AI Engineer, GTM Claudification

Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WARemotosenior

En corto

▸Construyes agentes autónomos que gestionan todo el proceso de venta (inbound, outbound, pipeline),
▸Diseñas evaluaciones y observabilidad para probar que los agentes funcionan bien y generan valor real,
▸Liderazgo técnico en una función en crecimiento de IA para mercados, con enfoque en seguridad y control humano.

Fluency in English is required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Experiencia en producción con LLMs, incluyendo agentes, MCP y evaluaciones
✓Habilidad comprobada en Python o TypeScript para aplicaciones en producción
✓Experiencia con SQL y análisis de datos
✓Capacidad para operar en entornos ambiguos sin especificaciones claras
✓Conocimiento en evaluaciones de agentes y análisis de transcripciones
✓Pasión por IA segura y centrada en el usuario

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonTypeScriptLLMsagent frameworksMCP serversClaude CodeClaude Agent SDKCRMsales engagement toolsdata warehouse

¿A quién escribirle en Anthropic?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AI Engineer on the GTM Claudification team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team. Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth. Key responsibilities • Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement • Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control • Develop evaluation frameworks for agent behavior, and run them in development and in production • Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue • Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse • Set the technical direction for how we build, evaluate, and operate agents across the team • Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high • Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe • Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams • Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques Minimum qualifications • Strong programming skills in Python or TypeScript, with experience building and operating production applications • Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks • Experience using evals and transcript analysis to find and fix real problems in an LLM system • Working fluency with data, including SQL • Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems • Passion for advancing safe, beneficial AI, and care for the people who use what you build Preferred qualifications • 8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply • Experience with the Claude Code and the Claude Agent SDK • Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation in

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.