Drimva

Salesforce

Director, Technical Program Management (Security)

$171K–$298K

California - San Francisco +2 · Office Tech-Flexible · Director · Full-time · Posted Oct 22, 2026

Location
California - San Francisco
Washington - Seattle
Washington - Bellevue
Experience
10+ years in enterprise software/technical program or engineering management; 5+ years leading SaaS product development programs.
Education
Bachelor’s degree or equivalent work experience.

About the job

Leads end-to-end delivery of cross-functional cybersecurity programs for Salesforce, partnering with security, product, and engineering teams to plan work, manage risks, and report progress.

What you'll do

  • Own planning and delivery of programs across security domains, including Identity and Access, Data Security, Network Security, Technical Resilience, and Cloud Security.
  • Translate business objectives into executable plans, coordinate engineering work, and remove obstacles to delivery.
  • Build stakeholder relationships and provide data-backed program updates, risks, and recommendations to executives.

What they ask for

  • 10+ years of enterprise software, technical program, or engineering management experience at an enterprise technology company.
  • 5+ years leading SaaS product development programs, with understanding of the SaaS business model and product development lifecycle.
  • Deep understanding of and demonstrated experience in cybersecurity and risk management practices.
  • Bachelor’s degree or equivalent work experience.

Nice to have

  • Experience with vulnerability management, cyber detection and response, security standards, or vendor management.
  • Public cloud infrastructure knowledge; a relevant master’s degree or PMP, CISM, and/or CISSP certification is also preferred.

Pay

$171,200 - $273,000 annually (base salary, USD); $205,800 - $298,400 annually (base salary, USD)

Tools

SaaS, agile methodologies, software development lifecycle

AI focus

The posting says Salesforce uses AI tools to help recruiters assess and evaluate candidates; humans make all selection and hiring decisions. The role itself does not specify AI work.

Model-written summary · the original posting is authoritative

First seen Oct 23, 2026 · Last verified Nov 4, 2026 (UTC)