Engineering Manager

🕒 August 24

🏄 California – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

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👻 Ghost score 21%

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Logo of Salesforce

Salesforce

10,000+ employees

Founded 1999

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Build and lead a new Data team • Hire the remaining team members and establish the team's identity, rituals, and standards • Own the Data Charter and Roadmap • Own leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics and insights, data integrations, and Data APIs • Develop a coherent platform strategy and sequence investments with engineering and product leadership • Guide technical decisions across data modeling, ingestion, synchronization, and data serving • Ensure the data layer is correct, fresh, observable, reliable, and easy for other teams to build on • Define SLOs, data contracts, and operational discipline for data quality and reliability • Partner with leadership, product teams, and Salesforce counterparts to align priorities and drive execution • Integrate data into strategic decision-making and deliver business results

🎯 Requirements

• Experience managing engineering teams building data platforms, pipelines, or high-scale backend systems, ideally in high-growth environments • Strong hiring instincts, including sourcing, closing, and ramping strong engineers • Strong technical depth in several of: PostgreSQL at scale, ClickHouse or similar OLAP systems, CDC and event streaming, ETL orchestration, or data modeling for CRM-shaped domains • Comfort operating in ambiguity • Proactive, outcomes-oriented “driver” mindset • Strong communication and collaboration skills • Ability to work with stakeholders who do not work on data full time

🏖️ Benefits

• Time off programs • Medical insurance • Dental insurance • Vision insurance • Mental health support • Paid parental leave • Life insurance • Disability insurance • 401(k) • Employee stock purchasing program • Reasonable accommodations during the application or recruiting process

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