Enterprise AI Success Leader | Own $7–15M Book & Impact

Klarity; San Francisco (CA); Presencial; USD 180.000 - 240.000; Tempo integral

Benefícios oferecidos por esta vaga

Equity in addition to cash

Employer-paid Medical/Dental/Vision

Parental Leave

Learning Fund ($500)

Wellness Fund ($150)

401k via Betterment

Relocation support to SF Bay Area

Resumo da vaga

Within is seeking a senior client-facing leader to own a $7M-$15M book of enterprise AI accounts. You will drive onboarding, value realization, and executive-level engagement, working closely with Forward Deployed Engineers to translate requirements into real deployments.

You’ll manage renewal risk, expansion opportunities, and a data-driven approach to adoption metrics, while collaborating across Sales, Product, and Engineering to improve playbooks and outcomes.

Qualificações

• 5-7 years of relevant experience in enterprise software.
• Experience carrying $7M-$15M enterprise book and renewal/expansion.
• Shipped or supported live AI/agentic deployments.
• Comfortable with APIs, integrations, and data structures.

Responsabilidades

• Own portfolio health end-to-end: renewal, expansion, relationship.
• Drive onboarding and implementation sprints for quick AI outcomes.
• Collaborate with Forward Deployed Engineers on build scope and requirements.
• Run commercial cycle with Sales and own book KPIs.
• Lead executive-facing moments: QBRs and value readouts.
• Spot and scope expansion opportunities mid-engagement.
• Improve playbooks with field feedback and product input.

Conhecimentos

B2B SaaS

AI deployment

Forward Deployed Engineer

Problem structuring

Executive presence

Analytical thinking

Outcome oriented

Ferramentas

APIs

Integrations

Descrição da vaga

Within is seeking a senior client-facing leader to own a $7M-$15M book of enterprise AI accounts. You will drive onboarding, value realization, and executive-level engagement, working closely with Forward Deployed Engineers to translate requirements into real deployments.

You’ll manage renewal risk, expansion opportunities, and a data-driven approach to adoption metrics, while collaborating across Sales, Product, and Engineering to improve playbooks and outcomes.