Senior Technical Customer Success Manager - Enterprise, East
Anaconda· Customer Success
Hybrid (EST)$96k - $139k + equity + bonusFull-timePosted 3w ago
About the role
Senior Technical Customer Success Manager owning a portfolio of enterprise accounts in the East Coast territory, blending deep technical fluency in Python packaging, environment management, and enterprise security with strategic customer advocacy to ensure value realization, adoption, and renewal.
Responsibilities
- Own a portfolio of enterprise accounts. Build deep relationships across complex organizations beyond the initial contact.
- Accelerate onboarding and initial adoption: environment setup, CVE policy configuration, private repo and channel tokenization, initial workflow adoption, and resolving blockers to time-to-value.
- Drive ongoing usage health and consumption: monitor seat utilization, package and channel usage, admin signals to identify underutilized licenses or risk, engage AE for expansion or churn risk.
- Arrive at every customer interaction with a prepared point of view using product usage data and health signals to drive value-focused conversations.
- Own technical inputs to account health scoring: surface risks (CVE exposure, blocked access, unmanaged environments) and coordinate mitigation with RM, Support, and FDE.
- Voice of the customer to Product/Engineering: channel requirements, competitive intel, enhancement requests; partner with Solutions Engineering.
- Build the technical narrative for QBRs and executive engagement; document use cases, quantify value, and substantiate business impact at the executive level.
- Support renewal and expansion: bring technical proof points into renewal discussions, advise on churn forecast, flag expansion opportunities for commercial pursuit.
- Use AI as a force multiplier: develop AI-enabled success approaches and ensure responsible use in customer motion.
- Contribute to playbooks and team infrastructure: documentation, engagement templates, peer coaching, process improvements.
- Mentor and coach less experienced team members through account reviews and technical strategy sessions.
- Operate within a Go-To-Market pod, collaborating with AE, Renewal Manager, Solutions Engineer, and other pod roles.
Qualifications
- 6+ years in a technical customer-facing role with ownership of a $6M+ book of business and accountability for retention and growth at large enterprise accounts (10,000+ employees)
- Understanding of enterprise security and governance concepts (CVE exposure, package provenance, air-gapped and private repo deployment, SSO, gated registration)
- Experience with data science, ML, or developer tooling platforms (e.g., Databricks, Domino, Dataiku, SageMaker) and familiarity with Anaconda’s positioning in these environments
- Ability to read logs and triage technical issues, distinguishing between self-resolving, Support, and Product escalation
- Proven ability to build relationships across complex organizations and translate technical risk into business impact for executive audiences
- Familiarity with adjacent/competitive tooling (SageMaker, Databricks, Snowflake, Vertex AI) and capability to articulate complement-vs-compete
- Project management skills to coordinate multi-stakeholder technical engagements (onboarding, workshops, proofs of concept)
- Strong verbal and written communication across all organizational levels, including executives
- AI fluency in daily work with responsible use and rigorous self-review of outputs
- Bachelor’s degree in a technical field or equivalent practical experience
Skills
Required:Enterprise relationship managementTechnical storytelling and value articulationTechnical triage and debugging
Benefits
- 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
Last updated Sep 30, 2026. Interested? Apply on the company site.
About Anaconda
Trusted Foundation for Enterprise AI
Anaconda is the birthplace of Python data science. We are a movement of data scientists, data-driven enterprises, and open source communities.
Data ScienceAIOpen SourcePython PackagesEnterprise Governance
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