Senior Manager of Software Engineering (Telemetry Platform)

Join Salesforce as a Senior Manager of Software Engineering, where you'll lead the vision and execution of the Unified Telemetry platform. This role requires a strong background in schema-driven development, multi-platform client instrumentation, and AWS. You'll build and mentor a high-performing team, drive alignment across stakeholders, and champion the migration to a unified telemetry approach.

• Own the technical roadmap for the Unified Telemetry platform, driving architecture decisions across unified client SDKs, schema registry, and the ingestion layer.
• 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.
• 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'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
• You've built or owned multi-platform client instrumentation, including Software Development Kits (SDKs) across mobile (iOS, Android) and web (JavaScript) surfaces
• 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 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'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 experience with agentic Software Development Life Cycle (SDLC) tooling such as GitHub Copilot, Cursor, or similar AI-assisted development workflows — and a track record of driving adoption across engineering teams
• You have a background in experimentation platforms and understand the role telemetry plays in A/B testing and feature flagging infrastructure
• You're familiar with privacy-by-design principles, including personally identifiable information (PII) handling, data residency, and compliance requirements in event data collection
• You've driven developer experience improvements — making it easier for product teams to instrument and adopt telemetry SDKs
• You have experience with distributed tracing and observability platforms such as OpenTelemetry, Sentry, Datadog, or Splunk
• You've worked with data quality frameworks including automated validation, anomaly detection, and service-level agreement (SLA) monitoring for streaming pipelines
• You're familiar with AI and machine learning data pipeline requirements, including feature engineering, training data curation, and real-time inference, and how they shape telemetry structure and delivery