Strategic Business Development

Department: Sales

Location: San Francisco, Boston

Location Type: Hybrid

Employment Type: Full-time

Liquid AI is a 3-year-old foundation-model company spun out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). We build small, efficient, and incredibly fast foundation models that can run directly on the computers all around us—phones, cars, and laptops–with no internet needed, bringing AI capabilities to 99% of global compute that exists outside of data centers today. We are scaling rapidly and need exceptional people to help us get there.

• Own the full sales cycle, end to end: prospecting, outbound, discovery, technical validation, commercial negotiation, procurement, and close.

• Build and manage a high-quality pipeline across priority verticals through self-sourced outbound, your network, and qualified inbound demand.

• Sell Liquid Foundation Models to technical and executive buyers, including CTOs, VPs of Engineering, Heads of AI/ML, and product leaders.

• Lead complex, multi-threaded enterprise deals that involve technical evaluation, security review, legal, procurement, and executive alignment.

• Partner closely with engineering during technical deep-dives, proof-of-concepts, benchmarks, and deployment conversations.

• Shape pricing, packaging, and deal strategy in partnership with founders and business leadership.

• Be the voice of the market internally: bring back objections, competitive intelligence, pricing feedback, and emerging use cases that should influence product and positioning.

• Build the early sales system: qualification criteria, deal stages, messaging, objection handling, handoff processes, and the operating cadences the next hires will scale.

Must-have:

• 8+ years of revenue-driving experience in tech B2B sales or partnerships, with a track record of consistently meeting or exceeding goals, especially revenue-oriented goals.

• Recent experience selling AI/ML infrastructure, developer tools, data/ML platforms, or other technically sophisticated products.

• The ability to hold credible, high-trust conversations with deeply technical buyers and executives.

• A proven track record of creating pipeline yourself, not just converting pipeline created for you.

• Experience in an early-stage or Series A-C environment where you helped build the motion, not just execute an established one.

• Comfort selling through longer, consultative enterprise cycles with multiple technical and commercial stakeholders.

• Strong judgment on where to spend time, how to prioritize accounts, and how to drive a deal forward without overplaying your hand.

Nice-to-have:

• Experience selling into consumer electronics, automotive, life sciences, or financial services.

• Familiarity with modern outbound, pipeline, and forecasting tools.

• Relationships with technical decision-makers in our target account universe.

• You're energized by running deals, and every deal matters.

• You are a closer, but not a transactional one. You earn trust through curiosity, rigor, and commercial sharpness.
  You are energized by technical products and technical buyers. You like learning how systems work, where they break, and what makes a solution genuinely better.

• You want founder proximity, real ownership, and a seat where your judgment changes outcomes.

• You have built in ambiguity before and know how to create structure without slowing momentum.

• You care about the craft of sales: not just winning the current deal, but understanding why it was won and how to make that repeatable.

• You close meaningful net-new revenue from deals you helped source and run.

• Liquid has a repeatable early enterprise sales motion, with clear qualification criteria, pricing frameworks, objection handling, and handoff processes.

• Founders and leadership rely on your judgment for deal strategy, pricing, pipeline prioritization, and market insight.

• We have a stronger understanding of where we win, why we win, and which segments and use cases should define the next phase of GTM scale.