Full-Time
GTM Strategy & Operations
Partnerships
Posted on 9/18/2025
Anthropic
5,001-10,000 employees
Develops reliable, interpretable AI systems
Compensation Overview
$190k - $270k/yr
H1B Sponsorship Available
San Francisco, CA, USA + 1 more
More locations: New York, NY, USA
Hybrid
Location-based hybrid policy: staff expected in one of the offices at least 25% of the time; multiple office locations listed; visa sponsorship available.
 Data & Analytics (4) |
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- 5+ years of experience in operations, analytics, or management consulting supporting partnerships or channel organizations
- Advanced analytical skills with expertise in partner management platforms, CRM systems, and BI tools (e.g., Salesforce, Crossbeam, Looker)
- Proven ability to build operational infrastructure and measurement systems that scale in fast paced or hypergrowth environments
- Experience supporting cloud provider co-sell programs and enterprise SI relationships preferred
- Excellence in translating complex data into concise, clear insights that enable executive decision-making
- Strong project management skills with ability to influence stakeholders across technical, sales, and partner teams
- Track record of creating actionable insights from complex partner ecosystem data
- A balance of analytical rigor with practical understanding of partner ecosystem dynamics
- A desire and readiness to do the best work of your career
- Bachelor's degree required; MBA or advanced degree preferred
- Build and maintain KPIs and management dashboards tracking partner pipeline, revenue contribution, attach rates, and field activation across cloud providers and SI partners
- Design partner health scoring frameworks to measure enablement progress, sales activation, and revenue performance across channel partner sales teams
- Create analytical models for partner pipeline forecasting, joint opportunity conversion rates, and partner-influenced revenue attribution
- Prepare executive-ready analytics for business reviews, partner negotiations, and board reporting
- Facilitate coordination between direct sales and partner teams through unified metrics and joint account planning insights
- Analyze partner segmentation and coverage models to surface insights that inform resource allocation decisions
- Support business case development for new partner initiatives with ROI analysis and scenario modeling
- Identify strategic opportunities within the partner ecosystem through data analysis and competitive intelligence
- Enable alignment between Sales, Product, Marketing, and Finance through shared partner performance visibility
- Translate complex partner ecosystem data into actionable recommendations for leadership and stakeholders
- Define operating cadences and reporting rhythms for Partnerships management reviews
- Work with Revenue Operations systems and reporting teams on partner CRM integration, deal registration systems, and data infrastructure requirements
- Collaborate to create operational playbooks for core partner motions such as marketplace listing, co-sell activation, or lead and deal registration
- 5+ years of experience in operations, analytics, or management consulting supporting partnerships or channel organizations
- Advanced analytical skills with expertise in partner management platforms, CRM systems, and BI tools (e.g., Salesforce, Crossbeam, Looker)
- Proven ability to build operational infrastructure and measurement systems that scale in fast paced or hypergrowth environments
- Experience supporting cloud provider co-sell programs and enterprise SI relationships preferred
- Excellence in translating complex data into concise, clear insights that enable executive decision-making
- Strong project management skills with ability to influence stakeholders across technical, sales, and partner teams
- Track record of creating actionable insights from complex partner ecosystem data
- A balance of analytical rigor with practical understanding of partner ecosystem dynamics
- A desire and readiness to do the best work of your career
- Bachelor's degree required; MBA or advanced degree preferred
Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.
Company Size
5,001-10,000
Company Stage
Late Stage VC
Total Funding
$77.3B
Headquarters
San Francisco, California
Founded
2021
Simplify's Take
What believers are saying
- Anthropic signed $1.8B seven-year cloud deal with Akamai in 2026.
- Anthropic accesses 220,000 Nvidia GPUs via SpaceX Colossus lease.
- Anthropic fields $1tn valuation offers amid $40B annualized revenue.
What critics are saying
- Litigation erupts in 3-6 months from voiding Forge and Hiive trades.
- SpaceX reclaims GPUs in 12-24 months if Claude harms humanity.
- South Korea and Singapore regulators ban Claude in 6-12 months.
What makes Anthropic unique
- Anthropic pioneered constitutional AI to train Claude models on ethical principles.
- Anthropic operates as public benefit corporation prioritizing AI safety and reliability.
- Anthropic founded in 2021 by ex-OpenAI leaders Dario and Daniela Amodei.
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Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -3%2 year growth
↑ 1%Mozilla has discovered 271 security vulnerabilities in Firefox 150 using early access to Anthropic's Mythos Preview AI model. The findings represent a significant increase from the 22 bugs detected by Anthropic's Opus 4.6 model in Firefox 148 last month. Firefox CTO Bobby Holley said Mythos is "every bit as capable" as the world's best security researchers, whilst eliminating the need to "concentrate many months of costly human effort to find a single bug". He believes AI tools like Mythos tilt the cybersecurity balance towards defenders by making vulnerability discovery cheaper. Anthropic released Mythos Preview to a limited group of industry partners earlier this month. Mozilla CTO Raffi Krikorian argues such tools are particularly crucial for open source projects, which often rely on insufficient volunteer maintenance for security.
Anthropic's new AI model Mythos has sparked concern amongst policymakers at International Monetary Fund meetings over its potential to accelerate sophisticated cyberattacks on the global financial system. However, its developers argue the technology could provide banks with their strongest defence yet. What distinguishes Mythos is its ability to chain multiple security weaknesses into coordinated attacks, effectively automating complex cyber intrusions. This capability could significantly expand the pool of potential attackers in the near term. The model's creators emphasise a longer-term benefit: the same technology could enable banks to detect and patch vulnerabilities faster than ever, potentially shifting the balance towards defenders if widely adopted. The dual-use nature of Mythos has created both panic and optimism in boardrooms and governments regarding global financial system security.
Indian fintech companies including One97 Communications, Razorpay Software and Pine Labs are pushing Anthropic for early access to Mythos, the AI model that has raised global concerns about cyberattack risks. The firms want to test Mythos on their own systems to detect vulnerabilities following Anthropic's announcement of a limited rollout. The San Francisco-based AI developer considers the model too dangerous for wider release but major Indian financial technology companies are seeking early access to assess potential security threats to their platforms.
The US government is preparing to provide major federal agencies with access to Anthropic's new AI model, Mythos, according to a memo reviewed by Bloomberg News. Gregory Barbaccia, federal chief information officer at the White House Office of Management and Budget, informed Cabinet department officials on Tuesday that OMB is establishing protections to enable agencies to use the closely guarded AI tool. The move comes amid concerns that the powerful model could significantly increase cybersecurity risks. OMB is working to set up appropriate safeguards before rolling out access to the system across government departments.
Anthropic's new Mythos AI model is causing concern among banks, tech giants and governments over its potential implications for cybersecurity and the internet's future. The model has prompted a scramble amongst major institutions to understand its capabilities and risks. Details about the specific features raising alarms were not disclosed in the source material.