Job Description

Job Information

Date Opened


12/16/2025
Job Type


Full time
Industry


Technology
Work Experience


9 - 12 Years
City


Mohali
State/Province


Punjab
Country


India
Zip/Postal Code


160075

Senior Engineering Manager - Delivery

=========================================

ABOUT XENONSTACK

--------------------



XenonStack is the fastest-growing

Data 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:

ElixirData - Context OS for Agentic Intelligence

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.

Akira AI - Agentic AI Platform

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



Our mission is to

accelerate the world's transition to AI + Human Intelligence

by making agentic systems

reliable, responsible, and enterprise-ready

.

THE OPPORTUNITY

-------------------



We are seeking a

Senior Engineering Manager - Delivery

to own

end-to-end product delivery execution

across our Agentic AI platforms.



This role is accountable for

predictable releases, delivery rigor, and production stability

, orchestrating execution across

Product, AI Engineering, and AI Quality & Reliability

--without owning architecture, product prioritization, or quality standards.



If you excel at

execution leadership, delivery discipline, and cross-functional alignment

, this role is designed for you.

ROLE MISSION

----------------



Ensure that

what 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 from

commitment 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 the

Head 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 Engineering

(how)
+

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 of

ownership, urgency, and execution excellence

. Drive performance management and career development for delivery roles.

7. Delivery Metrics & Continuous Improvement

Own and report delivery KPIs, including:

+ On-time delivery
+ Escaped defects
+ 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
+ Intelligent risk detection
Partner with

AgentOps and tooling teams

to continuously improve delivery velocity and quality.

SKILLS & QUALIFICATIONS

----------------------------

Must-Have

10+ years of engineering experience, with

5+ years in engineering management or delivery leadership

roles. Proven track record of delivering

complex, multi-team enterprise software

predictably. Strong experience with

Agile, 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

Experience delivering

AI/ML or platform products

. Familiarity with

cloud-native architectures and DevOps practices

. Exposure to enterprise domains such as

BFSI, GRC, Security, or FinOps

.

WHY SHOULD YOU JOIN US?

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