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Field Engineering Manager, Specialist Solutions Architects

Leads and develops a team of Specialist Solutions Architects supporting complex technical sales cycles, customer architectures, and strategic data and AI engagements. The role requires substantial technical pre-sales leadership experience, data and AI platform expertise, and strong cross-functional partnership skills.

About the job

Responsibilities

  • Lead, hire, train, and develop a team of Specialist Solutions Architects (SSAs).
  • Guide the team in enterprise software, data engineering, and data science/machine learning expertise.
  • Support complex technical sales cycles, customer architectures, and strategic customer engagements.
  • Communicate complex, business-value-focused solutions to technical and executive stakeholders.
  • Partner with Solution Architects, Sales, Product Management, and Forward Deployed Engineering.
  • Exceed regional consumption targets by deploying technical experts against critical use cases.
  • Drive customer success, platform adoption, strategic account growth, and churn prevention.
  • Establish cross-functional relationships and foster collaboration between Field Engineering, Sales, and internal partners.
  • Resolve strategic customer questions and concerns.
  • Handle escalations, mentor team members, and build career paths.

Requirements

  • 5+ years of experience leading technical pre-sales and/or post-sales teams, managing elite technical individual contributors.
  • 3+ years developing the data and AI space with highly technical platforms such as distributed computing, cloud data warehousing, MLOps, or generative AI infrastructure.
  • Strong command of technical qualification methodologies, architecture design validation, structured proof-of-concept (POC/MVP) management, and value-selling frameworks.
  • Experience advising technical executives on strategic data infrastructure decisions.
  • Experience hiring, onboarding, developing, and promoting technical talent.
  • Experience partnering successfully with Sales, Product Management, and Forward Deployed Engineering.
  • Ability to prioritize, challenge constructively, plan strategically, and think analytically.
  • Candidates based in the Nordics region may be considered with flexibility for higher travel requirements.

Benefits

  • Comprehensive benefits and perks tailored to the employee's region.

Skills

Enterprise Software, Data Engineering, Data Science, Machine Learning, Distributed Computing, Cloud Data Warehousing, MLOps, Generative AI, Architecture Design, Proof Of Concept, Value Selling, Technical Qualification Methodologies

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