AI Delivery Lead

Salesforce•Seattle, WA

9d•Hybrid

About The Position

Salesforce is seeking an AI Delivery Lead who is passionate about transforming how teams work through AI-powered delivery practices. This hands-on role focuses on enabling individual teams and small engagements to adopt AI tools, optimize their workflows, and drive measurable improvements in delivery speed and quality. The ideal candidate combines technical depth, coaching ability, and change management skills to guide teams through the transition to AI-native ways of working. You will work closely with product managers, engineers, designers, and other stakeholders to embed AI into daily operations, experiment with new tools, and turn insights into action.

Requirements

5-7 years of experience in technical product management, engineering, or delivery roles
Demonstrated experience with AI tools and frameworks (LLMs, prompt engineering, context engineering, AI-assisted development)
Deep understanding of modern software development practices (CI/CD, version control, automated testing, observability)
Working knowledge of Agile frameworks (Scrum, Kanban) with willingness to adapt and experiment
Data-driven mindset with ability to set measurable goals and interpret results
Strong verbal and written communication skills, including facilitation, training, and stakeholder management
Proven ability to coach and influence delivery teams
A related technical degree required
Proficiency in at least one programming language (Java, Python, JavaScript, Go, etc.)
Familiarity with AI development tools (Claude Code, GitHub Copilot, or similar)
Understanding of software delivery metrics and analytics
Experience with collaboration tools (Slack, Jira/GUS, Git, etc.)

Nice To Haves

Professional experience as a software engineer, product manager, or Agile coach
Experience with generative AI, agent-based frameworks, and prompt engineering
Understanding of system thinking and organizational design principles
Experience driving adoption of new tools or practices through advocacy and training

Responsibilities

Champion AI-Enabled Delivery: Drive the adoption of AI tools and agents within assigned teams, helping them integrate AI into their daily workflows.
Coach teams on AI-assisted development practices, including prompt engineering, AI pair programming, and automated testing.
Foster a culture of experimentation and continuous improvement by providing guidance and guardrails for new AI tools.
Optimize Team Performance with Data: Track and analyze delivery metrics to identify bottlenecks and opportunities for AI-driven improvement.
Turn data into actionable insights, working with teams to implement changes that improve velocity, quality, and collaboration.
Build lightweight telemetry and dashboards to make performance visible and drive accountability.
Hands-On Problem Solving: Work directly with teams to remove impediments and address delivery challenges using AI capabilities.
Form hypotheses and drive experiments to test new AI-enabled workflows and practices.
Apply critical thinking over legacy best practices, helping teams discover what works in their specific context.
Enable Teams Through Change: Guide teams through the transition to AI-powered delivery models, addressing resistance and building confidence.
Facilitate workshops, training sessions, and demos to build AI literacy and adoption.
Partner with Product and Engineering leads to understand team dynamics and identify opportunities for improvement.
Drive Continuous Improvement: Proactively identify systemic issues that impact team performance and drive solutions.
Support the implementation of AI-PDLC and AI-SDLC practices within assigned scope.
Champion experimentation with new AI tools, methodologies, and ways of working.