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About the Role

Salesforce is seeking a technical product leader with deep AI expertise to join an entrepreneurial incubation team focused on building the next generation of Agentforce. This role involves shaping product strategy for AI quality and evaluation, establishing measurement criteria, and leading customer quality workstreams and feature development from concept to delivery.

Responsibilities

Set a coherent product strategy and roadmap for AI quality and evaluation, connecting customer needs, technical opportunities, and measurable business outcomes.
Establish shared quality definitions, evaluation requirements, coverage priorities, and release criteria with research, engineering, and product partners.
Make explicit investment tradeoffs across customer quality improvements, evaluation capabilities, and product features; align teams on priorities and decision ownership.
Personally lead customer investigations and experiments.
Build an operating approach that connects customer feedback, evaluation evidence, experiments, releases, and learning across teams.
Partner with researchers, applied scientists, and engineers to design credible evaluations.
Lead delivery of capabilities that help customers understand and improve AI performance.
Coach product partners, junior designers, and technical program managers in problem framing, experimentation, and delivery; raise the quality of decisions through mentorship and practical example.
Bring verified competitive insight into strategy and communicate differentiation, limitations, and investment choices clearly to customers and senior stakeholders.

Requirements

A record of building AI/ML products and delivering measurable customer outcomes, with increasing ownership, scope, and impact.
Deep hands-on experience building AI agents and evaluation capabilities in close partnership with AI researchers, applied scientists, or AI engineers.
One to two years of substantive generative AI experience can be sufficient when supported by strong AI/ML fundamentals and demonstrated impact.
Strong applied AI/ML judgment across model behavior, prompting, retrieval, agent/tool workflows, and the tradeoffs among model, data, system, and product improvements.
Current hands-on ability to inspect data and traces, prototype with coding agents, and reason about experiments, overfitting, training/test splits, edge cases, and uncertainty.
You can define what good looks like for a non-deterministic system and challenge conclusions with technical partners.
Principled, flexible thinking: frame the underlying customer problem, test assumptions, and change direction when evidence warrants it.
You can explain when lessons from a previous product apply and when the context demands a different approach.
Experience establishing shared standards and resolving cross-team disagreements while preserving clear accountability and delivery momentum.
Evidence of coaching and mentoring colleagues without relying on reporting authority, and the ability to deliver independently in a fast-moving environment.
Clear communication with customers, technical teams, and senior leaders, including an honest account of what is known, uncertain, or still unproven.

Skills

AI/ML fundamentals
Generative AI
AI agents
Evaluation capabilities
Model behavior
Prompting
Retrieval
Agent/tool workflows
Data inspection
Trace inspection
Prototyping with coding agents
Experiment reasoning
Overfitting
Training/test splits
Edge cases
Uncertainty
Competitive insight
Customer feedback analysis
Problem framing
Experimentation
Delivery
Mentorship

Location

Select cities within the San Francisco and New York City metropolitan area

Work Type

Full-time

Experience Level

Senior
Leadership

Salary/Compensations

$218,400 - $365,200 annually
$263,200 - $401,400 annually in select cities within the San Francisco and New York City metropolitan area

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Agentforce is the future of AI, and you are the future of Salesforce.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
Salesforce believes in equality for all and is committed to creating a workplace that’s inclusive, and free from discrimination.
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.
The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.