Salary
💰 $190,000 - $240,000 per year
About the role
- Own the entire post-sales customer journey: onboarding, activation, renewals, and expansion to maximize customer value from voice AI
- Build customer success infrastructure from 0-to-1: playbooks, prompting guides, onboarding sequences, and scalable support systems
- Deeply understand customer pain points and friction across the journey, design strategies to streamline their experience, and build seamless feedback loops into Product and Engineering
- Establish metrics for success: define KPIs and health scores to measure adoption, retention, and expansion impact
- Create world-class enablement content and thought leadership: training materials, documentation, and insights
- Collaborate with GTM on activation strategies and identify expansion opportunities to improve product-led growth
- Embed with strategic accounts to understand use cases, remove blockers, and drive adoption
- Bridge technical and customer need and partner with Product and Engineering to remove friction and improve the product
- Build and lead the function: hire and manage a team as the role grows
Requirements
- 4+ years of professional experience
- 2+ years at a high growth startup in customer facing role
- Customer obsession (customer-obsessed)
- Excellent communicator - exceptional written and verbal presentation skills
- High-Impact Self-Starter - comfortable operating with minimal guidance
- Exceptional problem-solving skills; excel at taking complex, undefined problems 0 to 1, structuring solutions, and driving decisions with data
- Highly organized with bias towards action
- Excitement for the future of voice AI
- Technical degree (Computer Science, Engineering, Mathematics, etc.) — nice-to-have
- Customer success, onboarding, or account management experience at B2B SaaS companies — nice-to-have
- 2 years at a top tier consulting, investment banking, or private equity firm — nice-to-have
- Background building customer education programs or thought leadership content — nice-to-have
- Financial modeling and quantitative analysis experience — nice-to-have
- Experience with customer success tools and scaling customer-facing teams — nice-to-have
- Professional background in AI/ML or enterprise software — nice-to-have