
Support Vendor Operations Manager
Quick Summary
calibration sessions, audits, and scorecards aligned to Anthropic's standards for accuracy, safety, and brand voice Close the loop between QA findings and coaching,
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,
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
~1 min readAnthropic's Product Support organization is scaling rapidly to meet the needs of a fast-growing global customer base. As we build out tiered, 24/7 enterprise support offerings, our vendor and contractor partners are a critical lever for delivering consistent, high-quality support across time zones and channels.
As the Support Vendor Operations Manager, you'll be the program management engine behind Anthropic's vendor and contractor operations — driving day-to-day performance, SLA attainment, quality, and knowledge transfer across our partner sites. You'll work closely with vendor site leads and internal stakeholders to make sure our partners have what they need to perform, stay current on Claude's products, and deliver an excellent customer experience. You will focus on turning strategy and contracts into reliable, measurable on-the-ground performance.
Responsibilities
~1 min read- Monitor day-to-day vendor and contractor performance against SLAs and KPIs across all partner sites; surface risks early and drive corrective action
- Run weekly and monthly performance reviews with vendor site leads; track trends and follow through on action items
- Partner with Support Operations and WFM on capacity, scheduling, and shrinkage issues that affect SLA attainment
- Escalate persistent performance issues to the Vendor Management Lead with clear data and recommended next steps
- Run the quality program for vendor and contractor agents: calibration sessions, audits, and scorecards aligned to Anthropic's standards for accuracy, safety, and brand voice
- Close the loop between QA findings and coaching, partnering with vendor site leads on agent-level performance
- Track CSAT and quality trends and translate them into concrete improvement plans
- Own the knowledge transfer process for new product launches, feature releases, and policy changes — making sure vendor and contractor teams are ready on day one
- Maintain vendor- and contractor-facing resources (runbooks, macros, knowledge base articles, training materials) and keep them current as products evolve
- Partner with Support Operations and Learning & Enablement to deliver ongoing enablement and refresher training
- Serve as the day-to-day point of contact for vendor and contractor questions on product, process, and tooling
- 3–6 years of experience in support operations, vendor/BPO program management, or a related operational role
- Track record of driving performance against SLAs and quality metrics in a customer support environment
- Strong program management skills — you can run a recurring operating cadence, track action items, and follow through without being chased
- Experience building and maintaining enablement content (runbooks, KB articles, training materials)
- Comfortable working with data to spot trends and tell a clear story about performance
- Excellent cross-functional collaboration skills — you'll work closely with vendor site leads, Support Ops, L&D, and product teams
- Genuine curiosity about AI and enthusiasm for helping Anthropic's customers succeed
Nice to Have
~1 min read- Experience with tiered or paid enterprise support models
- Familiarity with AI-augmented support workflows
- Background working with follow-the-sun vendor operations across AMER, EMEA, and APAC
- Experience with Intercom or similar support tooling
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
Listing Details
- Posted
- April 10, 2026
- First seen
- March 25, 2026
- Last seen
- April 11, 2026
Posting Health
- Days active
- 16
- Repost count
- 0
- Trust Level
- 83%
- Scored at
- April 11, 2026
Signal breakdown

Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable artificial intelligence systems. Founded by former OpenAI members, the company develops the Claude family of large language models with a primary focus on ensuring AI's long-term benefit to humanity.
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