Data Partnerships Representative

About the Role

Handshake already runs one of the largest AI-training-data operations in the market, working with frontier AI labs. We're standing up a new, adjacent motion: going directly to companies to license their proprietary data (workflow data, code, support transcripts, and more), clean it, rights-clear it, and get it into the hands of the labs building the next generation of AI. This is a zero-to-one build. You'd be one of the first 5-10 reps on the floor.

Companies are sitting on data that's genuinely valuable and they don't know it, or don't know who to trust with it. Your job is to find those companies, get the right person on the phone, and, through real discovery rather than a script, figure out whether there's a fit. When there is, you scope a deal, work it through to signature, and get them paid for something they already had.

This is a high-volume outbound motion, but the close isn't transactional the way your last quota might have been. You're not selling a subscription or an ad package; you're asking a business owner or their IT team to trust you with something sensitive. That's a different muscle, and we'll help you build it. But the volume expectations (the calls, the emails, the pipeline discipline) are exactly what you're used to.

• Run high-volume outbound (calls, email, LinkedIn) against a target account list to find companies with data worth licensing
• Get past the gatekeeper and onto a real conversation with an owner, founder, CTO, or Head of Data
• Run thorough discovery, not a five-minute qualifier. You need to actually understand what data a company has, how it's structured, who has the authority to sell it, and what would make them comfortable saying yes, before you ever talk price
• Handle real hesitation and real objections (competitive fears, security concerns, "why should I trust you with this") with patience, not pressure
• Own the deal end to end: scoping, looping in legal/security when needed, negotiating terms, and getting to signature
• Hit weekly activity and pipeline targets; this is still a numbers game, just not only a numbers game
• Help build the playbook as you go: scripts, target lists, and process will all be actively evolving in your first 90 days

If you've worked outbound at a high-velocity sales floor, you already have the muscle this role needs: activity discipline, resilience, comfort with rejection, full-cycle ownership. What's different here is the second half of the call. This isn't "get to yes fast." It's "understand exactly what they have and exactly what would make them comfortable, then earn a yes." The reps who succeed here are the ones who can slow down at the right moment, bringing real discovery and real listening, without losing the hustle that got them here in the first place.

Desired Capabilities

• 1-2 years of prospect or customer facing, high volume outbound sales experience: ideally your second sales role, somewhere with real activity metrics and a track record of quota attainment. A background at a comparable high-velocity outbound sales floor is a strong signal, not a requirement
• Genuinely comfortable with high-intensity, fast-moving environments. This is an early-stage build inside a fast-growing AI company; the hours and pace reflect that
• Coachable, not just hard-charging. You can take an "always be closing" instinct and adapt it into "always be understanding" when the moment calls for it
• A real discovery mindset: you ask more questions than you answer on a first call, and you're comfortable not pitching until you actually understand the situation
• Composure under a hard or awkward conversation. Asking a company to hand over its data is not a normal sales ask; the reps who win here can sit in that discomfort instead of rushing past it
• Process discipline: clean notes, real follow-through, nothing goes cold in your pipeline
• Comfortable with ambiguity: there's no fully-built playbook yet; you're helping write it

Extra Credit

• Experience selling into technical buyers (CTOs, Heads of Data/Eng)
• Background in data licensing, ad-tech data, enterprise SaaS, or API/platform sales
• Familiarity with data privacy or compliance basics (GDPR/CCPA); we'll train this either way