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.