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 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
Anthropic's Business Technology Engineering team builds the systems the company runs on. We own the internal platforms every employee uses and our collaboration tooling, and we embed engineers directly with Legal, Security, Communications, Product Operations and other business functions to rebuild how their work gets done with Claude at the center. Our mandate is to make Anthropic the best-run company in the world at using its own models internally, and to be the example our customers point to.
We are hiring an engineering leader to run this org. You will lead a growing engineering organization across two tracks: Platforms, which builds and operates the shared systems the company depends on, and Forward Deployed, which drops into a business function, proves Claude wins on a real workflow, hands off, and moves on. You will partner on defining the roadmap, build relationships with functional leaders, grow the team, and shape what forward deployed engineering looks like inside a frontier AI lab.
You'll report to the Head of Business Technology and IT, within the Security organization, and you’ll make up the full Business Technology function along with a team of Business Systems Analysts and Product Managers. Together, BizTech partners closely with IT Engineering on corporate systems and endpoints; with Security Engineering on data handling and permissions for agentic workflows; with Labs and Product on dogfooding and the internal builds that become external patterns; with GTM, who point Enterprise customers at this team as the reference for how Anthropic runs internally; and with the leaders of Legal, Workplace, Communications, Product Operations and Product Support, who are your customers.
Responsibilities
Lead and scale a global org of engineers; hire, level and develop the leads under you.
Partner, develop, and execute a year-plus roadmap for how Anthropic's business functions work with Claude, and the success metrics that go with it.
Run the Platforms track: reliability, velocity and scale of Claude Support and the platform layer that every employee depends on.
Run the Forward Deployed track: engagement portfolio, prioritization across functions, handoffs to durable owners, and adoption that actually moves.
Be the technical executive partner to the leaders of Legal, Workplace, Comms, Product Ops and Product Support; make the case for ambitious deployment and for the boundaries on it in the same conversation.
Partner with Labs and Product on dogfooding: feed load-bearing signal back ("here is the eval that shows the gap") and ship internal builds that become external product patterns.
Represent how Anthropic runs internally to Enterprise customers alongside GTM.
Set the engineering bar: production-adjacent builds, eval rigor, reusable patterns, responsible internal deployment with real data and real permissions.
You may be a good fit if you
Have 12+ years in software engineering and 6+ years leading engineers, including at least 3 years managing managers and at least one org of 20+ across multiple domains that you structured yourself
Have run internal-tools, business-systems or platform engineering at a company that added functions faster than it added engineers, and can speak to reliability outcomes on the platform side and adoption outcomes on the embedded side
Lead through technical judgment: whether or not you've been hands-on lately, you can go from an agent architecture to its eval design to its failure modes with your engineers, and your reviews make their builds better
Can walk a General Counsel, a Head of Workplace or a room of senior engineers with strong opinions through a trade-off, make a recommendation, and bring them to a decision they'll commit to
Can hold a high bar on craft while saying no to low-leverage work, and explain the no to the person who asked.
Want real ownership of how a frontier AI lab runs itself on its own models, and care about doing that responsibly — real data, real permissions, real people on the other end
Strong candidates may also have
Forward deployed, software engineering or applied AI leadership experience with external customers.
Product management experience or a track record partnering closely with PMs and analysts.
Experience with corporate systems (Salesforce, Workday, Google Workspace, Slack) at platform scale.
Have built the career rubric or leveling framework for a new kind of engineering role, or stood up a forward deployed function from zero
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.
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.
Skills Required
- 12+ years of software engineering experience
- 6+ years leading engineers
- At least 3 years managing managers
- Experience managing at least one organization of 20+ employees across multiple domains
- Experience leading internal-tools, business-systems, or platform engineering at a rapidly growing company
- Ability to evaluate agent architecture, evaluation design, and failure modes
- Ability to communicate technical trade-offs and drive decisions with senior business and engineering leaders
- Bachelor’s degree or equivalent combination of education, training, and experience
- Relevant field of study demonstrated through coursework, training, or professional experience
- Forward-deployed, software engineering, or applied AI leadership experience with external customers
- Product management experience or close partnership experience with product managers and analysts
- Experience with corporate systems including Salesforce, Workday, Google Workspace, or Slack at platform scale
- Experience creating engineering career rubrics or leveling frameworks
- Experience establishing a forward-deployed function from zero
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Healthcare Strength — Health coverage for employees and dependents is described as comprehensive across medical, dental, and vision, alongside robust mental-health resources. Feedback suggests this breadth, paired with life and income protection, is a standout element of the package.
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Parental & Family Support — Family-building support includes inclusive fertility benefits and an extended paid parental leave policy. Feedback suggests these programs are positioned as company‑wide and accessible rather than one‑off perks.
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Wellbeing & Lifestyle Benefits — Everyday support spans wellness/time‑saver stipends, education and home‑office stipends, commuter benefits, daily meals/snacks, and relocation assistance. Feedback suggests these perks meaningfully supplement core pay and healthcare.
Anthropic Insights
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
