Netsmartz
Website:
netsmartz.com
Job details:
Engineering Manager
Experience: 9+ Years
Location - Gurugram\Chandigarh
Primary Expertise: Solution Engineering, Client Delivery, Product & Project Leadership, Enterprise Software
Role Summary
The Engineering Manager owns client engagements end-to-end — turning business objectives into successful engineering outcomes. This role blends technical consulting, solution ownership, project leadership, and product management across the full lifecycle: discovery, planning, execution, release, and customer acceptance.
Unlike a traditional Engineering Manager, Product Owner, or Project Manager, this role sits at the intersection of business, architecture, engineering, and delivery — partnering closely with Solution Architects, Technical Leads, and Delivery Excellence. The ideal candidate has grown from a hands-on engineering background into delivery leadership: comfortable in architecture discussions, driving execution, and leading client conversations, without owning day-to-day development.
Core areas of ownership: solution definition and backlog governance, project and delivery management, documentation governance, technical collaboration, and client relationship management — with AI embedded throughout.
Must Haves
- 9+ years in software engineering, technical consulting, solution delivery, or enterprise application development.
- Minimum 4 years leading enterprise software engagements.
- Prior hands-on software engineering experience(preferably .Net, Javascript) (non-negotiable).
- Proven experience owning client engagements across the complete SDLC.
- Strong working knowledge of software architecture, APIs/integrations, microservices, cloud platforms (Azure), databases, and security fundamentals — enough to engage credibly with architects and engineers without coding daily.
- Demonstrated ability to own a product backlog — writing epics, user stories, and acceptance criteria, and prioritizing based on customer value and delivery constraints.
- Experience running agile delivery (sprint planning, reviews, retrospectives, release planning) and project governance (RAID, milestones, scope, escalations).
- Practical, hands-on experience using AI tools (e.g., Copilot, ChatGPT, Claude, Gemini, Jira AI) for documentation, backlog management, reporting, or discovery — not just familiarity.
- Strong client-facing communication skills, including discovery workshops, executive updates, and stakeholder management.
- Bachelor's/Master's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
Good to Haves
- Background as a Software Engineer, Senior Engineer, or Technical Lead before transitioning into delivery leadership.
- Certifications: Agile, Scrum, PMP, SAFe, Azure, AWS, or Business Analysis.
- Experience supporting enterprise pre-sales, RFPs, SOW creation, and digital transformation initiatives.
- Exposure to creating reusable solution accelerators or standardized discovery frameworks.
- Familiarity with AI-driven dashboards for project visibility and reporting.
Key Responsibilities
Client Discovery & Solution Consulting
- Lead discovery workshops; analyze existing systems and workflows.
- Define solution vision, roadmap, and implementation strategy.
- Support proposals, demos, and pre-sales technical-functional consulting.
Solution & Product Ownership
- Own the product backlog across the engagement lifecycle.
- Define epics, features, user stories, acceptance criteria, and business rules.
- Validate technical feasibility with architects; protect solution integrity through delivery.
Project & Delivery Management
- Own planning, sprint/release cadence, timelines, and scope.
- Manage RAID, dependencies, change requests, and escalations.
- Drive delivery tracking through to production readiness and customer sign-off.
Documentation & Governance
- Own quality and completeness of BRDs, FRDs, Solution Design Docs, RTM, UAT docs, release notes, and SOW inputs.
Technical Collaboration
- Participate in architecture reviews; flag technical risks early.
- Ensure non-functional requirements are captured before development starts.
- Facilitate trade-off discussions between business priorities and technical complexity.
Client Success
- Act as trusted advisor; build long-term stakeholder relationships.
- Run executive steering meetings; manage expectations proactively.
- Ensure delivered solutions realize measurable business value.
AI-Assisted Delivery
- Use AI to accelerate discovery, generate documentation/user stories, support backlog refinement, and produce reporting and executive summaries.
- Identify AI/automation opportunities within client processes and promote responsible AI adoption.
Click on Apply to know more.
