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Sales Engineer

Role overview

Qualifications

  • 4+ years in sales engineering, solutions engineering, or customer-facing technical sales
  • Track record of building and delivering technical demonstrations
  • Hands-on technical proficiency with APIs and at least one scripting language such as Python
  • Bachelor’s degree or above in Computer Science or a related field

Responsibilities

  • Serve as the technical expert across the sales cycle
  • Design and deliver tailored demonstrations of APT and our platform
  • Architect production-grade solutions that integrate APT into enterprise ecosystems
  • Translate customer needs into product and engineering feedback

About the company

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Scaled Cognition

Company details

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Job description

Scaled Cognition is an AI model lab building Super-Reliable Intelligence for the enterprise. The company's flagship model APT delivers human-like conversational fluency while eliminating hallucinations — powering AI agents that follow policy and take action when the stakes are real: bank balances, medical records, flight changes, insurance claims. Scaled Cognition's platform includes the model, agentic tooling, simulation and evaluation frameworks, and live agent monitoring. Founded by Dan Klein, a UC Berkeley professor of AI, and Dan Roth, who together built and sold one of the first agentic AI companies to Microsoft.

As a Sales Engineer at Scaled Cognition, you’ll be the technical leader in our earliest conversations with the world’s largest enterprises — the person who turns the promise of AI into a working, reliable agent a customer can see, test, and believe in. Sitting at the intersection of pre-sales engineering, product, and enterprise architecture, you’ll partner with our Account Managers and Forward Deployed Engineers to translate complex CX challenges into production deployments built on Super-Reliable Intelligence.

What you’ll do

  • Serve as the technical expert across the sales cycle — leading technical discovery, scoping solutions, and answering the hard questions about architecture, security, reliability, and integration.

  • Design and deliver tailored demonstrations of APT and our platform; build agents that prove out a customer’s real CX scenarios using GenAPI™ simulation and our authoring and evaluation tools.

  • Architect production-grade solutions that integrate APT into complex enterprise ecosystems through our stateless RESTful API, deployed in the customer’s VPC or public cloud.

  • Partner between Account Managers and Forward Deployed Engineers (FDE) to discover, qualify, and shape opportunities into deployments with clear, measurable ROI.

  • Translate customer needs into sharp product and engineering feedback, helping Research and Product close the gap between what general models do and what enterprises need.

  • Communicate complex technical concepts clearly to every audience in the room, from C-suite economic buyers to hands-on engineering teams.

  • Help build the solutions engineering function — the demos, frameworks, and technical playbooks that scale with us.

You might be the right person for the job if you

  • Love being in front of customers and moving fluidly between a whiteboard with engineers and a boardroom with executives.

  • Are technically inquisitive — you want to understand the architecture well enough to speak credibly about policy fidelity and deterministic action execution.

  • Get a charge out of building a sharp demo that makes an abstract capability feel real.

  • Thrive in ambiguity and are excited to be an early, foundational hire.

  • Are obsessed with craft, from the data in your demo to the words in your follow-up.

Key Qualifications

  • 4+ years in sales engineering, solutions engineering, or customer-facing technical sales, supporting enterprise deals.

  • A track record of building and delivering technical demonstrations and leading technical discovery with enterprise customers.

  • The ability to connect a prospect’s specific business problems to a technical solution and explain it to both technical and non-technical audiences.

  • Hands-on technical proficiency — comfortable with APIs and integrations, and with at least one scripting language such as Python.

  • Experience building relationships with senior stakeholders, including executives and technical leaders.

  • Bachelor’s degree or above, ideally in Computer Science or a related field, or equivalent professional experience.

  • Experience with function-calling LLMs, structured instructions, or agentic frameworks.

  • Bonus: Experience in the customer experience (CX), contact center, or BPO space.

  • Bonus: Experience as an early technical sales hire at a high-growth AI or enterprise software company.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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