Director, Software Engineering (Data Analytics)

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques, Data Analytics, Data Engineering

Job Description

Company Overview

Salesforce is the global leader in customer relationship management (CRM) software. We pioneered the shift to cloud computing, and today we're delivering the next generation of social, mobile, and cloud technologies that help companies revolutionize the way they sell, service, market, and innovate and become customer companies. We are the fastest growing of the top 10 enterprise software companies, the World's Most Innovative Company according to Forbes, and one of Fortune's 100 Best Companies to Work For. Our more human, less corporate culture is built around doing work that matters, winning as a team, and celebrating success Aloha-style. Ready to find your #dreamjob?

The Team

We are defining the next generation of trusted enterprise computing in the cloud. We're a fast-paced, metrics-driven team. We're highly collaborative and work across all areas of our technology stack. We live and breathe transactional systems, distributed systems, and enterprise reliability, availability, and scale.

Desired Skills and Experience

The team is seeking a highly qualified and energetic Director / Senior Director who will be responsible for driving and executing our vision and for managing and leading a team of exceptional developers working on data analytics and observability layers of the Salesforce Transactional and Distributed Storage Systems. Desired skills:

• Lead teams delivering data analytics for very large datasets in enterprise production environments
• Excellent understanding of an ML-based product lifecycle
• Drive the execution and delivery of features by collaborating with many cross-functional teams, architects, product owners, engineers and data scientists
• Vocally advocating for technical excellence and helping the teams make good decisions
• Inventive and creative; on task and able to deliver incrementally and on time
• Familiar with Agile development methodology and committed to continuous improvement of team performance
• Effective communication, strong leadership skills, ability to dive deep into the technical details
• Ability to prioritize in a rapidly changing environment; communicate clearly to steer a talented team to deliver high quality service
• Experience in building strong, successful technical teams, coaching and mentoring individuals along their career paths
• Maintaining and fostering our culture by interviewing and hiring only the most qualified individuals

Qualifications

• MS or higher degree in Computer Science
• 10+ years in managing software development teams of at least 10 engineers working on customer-facing enterprise product
• Strong technical credentials in software development, in particular in areas such as advanced analytics, data science, data engineering and automation using advanced machine learning techniques
• Proven track record of delivering and supporting large scale enterprise products and services in Public Cloud
• Experience owning and operating mission-critical infrastructure and analytical services including, monitoring, alerting, logging, and reporting applications