トレンド企業

Salesforce
Salesforce

The Customer Company - CRM + Data + AI + Trust

Senior Software Engineer - AI Productivity Tools & Performance Engineering

職種機械学習
経験シニア級
勤務地San Francisco, CA; Seattle, United States
勤務オンサイト
雇用正社員
掲載3ヶ月前

報酬

$148,500 - $246,000

応募する

福利厚生

無制限休暇

ストックオプション

Remote Work

Learning Budget

必須スキル

PyTorch

TensorFlow

Apache Spark

About Us

Salesforce brings companies and customers together in the number one Customer Relationship Management platform.

Size: 10000+ employees
Industry: Technology

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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

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

As a Senior Software Engineer focused on AI-powered productivity tools, you will design and develop applications that enhance workflows and efficiency for internal engineering teams. You will collaborate closely with engineering, product, to deliver scalable, high impact solutions.

You will maintain and enhance mission critical, highly available distributed services that scale on demand to support the continuous Integration and development platform to improve developer efficiency through visualizations and AI powered automated analysis.

Your role will involve developing next-generation tools that automate tasks, provide intelligent insights, and improve overall user productivity across the software development lifecycle (SDLC). This includes experimenting with various AI models, developing robust systems for performance, analyzing and visualizing data, and conducting end-to-end performance analysis. This role also involves optimizing scalable AWS infrastructure using EC2, S3, RDS, ECS, and Lambda, while ensuring cost effective operations. Your work will directly contribute to faster resolution of production issues, improved reliability of services, and productive use of engineering bandwidth.

Responsibilities:

  • Develop productivity tools that enhance engineering efficiency through automated performance monitoring, anomaly detection, and issue resolution
  • Build intelligent frameworks that automate performance anomaly detection, infrastructure health checks, and root cause identification across telemetry, logs, and system utilization metrics.
  • Explore emerging AI landscape and web technologies and collaborate with senior team members to identify and advance opportunities for tool improvements.
  • Participate in product design discussions and help address software performance issues by identifying hotspots and developing prototypes to demonstrate potential solutions.
  • Leverage a deep understanding of AWS services to design, build, and maintain scalable tools and services.
  • Instrument, benchmark and define baselines to evaluate latency, reliability, and accuracy, identify gaps, and optimize performance.
  • Develop and maintain highly available, scalable mission critical distributed services to enhance developer efficiency through visualizations and AI powered automated analysis.
  • Clearly communicate your work, findings, and analysis to team members and present recommendations effectively to technical audiences.

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Minimum Qualifications:

  • A related technical degree required.
  • 5+ years of software development experience, with strong fundamentals in data structures, algorithms, and design patterns.
  • Python is highly preferred; experience in Java is a plus.
  • Hands-on experience with AWS services (EC2, S3, RDS, ECS, Lambda), optimizing architectures for scalable and cost-effective operations.
  • Solid understanding of distributed systems, databases, and cloud infrastructure.
  • Strong problem solving, communication, and collaboration skills.
  • Curiosity and initiative to question, and explore the evolving Gen AI landscape.

Nice to Have:

  • Master's in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field.
  • Knowledge of profiling tools (e.g., perf, Flame Graphs) and performance diagnostic techniques.
  • Knowledge of AI agent frameworks like Lang Chain, Semantic Kernel, or Auto Gen.
  • Familiarity of various prompting strategies (e.g., zero-shot, few-shot, chain-of-thought) to elicit desired responses from Large Language Models (LLMs).
  • Familiarity with telemetry and production analysis (metrics, traces, logs), and applying AI to solve observability or debugging challenges.

Unleash Your Potential:

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

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.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Client-provided location(s): Seattle, WA, San Francisco, CA

Job ID: Salesforce-JR326499

Employment Type: FULL_TIME

Posted: 2026-01-24T19:59:58
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Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

  • Adoption Leave
  • Return-to-Work Program
  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Happy Hours
  • Snacks
  • Some Meals Provided
  • Company Outings

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence
  • Sabbatical
  • Volunteer Time Off

Financial and Retirement

  • 401(K)
  • 401(K) With Company Matching
  • Company Equity
  • Stock Purchase Program
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling

Professional Development

  • Tuition Reimbursement
  • Learning and Development Stipend
  • Promote From Within
  • Mentor Program
  • Shadowing Opportunities
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program
  • Leadership Training Program
  • Professional Coaching
  • Work Visa Sponsorship

Diversity and Inclusion

  • Employee Resource Groups (ERG)
  • Unconscious Bias Training
  • Diversity, Equity, and Inclusion Program

Company Videos

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Salesforceについて

Salesforce

A cloud-based software company that provides customer relationship management software and applications.

10,001+

従業員数

San Francisco

本社所在地

$243B

企業価値

レビュー

10件のレビュー

4.3

10件のレビュー

ワークライフバランス

3.2

報酬

4.5

企業文化

4.6

キャリア

4.2

経営陣

4.1

78%

知人への推奨率

良い点

Great benefits and high salary

Excellent work culture and supportive management

Career advancement and development opportunities

改善点

Work-life balance challenges and long hours

High-pressure environment with heavy workload

Fast-paced environment with high expectations

給与レンジ

50件のデータ

Junior/L3

L6

Senior/L5

L3

L5

Junior/L3 · Associate Data Engineer

1件のレポート

$120,510

年収総額

基本給

$92,700

ストック

-

ボーナス

-

$120,510

$120,510

面接レビュー

レビュー4件

難易度

3.0

/ 5

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Assessment

5

Virtual Technical Interview

6

Onsite/Final Interview Loop

7

Manager Interview

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience