Senior/Lead Software Engineer, Developer Productivity (AI Tooling)
Salesforce
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This role on the market
108 open productivity roles across 42 companies are on ApplySarthi right now, most of them in Hyderabad (4), Bengaluru (3), Pune (2).
- Senior Software Engineer, Infrastructure / Efficiency / ProductivityRoku
- Head of AI Enablement & Technology ProductivityExperian · hyderabad
- Analyst, Sales Productivity3M
- Associate Director, Analytics Modernization & ProductivityNovartis · hyderabad
- Staff Software Engineer, AI Developer ProductivityJobgether
What productivity roles keep asking for: CI/CD (40%), Kubernetes (35%), Observability (32%), Python (32%), LLMs (22%), Supply chain (19%), Elasticsearch (17%), System design (17%) — counted across their open postings here.
Software Engineer jobs in the United States · Software Engineer jobs in San Francisco · Remote Software Engineer jobs · CRM jobs · Customer success jobs · Go jobs · Kubernetes jobs
Salesforce has 1,678 open roles listed here.
- Software Engineering LMTS - Backend Distributed Systemsbengaluru
- Software Engineering MTS (Backend - Distributed Systems)bengaluru
- Manager Technical Consulting (Salesforce Tech arch+domain(Energy& Utilities Cloud or E & U domain Experience mandatory))
- Customer Success Manager-(Tableau Exp Mandatory)-AMER Shiftbengaluru
- Senior Technical Architect (Revenue/CPQ)bengaluru
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for productivity roles keep coming back to CI/CD, Kubernetes, Observability, Python. Practise those questions before you sit with Salesforce.
Questions you are likely to be asked
- Why do you want to join Salesforce?
- What is your experience with Salesforce? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Senior/Lead Software Engineer, Developer Productivity (AI Tooling) at Salesforce interview free →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. The Experience The AI Solutions team in Technology & Product builds internal products and platforms that help Salesforce engineers adopt AI-assisted development safely, effectively, and measurably. Our work spans developer experiences, AI usage and outcome intelligence, governance, telemetry, and integrations with coding tools and engineering systems. As a Lead Member of Technical Staff, you will design, build, and own full-stack product and platform capabilities across desktop applications, backend services, data pipelines, dashboards, and developer-facing integrations. You will help turn fast-moving AI developer productivity ideas into reliable software that thousands of Salesforce engineers can use every day. What You'll Actually Be Doing Lead the technical design and delivery of complex, cross-cutting capabilities across internal developer-productivity products, spanning desktop experiences, backend services, data and analytics platforms, governance workflows, and integrations with AI coding tools and engineering systems. Build backend APIs, data models, ingestion flows, dashboards, and user experiences that connect AI tool usage to outcomes engineers and leaders can act on. Set technical direction for a product or platform area, translating ambiguous requirements into design specifications, test strategies, and incremental delivery plans; partner with product and engineering stakeholders to shape medium-term priorities and validate feasibility. Define and raise the operational bar across the systems you lead by establishing telemetry, SLIs and SLOs, controlled rollout strategies, playbooks, and long-term ownership practices; lead incident investigation and root-cause analysis when needed. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Establish and curate the shared system context - designs, constraints, standards, operational knowledge, and decision records - that helps both engineers and AI agents operate accurately and reliably. Raise the team's technical quality through design and code reviews, coaching, pairing, and clear definitions of done; delegate appropriately while remaining accountable for the overall technical outcome. You're Our Person If... 6+ years of experience designing and building production software, including full-stack applications, backend services, developer tools, or internal platforms. Strong programming skills and experience working across frontend, backend, APIs, data stores, and distributed system boundaries. Experience taking ambiguous product or platform requirements from design through implementation, testing, rollout, and production ownership. Ability to explain initiatives and designs clearly to engineers, product partners, and engineering leadership; make sound technical tradeoffs; influence stakeholders; and lead complex work across teams. A demonstrated, genuine AI-first approach to engineering — using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) to move faster, build fluency across the stack, and contribute well beyond your core specialty. Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. A related technical degree is required. Even Better If... Experience building developer tools, AI coding tool integrations, internal platforms, telemetry systems, or enterprise desktop applications. Familiarity with React, TypeScript, Go, service APIs, event pipelines, analytics systems, or cloud and Kubernetes-based services. Experience building self-service experiences, dashboards, plugin systems, command-line tools, or standard integration patterns for engineering teams. Interest in AI developer productivity and helping engineering teams adopt AI tools in ways that are measurable, trustworthy, and scalable. 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 need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form . Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. 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 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
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Listed on workday · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Salesforce, not by us.