Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.
Anaconda is seeking a talented GTM Operations Analyst (Customer Success) to join our rapidly-growing company. This is an excellent opportunity to be the operational backbone of our Customer Success organization while applying your expertise to drive efficiency, automation, and data-driven decision making across the entire customer lifecycle. This role is critical to how we scale: your systems, workflows, and insights will directly influence how quickly customers realize value, how accurately we forecast renewals and expansions, and how efficiently our teams operate. You will enhance how customer data flows through our stack, strengthen the workflows teams rely on daily, and provide the visibility leadership needs to make confident decisions.
What You'll Do:Operational Strategy & Workflow Optimization
- Continue developing and refining CS operational strategy, focusing on scalable workflows that reduce time-to-value and strengthen customer outcomes.
- Map, optimize, and automate customer lifecycle workflows across CS with a strong focus on AI-driven improvements.
- Design and implement automated workflows for customer onboarding, renewal engagement, and churn prevention
- Identify operational bottlenecks and implement solutions that streamline handoffs, increase predictability, and ensure data flows seamlessly across systems.
Systems, Tooling & Automation
- Manage and optimize our CS tech stack (e.g., Salesforce, Vitally, analytics tools) while ensuring strong data hygiene and consistent system usage.
- Support renewal forecasting, churn/retention modeling, expansion tracking, and customer health analysis with clear, reliable reporting.
- Develop operating rhythms, QBRs, monthly reviews, team dashboards, that give leadership a clear view of trends, risks, and opportunities.
- Analyze renewal pipeline health, slippage patterns, and coverage metrics to inform CS strategy; support quarterly territory planning and account reassignment processes across CS segments
- Develop and maintain program-based engagement automation including email sequences, task creation, and CSM notifications
Data Analysis, Reporting & Program Support
- Support renewal forecasting, churn/retention modeling, expansion tracking, and customer health analysis with clear, reliable reporting.
- Build dashboards and reports tracking NRR, GRR, churn, expansion revenue, and customer health KPIs. Translate complex data into actionable insights and executive-ready presentations
- Partner with Business Intelligence to validate data models and improve customer success analytics.
- Support program management for initiatives such as NPS, tech stack governance, and customer experience improvements.
- 2-4 years of experience in Revenue Operations, Sales Operations, Customer Success Operations, or related roles in a SaaS environment.
- Strong Salesforce administration skills including Flows, validation rules, custom objects, CPQ, and reporting
- You embody our values of Clarity, Care and Candor
- You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
- Strong analytical and technical skills with hands-on experience building dashboards, data models, and automated workflows
- Comfortable working with CS, CRM, and analytics systems (Salesforce, Vitally, workflow or AI automation tools)
- Proven ability to refine workflows, diagnose operational inefficiencies, and deliver scalable solutions
- Solid understanding of SaaS customer metrics, health, adoption, retention, churn, expansion, and time-to-value
- Ability to create clarity in ambiguous situations, prioritize effectively, and manage multiple projects simultaneously
- Excellent communication skills and a collaborative mindset when working cross-functionally
- Familiarity with open-source, AI/ML, or data science ecosystems
- Experience working in a fast-paced startup environment
- You'll thrive in a high-performance environment where results are recognized and rewarded
- Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
- You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
- You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.
The application deadline for this role is 04/24/2026; applicants will be reviewed on an ongoing basis until the role is filled.
The base salary range for this role is $107,000 - $135,000 for candidates in New York City and San Francisco, and $81,000 - $119,000 for other US-based team members, along with annual bonus potential, equity participation, and benefits.
Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.
In addition to base salary, we offer a comprehensive benefits package that includes:
- Flexible Vacation Policy
- Medical, Dental, and Vision Insurance
- Short Term and Long Term Disability
- Paid Parental Leave
- Monthly Wellness Stipend
- Employee Assistance Program and Mental Health Resources
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.
By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.
Anaconda is an EEO/AA employer M/F/V/D.
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