Salesforce is looking for a Senior Engineering Manager to lead software engineering teams in the Agentforce Voice team, focusing on developing and scaling AI-powered digital labor platforms for enterprises.
Requirements
- 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
- 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
- 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
Responsibilities
- Drive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners and engineer
- Build, mentor, manage, inspire and retain software engineering teams
- Oversee Sprint Planning and stand ups of multiple engineering teams working closely with the respective ScrumMasters and Engineering managers.
- Participating in architecture discussions and planning
- Participating in cross-functional coordination, planning, and reviews with leads from other engineering teams
- Occasionally contributing to development tasks such as code reviews, architecture reviews and feature verifications to assist teams with release commitments, to gain understanding of the deeply technical product as well as to keep your technical acumen.
- Refine and streamline on-call processes ensuring we maintain high availability SLAs
Other
- 3+ years of experience managing managers and architects
- 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.
- 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
