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Forward Deployed AI Sales Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Sapience AI Corporation
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    IT Consultant, Technical Sales, IT Business Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 190000 USD Yearly USD 180000.00 190000.00 YEAR
Job Description & How to Apply Below

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share.

The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that.

Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves.

Let’s achieve more, together.

Where this role sits

This is a customer-facing technical role that lives between what Sapience AI builds and what a community actually needs. You embed with prospects and new customers, you speak the language of their systems, and you prove that collective intelligence works on their data, not on a slide.

You are the person who turns MINERVA and the COGENT architecture into a working answer to a real problem in front of a real buyer. You run discovery, design the solution, stand up the proof, and stay close through the first deployment. Then you carry what you learned in the field straight back to product and engineering.

You partner with account executives, but you are not a quota-carrying seller and you do not own the commercial relationship. You own technical truth: whether it works, how it works, and what it will take to make it work here.

Why this role exists

Enterprise buyers of AI do not buy promises. They buy proof. The gap between an impressive demo and a signed deployment is filled by someone who can connect the platform to the customer’s messy reality and show that it holds up.

Professional communities run on trust, and their data is sensitive. A buyer needs to see that Sapience AI can reach the expertise trapped in their AMS, CRM, and knowledge base without breaking the trust their members place in them.

The Forward Deployed AI Sales Engineer closes that gap. You make the technology real, credible, and safe in the buyer’s own environment, so the decision rests on evidence rather than faith.

What you will own (Areas of Responsibility)

You hold eight areas of responsibility across the deal and deployment cycle. Each one is yours to set direction on, build, and measure.

1. Technical discovery and solution design
  • Lead technical discovery with prospects: their systems, their data sources, their community, and the outcomes that would make this worth doing.
  • Design the solution architecture that connects MINERVA and COGENT to the customer’s CRM, AMS, and knowledge sources, and map it to their success criteria.
  • Scope pilots honestly, including what is in reach now, what depends on the roadmap, and where the real risks sit.
2. Demonstrations and proofs of value
  • Build and deliver demonstrations grounded in the customer’s own use cases, not a generic script.
  • Stand up proofs of value and pilots against real or representative data, and define the metrics that show whether the pilot succeeded.
  • Translate pilot results into a clear, defensible story of value that leadership and technical evaluators both trust.
3. Deployment and integration in customer environments
  • Configure and integrate Sapience AI in the customer environment, working through data access, identity, and connection to existing systems.
  • Partner with forward deployed backend and full stack engineers to build the custom pieces a deployment needs.
  • Own technical readiness through go-live, and hand off cleanly to customer success and support.
4. Technical trust, security,…
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