Full-Time
GTM Strategy and Operations
Customer Success
Posted on 9/16/2025
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 requires staff to be in the office at least 25% of the time; current offices located in San Francisco and New York City; visa sponsorship available but not guaranteed; the role is not fully remote; hybrid with on-site expectations in SF or NYC at least 25%.
US Citizenship Required
 Sales & Account Management (5) |
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- 5+ years of experience in customer success strategy, revenue operations, or management consulting with focus on SaaS/enterprise software
- Deep expertise in customer health scoring, renewal forecasting, and portfolio optimization
- Strong analytical skills with experience in CRM and customer analytics platforms and BI tools (e.g. Salesforce, Looker, Gainsight or Catalyst)
- Proven track record of improving gross retention rates and net dollar retention in very fast paced, high-growth environments
- An ability to translate complex customer data into actionable strategic recommendations
- Demonstrated success in building scalable customer success processes and playbooks
- Strong project management and stakeholder influence skills across technical and business teams
- A healthy balance of customer empathy with data-driven decision making
- Bachelor's degree required; MBA or advanced degree preferred
- Partner with CS leadership to analyze and refine portfolio segmentation strategies, including resource scaling, allocation, and coverage models
- Develop and maintain customer health frameworks that predict renewal risk and expansion opportunities across different customer segments
- Support development of targeted retention and expansion strategies based on customer usage patterns, value realization metrics, and competitive landscape
- Maintain excellence through business reviews and operating cadences focused on gross retention, net retention, and customer satisfaction targets
- Build and evolve customer health scoring models that incorporate product usage, engagement metrics, and business outcomes
- Create predictive analytics for renewal forecasting and churn risk identification
- Analyze CSM/TSM performance metrics to optimize book of business assignments and coverage ratios
- Synthesize tangible recommendations for improving time-to-value, adoption rates, and expansion velocity
- Design and implement scalable customer journey frameworks that maximize value realization at each stage
- Develop playbooks for critical customer moments: onboarding, adoption milestones, renewal cycles, and expansion opportunities
- Create standardized success criteria and outcome measurements across different customer segments
- Partner with Product to ensure customer feedback loops drive roadmap prioritization
- Build data-driven renewal forecasting models and early warning systems for at-risk accounts
- Develop expansion opportunity identification frameworks based on usage patterns and untapped use cases
- Create pricing and packaging recommendations based on customer segmentation and value drivers
- Support executive-level renewal negotiations with business case development and ROI analysis
- Work closely with Sales, Product, and Engineering teams to align on customer success initiatives and provide feedback regularly
- Partner with Revenue Operations on management reporting, systems integration and process automation
- Collaborate with Finance on customer analysis to inform target setting and resource investment decisions
- Support coordination between pre-sales (AE/AAI) and post-sales (CSM/TSM) teams for smooth handoffs
- Experience with consumption-based pricing models and usage analytics strongly preferred
- Experience with AI/ML customer implementations and technical account management preferred
- 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.