Chaos Labs Logo

Chaos Labs

Forward Deployed Engineer

Reposted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Serve as a technical bridge between customers and the Chaos Labs platform: lead technical discovery, evaluate architecture and integrations, prototype and build solutions, debug end-to-end, and translate early deployments into scalable technical patterns while collaborating with Product, Sales, and Engineering.
The summary above was generated by AI
Description

Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software.

Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets.

We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.

How We Work

Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes. We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.

The Role

We’re hiring a Forward Deployed Engineer to own the technical customer journey and turn complex customer problems into production AI solutions that deliver measurable value. This is a high-impact role with significant ownership from day one. You’ll work closely with our VP of Sales, and Engineering teams to take strategic customers from technical discovery and solution design through implementation, production deployment, adoption, and expansion, taking problems from ambiguity through execution and measurable impact.

What You’ll Do

  • Own strategic AI deployments end to end, from discovery and scoping through architecture, implementation, evaluation, production rollout, and adoption.
  • Partner with our commercial team during pre-sales to lead technical discovery, solution design, and validation for strategic customer opportunities.
  • Drive post-sales technical success by leading implementation and integration work that moves customers from initial concept into production.
  • Build production AI systems using LLMs and modern AI models, including model APIs, tool calling, retrieval, and context management, structured outputs, and agentic workflows.
  • Bring customer insight back into the product, identifying patterns across deployments and turning one-off solutions into reusable components, tooling, playbooks, and product capabilities.
  • Identify opportunities, form strong points of view, and turn them into action.
Requirements
  • 5+ years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer with meaningful customer ownership.
  • A track record of taking ambiguous customer problems from discovery through production deployment
  • Strong technical and commercial judgment, with the ability to make effective trade-offs across customer needs, product capabilities, and engineering complexity.
  • Proficiency with SQL, APIs, integrations, authentication, cloud infrastructure, and production observability.
  • Ability to write clean code in Python and/or Rust and React/Typescript.
  • Hands-on experience building AI-powered applications, including working with model APIs, context management, tool calling, retrieval, evaluation, and cost-quality-latency tradeoffs.
  • Comfort operating in ambiguity and taking ownership without waiting for direction.
  • Exceptional standards for your own work and the ability to move quickly without sacrificing quality.

Preferred Qualifications

  • Flexibility to work remotely. Ability to travel up to 30% of the year to collaborate in person with the team.
  • Excellent written and spoken English, with the ability to communicate complex technical decisions clearly to both engineering and business audiences.
  • Familiarity with profiling tools and performance optimization techniques.
  • Demonstrated ability to work in a fast-paced, collaborative environment.

Benefits

  • Compensation & Equity – competitive package aligned with growth, performance, and merit
  • Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally

Similar Jobs

6 Days Ago
Remote or Hybrid
United States
126K-213K Annually
Senior level
126K-213K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Leads technical customer engagements for strategic enterprise accounts, combining solution engineering, software implementation, consulting, and sales support. Responsibilities include discovering requirements, designing and documenting SailPoint solutions, conducting foundational implementations and proof-of-value engagements, educating customers on architecture and best practices, and developing AI-enabled demonstrations and agentic solutions. The role collaborates across sales, product, professional services, partners, and customer success, and may require up to 15% travel.
Top Skills: Active DirectoryAgentic AiAngularApplication ServersArtificial IntelligenceAWSAzureCassandraClaude CodeCSSCursorDatabasesGCPGithub CopilotGoogle AntigravityHTMLJavaJavaScriptJSONKiroLdapLinuxMachine LearningMicrosoft Sql ServerMongoDBMySQLNode.jsOne IdentityOpenai CodexOracleOracle Identity ManagerPeoplesoftPowershellReactRedisRsa AveksaSaaSSailpointSAPSaviyntServicenowSoapSpmlSpring BootSpring MvcSQLSybaseTypescriptUnixVirtualizationVueWeb ServicesWindowsXML
7 Days Ago
Remote or Hybrid
150K-165K Annually
Entry level
150K-165K Annually
Entry level
Artificial Intelligence • Machine Learning
Develop custom AI solutions for customers using the Domino platform. Partner with experienced forward-deployed engineers to enhance legacy workflows, write code, design solutions, and deliver data science, MLOps, and software engineering outcomes in high-impact industries.
Top Skills: Domino PlatformMlopsPythonR
7 Days Ago
Easy Apply
Remote
United States
Easy Apply
143K-210K Annually
Senior level
143K-210K Annually
Senior level
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.
Top Skills: AIAPIsCSSData PipelinesHTMLJavaScriptLlm OrchestrationN8NWebflow ApisWebflow CmsWorkflow Automation

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account