Senior Director – Software Engineering AI/ML
| Company | Salesforce |
|---|---|
| Location | Palo Alto, CA, USA, San Francisco, CA, USA, Bellevue, WA, USA |
| Salary | $230700 – $384100 |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 10+ years experience in cloud-scale architectures, software development, PaaS, and IaaS (AWS, GCP, Azure), especially with their AI/ML systems.
- Experience leading large-scale distributed systems, microservices, and/or distributed architecture.
- 7+ years of management experience, including leading leaders and managers.
- Proven ability to hire, mentor, and lead engineers and managers.
- Strong verbal and written communication, organizational, and time management skills.
- Ability to communicate requirements with users, technical teams, and product management.
- Experience influencing architectural vision and roadmap with other architects.
- Rapidly learn new technologies and possess strong presentation, communication, and facilitation skills.
- Experience with short release cycles, full SDLC, and publicly released products.
- Proficiency in software engineering best practices: coding standards, code reviews, CI/CD, build processes, testing, and operations.
- A related technical degree required.
Responsibilities
- Partner with Agentforce, Data Cloud and other AI Platform teams and customers in building world-class ML inferencing services to support billions+ inferences per week.
- Lead the planning, development and maintenance of high-quality and highly available AI services.
- Partner with Product Managers, Technical Program Managers to closely track progress across multiple workstreams and delivering goals for varying stakeholders.
- Retain top talent within the teams; hire top talents; invest in continuous employee development of high-performing teams and have a passion for team and team members’ success.
- Effectively communicate and foster collaboration in the team.
- Identify opportunities and improvements in the processes and culture of the teams and the larger engineering organization.
Preferred Qualifications
- Lead organizations and/or hand-on experience architecting/developing solutions built on AWS Sagemaker/Bedrock. Google Vertex, Azure ML or similar AI/ML platforms
- Expertise in delivering projects even when faced with ambiguity
- Startup mindset in identifying the right functionality for our customers, quick development cycles, and iterations to meet customer needs.
- Master’s degree.