This is not primarily an instructional design or classroom facilitation role. You should be comfortable writing code, debugging technical systems, and teaching practitioners who may know more than you do about their particular domain.
You will report to the Head of Technical Training.
Key responsibilities
Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones.
Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth.
Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic’s practice-teach, feedback, and certification processes.
Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content.
Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room.
Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic’s standards.
Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development.
Help evolve Anthropic’s technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality.
Minimum qualifications
6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role.
3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely. You know how to make difficult technical concepts click and how to adapt when they do not.
Production engineering experience. You have written and shipped production software and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs.
Recent hands-on AI development. Within the past three years, you have built or debugged applications using LLM APIs, agents, tool use, MCP, or related technologies. You are comfortable with rapidly changing AI development tools and unfamiliar technical problems.
Instructor development experience. You have helped other instructors or technical presenters improve through observation, structured feedback, practice teaching, or train-the-trainer programs.
New York City location or willingness to relocate. You will work from our NYC office whenever an instructor-led program is in session there, typically around three days per week. The role includes approximately 25% travel to San Francisco and, over time, Europe.
Preferred qualifications
Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program.
A portfolio of sessions, labs, or courses you have designed and taught, plus material you created so others could teach it.
Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions.
Experience using Claude Code or a comparable agentic coding tool as a significant part of your engineering workflow.
Experience building with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure.
Experience with public speaking, conference workshops, or developer advocacy.
Deep enthusiasm for AI and a genuine commitment to building and deploying it responsibly.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$270,000—$365,000 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.
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
