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