Senior Manager - Software Engineering, Machine Learning

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, Machine learning techniques

Job Description

This Engineering Management opportunity is within the CRM Einstein organization where we aim to deliver the most intelligent service platform. We assist service agent interaction, utilize our AI models to automate tasks and deflect common requests, and provide actionable insights to optimize the service experience. Salesforce is investing heavily to disrupt the multi-billion dollar Service market, this opportunity puts you at the heart of that effort.

CRM Einstein is establishing a new group in the Salesforce India hub and this will be the first product team in this location. We are looking for a Senior Manager to establish and lead our software engineering team. We need someone who is technically strong, highly collaborative and passionate about the product and our customers. You will manage and lead teams of exceptional software engineers working on applications written in enterprise Java stack on the core platform and on our AI/Machine learning platform. We work in a highly collaborative environment, and you will liase with a highly cross functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, product managers to build AI Apps. We value execution, transparent communication, feedback and making learning fun.

Responsibilities:

• Build and ship innovative end-to-end AI applications
• Provide oversight and leadership through code and design reviews for features delivered by other developers within their scrum team.
• Drive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners and engineer
• Make critical decisions that attribute to the success of the product
• Proactive in foreseeing issues and resolve it before it happens
• Daily management of standups as the ScrumMaster for engineering teams
• Managing communication, alignment and execution with a global team
• Partner with Product Owner to align with objectives, priorities , tradeoffs and risk
• Ensuring teams have clear priorities and adequate resources
• Empowering the delivery team to self organize
• Be a multiplier and have a passion for team and team members’ success
• Providing technical guidance, career development, and mentoring to team members
• Maintaining high morale and motivating the delivery team to go above and beyond
• Vocally advocating for technical excellence and helping the teams make good decisions
• Participating in architecture discussions and planning
• Participating in cross-functional coordination, planning, and reviews with leads from other engineering teams
• Maintaining and fostering our culture by interviewing and hiring only the most qualified individuals
• Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp

Required Skills:

• Masters / Bachelors degree required in Computer Science, Software Engineering, or equivalent experience
• 4+ years experience leading software engineering teams with a distinguished track record on technically demanding projects
• Experience shipping Machine Learning applications
• Experience with Data engineering, specifically around data acquisition, creating data pipelines, metric measurement, and analysis
• Experience owning highly available services and putting processes in place to maintain uptime
• Experience managing large scale distributed systems, working with microservices and/or distributed architecture
• Prior experience working with global teams
• Strong verbal and written communication skills, organizational and time management skills
• Ability to be nimble, proactive, comfortable working with minimal specifications
• Experience with short release cycles, the full software lifecycle, and experience working on a product that’s been released for public consumption
• Experience in hiring, mentoring and managing engineers
• Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations
• Experience with Agile development methodologies. Scrum leader experience required
• Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs

Preferred Skills:

• Prior academic or work experience in Machine Learning/Artificial Intelligence
• Pragmatic orientation to building ML solutions that work in production at scale