Note: The job is a remote job and is open to candidates in USA. Trispoke Managed Services Pvt. Ltd. is seeking an experienced Engineering Manager to lead a high-performing SaaS engineering team responsible for evolving a modern web platform while driving the development of next-generation AI-powered capabilities. The ideal candidate will manage engineering teams, improve delivery execution, and lead legacy-to-modern product transformations.
Responsibilities
- Lead and mentor a team of software engineers in a SaaS product environment
- Drive Agile/Scrum processes, sprint planning, retrospectives, estimation, and delivery execution
- Establish predictable engineering practices and improve team productivity
- Lead modernization initiatives while supporting existing production platforms
- Manage parallel workstreams across legacy and next-generation AI-enabled products
- Collaborate closely with Product, Design, and Technical Leadership to execute product roadmaps
- Manage hybrid engineering teams, including internal engineers and external vendors/contractors
- Ensure successful knowledge transfer, vendor transition, and engineering continuity
- Coach engineers through career development, mentorship, and technical leadership growth
- Promote engineering excellence through CI/CD, code reviews, testing, observability, and operational best practices
- Help integrate AI/ML capabilities into customer-facing products
Skills
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 7 12+ years of software engineering experience
- 3+ years of engineering management experience leading teams of 8+ engineers
- Experience leading SaaS product engineering teams
- Proven success managing legacy platform modernization while delivering new products
- Experience delivering AI-powered or Agentic AI features into production
- Experience managing hybrid teams consisting of employees and external vendors/contractors
- Strong understanding of Agile, Scrum, and engineering delivery best practices
- Experience improving engineering processes, sprint execution, and release predictability
- Strong communication and stakeholder management skills
- Experience with Generative AI, LLM integrations, AI Agents, or AI-assisted product development
- Familiarity with modern cloud platforms and distributed systems
- Knowledge of CI/CD pipelines, DevOps practices, monitoring, and observability
- Ability to review architecture and provide technical guidance without being an individual contributor
- Experience working with modern SaaS web applications
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