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GTM Associate - San Francisco

hud

San Francisco, CAFull-time$80–130K/yrPosted todayStill listed today

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At a glance

Compensation
$80–130K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Visa required • Visa sponsorship

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

HUD is seeking a GTM generalist for its San Francisco commercial team. The role spans sales development, hiring, GTM operations, partnerships and cross-functional projects, with scope expected to evolve as the company grows. The associate will lead the SDR team and work with commercial teammates and founders, using AI thoughtfully to automate workflows. HUD prioritizes technical aptitude and learning potential over years of experience.

Skills & qualifications

RequiredNice to have

Skills

Sales Development, nice to haveTarget Ownership, nice to haveTraining and Coaching, nice to haveOrganization, nice to haveJudgment, nice to havePrioritization, nice to haveSpoken English, nice to haveWritten English, nice to haveStartup Experience, nice to haveHiring, nice to haveContractor Management, nice to haveRemote Team Management, nice to haveAI Workflow Automation, nice to haveClay, nice to haveApollo, nice to haveInterest in AI and Data, nice to have

Qualifications

2+ Years GTM Experience, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match

Full job description

About HUD HUD's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs. About the role We’re looking for a GTM generalist to join our San Francisco team. You’ll work closely with the commercial team across sales development, hiring, GTM operations and special projects. This role covers several things at once, and its scope will change as HUD’s needs change. Today that includes running our Sales Development team, who persuade businesses and individuals to list useful data on HUD, and helping us hire them. Over time it may lean more towards sales, operations, partnerships or something new, depending on where you can have the most impact. Responsibilities This role is intentionally broad and will change depending on the company’s needs, but the focus of your first 3-6 months may include (but is not limited to):

  • Run the day-to-day of the SDR team: set outreach and listing targets, run stand-ups, review calls and messages, and give regular feedback.

  • Co-own SDR hiring and onboarding: screen applicants, run work trials, and onboard new starters with product training, scripts and tools.

  • Own GTM operations: keep the CRM, pipeline data, playbooks and tools in good shape, and send a weekly update on outreach and listings.

  • Turn current buyer demand into outreach priorities, working with the commercial team.

  • Support deals and partnerships where needed, from preparing materials to coordinating handoffs with senior teammates.

  • Take on cross-functional projects with the founders, turning open-ended questions into clear recommendations and simple, scalable systems.

  • Help with San Francisco-based GTM activity such as events, community meetups and local partners.

  • Active but thoughtful use of AI to automate as much of the above as possible.

Experience You may be a good fit if you have:

  • 2–3 years in a GTM role such as sales development, business development, sales or revenue operations, or a startup generalist role.

  • Experience owning targets or outcomes, and a track record of hitting them.

  • Experience training, coaching or leading others, formally or informally.

  • Strong organisation and judgement to prioritise competing demands and keep commitments on track.

  • Clear spoken and written English, and comfort moving between hands-on work and bigger-picture questions.

Strong candidates may also have:

  • Early-stage startup experience, especially in a role that changed shape as the company grew.

  • Experience hiring or managing contractors or remote team members.

  • Experience using AI or tools such as Clay or Apollo to automate workflows, not just for research.

  • Interest in AI and data.

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria. Team & company details You’ll work with HUD’s commercial team and the founders, and lead our SDRs. Senior teammates will support technical assessments, pricing discussions and contract questions.

  • Team Size: ~35 people currently, mostly full-time in-person, but some remote.

  • Our team: Our team brings together five International Olympiad medalists across IOI, ILO and IPhO, researchers published at NeurIPS and ICLR, and engineers and researchers from Google DeepMind, Amazon, AWS, Meta, Qwen, GLM, and Mercor. It also includes operators from BCG and Uber, the first security hire at one of the largest crypto exchanges, serial AI startup founders, former quant researchers, artists and the former #1 ranked Catan player in the world.

  • Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.

Logistics

  • Employment: Full-time.

  • Location: San Francisco-based, in our Union Square office.

  • Time Zone: Pacific Time business hours, with some calls overlapping Singapore.

  • Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.

  • Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.

What we offer

  • Competitive compensation

  • 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)

  • Lunch and dinner for in-office employees

  • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays

  • 401k with a 4% match

  • Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)

  • Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

  • Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place

  • Annual travel budget to visit either office

Compensation San Francisco-based | Full-time | USD 80,000–130,000 annual OTE The range is annual total pay at target, including performance-related pay earned by meeting goals. Your offer will specify the base salary and performance-pay split. Apply with your CV and a short note about the most varied role you’ve had, and a target or outcome you owned. Due to high volume, we may not actively respond to every application, but feel free to contact us at [email protected] or elsewhere if we missed your application!

How this job compares

Set against the 766 open Go-to-Market jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This posting$80–130K/yr
  • California median$163–230K/yr166 salary ranges
  • US median$148–235K/yr643 salary ranges

This range's midpoint, $105K, is 46% below the California median midpoint ($194K) — in the lowest quarter of Go-to-Market salary ranges in California.

Openings
Olive Jobs lists 213 open Go-to-Market jobs in California and 766 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Go-to-Market postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 10 years (511 postings).
Education
161 of the 766 open Go-to-Market jobs (21%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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