Sr. Software Engineering Manager

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. Experience Salesforce Data Cloud powers the intelligence layer of Customer 360 by unifying data from every system, channel, and interaction to build a real‑time customer profile. The Streaming Connectors team enables customers to ingest high‑volume, real‑time data from cloud data warehouses, messaging systems, web and mobile applications, and enterprise applications into Data Cloud with low latency, high reliability, and enterprise‑grade security. We are looking for an experienced and technically strong Senior Engineering Manager to lead the Streaming Data Platform team. In this role, you will drive the development of scalable streaming ingestion services, customer‑facing connectors, and platform capabilities that power billions of events every day. You will lead a team of talented engineers while partnering closely with Product Management, Architecture, Infrastructure, and Customer Engineering to build highly available, cloud‑native services that delight our customers. What You’ll Actually Be Doing Lead and grow a high‑performing engineering team responsible for building and operating Data Cloud’s real‑time streaming connectors and ingestion platform. Define and execute the technical roadmap for customer‑facing streaming integrations across cloud data warehouses, messaging platforms, and SaaS applications. Drive the architecture and delivery of highly scalable, low‑latency distributed systems capable of processing billions of events with high availability and operational excellence. Partner closely with Product Management, Architecture, Security, and Infrastructure teams to prioritize customer needs and deliver innovative platform capabilities. Champion engineering excellence through design reviews, code quality, testing, automation, and operational best practices. Drive improvements in reliability, scalability, performance, and cost efficiency across streaming services and distributed processing pipelines. Own production health by improving observability, monitoring, incident response, and operational readiness for business‑critical services. Foster a culture of ownership, continuous learning, and technical innovation while mentoring engineers and developing future technical leaders. Collaborate across the Data Cloud organization to define best practices for streaming architectures, distributed systems, and cloud‑native application development. You’re Our Person If 10+ years of software engineering experience building large‑scale distributed systems. 5+ years of engineering management experience leading high‑performing software engineering teams. Strong experience building and operating cloud‑native distributed systems in production. Hands‑on experience with streaming technologies such as Apache Kafka, Apache Spark Structured Streaming, or similar real‑time processing frameworks. Experience designing scalable ingestion pipelines, event‑driven architectures, or data integration platforms. Strong programming skills in Java, Scala, or Python. Experience building services on Kubernetes and public cloud platforms such as AWS, Azure, or GCP. Understanding of distributed systems concepts including scalability, fault tolerance, consistency, partitioning, checkpointing, and resiliency. Experience with modern observability platforms. Proven ability to balance customer delivery, platform investments, operational excellence, and engineering velocity. Excellent communication and collaboration skills with experience partnering across Product, Architecture, Infrastructure, and Customer Success organizations. BS/MS in Computer Science or a related technical discipline, or equivalent practical experience. LI-Y* 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 the 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 the 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. 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: 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 $172,500 - $260,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr