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What you'd actually do: Lead technical discovery and build demos for large enterprises evaluating a conversational AI platform, working alongside account managers and forward deployed engineers.
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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.
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.
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.
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.
Experience in the customer experience (CX), contact center, or BPO space.
Experience as an early technical sales hire at a high-growth AI or enterprise software company.