Senior Manager of Software Engineering, Salesforce

• You have hands-on experience designing and operating event streaming pipelines at scale, with deep familiarity with technologies like Kinesis, Kafka, or equivalent — including raw/bronze, cleansed/silver, and curated/gold data layer patterns
• You've built or owned multi-platform client instrumentation, including Software Development Kits (SDKs) across mobile (iOS, Android) and web (JavaScript) surfaces
• You bring a strong background in schema-driven development, including schema registries, envelope design, event contract governance, and managing schema evolution across producers and consumers
• You're an experienced people manager with a track record of hiring, developing, and retaining engineers across varying seniority levels — building high-performing, inclusive teams
• You have a strong Amazon Web Services (AWS) background, including experience with Fargate, Lambda, Kinesis, Identity and Access Management (IAM), and Terraform for infrastructure-as-code and secure, scalable service delivery
• You've served diverse downstream consumers — including analytics/business intelligence, machine learning, and experimentation platforms — with a clear understanding of their data quality and latency requirements
• You can drive alignment across engineering, product, data science, and machine learning stakeholders, translating competing requirements into a shared technical roadmap
• A related technical degree required

Desirable

• Join the Engineering Development and Delivery group within Salesforce's Digital Enterprise Technology organization, where you'll own the vision and execution of the Unified Telemetry platform — a foundational data infrastructure that powers analytics, machine learning, and experimentation across the company
• This role is based in the United States and is built for a technical leader who thrives at the intersection of platform engineering, people development, and cross-functional influence in an era where AI-driven engineering is reshaping how we build and observe software
• Own the technical roadmap for the Unified Telemetry platform, driving architecture decisions across unified client SDKs, schema registry, and the ingestion layer — setting the engineering standard for telemetry across the organization
• Lead end-to-end delivery of core platform components, ensuring the pipeline reliably serves analytics, machine learning, and experimentation consumers with the data quality, latency, and availability each requires
• Build, grow, and mentor a high-performing team of engineers — establishing operational norms, fostering a culture of ownership and continuous improvement, and running career development conversations that help each person reach their potential
• Partner with product, data engineering, analytics, and machine learning stakeholders to align on requirements, prioritize the roadmap, and drive telemetry adoption as the platform expands to new surfaces
• Champion the migration away from fragmented, bespoke telemetry approaches, representing the platform in org-wide planning and technical forums and advocating for telemetry as a shared observability backbone