Backend Tech Lead, AI Apps

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תיאור משרה

Your Impact:

You will have a technical lead role, that has a great impact on how we build, scale, and maintain AI applications that are used by hundreds of thousands of users on a monthly basis. You will drive and impact architecture, designs, execution, serve as a role model and provide mentorship to group members, and support them in their professional growth.


Who You’ll Work With:

You’ll be part of Einstein. Our goal in Einstein is to build easy to use turnkey B2B AI applications, that simplify business processes, help to make business decisions, and create measurable value for the customer (some of the existing examples are Einstein Opportunity Scoring, Einstein Forecasting, and Einstein Campaign Attribution). Our AI solutions prioritize the best next steps, help to win more opportunities, help to make better decisions, increase forecast accuracy, and more. We partner with multiple clouds at Salesforce, including Sales, Service, Revenue, Marketing, and Industries. We serve thousands of Salesforce customers, including some of the largest ones. Our products deliver 80+ Billion predictions a day.

Einstein is a global organization, with large groups both in Israel and the US. It is made up of data scientists, data, platform and DevOps engineers, and growth analysts who are dedicated to driving product strategy with data-driven insights. The team works with executives, product managers, designers, developers, user researchers, marketers, and sales strategy team members across all Cloud businesses to discover new opportunities for growth and optimization, experiment with data, drive adoption, and provide actionable insights that impact product strategy.



Responsibilities:

  • Build, scale and maintain AI applications that are used by hundreds of thousands of users on a monthly basis
  • Understand the customer/business requirements and translate them into elegant/flexible/easy-to-use capabilities
  • Lead/Participate in Software Design and Architecture discussions of complex large scale systems
  • Drive the execution and delivery of features by collaborating with architects, product owners, engineers, user experience designers, and data scientists
  • Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation goals
  • Lead and mentor junior members of the group
  • Take on hands-on complex code challenges and be a 10x multiplier
  • Adopt, embrace, and promote agile and test-driven software development practices
  • Make/Participate in critical decisions that attribute to the success of the applications and the underlying platform
  • Be a multiplier and have a passion for the team and team members’ success
  • Be a vocal advocate for technical excellence and help the team members make sound decisions


דרישות תפקיד

Required Qualifications:


  • 10+ years of hands-on experience building, scaling, and maintaining large scale, complex distributed systems in the SaaS space that scale for millions of users
  • In-depth working knowledge of at least one object-oriented language (Python, Java, C#). Our stack is mostly Python-based, with some services built-in Java
  • Solid experience in developing/maintaining using public cloud technologies such as AWS, Azure, GCP, or Heroku
  • Experience in creating system architecture designs and providing review/feedback on designs
  • Strong verbal and written communication skills. Self-driven with superior organizational and project management skills. Ability to work effectively in a distributed team setting and across time zones
  • Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills
  • Experience with Agile development methodologies, continuous integration (CI), and continuous deployment (CD)
  • Experience in test-driven development with a focus on unit testing, integration testing, and end-to-end automation
  • Experience with Data model design and familiarity with SQL and NoSQL


Preferred Qualifications:

  • Experience in cross-geography work with US-based teams
  • Familiarity with service ownership in production, and available for on-call support on a regular rotation basis
  • Ability to cross-over to help on the Platform and DevOps side of things (CI/CD tools, Terraform, Automation, etc.)
  • Exposure to Artificial Intelligence (AI) technologies such as Machine Learning, Deep Learning, etc. from a data engineering perspective, and experience working with data scientists in taking models to production
  • Experience using Analytics and Monitoring tools such as DataDog, Pingdom, New Relic, Graphite, Sumo Logic, and Splunk
  • Some Salesforce platform/ecosystem/implementation knowledge (either as a developer or as admin)
  • Bachelors degree in Computer Science, Software Engineering, or related STEM field (or equivalent work experience) with strong competencies in algorithms, data structures, and software design


workהגשת מועמדות

Salesforce

על החברה

סיילספורס היא ענקית פתרונות הענן וה-CRM המובילה בעולם, מחברת בין חברות מכל הגדלים והתעשיות ללקוחותיהן. סיילספורס מאפשרת להן לנצל את הכוח הטמון בטכנולוגיה - ענן, סושיאל מדיה, בלוקצ׳יין, בינה מלאכותית. מרכז הפיתוח של החברה בישראל ממשיך לגדול, בעיקר באזורי Big Data ו-AI. עובדי החברה בישראל הם בעלי תרומה משמעותית לחידושים הטכנולוגיים בתחומים אלה שמשפיעים על מיליוני משתמשים בכל העולם.

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