Manager, Engineering
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SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips.
Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com.
What we’re looking forWe are seeking an experienced Engineering Manager to join our Product Engineering team in Bengaluru to lead delivery across mature, revenue-generating software products. Reporting to the Engineering Director, you will manage teams balancing critical sustenance engineering—maintaining platform stability, security, observability, stack upgrades, and incident response—with steady-state new feature development. This role serves as the central engineering anchor and primary cross-functional liaison with Customer Operations, Customer Success, Technical Support Engineering, SecOps, and Infrastructure. If you take pride in operational excellence, reliability engineering, and leveraging modern AI/GenAI tools to drive engineering productivity, this is an exciting opportunity to deliver high-impact results.
What you’ll be working on- Own end-to-end delivery, agile execution, and sprint planning across products, balancing new feature development with sustenance, stack migrations, and technical debt reduction.
- Act as the primary cross-functional engineering contact for Customer Operations, Customer Success, TSE, SecOps, Platform, and Product teams to align priorities and communicate technical trade-offs.
- Drive technical health, platform uptime, performance, vulnerability patching, dependency updates, and SLA compliance across high-risk code reviews and architecture decisions.
- Oversee production support, triage workflows, incident management, on-call rotations, and root-cause analysis to systematically prevent recurring issues.
- Hire, manage, coach, and retain engineers across multiple product teams, fostering a strong engineering culture and productivity standard.
We’d love to hear from people with- 10–12 years of software engineering experience, including 3+ years in an engineering management role managing production, revenue-generating software across concurrent product lines.
- Track record leading sustenance engineering, infrastructure/framework upgrades, dependency management, legacy system support, production incident management, and on-call operations.
- Strong full-stack technical background across languages such as PHP, Python, Java, Node.js, relational/non-relational databases, cloud infrastructure, and CI/CD pipelines.
- Demonstrated hands-on experience using AI/GenAI tools (e.g., coding assistants, automated code review, testing) to enhance engineering productivity and drive workflow improvements.
- Proven capability to partner with Product Management to sequence capabilities and navigate competing demands from cross-functional business stakeholders.
SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, this opportunity is hybrid and requires you to work from the SurveyMonkey office in Bengaluru 1 day per week.
#LI-Hybrid
Why SurveyMonkey? We’re glad you asked
At SurveyMonkey, curiosity powers everything we do. We’re a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers. Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like...
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About Surveymonkey
Learn more about Surveymonkey and their company culture.
Online survey platform for creating surveys, collecting responses and analyzing results.
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