Job Description

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?

Skills Required