Senior Engineering Manager & Munich Site Leader (m/f/d)

Senior Engineering Manager, Digital Solutions

This position works out of our Munich location within the Laralab GmbH.

Overview

Provides overall technical leadership for a portfolio of digital products, ensuring modern, scalable, and secure solutions that leverage GenAI, Agentic AI, and code‑generation tools to accelerate design, development, and delivery. This leader drives architecture, rapid prototyping, and deployment across edge and cloud environments; owns the technology product goal and backlog; and partners closely with Product, Marketing, Corporate IT, and Security within Abbott to ensure alignment to market and healthcare needs.

The role is accountable for building and developing high‑performing engineering teams, stewarding budgets and schedules, and serving as a visible technical representative across the organization and with key external stakeholders.

Responsibilities

• Partner closely with Product, Marketing, IT, Security, and business stakeholders to align roadmaps and manage dependencies.
• Represent engineering with internal executives, customers, partners, and regulatory bodies.
• Manage external development partners, vendors, and suppliers; support sourcing, cost optimization, and delivery excellence.
• Hire, mentor, and develop engineering and architecture talent, with emphasis on AI, platform engineering, and modern software disciplines.
• Cultivate an inclusive, collaborative, high‑performance culture focused on innovation, ownership, and continuous learning.
• Promote strong communication and cross‑functional teamwork across all levels of the organization.
• Lead and mentor distributed engineering teams; ensure high‑quality execution, predictable delivery, and continuous improvement.
• Proactively identify and mitigate technical, delivery, and integration risks across programs.

Munich Site Leadership

• Serve as the site leader for the Munich Digital Solutions organization.
• Provide executive direction for the Munich office relocation to a larger site, including strategic, financial, and operational considerations.
• Act as the primary escalation point for site‑related people, operational, and organizational challenges, partnering with global Digital Solutions leadership and Abbott functional leaders as needed.
• Act as the Munich site’s cultural leader and connective "glue," fostering strong engagement, collaboration, and a shared sense of purpose.
• Define annual Munich site objectives and drive execution; support budgeting and resourcing activities for the site.
• Coach and mentor direct reports focused on R&D and site operations.
• Lead the Munich team’s field‑visit program, ensuring teams maintain a strong connection to real‑world use and customer context.

Qualifications

• Required
• Bachelor’s degree in computer science, Electrical/Computer Engineering, or related field; or equivalent experience.
• Minimum 10+ years in software engineering with 5+ years leading multi‑team engineering organizations building cloud‑native or hybrid solutions.
• Demonstrated success leading architecture and delivery for complex, scalable systems across cloud and/or edge.
• Hands‑on understanding of GenAI/LLMs, Agentic AI patterns, and code‑generation tools; proven record of introducing modern engineering practices to accelerate throughput.
• Strong experience with DevOps/CI‑CD, containerization and orchestration (e.g., Docker, Kubernetes), IaC (e.g., Terraform), and observability.
• Proven ability to own and manage a technology backlog, translate business outcomes to technical work, and prioritize for value.
• Exceptional stakeholder management and communication skills; ability to influence across enterprise functions (Product, Marketing, IT, Security, Compliance).
• Preferred
• Master’s degree (e.g., MS in Computer Science, Computer Engineering, or Engineering Management).
• Experience in regulated healthcare, medical devices, or similarly regulated industries; familiarity with quality systems and software lifecycle standards (e.g., IEC 62304) is a plus.
• Practical experience with LLMOps/MLOps (e.g., model selection, fine‑tuning, evaluation, prompt engineering, safety, and data governance).
• Exposure to vector databases, AI orchestration frameworks (e.g., Semantic Kernel, LangChain), API gateways, and event streaming technologies such as Kafka.
• Track record of developing platform capabilities (SDKs, templates, reference architectures) that enable self‑service and scale across product teams.
• Experience working with third‑party vendors, SIs, and managing technical contracts or sourcing negotiations.

Tools & Technology

• Cloud: AWS, Azure, GCP; serverless and containerized architectures
• Orchestration & IaC: Kubernetes, Helm, Terraform
• CI/CD & DevOps: GitHub, GitLab, Azure DevOps; automated testing, artifact management
• Observability: Prometheus, Grafana, Datadog, OpenTelemetry
• AI/ML: LLMs, vector databases, RAG, agent frameworks (Semantic Kernel, LangChain), evaluation and safety tooling
• Data & Streaming: Kafka, Spark/Databricks, event‑driven architectures
• Security: SAST/DAST, SCA, secrets management, policy‑as‑code

Abbott is an Equal Opportunity Employer, committed to employee diversity.