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    Job · 18511496

    SAN FRANCISCO · FULLTIME

    Data Platform Lead

    Halluminate logo

    Halluminate

    San Francisco · onsite · Posted 32d ago

    Sourced fromY Combinator
    $200K - $275K5+ yrsfulltimeSan Francisco

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    About Halluminate Halluminate is an applied AI and data company building computer-use and tool-use RL gyms to train AI agents on real financial services work — Excel modeling, pitch decks, and everything investment banking, private equity, and hedge funds rely on. We work with frontier labs, graduated from Y Combinator (S25), and raised a seed round to scale the team. The role Base: $200–275k · Equity: 0.15–0.30% · Location: San Francisco, 5 days in office Own our data function from zero. Every RL environment we ship is built on real-world financial data — you are the person who finds it, licenses it, makes it safe to use, and gets it into the hands of the teams building on it. Ideal for data, engineering, or product leaders who want to build a function rather than inherit one. Responsibilities - Stand up the data team from scratch — you are the first hire and the owner. - Source, license, and purchase real-world financial data and artifacts — data rooms, filings, models, decks — from across the industry. - Build the anonymization and compliance pipeline that turns sensitive industry data into training-safe assets. - Build the systems that catalogue, version, and distribute data so project teams can self-serve. - Act as the internal supplier to our SPL project pods, fulfilling requests for data/tokens that are the foundation for our RL environments - Own vendor and data-provider relationships end to end, including negotiation and renewal. - Own data quality, provenance, and licensing terms — and the judgment calls about what we will and will not use. You should have - Experience building a data acquisition, licensing, or ops function — ideally one that did not exist before you arrived. - Strong engineering instincts. You will build pipelines and tooling yourself, not just manage vendors. - Product judgment about what makes data good enough for a given use case, and when to stop. - Comfort operating with no playbook, and startup speed: iterate quick, ask quick, respond quick, make mistakes quick. - Client-facing comfort — you'll work directly with project leads, vendors, and SMEs. What we offer - 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.

    Sourced from ycombinator

    Section · 02

    Skills

    negotiationexcel

    Section · Company

    About Halluminate

    Actively hiring
    Halluminate logo

    Halluminate

    Hiring

    Data and RL environments to automate knowledge work

    5

    employees

    2024

    2 years old

    San Francisco

    United States

    ₹2L – ₹2.8L PA

    This role

    About

    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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