AI Delivery Lead

AI Delivery Lead We are 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. Responsibilities 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. 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. 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. 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. 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. Scope, Independence, Complexity & Influence Scope: Operates within a single engagement or small group of teams (~10‑12 teams). Focuses on tactical execution of AI delivery initiatives and direct team enablement. Independence: Works with guidance from senior AI Delivery Leads or Directors. Receives direction on new initiatives but is expected to execute independently. Owns specific team‑level outcomes and metrics, with regular check‑ins for alignment and support. Complexity: Addresses team‑level challenges and workflow optimization. Applies AI tools to solve concrete delivery problems. Supports teams in understanding and adopting new practices, with a focus on hands‑on enablement rather than strategic design. Influence: Influences team dynamics, behaviors, and performance within assigned scope. Helps teams adopt effective use of AI tools and processes. Builds credibility through demonstration and results rather than positional authority. Leadership & Collaboration Demonstrates urgency and bias for action in identifying and addressing team impediments. Leads by example, modeling AI‑enabled workflows and technical excellence. Mentors individual contributors and helps them develop AI proficiency. Facilitates cross‑team collaboration and knowledge sharing. Partners closely with Product and Engineering leads to understand team operations and priorities. Works with other AI Delivery Leads to share learnings and scale best practices. Engages stakeholders across functions (UX, CX, TPM) to drive end‑to‑end improvements. Required Qualifications 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. Technical Skills 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.). Preferred 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. Location & Office Expectations In‑office expectations are 36 days per quarter to support customers and/or collaborate with their teams. Benefits Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. Typical base salary range for this position is $123,100 - $186,300 annually. The range represents base salary only and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. Equal Opportunity Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. 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