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Field Engineering Manager – Polish speaker

Databricks · Zürich

New
🇬🇧 English
AWS Azure GCP Databricks Data Intelligence Platform MEDDPICC

Job description

About the role

As a Field Engineering Manager you will lead, coach, and scale a high‑performing pre‑sales Solutions Architecture team across Eastern Europe, driving Databricks’ market expansion and customer acceleration.

Key responsibilities

  • Scale & Enable Technical Talent: Hire, onboard, and mentor a top‑tier pre‑sales engineering team across Eastern Europe.
  • Drive Consumption‑Based Growth: Partner with Sales leadership to forecast, qualify, and accelerate enterprise sales cycles.
  • Cultivate Value‑Engineered Solutions: Institute rigorous pre‑sales methodologies that shift conversations to strategic business outcomes.
  • Build Executive & Strategic Alignment: Engage directly with customer executives and regional SI/CSP partners to secure reference architectures and co‑selling motions.
  • Foster an Inclusive, Builder‑First Culture: Promote a collaborative, customer‑obsessed engineering culture rooted in technical curiosity.
  • Expand Regional Brand & Market Presence: Lead community engagement, executive roundtables, and developer events in Eastern Europe.

Required profile

  • Proven track record of building and scaling technical pre‑sales or solutions architecture teams in a hyper‑growth SaaS/Cloud environment.
  • Deep domain expertise as a practitioner or consultant in at least one core technical domain.
  • Hands‑on understanding of consumption‑driven SaaS business models and technical pipeline management.
  • Ability to review and influence complex multi‑cloud data architectures (AWS, Azure, GCP).
  • Strong executive presence with communication, whiteboarding, and storytelling skills.
  • Professional fluency in English; fluency in Polish (preferred) or other Eastern European languages.

Required skills

  • AWS, Azure, GCP (multi‑cloud platforms)
  • Databricks Data Intelligence Platform (Data & AI solution architecture)
  • Pre‑sales methodologies such as MEDDPICC

Questions fréquentes

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Source : ats:greenhouse

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Published 12 hours ago

Expires 1 month from now

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Databricks

Zürich