Manager, AI Success

 

 

 

• Lead, grow, and mentor a team of AI Success Managers; own team performance, operating rhythms, and career development.
• Establish prescriptive delivery playbooks, templates, and operating standards (SSO, people data, connectors, readiness gates) to ensure consistent, high-quality deployments at scale.
• Own end‑to‑end delivery governance across your team’s accounts: kickoff, plan, deploy, go‑live, handoff, and renewal‑readiness, including proactive risk management and escalation handling.
• Set and report on portfolio‑level KPIs (deployment velocity, time‑to‑value, adoption, satisfaction, ROI proxies), and drive continuous improvement against these metrics.
• Partner with Sales, Solution Architects, AI Outcomes Managers, Support, and R&D to ensure a seamless customer journey and accelerate value realization post‑launch.
• Engage with executive sponsors and customer program leads to align on goals, joint success plans, and measurable outcomes; serve as a strategic advisor when tradeoffs arise.
• Systematize feedback loops from field to product; influence roadmap and readiness (connectors, deployment tooling, admin UX, observability) with clear business impact cases.
• Raise the delivery bar: improve onboarding processes, documentation, playbooks, and tooling; champion operational excellence across planning, execution, and closeout.

• 6+ years in customer-facing delivery, implementation, technical account management, or consulting for enterprise SaaS; 2+ years leading/managing delivery or customer success/PS teams.
• Strong understanding of SDLC and modern delivery practices (Agile/DevOps), with the ability to guide hands-on work in SSO setup, people data, and enterprise connector configuration.
• Proven record of building playbooks, standardizing processes, and running delivery at scale with clear KPIs and continuous improvement cycles.
• Executive presence and clear communication; comfortable leading escalations, aligning cross‑functional stakeholders, and making outcome‑oriented decisions.
• Analytical, systems-thinking mindset; adept at diagnosing deployment blockers and translating field insights into product/process enhancements.
• Cloud fluency (AWS, Azure, or GCP). One of the following—or willingness to obtain within 90 days—is a plus: AWS Certified Cloud Practitioner, Microsoft Certified Azure Fundamentals, or Google Cloud Digital Leader.

• This role is hybrid (4 days a week in our Mountain View office)

Compensation & Benefits:

The standard OTE range for this position is $210,000-$250,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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