Director of Technical Delivery
New
L
Leena AIEnterprise AI
United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 10 to 15 years in development, technical delivery, or professional services engineering leadership within growth-stage SaaS or AI-native companies.
- Required Skills
- JiraStakeholder managementSaaS
Requirements
- BS or BA degree from an accredited university.
- 10 to 15 years in development, technical delivery, or professional services engineering leadership within growth-stage SaaS or AI-native companies.
- Direct experience building and scaling customer-facing technical teams, including FDEs, engineers, or analysts.
- Experience presenting to and communicating with senior internal and client stakeholders, including C-suite, VPs, and Directors.
- Former hands-on developer, fluent in architecture diagrams and technical tradeoffs, without needing to write production code.
- Recent hands-on delivery of AI or ML-powered solutions at a growth-stage SaaS or AI-native company.
- Experience designing SDLC-style frameworks, tooling, and standards for repeatable, high-quality delivery.
- Exceptional written and verbal communication skills, with a feedback loop into Product and Engineering that has measurably matured a company’s offering.
- Ability to lead through influence across Sales, Product, Success, and Engineering without formal authority over those teams.
- Prior AI/ML product or technology experience is preferred.
- Familiarity with modern delivery or project management tools such as Jira or Rocketlane is preferred.
- Experience establishing a delivery function from scratch in a growth-stage or funding-constrained environment is preferred.
Responsibilities
- Hire, enable, and manage the day-to-day performance of the AI FDE team.
- Build the team’s organizational design and capacity plan as customer volume scales.
- Establish and enforce implementation procedures, success metrics, and escalation paths.
- Design delivery methodology, tooling, and QA frameworks for repeatable AI deployments.
- Oversee delivery from post-sale handoff through solution design and go-live to steady-state customer success.
- Coordinate handoffs between Sales, Implementation, and Account Management.
- Surface platform gaps and relay field feedback to Product and Engineering to inform the roadmap.
- Own team OKRs tied to go-live timelines, customer satisfaction, and net revenue retention.
- Represent AI delivery in cross-functional planning with Sales, Customer Success, Product, and Engineering leadership.
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