LocationRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
Work styleHybrid
TypeNot specified
ScheduleNot specified
RemunerationAbout Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI…
Start dateAbout Anthropic Anthropic’s mission is to create reliable, interpretable, and…
DeadlineNot stated
Required languagesNot stated
About the role
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.
Stay in Aptiora while you decide.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
What you’ll do
- 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
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- 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
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Helpful, not always essential
- 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 intelligence) or time working closely with a revenue team
- Experience growing a codebase that many people contribute to, inner-source or open-source
- Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis
- Exceptional communication skills to convey technical concepts to non-technical partners with low ego
How they work
- Annual Salary: $320,000—$405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
- However, some roles may require more time in our offices.
- We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Eligibility
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
How to apply
- 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 intelligence) or time working closely with a revenue team Experience growing a codebase that many people contribute to, inner-source or open-source Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis Exceptional communication skills to convey technical concepts to non-technical partners with low ego Representative projects (Illustrative of the kind of work, not a project list.) Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change Ship an MCP server that gives sellers and their agents governed access to a core revenue system Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action The annual compensation range for this role is listed below.
- We encourage you to apply even if you do not believe you meet every single qualification.
About Anthropic
✓ Verified
We have limited verified information about this company. You can still explore its active opportunities and check the official source.
200active opportunities
15observed locations
2work modes observed
AIHealthFinanceEducationMobilityPublic ImpactTechnologyEnergy
Other live opportunities at AnthropicObserved by Aptiora
Partner Manager, Global HealthSan Francisco, CA | New York City, NY · Hybrid→Partner Sales Manager, Systems IntegratorsSan Francisco, CA · Hybrid→Head of Technical TrainingSan Francisco, CA · Hybrid→Lead Technical InstructorNew York City, NY · Hybrid→Engineering Manager, SafeguardsLondon · Hybrid→If this one isn’t right.
Related live opportunities you can compare without restarting your search.
Direct employer source
Aptiora keeps the source available for trust and final verification while the working experience stays here.