Software Engineering Manager, hibrido

Omada; Alicante; Híbrido; EUR 80.000 - 100.000; Jornada completa

Descripción de la vacante

A leading SaaS company based in Alicante is seeking an experienced Software Engineering Manager to lead two engineering teams. The role involves overseeing the delivery of analytics and AI products while ensuring engineering best practices. The ideal candidate will have a strong technical background, proven leadership skills, and experience in a cloud-based environment. Responsibilities include managing teams, driving productivity, and fostering collaboration between teams. This position requires a commitment to working from the Alicante office at least three days a week in a modern, collaborative environment.

Servicios

Internet reimbursement

Benefit platform (100 EUR per month)

Modern office

Formación

• Proven experience as an Engineering Manager leading multiple teams simultaneously.
• Strong technical background that enables independent assessment of engineering decisions.
• Strong customer focus treating issues with urgency.

Responsabilidades

• Act as a technical partner in architectural discussions.
• Drive engineering best practices across the teams.
• Communicate delivery risks proactively.

Conocimientos

Leadership

Technical credibility

Incident management

Cloud-based SaaS experience

Fluency in English

Herramientas

Sisense

CI / CD

Descripción del empleo

Overview

Software Engineering Manager – We are looking for an experienced Software Engineering Manager to lead two highly strategic engineering teams based in Alicante.

Two teams:

• A Business Intelligence (BI) team developing and operating Omada Identity Analytics, leveraging Sisense
• An AI / ML team responsible for Omada s agentic AI Platform driving applied AI innovation across our Identity Governance platform.

Responsibilities

• Act as a credible technical sparring partner for senior engineers and architects – you must be able to challenge assumptions, spot risks, and engage meaningfully in architectural discussions
• Drive engineering best practices across quality, security, observability, and CI / CD
• Identify and address overengineering, technical rabbit holes, and delivery blockers early
• Champion agentic development practices within both teams, ensuring engineers actively evaluate whether work should be implemented directly or delegated to AI agents
• Drive measurable productivity gains from AI tooling, targeting cycle time reductions through golden paths and self-service capabilities in collaboration with the Product Owner
• Own end-to-end delivery of Omada Identity Analytics and Javi (AI Assistant), including quality outcomes, incident response, and release predictability
• Communicate delivery risks proactively and early
• Ensure teams meet commitments on quarterly planning, estimation, and organizational processes
• Drive incident responsiveness with appropriate urgency for customer-facing issues, ensuring incident response SLAs are consistently met
• Manage engineering spend within agreed budgets, ensuring cost-efficient use of cloud resources, travel, and training with proactive escalation of risks or forecast overruns
• Lead, coach, and develop two cross-functional engineering teams
• Build trust with experienced engineers by demonstrating technical credibility and giving them appropriate autonomy
• Navigate the dynamics of managing a team that includes a tenured Principal Developer with deep institutional knowledge
• Maintain high team engagement and voluntary attrition well below 10
• Ensure all engineers have documented growth plans and complete a minimum of 40 hours of professional development annually, with emphasis on AI and future-skills upskilling
• Actively manage workload sustainability and PTO usage to prevent burnout
• Support hiring, onboarding, and performance management
• Foster collaboration between the BI and AI / ML teams while respecting their different technical profiles
• Drive roadmap execution in close partnership with Product Management and Architecture
• Contribute to strategic decisions on analytics, data platforms, and AI adoption
• Build relationships across Product, Operations, and Service Delivery
• Ensure proactive, transparent communication with all stakeholders

Requirements

• Proven experience as an Engineering Manager leading multiple teams simultaneously
• Strong technical background that enables you to independently assess engineering decisions, technical risk, and code quality
• Experience holding teams accountable
• Strong customer / incident focus - treating customer-facing issues with appropriate urgency
• Experience in a SaaS / cloud-based environment
• Fluent in English (spoken and written)

Location Work Model

• Based in Alicante, Spain, or within reasonable commuting distance
• Commitment to working from the Alicante office at least 3 days per week

We Offer

• A key leadership role in a fast-growing, international SaaS company
• Responsibility for two mission-critical product areas : analytics and AI
• Internet reimbursement
• Benefit platform (100 EUR per month)
• Modern office in Alicante with a collaborative engineering culture
• Opportunity to shape the future of analytics and AI within Identity Governance

SaaS, AI, ML, CI / CD, Sisense, Power BI, Tableau