Senior Manager, Software Engineering - Telemetry Platform

PVH (Tommy Hilfiger/Calvin Klein); San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Salesforce in San Francisco is seeking a technical leader to own the Unified Telemetry platform, guiding architecture across SDKs, schema registry, and ingestion to set the bar for observability.

You will build and mentor a high‑performing team, partner with product, data science, and ML stakeholders, and drive adoption of telemetry across surfaces as AI‑driven engineering reshapes how we observe software.

Qualifications

• Hands‑on experience designing and operating event streaming pipelines at scale.
• Experience building or owning multi‑platform client instrumentation across mobile and web surfaces.
• Strong background in schema‑driven development, including schema registries and event contracts.
• Experienced people manager with a track record of hiring and developing engineers.

Responsibilities

• Own the technical roadmap for the Unified Telemetry platform, driving architecture decisions across SDKs, schema registry, and the ingestion layer.
• Lead end‑to‑end delivery of core platform components delivering data for analytics, ML, and experimentation with required data quality, latency, and availability.
• Build, grow, and mentor a high‑performing team of engineers and run career development conversations.
• Partner with product, data engineering, analytics, and ML stakeholders to align on requirements and drive telemetry adoption across surfaces.
• Champion migration away from fragmented telemetry approaches and represent the platform in planning and technical forums.

Skills

Event streaming

Kinesis

Kafka

SDK instrumentation

Schema governance

People management

Education

Technical degree

Job description

Job Category: Software Engineering

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword – it’s a way of life. The world of work as we know it is changing, and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

We’re inviting you to join the Engineering Development and Delivery group within Salesforce’s Digital Enterprise Technology organization, where you will own the vision and execution of the Unified Telemetry platform – a foundational data infrastructure that powers analytics, machine learning, and experimentation across the company. The 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.

What You'll Actually Be Doing

• Own the technical roadmap for the Unified Telemetry platform, driving architecture decisions across unified client SDKs, schema registry, and the ingestion layer to set 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.

Qualifications

• 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.
• Experience building or owning multi‑platform client instrumentation, including SDKs across mobile (iOS, Android) and web (JavaScript) surfaces.
• Strong background in schema‑driven development, including schema registries, envelope design, event contract governance, and managing schema evolution across producers and consumers.
• Experienced people manager with a track record of hiring, developing, and retaining engineers across varying seniority levels – building high‑performing, inclusive teams.
• Strong AWS background, including experience with Fargate, Lambda, Kinesis, IAM, and Terraform for infrastructure‑as‑code and secure, scalable service delivery.
• Served diverse downstream consumers – analytics/business intelligence, machine learning, and experimentation platforms – with a clear understanding of their data quality and latency requirements.
• Ability to drive alignment across engineering, product, data science, and machine learning stakeholders, translating competing requirements into a shared technical roadmap.
• Related technical degree required.

Preferred

• 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.
• Familiarity 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.
• Experience with data quality frameworks, including automated validation, anomaly detection, and SLA monitoring for streaming pipelines.
• Experience with distributed tracing and observability platforms such as OpenTelemetry, Sentry, Datadog, or Splunk.
• Having driven developer experience improvements – making it easier for product teams to instrument and adopt telemetry SDKs.
• Familiarity with privacy‑by‑design principles, including personally identifiable information (PII) handling, data residency, and compliance considerations.