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Liquid Ai

Strategic Partnerships, Silicon Ecosystem

San FranciscoHybrid · United States
FullTime · Business
POSTED 7 NOVVERIFIED 23H AGO
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Role
1 days opentrue age
Posted 7 Nov
Pay
$100k–$210kno pay posted
Market p25–p75
$100k–$210k
SF Bay Area · n=2435 · 365d to 6 Nov
CompanyLiquid Ai →
20open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
417,231open · Other
All other
625,163open
All tracked boards · live 8 Nov · n=417,231
Visa
5H-1B LCAs · FY26
Median wage
$240k
LCAs FY26 · n=5 · to 2026-06-16

About Liquid AI

Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.

The Opportunity

Liquid AI is building the foundation for edge AI, and silicon providers, to emerging companies building the next generation of AI hardware, are a primary path to customers. Our mission is to make Liquid AI a preferred AI foundation across edge computing platforms through deep technical and commercial partnerships.

You'll work closely with senior leadership, product, engineering and go-to-market teams, initially leading selected partnerships end to end, with the opportunity to take broader ownership of Liquid's silicon ecosystem as the organization grows.

What We're Looking For

We need someone who:

Executes to the finish line: You move fast, act before every data point is in, and measure your work by outcomes (a signed agreement, a shipped product, a live customer), not by the introductions you made.

Brings structure with judgment: You have an entrepreneurial mindset and a high degree of ownership: you draw on what has worked before, adapt it to a fast-moving startup, and build process where none exists yet.

Learns the technology out of curiosity: You're passionate about edge AI and ask questions until you understand the technical substance, even when you're not the most technical person in the room.

The Work

Build and execute strategic silicon partnerships: own relationships with assigned partners, run co-design programs between their product groups and Liquid's teams, and negotiate agreements through to signature.

Define joint products: work with partners on what their hardware and Liquid's models and agents deliver together, and drive integration, optimization and benchmarking with both engineering teams.

Drive ecosystem adoption and distribution: take joint products to partner business groups, OEMs and system integrators, and identify the customers to pursue first.

Develop joint go-to-market: bring Liquid's go-to-market team into partner-sourced opportunities, and lead joint launches, demonstrations and events such as CES.

Lead cross-functional execution: turn partnership commitments into plans with clear milestones and owners, and resolve technical, commercial and organizational blockers.

Experience & Capabilities

What you'll need

A proven track record of developing and executing strategic partnerships that drive measurable outcomes: signed agreements, shipped integrations, and customers

Experience working with silicon vendors, hardware platforms, OEMs, or embedded computing ecosystems

Experience leading commercial negotiations and structuring partnerships involving technical integration, distribution, or joint go-to-market

Product thinking: defining what a joint offering does, who buys it, and why

Strong understanding of the AI ecosystem and the evolving roles of AI models, inference software, and hardware platforms

Ability to work effectively across engineering, product, and business organizations

Helpful, not required

Experience with AI inference, machine learning infrastructure, or edge AI

Familiarity with CPU, GPU, and NPU architectures and their software ecosystems

Background in AI PCs, mobile devices, automotive, IoT, robotics, or embedded systems

Existing relationships with major semiconductor companies

What Success Looks Like (Year One)

At least one silicon partnership taken from early discussions to a signed agreement, a defined joint product, and target customers both companies are pursuing, with Liquid's go-to-market team running the customer conversations and the program moving without your day-to-day involvement

What We Offer

Partnerships with real pull: Leading silicon providers are already engaging; you own converting that demand into shipped products, with a path to leading Liquid's ecosystem strategy.

Source · Liquid AiFirst seen 7 NovOriginal ↗