Salesforce · 10 hours ago
Senior Software Engineer - AI Productivity Tools & Performance Engineering
California - San Francisco
Full-time
Onsite
Senior Level
$148K/yr - $224K/yr
5+ years expSalesforce is the #1 AI CRM, where humans with agents drive customer success together. 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.
Agentic AIArtificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
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
Qualification
Required
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
Preferred
Master's in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field
Knowledge of profiling tools (e.g., perf, FlameGraphs) and performance diagnostic techniques
Knowledge of AI agent frameworks like LangChain, Semantic Kernel, or AutoGen
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
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
2026-01-23
2026-01-23
Company data provided by crunchbase