--- title: 'Solutions Engineer at Scaled Cognition' canonical: 'https://feeny.ai/job/solutions-engineer-scaled-cognition-new-york-nzn2ybnmwmdc' type: 'job' last_seen: '2026-10-19' --- # Solutions Engineer at Scaled Cognition - **Company:** Scaled Cognition - **Location:** New York, NY - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-06-30 - **Last confirmed live:** 2026-10-19 - **Apply:** https://jobs.ashbyhq.com/scaled-cognition/a7e5a1c9-f642-4589-b287-d7b885b9e596/application **Skills:** APIs, Integrations, Python, Function-calling LLMs, Structured instructions, Agentic frameworks, Customer Experience (CX), Contact Center, BPO > Scaled Cognition seeks a Sales Engineer to lead technical discovery and deliver tailored demonstrations of its Super-Reliable Intelligence platform to enterprise customers. The role involves architecting production-grade solutions, partnering with account managers, and translating complex technical concepts into pro... ## 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 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. ## About Scaled Cognition ## Company Overview - **One-liner**: Scaled Cognition builds a frontier model for customer service that eliminates hallucinations, delivering super-reliable, policy-compliant AI agents for enterprise CX. - **Entity Type**: Private (Series A, led by Khosla Ventures) - **Headquarters**: Mountain View, California, USA - **Founded**: 2023 - **Founders**: Dan Roth (CEO), Dan Klein (CTO), Damon Pender (CFO) ## Core Business - Primary industry: Enterprise AI / Customer Service (CX) - Target customers: Large enterprises and brands that need trustworthy, audit-proof AI for customer-facing operations (B2B, Enterprise) - Mission: Deliver “Super‑Reliable Intelligence” – AI that can be trusted to act on behalf of enterprises accurately, consistently, and at scale. ## Products & Services - **APT (Agent‑Powered Technology)**: A hallucination‑free frontier model purpose‑built for CX. Offers a standard, stateless RESTful API that enforces policies, permissions, and business logic architecturally. Supports no‑code, low‑code, and SDK‑based agent building. Can be deployed in the cloud, in the customer’s VPC, or on‑premises. - **GenAPI™ Simulation**: A testing framework that runs thousands of simulated CX scenarios to validate agent correctness, policy adherence, and reliability before production. - **Agent Evaluator**: Generates evaluation reports with correctness scores, policy compliance gaps, and reliability patterns across large scenario sets. - **Agent Monitoring**: Continuous production monitoring to detect drift, policy violations, and anomalies. - **Platform Authoring & Validation Tools**: Tools for building agents with no‑code/low‑code, and for validating them with simulation, plus professional services from the research team. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding amount not publicly available; known rounds include a Seed round, a Corporate Round led by Genesys (Oct 2025), and a Series A led by Khosla Ventures (announced on website) - **Notable Investors/Partners**: Khosla Ventures (lead, Series A), Genesys (corporate round investor), plus partners mentioned as “backed by Vinod Khosla, Genesys, and partners” [scaledcognition.com] - **Growth Signals**: - Employee headcount of 27 with +61.9% year‑over‑year growth and +6.2% monthly growth [LinkedIn] - Workforce heavily research‑oriented: 21% of employees in Research, 29% in Technical roles - Talent drawn from top labs/companies (Microsoft, Amazon, Google, Meta, etc.) - Active job postings (4 open roles as of profile date) with +300% year‑over‑year posting growth ## Competitive Advantages - **Architecture‑enforced reliability**: Unlike general‑purpose models (which can only be prompted), Scaled Cognition’s model has policies and business logic baked into its architecture – “policies that can’t be broken” and hallucination‑free by design. - **Full stack for CX**: Offers end‑to‑end simulation, validation, monitoring, and deployment tools purpose‑built for customer service, not a repurposed general‑purpose model. - **Ownership & control**: All prompts, policies, and business logic stay with the customer; models can be deployed in‑house, providing security and compliance for enterprises. - **Research‑backed engineering**: Team includes world‑class AI researchers (e.g., company describes itself as “world‑class researchers and engineers who ship fast”) and has produced a model that achieves “Pass100” reliability (same correct answer across 100 identical scenarios). ## Strategic Focus - Continue research and development to close the gap between general‑purpose AI and enterprise reliability requirements - Accelerate team growth across Research, Engineering, Product, and Go‑to‑Market [careers page] - Expand enterprise adoption and on‑premises deployments - Strengthen partnerships with leading CX platforms (e.g., Genesys) and enterprise infrastructure providers ## Why Work Here - **Mission‑driven culture**: Building “Super‑Reliable Intelligence” that enterprises can trust – a defining challenge in the current AI era. - **Scientific rigor + startup velocity**: Described as “no bureaucracy, no ego – just hard problems and the people solving them”; a bias for action and iterative shipping. - **Top‑tier team**: Colleagues from leading AI labs (Microsoft, Google, Amazon, Meta) and universities; deep research culture integrated with product engineering. - **Flexible work**: Roles based in Los Angeles and Mountain View; likely hybrid/on‑site given location requirements on careers page. - **Growth opportunity**: Rapidly scaling company (61% employee growth YoY) with open roles across multiple functions, offering impact on foundational AI for enterprise. - **Perks**: Not detailed, but emphasis on ownership of your work, direct impact on the product, and the chance to shape the future of enterprise AI. ## Sources 1. [scaledcognition.com](https://www.scaledcognition.com/) 2. [scaledcognition.com/careers](https://www.scaledcognition.com/careers) 3. [scaledcognition.com/about](https://www.scaledcognition.com/about) 4. [linkedin.com/company/scaledcognition](https://www.linkedin.com/company/scaledcognition) 5. 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