Loading...
Anthropic · San Francisco, CA
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.
Anthropic launches products at lightning speed and many of them grow at an unprecedented pace, too. For no product is this more true than Claude Code, the fastest-growing software product in history. That said, speed of adoption is not the same as depth of adoption. We’re building a team of Technical Specialists to drive meaningful adoption breadth and depth in our most strategic customers. We’ll do this through delivery of high-quality technical engagement and enablement in the customer’s ~ 90 days before and after contract signature.
As a Technical Specialist, you’ll largely engage with customers post-sale. Once an account’s implementation set-up is complete, you’ll convert bottom-up developer passion into org-wide meaningful adoption through bespoke enablement tailored to the customer's stack, repos, and workflows and focused upon deep adoption of proprietary Claude capabilities, which we know drive stickiness.
You'll also engage in strategic pilots before signature — partnering with Sales, Applied AI, and the customer's engineering leads to scope the pilot, run the enablement, and instrument the success criteria that close the deal. Carrying that context from pilot into post-sale is what makes adoption stick.
This is not a technical implementation role — that work sits with our Implementation Specialists. You'll spend your time in front of developers launching Claude Code, department leaders adopting Cowork, on stage at customer events and Anthropic builder summits, and in Claude Code and Cowork, building the demo apps and reference implementations that prove what's possible.
You’re the kind of person engineers want to grab coffee with after your workshops — credible because you can open a terminal in the meeting and actually drive the tool, exciting because you've thought hard about how agentic AI changes how software gets built, and useful because you can answer the next three questions a senior platform engineer is about to ask about security, scale, or agent behavior.
Drive end-user excitement inside enterprise accounts (primary focus)
Design and deliver customer-specific enablement programs — workshops, office hours, "build your first agent" labs, role-based curricula for engineering, data, platform, security, and knowledge-worker audiences
Drive deep adoption of proprietary Claude Code capabilities that make our tools sticky (subagents, hooks, MCP servers, headless mode, managed settings) tailored to the customer's stack, repos, and actual workflows (CI/CD, IDE integration, source control, secure coding, agentic pipelines)
Enable and excite champions and AI Center of Excellence leads inside customer orgs, arming them to scale the motion without you in the room
Support strategic pilots with pre-sales technical enablement
Partner with Account Executives, Applied AI, and customer engineering leads on pilots for strategic accounts
Carry pilot context into post-sale engagement so the customer’s experience is seamless and deeply focused upon their unique needs
Run hackathons and builder events that create lasting momentum
Design, scope, and run on-site and virtual hackathons inside customer organizations
Bring the playbook: themes, judging rubrics, starter kits, prize structures, post-event follow-through that turns hackathon prototypes into shipped products
Partner with Anthropic Marketing and Events to amplify the best work from customer hackathons externally where appropriate
Build the demos, content, and reference implementations that sell themselves
Build production-quality demo apps, reference architectures, and code samples on the Claude Developer Platform, Claude Code, and Claude Enterprise (including Cowork) — using the products daily yourself as core infrastructure
Create technical content — tutorials, blog posts, recorded walkthroughs, internal "cookbooks" — tailored to enterprise developer audiences and their real workflows (CI/CD, IDE integration, secure coding, agentic workflows, multi-agent orchestration)
Translate new product capabilities into field-ready content within days of release
Be the trusted technical voice in front of customers
Deliver keynotes, technical talks, and live-coded demos at customer all-hands, internal AI summits, and Anthropic-hosted builder events
Run "ask me anything" sessions with customer engineering organizations and engage credibly on architecture, prompting, agent design, evaluation, developer workflow, and the honest limitations of where AI coding tools are today
Represent Anthropic with our customers' engineering communities and, where appropriate, the broader developer ecosystem
Partner across GTM and back to product
Partner closely with Sales, Applied AI, and Customer Success to sequence engagements that compound (pilot → activation → adoption → value)
Bring back signal from the field: what enterprise developers are asking for, where they're getting stuck, what would unlock the next leap in adoption, and feed it to Product and Engineering
Contribute to the playbook: capture what works in pilots and post-sale enablement, share with peers, raise the floor across the team
3–7+ years in a customer-facing technical role — Solutions Architecture, sales engineering, developer relations, or technical consulting.
You build, and you build with our products. You use Claude Code, the Claude Developer Platform, and Cowork as core infrastructure in your own work. You can ship a working demo over a weekend, steer an agent through a non-trivial task live, and have opinions about what's actually good.
You can hold a room of engineers. You've delivered technical talks, workshops, or training to engineering audiences — platform engineers, ML/AI teams, security-minded enterprise architects — and you know the difference between a session that creates awareness and one that creates champions.
Builder credibility. A career that includes meaningful time as a software engineer, founder, solutions engineer, developer advocate, or Solutions Architect. You've shipped code that other people have depended on.
Pilot and evaluation experience. You've supported technical evaluations or pilots in an enterprise setting — scoping, enablement, handling the security/admin/scale conversations without escalating everything to product.
Strong written and visual communication. Tutorials, decks, code comments, and Slack threads that people actually read.
Project management instincts. You can run a multi-week activation plan — or a pilot against a defined success metric — without dropping the ball.
Willingness to travel. Regular travel for on-site enablement, pilots, hackathons, and customer events. Some evenings and weekends around major events.
Deep enthusiasm for AI with hands-on experience building with LLMs and an instinct for how this technology should be used responsibly inside large organizations.
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.
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.
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.
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.
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.
