Software Engineer, Product at Scaled Cognition (Mountain View, CA)

Scaled Cognition· Mountain View, CA·5h ago

Role details

Work type

Onsite

Employment

Full-Time

Skills

PythonTypeScriptAWSGCPAzureCloud architecturesDev toolingLLM APIsSDK designInteractive systemsAgentic systems

Summary

Develop and build intuitive user experiences, SDKs, and infrastructure for simulation and deployment of next-generation AI systems. Collaborate with research and infrastructure teams to translate cutting-edge model capabilities into reliable, policy-aligned products for enterprise customer experience workflows.

Job description

Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust. As a Software Engineer, Product at Scaled Cognition you will:

Develop and build intuitive user experiences and SDKs that are powered by our novel, intelligent models.
Develop tools and infrastructure for simulation, evaluation, and deployment of next-generation AI systems.
Work closely with research and infrastructure teams to translate cutting-edge model capabilities into delightful, reliable products.
Prototype fast, learn continuously, and ship ambitious ideas that redefine what’s possible in intelligent software.

You might be the right person for the job if you:

Are passionate about building high quality products that solve real user needs.
Are excited about building agentic systems and exploring what's possible at the frontier of AI capabilities.
Thrive in ambiguous environments where you have the autonomy to define the path forward.
Enjoy collaborating across disciplines — from product to AI research to infrastructure — to make something new work in the real world.

Key Qualifications:

3+ years of software engineering experience.
Strong proficiency with Python and TypeScript.
Experience deploying secure, highly available customer-facing applications.
Experience deploying secure, scalable, customer-facing applications in production.
Familiarity with cloud architectures (AWS, GCP, Azure, etc.) and modern dev tooling.
(Bonus) Experience with LLM APIs, SDK design, and interactive systems involving intelligent agents.

Why work at Scaled Cognition

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.

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

Sources

Summary

Job description

Why work at Scaled Cognition

Application questions