In this role, you’ll:
- Drive state-of-the-art ML solutions that supercharge our internal marketing platforms
- Help shape customer engagement strategies at massive scale
- Work on AI/ML-powered personalization, propensity modeling, recommender systems & more
- Bring your data engineering expertise to fuel real business impact at global scale
What You'll Do
- Architect and implement scalable data platforms & pipelines for ML model development and production
- Build and manage Feature Stores to enable predictive modeling and analytics
- Design real-time and batch ETL systems, integrating complex customer data from multiple sources
- Collaborate with Analytics, Data Science, and Marketing teams to deliver actionable insights
- Create robust data infrastructure for model deployment, monitoring & tuning
- Ensure data quality, governance, and compliance, aligned with Salesforce's AI Trust framework
- Lead and mentor other engineers, promoting innovation and continuous learning
What You’ll Need
- 8+ years of hands-on experience building enterprise-scale data platforms in the cloud
- Expert-level skills in SQL, Python, PySpark/Spark, Hive, Presto, Kafka
- Experience with cloud platforms (AWS, GCP, Azure) and tools like DBT, Airflow, Snowflake, Redshift
- Strong grasp of data modeling, pipelines, and large-scale data architecture
- Familiarity with AI/ML model pipelines, CDPs, and Customer 360 initiatives
- Passion for enabling data-driven decision-making in a B2B marketing context
- Bonus: Familiarity with Salesforce products or CRM data
Why This Role Stands Out
- Drive AI-powered marketing at the #1 CRM company in the world
- Collaborate with some of the best Data Scientists and Marketing experts
- Influence how Salesforce connects with millions of global customers
- Be part of a team that’s pioneering the future of Agentic AI + Marketing
- Own your impact — not just as an engineer, but as a leader and innovator