Senior Manager, Software Engineering - Agentforce Voice

Salesforce Salesforce · Enterprise · San Francisco, CA

Salesforce is seeking a Senior Engineering Manager to lead software engineering teams for their Agentforce Voice product. This role involves managing engineers, driving feature execution, collaborating with cross-functional teams, and overseeing the delivery of AI agent-based voice applications. The ideal candidate will have extensive experience in building and scaling distributed systems, managing engineering teams, and a strong understanding of SDLC and Agile methodologies. Experience with AI technologies like ASR, TTS, and NLP is a plus.

What you'd actually do

  1. Drive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners and engineer
  2. Build, mentor, manage, inspire and retain software engineering teams
  3. Oversee Sprint Planning and stand ups of multiple engineering teams working closely with the respective ScrumMasters and Engineering managers.
  4. Partner with the product and engineering leadership to align with objectives, priorities , tradeoffs and risk
  5. Participate in customer meetings helping resolve/triage customer issues and understand their use cases to help define product/engineering roadmap

Skills

Required

  • 10+ years of hands-on experience building, scaling and maintaining large scale, complex distributed systems and / or full stack software applications in the B2B (or B2C) SaaS space that operate 24x7
  • 3+ years of experience managing managers and architects
  • In-depth working knowledge of at least one object-oriented compiled language (Java, C++, etc)
  • Excellent debugging and problem solving skills.
  • Solid understanding of SDLC, and best practices in design, development, testing, and deployment.
  • Experience with Agile development methodologies
  • Strong verbal and written communication skills, organizational and project management skills. Ability to work effectively in a distributed team setting.
  • A related technical degree required.

Nice to have

  • ASR, TTS, Voice to Voice Models, Telephony, SIP and PSTN technologies
  • Working knowledge of building B2B or B2C SaaS applications / microservices using cloud providers such as AWS, GCE, or Azure
  • Experience in Artificial Intelligence (AI) technologies such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Voice Recognition (ASR), etc.
  • Some Salesforce developer platform/administration exposure is nice to have

What the JD emphasized

  • technically strong
  • highly collaborative
  • accomplished Senior Engineering Manager
  • applications written in Go lang, Python, and Java stack spread across core and off-core platforms
  • 10+ years of hands-on experience building, scaling and maintaining large scale, complex distributed systems and / or full stack software applications in the B2B (or B2C) SaaS space that operate 24x7
  • 3+ years of experience managing managers and architects
  • A related technical degree required.

Other signals

  • AI agents
  • digital labor platform
  • voice applications