Senior Manager - Data Engineering

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

We’re building a product data platform to bring Salesforce’s product signals into the agentic era — powering smarter, adaptive, and self-optimizing product experiences.

As a Senior Manager, you’ll lead a team of talented engineers in designing and building trusted, scalable systems that capture, process, and surface rich product signals for use across analytics, AI/ML, and customer-facing features. You’ll guide architectural decisions, drive cross-functional alignment, and shape strategy around semantic layers, knowledge graphs, and metrics frameworks that help teams publish and consume meaningful insights with ease.

We’re looking for a strategic, systems-minded leader who thrives in ambiguity, excels at cross-org collaboration, and has a strong technical foundation to drive business and product impact.

What You’ll Do

• Lead and grow a high-performing engineering team focused on batch and streaming data pipelines using technologies like Spark, Trino, Flink, and DBT

• Define and drive the vision for intuitive, scalable metrics frameworks and a robust semantic signal layer

• Partner closely with product, analytics, and engineering stakeholders to align schemas, models, and data usage patterns across the org

• Set engineering direction and best practices for building reliable, observable, and testable data systems

• Mentor and guide engineers in both technical execution and career development

• Contribute to long-term strategy around data governance, AI-readiness, and intelligent system design

• Serve as a thought leader and connector across domains to ensure data products deliver clear, trusted value

What We’re Looking For

• 10+ years of experience in data engineering or backend systems, with at least 2+ years in technical leadership or management roles

• Strong hands-on technical background, with deep experience in big data frameworks (e.g., Spark, Trino/Presto, DBT)

• Familiarity with streaming technologies such as Flink or Kafka

• Solid understanding of semantic layers, data modeling, and metrics systems

• Proven success leading teams that build data products or platforms at scale

• Experience with cloud infrastructure (especially AWS — S3, EMR, ECS, IAM)

• Exposure to modern metadata platforms, Snowflake, or knowledge graphs is a plus

• Excellent communication and stakeholder management skills

• A strategic, pragmatic thinker who is comfortable making high-impact decisions amid complexity

Why Join Us

This is your opportunity to shape how Salesforce understands and uses its product data. You’ll be at the forefront of transforming raw product signals into intelligent, actionable insights — powering everything from internal decision-making to next-generation AI agents. If you're excited by the challenge of leading high-impact teams and building trusted systems at scale, we'd love to talk to you.

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