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VP, Software Engineering - Customer Success

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: salesforce.com, inc.
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

VP, Software Engineering - Customer Success

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.

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.

Key Responsibilities
  • Provide Technical Solutions for Business requirements as Customer Zero leveraging the latest in Salesforce products & technologies.
  • Drive strategic alignment:
    Partner with EVP's, SVP's, VP's and business leaders to translate complex needs into actionable technical roadmaps and multi‑release plans.
  • Drive the Agentic Transformation:
    Integrate AI components and agentic patterns into systems & platforms safely and measurably, including retrieval, evaluation, and human‑in‑the‑loop safeguards.
  • Deliver on the Technology

    Roadmap:

    partner with senior business leaders to execute on an outcome‑based roadmap, facilitate capacity/demand planning to ensure timely delivery for business critical and seasonal events, take short‑term and long‑term corrective action for operational incidents.
  • Manage Stakeholder Expectations: deliver crisp communication through decision memos, trade‑off proposals, proactive delivery updates, and executive readouts. Lead with data and evidence.
  • Innovate Throughout Delivery: experiment with, assess, and demonstrate new products, features and technologies to meet business needs, drive productivity and efficiency by re‑assessing the SDLC through AI‑native development, champion new AI/ML capabilities for service management and operational support.
  • Set Vision & Goals: for a global Engineering team based on Business strategic priorities, DET goals, and operational imperatives.
Requirements
  • 15+ years of progressive engineering management experience, including 5+ years leading senior engineering leaders at scale.
  • Build, mentor, and inspire a world‑class team of engineering managers and developer advocates. Foster a culture of innovation, inclusion, and continuous learning while growing future engineers.
  • Deep understanding of the software development lifecycle, CI/CD, and modern AI and cloud‑native engineering practices.
  • Strong executive presence with the ability to influence and align senior stakeholders across a complex, matrixed organization.
  • Experience driving large‑scale transformations that significantly improved engineer productivity, velocity, and satisfaction.
  • Exceptional communication skills, equally comfortable presenting strategy to senior executive leaders and discussing technical trade‑offs with engineers.
  • AI literate with hands‑on ability to go from product requirement to prototype.
  • BS or MS in Computer Science, Software Engineering, or a related discipline.
Success in this role looks like
  • Strong and trusted technology advisor for our Business leaders and teams.
  • A clear technology roadmap that delivers on business requirements and transformation at scale.
  • Drives AI Agents and Trust initiatives that leverage AI/GenAI to multiply effectiveness in the SDLC and Business outcomes.
  • Enables a broad cultural shift where engineers leverage AI native coding techniques to increase velocity and improve product quality.
  • Significant reduction in developer friction across onboarding, testing, deploying, and operating code.
  • Build and Mentor Teams:
    Build, mentor, and uplevel talent, cultivating clarity, craftsmanship, and accountability.
  • Champion observability and resilience:
    Drive rigorous observability, SLOs, and incident learning to improve MTTR and resilience.
  • Drive Operational Excellence:
    Raise the bar on readiness through runbooks, testing, IT service management and continuous…
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