulting in improved performance. Our customers see - Improved browser- and computer-use agent performance - New and emergent frontier agent capabilities - Data driven prioritization leading to exponentially faster development speed - Increased revenue/sales via marketing from public benchmarks Our paying customers already include leading computer use model labs and the two largest browser agent companies in the space. Wyatt and Jerry are friends that met their first week of school studying CS at Cornell University. They’ve been working and studying together for 7+ years.

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