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.
As a Senior Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales — you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not.
This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for a partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partnerships, North and work closely with Sales, Applied AI Customer Success, and Product to make sure our partners have what they need to close — and to deliver transformative AI solutions for their clients.
Key responsibilities- Work directly with Sales Leaders, Account Executives and Applied AI, 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 sales/commercial 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
- 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
- 12+ years of experience in partner sales, channel sales, alliances, or direct sales at a technology company where partners are heavily involved
- A demonstrated track record of driving revenue through partners or direct sales — 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
- 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
- Experience working as a direct seller in an Enterprise business and/or a major Systems Integrator, 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 is a plus
- A history of being an early member of a partner sales function and helping it scale.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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 experience in partner sales, channel sales, alliances, or direct sales at a technology company where partners are heavily involved
- Demonstrated track record of driving revenue through partners or direct sales
- Strong commercial instincts, including co-sell agreement structuring and multi-party deal management
- Experience in early-stage or high-growth environments where processes are still forming
- Excellent communication and relationship-building skills across all organizational levels
- Collaborative working style with cross-functional Sales, Product, and Delivery teams
- Willingness to travel for partner relationships and joint customer engagements
- Genuine interest in AI and commitment to safe and responsible AI development
- Bachelor's degree or equivalent combination of education, training, and experience
- Relevant field of study demonstrated through coursework, training, or professional experience
- Experience as a direct seller in an enterprise business or major systems integrator
- Background in AI, cloud platforms, developer tools, or similar technical categories
- Familiarity with consumption-based or API-first business models and partner economics
- Experience helping establish and scale a partner sales function
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.
