AI Builder, Emerging Talent Manager

Salesforce; Denver (CO); Hybrid; USD 155,190 - 263,060; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Paid parental leave

401(k) plan with company match

Employee stock purchasing program

Job summary

Salesforce in Denver, CO is looking for a Manager of Emerging Talent for the AI Builder Program. In this role, you will lead the mentorship of early-career AI talent, transforming their innovative ideas into high-impact business strategies while navigating the unique challenges of their professional journey.

The ideal candidate will possess strong technical acumen combined with leadership abilities and a passion for fostering young talent in a collaborative, fast-paced environment. The role offers a chance to shape the future of the workforce with cutting-edge AI technology.

Qualifications

• 5+ years in technical consulting or related role.
• 1+ years managing technical teams.
• Hands-on experience with generative AI frameworks.

Responsibilities

• Lead a cohort of Emerging Talent AI Builders.
• Manage and mentor early-career engineers.
• Guide graduates in designing agentic reasoning and prompt engineering.

Skills

Object-oriented programming

Data structures

Communication

Customer-facing skills

Empathy

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

JavaScript/TypeScript

React

Job description

Manager of Emerging Talent for the AI Builder Program at Salesforce.

Key Responsibilities

• 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.
• 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.
• 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. 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.

The Ideal Profile

• Deep background in computer science or software engineering, with a strong grasp of object‑oriented programming, data structures, and the current landscape of LLMs/prompt engineering.
• Seasoned consultant or customer‑facing tech lead capable of reading a room, handling tough customer questions during a live deployment, and translating complex business requirements into technical user stories.
• Strong communication, empathy, and business acumen considered core engineering skills.
• Energized by working with early‑career talent that naturally thinks AI‑first, guiding their ambition to push boundaries and refine raw creativity into high‑impact business strategy.

Qualifications & Requirements

Minimum Qualifications:

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a highly technical discipline.
• Experience: 5+ years in technical consulting, solution architecture, software engineering, or a highly technical customer‑facing role.
• Leadership: 1+ years managing technical teams, acting as a tech lead, or 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). Passion for high quality code and best practices (OOP, SOLID, Git, etc.).
• AI/LLM Curiosity: Practical, hands‑on experience or profound familiarity with Generative AI frameworks, prompt engineering, and LLM orchestration.

Preferred Qualifications:

• Experience managing university graduate programs, technical rotation programs, or tech boot camps.
• Direct experience with the Salesforce ecosystem, Apex, or building on Agentforce.
• Background in Enterprise Agile delivery and technical scoping.

Why This Role is Unique

Unlike traditional engineering managers focused solely behind the scenes, or consulting managers centered on utilization metrics, this position places you at the epicenter of a workforce revolution. You will lead a generation of AI natives who will fundamentally rewrite how businesses operate. You have a blank canvas to push boundaries, experiment with leading‑edge agentic technology, and serve as the premier showcase for Salesforce's company‑wide up‑skilling strategy.

Benefits

Salesforce offers a variety of benefits to help employees 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. Benefits details are available at https://www.salesforcebenefits.com.

Accommodations

If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form.

Posting Statement – EEO

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Recruiting, hiring, and promotion decisions are based on merit and do not consider protected categories such as race, religion, color, national origin, sex, sexual orientation, gender identity or expression, transgender status, age, disability, veteran status, marital status, political viewpoint, or other classifications protected by law.
In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Base salary for this position ranges from $155,190 to $263,060 annually, with higher ranges in certain high‑cost locations.