Job Information
Anthropic PBC Partner Sales Manager, Systems Integrators in San Francisco, California
Responsibilities:
- Work directly with Sales Leaders, Account Executives and Solutions Architects, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes
- Build relationships across multiple levels of the partner organization from practice leads and delivery teams to alliance executives and serve as their primary point of contact at Anthropic
- Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets
- Develop and execute joint go-to-market plans with each partner, including target account mapping, pipeline generation activities, and co-sell motions with Anthropic's direct sales team
- Collaborate with enablement and program teams to get your partners trained, certified, and equipped with the materials they need to position Claude effectively
- Track pipeline health, forecast partner-attached revenue, and surface blockers early so cross-functional teams can help unblock them
- Gather signal from partner interactions what's landing, what's missing, where clients are pushing back and feed it into product and go-to-market planning
- Contribute to the development of partner sales processes, playbooks, and best practices as the function scales
You may be a good fit if you have:
- 7+ years of experience in partner sales, channel sales, alliances, business development or direct sales at a technology company where partners are heavily involved
- A demonstrated track record of driving revenue through partners you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction
- Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead
- Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them
- Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives
- A collaborative working style you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned
- Comfort with ambiguity and a willingness to create structure where it doesn't yet exist
- Willingness to travel to support partner relationships and joint customer engagements
- A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly
Strong candidates may also have:
- Experience working at a major Systems Integrator or global consulting firm, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology
- A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion
- Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design
- Experience managing partner relationships across multiple geographies
- A history of being an early member of a partner sales function and helping it scale
The annual compensation range for this role is listed below.
For sales roles, the range provided is the roles 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:
$300,000-$355,000USD
Logistics
Minimum education:Bachelors 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.comemail 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 linksvisit
anthropic.com/careers{target="_blank"}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 and Compute, Concrete Problems in AI Safety, and Learning fr