Job Description

Customer Success Manager

AI/Data Start-up

Location: Bay Area (US) - office based

Salary: Circa $170k - $230k OTE + stock/benefits

We’re working with a seriously exciting, fast-scaling AI company that’s redefining how enterprises interact with their data. They’ve built a cutting-edge platform sitting at the intersection of AI, LLMs, and modern data stacks—and they’re now looking for a Customer Success Manager to join as one of the early hires supporting a growing enterprise customer base. This is not your typical CSM role. Think high-impact, technical, and highly strategic—working directly with customers to drive adoption, value, and long-term success with a truly innovative product.

The Role

As a Customer Success Manager, you’ll own the post-sale customer journey—driving onboarding, adoption, and expansion across a portfolio of commercial and enterprise accounts. You’ll act as a trusted advisor, partnering closely with technical and business stakeholders while working cross-functionally with Product, Engineering, and GTM teams to deliver real outcomes. This is a foundational hire, meaning you’ll also help shape how Customer Success is built as the company scales.

What You’ll Be Doing

• Owning relationships with enterprise customers from onboarding through renewal and expansion
• Driving product adoption and usage, ensuring customers realize measurable business value
• Acting as a strategic partner to both technical and non-technical stakeholders
• Leading onboarding, enablement sessions, and ongoing customer engagements
• Partnering closely with Support and Engineering to resolve technical challenges
• Identifying expansion opportunities and supporting commercial conversations
• Gathering and synthesizing customer feedback to influence product roadmap and priorities
• Building playbooks, processes, and best practices for Customer Success in a scaling environment

What They’re Looking For

• 4–7+ years in Customer Success, Technical Account Management, or similar roles
• Able to work from the Bay Area office 4 days per week
• Solid hands-on experience with SQL
• Experience working with technical products (data platforms, AI, SaaS, or similar)
• Good understanding of data workflows and modern data stacks (Snowflake, BigQuery, etc.)
• Comfortable engaging with both technical users and executive stakeholders
• Proven ability to drive adoption, retention, and expansion within enterprise accounts
• Highly proactive, structured, and comfortable in a fast-paced startup environment
• Strong communication skills with a consultative, problem-solving mindset

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