Engineering Manager

Salesforce

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
CA
Posted
18 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $228k
$175k most similar roles pay here $280k

This listing doesn't post a salary. Most similar roles pay $185,500–$270,000.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 106 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 98 roles with salary data.

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At a glance

TL;DR · Engineering Manager

Engineering Manager The Engineering Manager will join the Data team to build and lead a critical infrastructure layer supporting every product area and AI agent within the organization. This role involves hiring new engineers, establishing team rituals, and owning the data charter and roadmap for leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics, and Data APIs. The manager will drive technical decisions regarding data modeling, ingestion, and serving while ensuring high standards for quality and reliability through SLOs and data contracts. Candidates should possess experience managing teams building data platforms or high-scale backend systems. Required technical expertise includes PostgreSQL at scale, ClickHouse or similar OLAP systems, CDC and event streaming, ETL orchestration, and data modeling for CRM-shaped domains. The role solves complex problems regarding data freshness and grounding to shape agent behavior in a B2B platform.

What does a Engineering Manager earn in California?

Median $290250 from 64 postings across 19 companies.

See salary data

What you'll do

  • Hire and manage a high-performing engineering team by leading the interview loop and establishing team rituals.
  • Own the data charter and roadmap, including data models, ETL pipelines, and analytics infrastructure.
  • Transform inherited systems into a coherent platform strategy for data integration and API management.
  • Guide technical decisions regarding data modeling, ingestion, synchronization, and serving across the platform.
  • Define and enforce data quality standards, including SLOs and data contracts to ensure reliability for AI agents.
  • Partner with product teams and leadership to align data initiatives with strategic business goals.
  • Oversee the integration of company data into the Salesforce ecosystem and Data Cloud.

What we're looking for

  • Experience managing engineering teams building data platforms, pipelines, or high-scale backend systems.
  • Proven ability to source, close, and ramp strong engineers through a defined hiring process.
  • Technical depth in PostgreSQL at scale, ClickHouse or similar OLAP systems, CDC, event streaming, ETL orchestration, or data modeling.
  • Ability to operate effectively in ambiguous environments without established roadmaps or conventions.
  • Proactive, outcomes-oriented mindset with the willingness to perform hands-on technical work when needed.
  • Strong communication and collaboration skills for engaging with non-technical stakeholders.

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