AI Builder, Emerging Talent Manager

About the role

The Manager of Emerging Talent for the AI Builder Program leads, mentors, and scales a high-caliber team of AI-native graduates, bringing a fresh approach to problem-solving. This role blends people leadership, technical direction, consulting mentorship, and program development, focusing on pioneering AI approaches to delivering extraordinary outcomes.

Responsibilities

• Channel AI-Native Superpowers: Champion and harness the unique collaboration styles and intuitive AI habits of recent graduates, turning their fresh perspectives into a competitive advantage for our delivery teams.
• Manage & Mentor: Act as the direct people manager for a cohort of Emerging Talent AI Builders. Deliver regular 1:1s, performance reviews, career development planning, and compensation management.
• Bridge the Gap: Help AI natives pivot from 'building experimental side projects' to deploying production-grade, secure, and ethical enterprise software, showing them how to scale their boundary-pushing ideas responsibly.
• Consulting Coaching: Teach technical grads how to "translate tech into business value." Coach them on active listening, stakeholder management, discovery sessions, presentation skills, and handling pushback from customers.
• Cultivating Belonging and Long-term Engagement: Establish a vibrant, inclusive atmosphere. Provide guidance through the specific challenges of early-career excellence, including managing rapid advancement paths, addressing imposter syndrome, and meeting the distinct professional needs of high-potential recent graduates.
• Agentforce Guardrails: Guide graduates through the design of agentic reasoning, prompt engineering, and tool calls. Ensure they are evaluating AI outputs with strict engineering rigor rather than trial-and-error.
• Technical Coaching: Support Graduates in building scalable and secure agentic solutions. Act as an internal technical sounding partner when a Graduate encounters roadblocks, ensuring they are equipped to succeed.
• Pioneer Continuous Upskilling: Foster an active, experimental lab culture where testing the absolute limits of generative AI and Agentforce is celebrated. Use insights gained from your cohort's rapid experimentation to feed back into the broader organization's upskilling initiatives.
• Project Matching & Bench Management: Oversee the pipeline of customer work, strategically pairing Grads with projects that stretch their technical capabilities while balancing business needs.
• Development Milestones: Build, track, and optimize a 12-to-24-month competency matrix detailing when a Grad is expected to master specific technical tracks (e.g., Real-Time Infra) and consulting pillars.
• University Recruiting Partner: Collaborate with the University Recruiting team to interview, assess, and attract top-tier Computer Science talent from target universities.

Qualifications & Requirements

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a highly technical discipline.
• Experience: 5+ years of experience in technical consulting, solution architecture, software engineering, or a highly technical customer-facing role.
• Leadership: 1+ years of experience managing technical teams, acting as a tech lead, or significantly mentoring early-career engineers/consultants.
• Technical Fluency: Proficient in at least one classic powerhouse language (Python, JavaScript/TypeScript, Java) and a solid understanding of modern web architectures (React, REST APIs, GraphQL).
• AI/LLM Curiosity: Practical, hands-on experience or profound familiarity with Generative AI frameworks, prompt engineering, and LLM orchestration.