Level

SalesforcePosted today

Associate Evaluations Manager

Associate Evaluations Manager at Salesforce scores 44 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

California - IrvinejuniorFull time$94k-$142k

AI in this role

prompt-engineeringai-agentsai-content

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Program & Project Management

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. 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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

As an Associate Evaluations Manager on the Digital Success Data & AI team, you will help measure, monitor, and improve the performance of Agentforce on Salesforce Help. You will execute ongoing synthetic evaluations across Answer Quality, latency, instruction adherence, and other core capabilities, translating results into clear, actionable insights that inform product decisions, operational improvements, and leadership reporting.

You will contribute to operational excellence by building clear documentation, repeatable processes, and scalable evaluation frameworks that increase confidence in agent performance. This role partners closely with Support Delivery, Engineering, Operations, and Data Science to evaluate new features, identify risks and opportunities, and ensure quality at launch.

You will also help evolve our evaluation ecosystem by refining LLM judge prompts, golden datasets, and evaluation assets while identifying opportunities to increase automation, reliability, and efficiency. Success in this role requires analytical rigor, curiosity, and ownership—someone comfortable working through ambiguity, solving problems end-to-end, and consistently delivering defensible insights that drive action.



Your Impact

  • Support the Agentforce baselining program, using synthetic and automated tooling to continuously measure and improve performance.
  • Analyze evaluation results independently, identifying root causes, surfacing trends, and translating insights into actionable recommendations for models, implementations, and processes.
  • Maintain and evolve evaluation frameworks, scoring rubrics, and guidelines to ensure consistent, defensible, and scalable assessments.
  • Deliver clear, influential reporting and business reviews that inform stakeholders and drive product and operational decisions.
  • Define, monitor, and interpret key evaluation metrics, proactively identifying risks, regressions, and improvement opportunities.
  • Enable internal partners on evaluation processes and findings, building trust and shared understanding across teams.
  • Strengthen the evaluation feedback loop across automated testing, LLM-judge prompts, and golden datasets to continuously improve testing sophistication.
  • Perform targeted evaluations for new features and urgent initiatives, ensuring quality and market readiness.
  • Audit and refine the utterance repository to keep testing relevant, high quality, and aligned with evolving product capabilities.
  • Synthesize customer and internal feedback into actionable insights, helping shape product direction and operational improvements.
  • Advocate for tooling, process, and workflow improvements that increase evaluation efficiency, scalability, and reliability.
  • Proactively surface risks and partner on mitigations, ensuring issues are addressed before they impact customers.

Required Skills

  • 1+ years of professional experience working in Salesforce environments (program, analyst, operations, or product context). Demonstrated ability to take ownership of tasks and drive outcomes independently.
  • Strong analytical mindset: comfortable reviewing conversational AI outputs, identifying failure patterns, conducting root cause analysis, and translating findings into actionable recommendations.
  • Operational rigor and attention to detail: able to execute repeatable evaluation workflows accurately and consistently in a fast-paced, ambiguous environment.
  • Clear written communication skills: able to document findings, produce internal documentation, and communicate insights concisely for cross-functional audiences.
  • Comfort working with data: proficiency in spreadsheets (e.g., Google Sheets), reporting, and basic dashboard interpretation to derive insights and track trends.
  • High reading comprehension and critical thinking: able to evaluate nuanced generative AI responses against quality standards and expected behaviors.
  • Tool fluency: ability to work confidently in Salesforce reporting environments (Agentforce, Tableau, Testing Center, Observability) or quickly ramp on similar tools.
  • Curiosity and learning agility: resourceful in exploring new tools, understanding evolving AI behaviors, and continuously improving evaluation approaches.
  • Execution reliability: responsive, accountable, and dependable in delivering accurate outputs and supporting operational needs.

Preferred Skills

  • Experience evaluating AI-generated content or conversational systems
  • Familiarity with prompt engineering, acceptance criteria development, or labeling workflows
  • Experience supporting operational analytics, UAT, QA, or product evaluation programs
  • Experience documenting processes or enabling others through training materials



How We Work

  • Clarity: We optimize for being understood, not sounding smart. Executive-ready summaries, clean narratives, no overcomplication.
  • Operational rigor & integrity: Our work must be accurate, defensible, and trusted. Show your work — assumptions, data sources, and logic matter.
  • Curious bias for action: We ask “why” in service of forward progress. Insight only matters if it leads to better outcomes.
  • Customer Zero mindset: We use our own products first to surface issues before customers do — test, break, learn, improve.
  • Mutual support & collaboration: We operate as a team — sharing context, helping each other unblock work, and maintaining strong operational awareness.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

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

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

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. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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. 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. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $94,000 - $142,300 annually. 

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringAI AgentsAI Content

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you check AI-generated content before it ships?
  4. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  5. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, AI Agents, and AI Content. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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