Salesforce · 13 hours ago
Software Engineering SMTS
United States
Full-time
Remote
Senior Level
$163K/yr - $224K/yr
5+ years expSalesforce is the #1 AI CRM, where humans with agents drive customer success together. They are seeking Engineering leaders to help build a platform that scales to hundreds of thousands of customers and works on cutting-edge technologies in AI and machine learning.
Agentic AIArtificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
Responsibilities
Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies
Experience building Big Data services on AWS, GCP or other public cloud substrates
Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt
Partner with Product Managers, Architects and Data Scientists to understand customer requirements, and help translate requirements to working software
Own the technology for fully orchestrated machine learning APIs for Einstein Platform
Contribute to the long-range plan, and help drive the microservices architectures for machine learning
Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple datacenters
Participate in the team’s on- call rotation to address complex problems in real-time and keep services operational and highly available
Create and enforce processes that ensure quality of work, and drive engineering excellence
Exhibit a customer-first mentality while making decisions, and be responsible and accountable for the output of the team
Partner with vendors like AWS and Data Science teams to pick best fit in terms of libraries and compute to deliver cost effective and scalable model hosting and tuning/training capabilities
Qualification
Required
BS, MS, or PhD in computer science or a related field, or equivalent work experience
5+ years of hands-on experience with big data, machine learning, and microservices architectures
Track record of leading highly impactful projects from conception to finish
Expertise in JVM based languages (Java, Scala) and Python
Experience leading/working in teams that have built and and run machine learning services, such as for training & inferences, at scale for predictive and generative models
Experience with open source projects such as Spark, Kafka, Feast, Iceberg
Experience in building software on AWS cloud computing such as OpenSearch, DynamoDB, EMR and S3
Technical - We don't expect you to be the most technical person on your team, but there is a pretty high minimum bar that you must pass to be useful to the team, and help influence the team to make the right technical decisions
A Leader - You are a natural leader, who can mentor and coach engineers on the team to be able to handle bigger challenges, find fulfillment in their work, and execute on the product growth goals through collaboration to do the best work of their lives
Experienced - We will need you to bring that experience. We want the best people who spend large portions of their time thinking about how to design large scale distributed Machine Learning services
Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies
Experience building Big Data services on AWS, GCP or other public cloud substrates
Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt
Partner with Product Managers, Architects and Data Scientists to understand customer requirements, and help translate requirements to working software
Own the technology for fully orchestrated machine learning APIs for Einstein Platform
Contribute to the long-range plan, and help drive the microservices architectures for machine learning
Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple datacenters
Participate in the team's on- call rotation to address complex problems in real-time and keep services operational and highly available
Create and enforce processes that ensure quality of work, and drive engineering excellence
Exhibit a customer-first mentality while making decisions, and be responsible and accountable for the output of the team
Partner with vendors like AWS and Data Science teams to pick best fit in terms of libraries and compute to deliver cost effective and scalable model hosting and tuning/training capabilities
Preferred
Experience working in machine learning, and technologies such as Amazon SageMaker and Google Cloud ML
Experience building or leading teams that have built and and run real-time data applications in production
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
10001+ employees
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
Arundhati Bhattacharya
Chairman & Ceo Salesforce India
Marc Benioff
Chair & CEO
Recent News
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