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Founding Account Executive

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Spice AI
Full Time position
Listed on 2026-01-16
Job specializations:
  • Sales
    Technical Sales
  • IT/Tech
    Technical Sales
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Founding Account Executive

Building data-driven AI applications and agents is too complex, even for advanced developers. This new generation of applications needs fast, secure access to data across disparate systems, the ability to search and reason over that data, and infrastructure that’s reliable enough to run in production. Today, teams often need to piece together query engines, search systems, caches, and AI tooling, adding significant complexity along the way.

At Spice AI, we simplify this by unifying query federation, search, and AI into a single runtime for building intelligent applications. Our mission is to make building AI-powered software as easy as building a modern web application and to help developers build the next generation of applications. We offer both open source and fully managed cloud deployments.

For a deeper dive into the vision, watch Founder and CEO Luke Kim’s CMU Databases talk on Spice.ai OSS at  and read his Materialized View interview at (Use the "Apply for this Job" box below)..

At Spice AI, we hire for MEI:
Merit, Excellence, and Intelligence. We’re looking for exceptional, ambitious builders who are driven to solve hard problems and push the boundaries of what’s possible for AI.

Base pay range

$/yr - $/yr

Key Responsibilities
  • Own the full sales cycle: run the outbound motion, conduct discovery calls, deliver technical demos, navigate security reviews, and close contracts.
  • Generate pipeline: build and qualify pipeline through outbound prospecting, inbound lead follow‑up, events, and other effective channels.
  • Collaborate cross‑functionally: work closely with engineering and product to ensure successful proof‑of‑concepts, capture product feedback; refine the sales playbook, track pipeline and build forecasts.
  • Refine go‑to‑market strategy: build and continually improve outreach templates, sales processes and territory plans; improve sales playbooks and methodology, identifying ways to increase efficiency.
  • Navigate complex technical sales: understand and explain data infrastructure and AI/ML concepts and be comfortable discussing architecture with engineers. Speak the language of technical stakeholders and engage without relying heavily on sales engineers.
Who You Are
  • Adaptable and entrepreneurial, comfortable and excited about building a sales engine in a resource‑constrained, early‑stage environment. Thrive in ambiguity and take ownership.
  • Hunter mentality, willing and able to proactively source new leads, build pipeline from scratch, and close new logos. Experience with outbound and early GTM motion building is essential.
  • Relational and consultative, building trust with technical and executive stakeholders alike.
  • Technically fluent, able to understand and explain APIs, data infrastructure, and AI concepts; comfortable discussing architecture with engineers without heavy reliance on sales engineers.
  • Early‑stage SaaS experience, proven track record selling complex products at seed/Series‑A/B startups, including shaping or refining GTM motions.
  • Strong operator and communicator, managing pipeline, forecasting, and deal execution with discipline and proactively sharing feedback with product and leadership.
  • Proven domain success, demonstrated success selling data infrastructure, analytics, databases, or developer tooling (e.g., experience adjacent to companies like Dremio, Snowflake, Databricks, or Starburst).
  • Enterprise sales acumen, understanding how to navigate complex, multi‑stakeholder enterprise sales cycles from first contact to close.
  • Relevant background, prior experience as a founding AE, early sales hire, former founder, or seller in data analytics, databases, or developer‑first platforms.
What Is Exciting About This Opportunity
  • Exponential learning, autonomy, and impact – direct ownership over GTM tactics, systems, messaging, and experimentation.
  • Become an AI expert and GTM engineer – develop deep fluency in modern data and AI infrastructure while designing product positioning, sales, and adoption.
  • Expand your technical depth by working directly with engineers and product leaders to bring advanced solutions to market.
  • Career growth – take this role…
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