Senior Engineering Manager, Delivery

XenonStack Moments; Vallecito 15-8 Hualtaco I; Presencial; PEN 120.000 - 190.000; Jornada completa

Descripción de la vacante

XenonStack is seeking a Senior Engineering Manager – Delivery to own end-to-end product delivery across our Agentic AI platforms. You will drive execution across Product, AI Engineering, and AI Quality & Reliability, ensuring predictable releases and production stability.

Lead delivery-focused teams, manage risks, and align cross-functional stakeholders to accelerate velocity while maintaining quality and reliability in enterprise software environments.

Formación

• 10+ years of engineering experience with 5+ years in engineering management or delivery leadership roles.
• Proven track record 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.

Responsabilidades

• 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.
• Release Planning & Coordination across multiple teams.

Conocimientos

Delivery leadership

Agile/Scrum

Stakeholder management

Risk management

Cross-team collaboration

Enterprise software

Calm under pressure

Descripción del empleo

Senior Engineering Manager – Delivery

About Xenonstack

XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.

We Build Enterprise-grade Platforms Across The Agentic Stack

• Akira AI — Reasoning and agent orchestration. Turn models into collaborative, policy-governed agents that learn and act together.
• ElixirData — Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.
• NexaStack — Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.
• MetaSecure — Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.

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

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.