Description
As the Manager of Emerging Talent for the AI Builder Program, you will lead, mentor, and scale a high-caliber team of AI-native graduates, and bring a completely fresh approach to problem-solving.
This is not a traditional engineering management role; it is a frontier-pushing leadership position designed to channel that native AI mindset into boundary-breaking, real-world customer transformations.
You will focus on people leadership and business mentorship, helping your team navigate their early careers while ensuring operational excellence.
Your primary mission is to translate their unique, intuitive relationship with AI into enterprise-grade success and translate academic computer science excellence into real-world, customer-facing success.
Key Responsibilities
1. People Leadership & Talent Development (40%)
- Channel AI-Native Superpowers: Champion and harness the unique, fast-paced 'group chat' 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.
2. Technical Leadership & Project Governance (30%)
- 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.
3. Graduate Builder Program Enablement & Strategy (30%)
- Pioneer Continuous Upskilling: Foster an active, experimental lab culture where testing the absolute limits of generative AI and Agentforce is celebrated.
- 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 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.
The Ideal Profile
- You have a deep background in computer science or software engineering.
- You understand object-oriented programming, data structures, and the current landscape of LLMs/prompt engineering.
- You are a seasoned consultant or customer-facing tech lead.
- You know how to read a room, handle a tough customer question during a live deployment, and unpack complex business requirements into technical user stories.
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.