Head of Deployments

present of AI; San Francisco (CA); Presencial; USD 150 000 - 210 000; Tempo integral

Resumo da oferta

Coval seeks a Senior Post-Sales Leader in San Francisco to own the customer lifecycle after sign-off, from kickoff to production and expansion, guiding engineers and strategists.

The ideal candidate has run a post-sale function, built playbooks and health metrics, and can communicate credibly with customer engineers and executives to drive retention and expansion.

Qualificações

• A strong candidate has run a post-sale function before, built its playbooks and health metrics, and can talk credibly with both customer engineers and executives.

Responsabilidades

• Own post-sale lifecycle from kickoff through production and expansion.
• Lead engineers and strategists delivering post-sale work.
• Manage people and large accounts; translate field lessons into product feedback.

Conhecimentos

Post-sale leadership

Account management

Technical stakeholder communication

Descrição da oferta de emprego

Customer & Solutions · San Francisco, CA, US · Full-time · Senior level

This role owns everything after a customer signs, from kickoff through production and expansion, and leads the engineers and strategists who do that work. A strong candidate has run a post sale function before, built its playbooks and health metrics, and can talk credibly with both customer engineers and executives. They also need to manage people, carry their own large accounts, and turn field lessons into product feedback.

How it fits the AI era

The product tests and monitors voice and chat agents, so the work sits close to how AI systems behave in production. Much of the account motion can be tracked and partly automated, but judging what evidence would convince a skeptical stakeholder and deciding which customer problem is worth building for stays human. The role is less about selling AI and more about making AI deployments actually hold up.

How it builds AI experience

The job offers hands on exposure to evaluating conversational agents: test cases, personas, metrics, and monitoring live calls. That builds a practical feel for where AI agents fail and how to measure them. Someone without this background could build it by learning evaluation and observability basics for voice and chat systems before applying.

Worth showing

• Retention and expansion ownership
• Managing technical teams
• API and developer tool fluency
• Evaluation and QA familiarity

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Coval

Enterprise simulation and evaluation platform that stress-tests voice and chat AI agents before deployment, per the company.