- Location
- Remote-Friendly (Travel Required) | San Francisco, CA · San Francisco, California, United States
- Workplace
- Onsite, Remote
- Department
- Sales
- Seniority
- Director
- Source
- Greenhouse
Description
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 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 the leader of Partner Services Delivery and Success within Partnerships at Anthropic, you will lead the global field delivery, partner success and partner health teams that make Claude deployments succeed at our customers when our partners build and run them. This is a senior leadership role on the Partnerships leadership team, reporting to the Global Head of Partnerships.
A deployment starts with work the business wants an agent to do: a research process in a bank, claims handling at an insurer, engineering workflows in a retailer. A partner's engineers build it against the customer's own systems and data, evaluate it on real work rather than a demo, and put it live. If it holds, the customer builds the next ten themselves and the partner carries the pattern to the next customer in that industry.
What good means is the same every time, whoever builds it: on time, on track, high quality, high customer satisfaction, and impact the customer can see in their own business. Holding that across thousands of deployments a year, almost none of which your own people build, is the job.
This is a build, and it is a scaling problem. The function is new, the teams are mostly still to be hired, demand is growing far faster than any team can be hired against it, and the way we deploy agents is changing faster than a method written down in advance can keep up with.
What you will own
- Deployment strategy and approached. Bringing the best ways to deploy Claude to our customers through partners: which deployment approaches we back, which partners we build them with, and how both change as the models and the use cases move.
- Field delivery. A global organisation across the Americas and international markets, which you hire, lead and grow. Our own people, in region, alongside the partner's team on live engagements: they run the delivery cadence, hold the work to date and quality, and are the first to know when something is going wrong. Most of the team sits here, and it is accountable for deployments landing on time and on track, to a high quality bar, with high customer satisfaction and impact the customer can see in their own business, against the customer's own deployment plan rather than a partner work order.
- Delivery assurance. The standard a Claude deployment is held to, how it is inspected on live engagements, and how a shortfall gets back to the partner as root cause rather than as a complaint. Where a partner's own delivery practice meets that standard, you approve them to carry the work and you assure the result.
- Partner success. The partner's own capability to deliver. One person is the point of contact across everything a partner is building, and the method is built with partners rather than handed to them: the patterns that worked on real engagements, turned into something the next partner can run, and the centres of excellence inside our largest partners that let their own engineers deliver to our standard.
- Partner health and escalation. An honest read on how every partner is really performing, held apart from the teams that own the commercial relationship so the score can be trusted. A falling score starts an escalation, and it is how we decide what a partner is ready to take on next.
- Working with the account team. Account executives, the partner account and success teams, and the partner's own delivery leadership, so that a deployment has one plan and one set of owners rather than three.
- The relationships. Delivery leadership at our largest partners, technology and business leadership at their clients, and Applied AI, Customer Success, Sales, Product and Engineering inside Anthropic. Most of what you need you will not control, so this role is carried by trust rather than reporting lines.
- The bench. Delivery capability in markets that do not yet have any, built with partners who have not done this work before.
You will also build the measurement, since knowing whether a deployment is working is still largely done by the people closest to it; make your own organisation AI-native, running the delivery records, the quality signals and the pattern-finding on Claude; act as the executive sponsor in our most strategic partner-led deployments; travel to partner and customer sites and to conferences for executive-level sessions, technical workshops and relationship building; and stay current with emerging AI trends and the evolving partner market.
You may be a good fit if you
- Have 15+ years in technical delivery, professional services or solutions leadership, including several years leading leaders.
- Have built a delivery organisation rather than inherited one, and have executed through a period when its volume changed by an order of magnitude.
- Have been accountable for whether large enterprise deployments reached production and were used, not only whether they were delivered to plan.
- Have run delivery through other people's engineers and still held the quality bar, so you know the difference between assuring work and policing it.
- Have worked with or inside global systems integrators and advisory firms, and understand how their delivery practices, staffing and economics actually work.
- Understand how to contribute to running a GTM organisation anchored on a consumption business model, not SaaS sales cycles.
- Have deep technical proficiency with enterprise AI use cases and agent architectures, and have built with LLMs yourself, including evals and the gap between something that works in review and something that survives in production.
- Have strong executive presence and build deep, durable relationships with technical and business leaders, at our partners and at their clients.
- Have a passion for making powerful technology safe and societally beneficial.
- Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.
Strong candidates may also have
- Led delivery in the first years of a technology. Built the method while delivering with it, and turned what worked on one engagement into what the next hundred start from.
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.
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.
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.