Hub – Head of GTM

Hub; San Francisco (CA); On-site; USD 120,000 - 140,000; Full time

Job summary

Hub, a data company in San Francisco, seeks a Head of GTM to own relationships with frontier AI labs and robotics firms, guiding market insight to signed contracts. You will gather market insights, build ICPs, and craft outreach strategies starting with your warm network.

Responsibilities include closing deals, negotiating contracts, and managing SDRs to transform pipeline into revenue. In-person SF role with potential visa sponsorship, base USD 120k–140k plus uncapped commission.

Qualifications

• 5+ years of experience in sales at a big data collection, annotation or labeling company, or in data procurement at a robotics lab.
• Native or fully professional English, spoken and written.
• Big contact book with warm network across labs and big tech.
• Understanding of data and models; talk to a research lead about model needs.
• Strong at cold outreach when warm network runs out.
• Negotiation and closing; you've closed complex contracts and can show the numbers.
• Organized CRM operator; pipeline is always clean and current.
• AI native; agentic workflows; research the field daily.
• Big sense of ownership; your deals, your numbers, your relationships.
• Passionate about technology and frontier AI/robotics.

Responsibilities

• Gather market insights and tell labs what they want now and in a year.
• Build ICPs and identify champions inside each company.
• Create the outreach strategy starting with your warm network.
• Close deals, negotiate contracts, and maintain relationships post-signature.
• Manage SDRs and convert their pipeline into revenue.

Skills

Sales leadership

Big data sales

English fluency

CRM management

Negotiation

Cold outreach

Account management

AI familiarity

Ownership mindset

Tech passion

Egocentric data experience

Hermes Agent user

Tools

CRM software

Agentic outreach

Personal agent setup

Job description

Hub — Head of GTM

Hub describes itself as a data company that provides real-world training data for physical AI and robotics. This brief combines the company’s JD with the employer clarification relayed by Victor on 2026-09-25.

Responsibilities

As Head of GTM you own Hub’s relationships with frontier AI labs and robotics companies, from market insight to signed contract.

• Gather market insights. Tell us what the labs want now, and what they will want in a year.

• Build our list of ICPs and find the champions to target inside each company.

• Create the outreach strategy to reach them, starting with your warm network.

• Close deals, negotiate contracts, and maintain the relationship long after the signature.

• Manage our SDRs and turn their pipeline into revenue.

Candidate profile

5+ years of experience, with a previous role in sales at a big data collection, annotation or labelling company, or in data procurement at a robotics lab is mandatory. You live in SF, have been in the Valley for 5+ years, and go to multiple events a week. We look for outliers with outstanding achievements and grit.

• Native or fully professional English, spoken and written.

• Big contact book. Your warm network across labs and big tech opens doors.

• Understanding of data and models. You can talk to a research lead about what their next model needs.

• Strong at cold outreach when the warm network runs out.

• Negotiation and closing. You’ve closed complex contracts and can show the numbers.

• Organized CRM operator. Your pipeline is always clean and current.

• AI native. Good with agentic workflows. Agents map the market, research accounts and prep every deal. You research the field daily.

• Big sense of ownership. Your deals, your numbers, your relationships.

• Passionate about technology. You follow the frontier of AI and robotics because you love it, not because the job asks.

• Bonus: you’ve worked at a company that sold egocentric data.

• Bonus: you’re a Hermes Agent user, or run a similar always-on personal agent.

Tools and working stack

Frontier models and agents for market mapping, account research and deal prep.

• A CRM clean enough to forecast from.

• Agentic outreach for cold, your own network for warm.

• Your own agent setup, working the pipeline around the clock.

Example missions (illustrative, not agreed targets or budgets)

We need to close a deal with one of the largest AI companies in the world. Figure out what type of data they’re buying and who makes the decision. What’s your strategy to reach them?

• We have 50,000 contributors with open capacity. What is the best type of data to create with them for open source, to get the labs’ attention?

Compensation and work authorization

Employer clarification relayed by Victor on 2026-09-25; the original JD remains the source for role responsibilities and work location.

• The existing JD states USD 120,000–140,000 annual base plus around 5% uncapped commission; this new reply does not reconfirm that base or finalize the approximate rate. Commission structure and quotas will be discussed with candidates. Hub says commission should be based on revenue collected: this is the intended basis, not a finalized contractual formula. Rate, payment timing, quota and OTE remain to be agreed.

• Head of GTM requires US work authorization for the San Francisco role. Hub prefers this not to be an issue, but may consider sponsoring a visa for the right candidate, case by case; sponsorship is not guaranteed and no visa category or eligibility decision has been supplied.

• Path to become head of sales and manage its own team.

• San Francisco, in person.

• Direct work with the founders. Direct work with top AI labs.

Recruitment process stated in the JD

A short application read by the founders. We open your handles first: your LinkedIn and your track record in sales.

• One conversation, then a task from the real work, like the missions above.

• We watch how you approach the problem, how you break it down, what you measure, and how you verify your own work.

• Final conversation, then answer within 48 hours. The 48-hour answer is a stated process target, not a separately verified service commitment.

Application evidence requested

Compensation/work-authorization update source: employer reply pasted verbatim by Victor into this workspace on 2026-09-25; no direct Slack-message timestamp or permalink was supplied.