Skip to content
Liquid Ai

Member of Go-to-Market Staff

North America l San Francisco, Boston or RemoteRemote · North America
Staff · FullTime · GTM
POSTED 2 OCTVERIFIED 1D AGO
Apply Ask
Role
37 days opentrue age
Posted 2 Oct
Pay
$177k–$250kno pay posted
Market p25–p75
$177k–$250k
SF Bay Area · n=789 · 365d to 6 Nov
CompanyLiquid Ai →
20open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
23,257open · Staff Other
All other
624,929open
All tracked boards · live 8 Nov · n=23,257
Visa
5H-1B LCAs · FY26
Median wage
$240k
LCAs FY26 · n=5 · to 2026-06-16

About Liquid AI

Liquid AI is a 3-year-old foundation-model company spun out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). We build general-purpose AI systems that enable advanced AI to run anywhere–from phones, cars, and laptops to satellites and on-prem infrastructure–with no internet required. We are scaling rapidly and need exceptional people to help us get there.

The Opportunity

We are hiring a GTM generalist to help Liquid’s growing business team turn our technical model leadership and early enterprise traction into a repeatable go-to-market motion by owning a portfolio of critical business activities.

You will build our outbound motion and the automation layer that enables pipeline generation to scale. You will lead deals and own customer relationships. You will help us shape product development and launch new solutions by gathering customer feedback that shapes what we build and how we position it. You will leverage your understanding of the market and customer needs to create growth initiatives and partner with marketing to execute them. How you will spend your time across these activities will shift quarter to quarter based on what the business needs, and you have both the judgement and autonomy to decide how to focus your time and energy.

This is a broad, high-leverage role. You will work directly with our founders, Head of Business, Head of Solutions, and marketing and sales leads to shape how a foundation model company goes to market and then own a piece of everything that decision touches. This role will give you more surface area than almost any other at Liquid and in the industry.

The Work

Build qualified pipeline across target accounts through cold calls, highly tailored email outreach, LinkedIn, and creative prospecting.

Identify and engage technical and business stakeholders, including engineering leaders, AI/ML teams, product leaders, and executives.

Run thoughtful early-stage qualification conversations to determine where there is real fit and where we should not spend time.

Partner closely with our sales and partnerships teams on account strategy, messaging, sequencing, and handoff quality.

Step into active deal cycles when useful, especially to capture learnings that improve future pipeline generation and qualification.

Surface market insight from the front lines: objections, language that resonates, competitor patterns, use-case trends, and signals that should shape our positioning.

Help define our qualification criteria and handoff standards so that pipeline quality stays high as we scale.

Build the outbound playbook from scratch: target account strategy, messaging frameworks, channel mix, sequencing, and operating cadence.

Maintain rigorous CRM discipline from day one so we can learn quickly and build on real data.

Desired Experience

Must have

4–6 years of GTM experience in B2B software, developer tools, infrastructure, or a similarly technical product category, with at least part of that time at an early-stage company.

Evidence of range, not just tenure. For example, you’ve held multiple types of GTM roles or moved from consulting into a GTM role.

Experience being directly accountable for revenue: this includes pipeline generation, quota-carrying roles, and/or strategic BD where you drove commercial results.

Experience prospecting or selling into technical personas such as engineers, data scientists, CTOs, Heads of AI/ML, or technical founders.

Fluency with modern GTM tooling, including at least one example of a workflow or automation you built yourself.

Nice-to-have

Experience in a Series A-C or other early-stage environment.

Familiarity with AI/ML concepts or experience selling into technical infrastructure buyers.

Experience using qualification frameworks such as MEDDIC, BANT, or similar.

Who You Are

We’re looking for someone who is excited by the idea of helping build a go-to-market motion from the ground up. The strongest candidates will bring:

Proof of range: you enjoy and are effective across pipeline development, deal work, customer engagement, and growth campaigns.

Source · Liquid AiFirst seen 2 NovOriginal ↗