Liquid AI
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Recently posted jobs
Artificial Intelligence • Information Technology
Runs Boston office operations, including facilities, vendors, supplies, access, events, budgets, and visitor experience. Supports the Chief Science Officer through calendar management, meeting preparation, follow-up tracking, and domestic and international travel coordination. The role is fully onsite, requires strong initiative and judgment in a rapidly changing environment, and includes occasional event travel.
Artificial Intelligence • Information Technology
Build Liquid AI’s developer relations function by engaging developers across Hugging Face, GitHub, Discord, and events; creating technical content, cookbooks, benchmarks, tutorials, and reference applications; deploying efficient models on edge devices; organizing workshops and hackathons; and channeling developer feedback to model and platform teams.
Artificial Intelligence • Information Technology
Own the full enterprise sales cycle for Liquid AI’s foundation models, from prospecting and discovery through technical validation, negotiation, procurement, and close. Build self-sourced pipeline, sell to technical and executive buyers, lead complex multi-stakeholder evaluations, shape pricing and deal strategy, and establish a repeatable early-stage sales motion. Provide market intelligence and partner with founders and engineering to expand enterprise adoption.
Artificial Intelligence • Information Technology
Own the monthly and quarterly close, technical accounting positions, equity compensation accounting, tax processes, internal controls, annual audit, and finance systems automation. The Controller will build scalable accounting infrastructure, lead ERP improvements, manage external auditors and tax vendors, and partner with FP&A, Legal, GTM Finance, the CFO, board, and audit committee.
Artificial Intelligence • Information Technology
As a Research Engineer, you'll design and implement AI architectures, methods, and strategies, translating research into practical applications.
Artificial Intelligence • Information Technology
Own end-to-end AI product solutions: define ICPs, pricing, and packaging; extract and productize customer learnings; collaborate with ML and inference teams to reduce implementation overhead; partner with GTM to scale outbound sales and deploy repeatable enterprise solutions.


