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Sr. Manager, Agentic Services

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Salesforce
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job Category

Software Engineering

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.

The Messaging Platform team, part of the Digital Marketing Technology organization, builds the critical platforms our internal marketers use to engage with customers. We are responsible for the core tooling that powers communications across channels, integrating deeply with the Salesforce Platform, Data Cloud, and Marketing Cloud Next. This team is at the forefront of this mission, responsible for building the next generation of intelligent AI agents on Agentforce to drive massive productivity gains and unlock new marketing capabilities.

We are seeking an experienced and passionate Senior Manager of Software Engineering to lead our team. In this role, you will be responsible for leading, mentoring, and growing a team of skilled engineers dedicated to building our next generation platform, utilizing Agentforce and Salesforce platform. You will own the team’s technical roadmap and delivery, focusing on the intersection of the Salesforce Platform, Data Cloud, and AI, RAG, and LLM technologies.

We are looking for a leader who can partner effectively with Product Management to drive strategy and vision, while also ensuring the team maintains a high bar for technical excellence. You will champion a quality‑first mentality and guide your team in building scalable, reliable, and performant systems that will power the future of our marketing tools, enabling more relevant customer communications with less effort.

Responsibilities
  • Lead, mentor, and inspire a team of software engineers, supporting their career growth, performance, and development.
  • Own the end‑to‑end delivery and operational health of Agents on the Agentforce platform, additionally services built on the Salesforce Platform and integrated systems.
  • Partner closely with Product Management, architects, and other stakeholders to define the team’s vision, strategy, and roadmap; teach the team to always ask questions and understand the "Why" behind their work.
  • Drive the technical design and architecture for highly scalable, reliable, and maintainable AI agent & Salesforce platform systems.
  • Foster a culture of engineering excellence, championing a quality‑first approach, robust testing, CI/CD, and operational rigor.
  • Instill a constant drive for learning and curiosity to keep the team at the forefront of our technology and the AI domain.
  • Collaborate with other engineering leaders to ensure seamless integration and alignment across the Salesforce ecosystem (Platform, Data Cloud, Marketing Cloud Next).
  • Manage agile development processes, remove roadblocks, and ensure timely, high‑quality execution of team goals.
  • Hire and retain top‑tier engineering talent.
Required Skills And Experience
  • 6+ years of professional software development experience, with a significant background in distributed systems or platform engineering.
  • 3+ years of experience in an engineering management role, with a proven track record of mentoring and developing high‑performing teams.
  • Bachelor’s degree in Computer Science or equivalent professional experience.
  • Strong technical acumen and experience guiding teams through the design and development of complex, scalable, and reliable services.
  • Excellent communication and interpersonal skills, with the ability to partner effectively with product management, architects, and senior leadership.
  • Experience managing the full software development lifecycle and agile methodologies.
  • A deep understanding of, or strong demonstrated passion for, the AI/LLM space and its practical applications.
  • Hands‑on…
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