Engineering Manager
Lifesight Technologies Private LimitedMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead engineering squads building scalable, production-grade marketing measurement and decision intelligence SaaS platform capabilities, including data pipelines, attribution systems, dashboards, and AI-assisted insights.
Own and guide architecture, backend services, APIs, integrations, and product modules ensuring solutions are scalable, secure, maintainable, and aligned with product needs.
Partner closely with cross-functional teams to translate complex customer and measurement requirements into engineering roadmaps and production-ready features, while championing AI tool integration for development enhancement.
Minimum Requirements
8-12 years engineering experience with 2-4 years managing engineering teams in product or SaaS environment.
Hands-on backend or full-stack engineering skills using Java, Python, TypeScript, JavaScript, or similar languages.
Experience with cloud platforms such as GCP or AWS and modern distributed systems.
Knowledge of production readiness practices including SLOs, incident response, root cause analysis, disaster recovery, and capacity planning.
Ideal Candidate Profile
Experienced leader comfortable operating at the intersection of product engineering, data systems, cloud infrastructure, security, and marketing technology.
Strong familiarity with marketing technology domain including MarTech, AdTech, marketing analytics, incrementality testing, experimentation platforms, and attribution.
Capable of converting complex business and product challenges into structured, scalable engineering solutions with a focus on reliability and observability in fast-moving SaaS environments.
