Salesforce Logo

Salesforce

Software Engineering PMTS

Job Posted 8 Days Ago Posted 8 Days Ago
Be an Early Applicant
3 Locations
212K-335K Annually
Mid level
3 Locations
212K-335K Annually
Mid level
The role involves leading the development and deployment of advanced AI and machine learning products at Salesforce, primarily focusing on the Einstein platform and integrating LLMs and AI capabilities to enhance customer applications.
The summary above was generated by AI

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

At Salesforce, we are reimagining how organizations build and deploy advanced AI and machine learning products! Our Einstein platform is at the forefront of democratizing Generative AI, Predictive AI, and AI Agents, enabling businesses to rapidly create, deploy, and manage intelligent applications. By seamlessly integrating large language models (LLMs), AI Agents, and Predictive AI across all Salesforce clouds, we empower customers to transform their workflows, applications, and customer experiences with innovative, AI-driven capabilities.
 

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For Washington-based roles, the base salary hiring range for this position is $211,500 to $306,600.

For California-based roles, the base salary hiring range for this position is $230,800 to $334,600.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

Top Skills

AI
CRM
Llms
Machine Learning

Salesforce Bellevue, Washington, USA Office

929 108th Avenue NE, Bellevue, WA, United States, 98004

Similar Jobs

19 Days Ago
2 Locations
184K-335K Annually
Mid level
184K-335K Annually
Mid level
Cloud • Software
The candidate will optimize software performance, analyze scalability, write efficient code, and collaborate with teams on performance improvements. Expertise in Java and SQL is crucial.
Top Skills: AWSGCPJavaJavaScriptSQL
19 Days Ago
2 Locations
212K-335K Annually
Senior level
212K-335K Annually
Senior level
Cloud • Software
This role involves managing the reliability of Salesforce's AgentForce platform by triaging production issues, implementing automated solutions, and collaborating across teams to ensure service reliability and improved capacity.
Top Skills: AWSDockerElk StackGitlabGoGrafanaJenkinsKubernetesPrometheusPythonShellSplunk
2 Hours Ago
Hybrid
Bellevue, WA, USA
156K-229K Annually
Senior level
156K-229K Annually
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
The Software Engineer III will design, develop, and test software systems, mentor team members, and guide software practices, while collaborating with business teams to deliver scalable solutions.
Top Skills: AngularjsAWSCSS3HibernateHTML5Java 8JenkinsJmeterJqueryJSONSeleniumService-Oriented ArchitectureSpring BootSpring MvcTerraformTomcat

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account