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Solutions Engineer

Scaled Cognition

Solutions Engineer

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 Solutions 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 solutions 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.
Scaled Cognition
Vacancy posted 3 days ago
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