Role overview
Employment type: Full-time
Pay: $165,000 - $190,000
Position summary
Manage the full customer lifecycle for an enterprise AI platform, from onboarding and implementation through renewal and expansion. You will help customers launch AI-powered customer experiences, drive adoption, and connect product usage to measurable business outcomes.
Working with customers and internal teams, you will serve as a long-term strategic advisor and turn successful deployments into repeatable practices and playbooks.
What you will own
- Manage a customer portfolio from post-contract onboarding through renewal and growth, taking responsibility for outcomes and long-term success.
- Drive adoption through onboarding, enablement, and ongoing engagement as customer workflows evolve.
- Define success criteria with customers and connect platform usage to business results.
- Advise stakeholders across revenue, marketing, and operations teams.
- Lead proactive renewal discussions and identify expansion opportunities.
- Monitor customer health and conduct business reviews focused on impact, priorities, and next steps.
- Share customer feedback to inform product direction and improve customer success practices.
- Develop repeatable approaches that support successful deployments across accounts.
What you will need
- 5+ years of experience in customer success, account management, implementation, or a similar customer-facing role in B2B SaaS.
- A track record of managing complex relationships with multiple stakeholders throughout onboarding, implementation, renewal, and expansion.
- Ability to take initiative and work effectively through ambiguity.
Preferred background
- Experience with enterprise B2B customers and go-to-market use cases.
- Familiarity with marketing automation, orchestration, or attribution platforms.
- Hands-on experience with Salesforce, Claude, or similar tools.
- PMP, CSM, or a similar certification.
Compensation and work environment
Total target cash includes base salary and a target incentive. Final compensation depends on skills, experience, qualifications, and location. Equity is offered, with stock options potentially included in the package. Benefits and additional compensation details will be discussed during the interview process.
Work in a fully remote environment with ownership and autonomy, collaborating with teams across AI, product design, and go-to-market operations.