Senior Engineering Manager – Delivery

XenonStack; Mohali; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

XenonStack is seeking a Senior Engineering Manager – Delivery to own end-to-end product delivery across our Agentic AI platforms. You will lead delivery from commitment through release and post-release stabilization, coordinating across Product, AI Engineering, and AI Quality & Reliability to ensure predictable releases and production stability.

You should have 10+ years in engineering with 5+ years in delivery leadership, strong Agile/Scrum experience, and a track record delivering multi-team

Qualifications

• 10+ years of engineering experience required.
• 5+ years in engineering management or delivery leadership.
• Proven track record delivering complex multi-team enterprise software.
• Strong experience with Agile, Scrum, and scaled delivery frameworks.
• Excellent risk management, planning, and stakeholder communication skills.

Responsibilities

• Own delivery execution from commitment to release and post-release stabilization.
• Drive release planning, sequencing, and dependency management across teams.
• Ensure realistic, transparent, and accountable delivery plans.
• Co-own release readiness with leadership and ensure monitoring plans.
• Lead and mentor delivery-focused engineering managers and program leads.
• Own delivery KPIs (rework rate, release stability, cycle time) and drive continuous improvement.

Skills

10+ years engineering

5+ years delivery leadership

Agile / Scrum

risk management

stakeholder communication

Job description

XenonStack is the fastest-growingData and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, and scale AI agents that deliver measurable business outcomes.

We build enterprise-grade platforms across the agentic stack:

A unified context layer powering memory, reasoning, grounding, and decision intelligence for AI agents across complex enterprise workflows.

NexaStack AI – Agentic Infrastructure Automation Platform

A cloud-native platform for deploying, operating, observing, and scaling agentic workloads, inference pipelines, and AI infrastructure with security, reliability, and efficiency.

An enterprise platform for building, orchestrating, governing, and operating AI agents that automate real-world business processes at scale.

Our mission is toaccelerate the world’s transition to AI + Human Intelligenceby making agentic systemsreliable, responsible, and enterprise-ready.

THE OPPORTUNITY

We are seeking aSenior Engineering Manager – Deliveryto ownend-to-end product delivery executionacross our Agentic AI platforms.

This role is accountable forpredictable releases, delivery rigor, and production stability, orchestrating execution acrossProduct, AI Engineering, and AI Quality & Reliability—without owning architecture, product prioritization, or quality standards.

If you excel atexecution leadership, delivery discipline, and cross-functional alignment, this role is designed for you.

ROLE MISSION

Ensure thatwhat is committed gets delivered—on time, with confidence, and with minimal rework—while continuously improving delivery velocity, stability, and execution maturity.

KEY RESPONSIBILITIES

1. End-to-End Delivery Ownership

Own delivery execution fromcommitment → release → post-release stabilization.

Drive delivery planning, sequencing, and dependency management across teams.

Ensure delivery plans are realistic, transparent, and accountable.

2. Release Planning & Coordination

Lead release planning, cut decisions, and timelines across multiple teams.

Coordinate cross-platform releases and resolve inter-team dependencies.

Own release calendars, communication plans, and stakeholder updates.

3. Delivery Predictability & Risk Management

Own delivery predictability across scope, timelines, and confidence.

Identify risks early and proactively drive mitigation plans.

Ensure no last-minute surprises for leadership or customers.

4. Go / No-Go Readiness

Co-own release readiness decisions with theHead of AI Quality & Reliability.

Ensure scope completeness, known risk visibility, rollback readiness, and monitoring plans.

Provide final delivery readiness recommendations.

5. Cross-Functional Alignment

Act as the delivery integrator across:

Product Management(what & why)

AI Quality & Reliability(confidence & correctness)

Resolve execution friction and unblock teams proactively.

6. People Leadership (Delivery Track)

Lead and mentor delivery-focused Engineering Managers and Program Leads.

Build a culture ofownership, urgency, and execution excellence.

Drive performance management and career development for delivery roles.

7. Delivery Metrics & Continuous Improvement

Own and report delivery KPIs, including:

Rework rate

Release stability

Cycle time and throughput

Use metrics to improve systems and processes—not to assign blame.

8. AI-Driven Delivery Enablement

Champion AI adoption across delivery workflows:

AI-assisted planning and estimation

Automated readiness and release checks

Partner withAgentOps and tooling teamsto continuously improve delivery velocity and quality.

SKILLS & QUALIFICATIONS

Must-Have

10+ years of engineering experience, with5+ years in engineering management or delivery leadershiproles.

Proven track record of deliveringcomplex, multi-team enterprise softwarepredictably.

Strong experience withAgile, Scrum, and scaled delivery frameworks.

Excellent risk management, planning, and stakeholder communication skills.

Ability to operate calmly under pressure and bring clarity in ambiguous situations.

Good-to-Have

Familiarity withcloud-native architectures and DevOps practices.

Exposure to enterprise domains such asBFSI, GRC, Security, or FinOps.