Senior Manager Software Engineering
Publicis Groupe (company site, opens in a new tab)13+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 1d ago
Reach people at Publicis Groupe
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Publicis Groupe you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end delivery of multiple strategic software programs, coordinating teams, capacity, risks, quality, and production readiness against measurable outcomes.
- Set technical and AI direction across enterprise applications, integrations, data platforms, and AI solutions; oversee architecture, engineering standards, security, and responsible AI adoption.
- Lead engineering managers and technical teams while partnering with clients and senior stakeholders on solution choices, roadmaps, delivery health, and talent development.
Minimum Requirements
- Work Experience Required: 13+ years in software engineering, including 5+ years leading multiple engineering teams in customer-facing environments.
- Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, Information Technology, or a related field.
- Strong technical understanding of C#/.NET, REST APIs, microservices, distributed systems, modern web architecture, and enterprise data technologies; experience delivering complex enterprise-scale software programs using Agile practices.
- Strong AI architecture capability across RAG, agentic systems, evaluation, guardrails, identity, and data protection; demonstrated ownership of an AI solution from discovery through implementation and operational readiness.
Ideal Candidate Profile
- Has led multi-team, customer-facing enterprise programs while balancing delivery commitments, technical direction, quality, and business outcomes.
- Can guide engineering leaders and teams across architecture, software delivery, quality, data, operations, and responsible AI adoption—not just individual technical execution.
- Marketing technology, CRM, loyalty, customer data, high-volume transaction, or large-scale distributed platform experience is a relevant advantage.