Senior Manager, Recruiting Technology

Salesforce Salesforce · Enterprise · FL · Remote

Salesforce is seeking a Senior Manager, Recruiting Technology to lead the development and lifecycle of their recruiting technology ecosystem. This role involves defining product strategy, roadmaps, and partnering with various teams to deliver innovative solutions. The ideal candidate has experience in HR/Recruiting Tech product management and is comfortable with AI product spaces, including agentic and generative AI use cases, with a focus on ethical considerations.

What you'd actually do

  1. Define and articulate the product vision, strategy, and roadmap for all of recruiting
  2. Conduct market research and stakeholder discovery to identify and quantify opportunities for AI and Agent innovation.
  3. Serve as the primary Tech POC for the full recruiter & candidate journey — job creation & discovery, application, assessment, interviewing & scheduling, offer and more.
  4. Partner with Salesforce's Responsible AI office to ensure all agentic use cases receive appropriate approvals
  5. Define key performance indicators (critical metrics) and measure product performance.

Skills

Required

  • 5-8+ years of product management experience in HR or Recruiting Tech
  • Proven track record of managing products from conception to launch.
  • Experience working with business operations and leadership, engineers, and designers to deliver product solutions.
  • Familiarity with applicant tracking, candidate relationship management, and recruiting assessment platforms
  • Ability to translate complex concepts into clear, user-friendly product requirements.
  • Strong cross-functional influencing skills — able to partner with engineering, HR leadership, legal, and operations
  • Business acumen including building business cases and quantifying results with business context
  • Experience working in AI product spaces; comfort defining requirements for agentic and generative AI use cases
  • Comfortable working in ambiguity, managing multiple work-streams simultaneously, and operating in a detail-oriented environment
  • Ability to prioritize and manage multiple tasks and projects.
  • Familiarity with Agile methodologies and tools
  • Strong analytical skills, with experience using data to inform product decisions.
  • Demonstrated ability to manage vendor relationships

Nice to have

  • Deep hands-on experience with Workday Recruiting
  • Solid understanding of AI concepts, including Natural Language Processing (NLP), Generative AI / Large Language Models, recommendation systems, etc.
  • Knowledge of ethical AI principles and practices.

What the JD emphasized

  • recruiting technology ecosystem
  • AI and Agent innovation
  • Responsible AI office
  • ethical considerations in AI development
  • AI product spaces
  • agentic and generative AI use cases