Build and iterate full-stack systems powering AI voice agents from concept through deployment. Research agent orchestration, prompting, and model-alignment approaches; improve usability with product, design, and GTM teams; document findings; participate in technical reviews; and support rapid improvements to live customer deployments.
About 11x
What You’ll Do
Ideal Candidates Have
Most of what GTM teams do all day isn't selling. It's monotonous work like research, list-building, follow-ups, and data entry - things that should never have been a human job in the first place.
11x is building the AI platform for growth by automating the busywork so GTM teams can focus on what they do best: building relationships and closing deals.
Backed by $75M+ from a16z and Benchmark, headquartered in San Francisco, and trusted by leading teams at Checkr, Xerox, Rillet, and much more. We're hiring ambitious people who want to define how the next generation of companies accelerate growth.
About the RoleAs a Voice Agent Engineer, you’ll be the connective tissue between our GTM AI agents and real-world customer outcomes. AI is redefining the way people sell - and the Voice team is on the front lines of making that happen.
Location is flexible—we’re hiring in San Francisco (in-office) and remotely throughout the U.S. and Canada.
- Design, build, and iterate on fullstack systems that power AI agents from concept to deployment
- Research and evaluate new approaches to agent orchestration, prompting strategies, and model alignment
- Collaborate with product, design, and GTM teams to improve UX and usability for non-technical users
- Share learnings, document findings, and contribute to the evolution of internal best practices
- Participate in peer reviews, brainstorming sessions, and technical deep dives with our global team
- 3+ years of experience in a product-oriented software engineering role
- A CS/Engineering degree & professional experience; bonus if you’ve worked in a startup, consulting, or customer-facing technical role before
- Strong programming fundamentals in Typescript, React, NextJS, and NodeJS
- Familiarity with APIs, data flows, and debugging live systems
- Interest in AI/ML, conversational AI, or voice technologies
- Responsive and proactive in addressing customer needs with bias for action - comfortable shipping quickly and improving continuously in live deployments
Base salary range: $180,000 – $200,000
*Final offer will be based on a variety of factors, including role level, relevant experience, skills, and job-related expertise.
11x is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
11x San Francisco, California, USA Office
677 Harrison Street, San Francisco, CA, United States, 94107
Similar Jobs
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
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
Fintech • Productivity • Software • Financial Services
Build production software while working directly with customers on technical implementations, onboarding, integrations, debugging, and workflow automation. Partner with Sales, Customer Success, Product, and Engineering to translate customer needs into scalable product features. Own engineering projects from requirements through deployment, improve APIs and developer experience, and serve as a trusted technical advisor to enterprise customers.
Top Skills:
AWSDockerJavaScriptNode.jsPostgresRedisSQLTypescript
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
