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Sr. Manager, Field Engineering (Data & AI)

192Β 100 - 264Β 175$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Sr. Manager, Field Engineering (Data & AI): Leading a team of Solutions Architects for the Manufacturing and High Tech segments to accelerate customer value from data and AI with an accent on pre-sales strategy and technical leadership. Focus on scaling the SA team, driving revenue growth, and guiding strategic data infrastructure decisions for enterprise customers.

Location: Must be based in the San Francisco Bay Area or the Western United States

Salary: $192,100 β€” $264,175 USD

Company

Databricks is the data and AI company providing the Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

  • Manage and grow a high-performing team of Solutions Architects for the Manufacturing and HiTech segments.
  • Partner with Sales leadership to achieve revenue and consumption targets while ensuring customer success.
  • Guide customers through technical qualification, proof of concepts (PoCs), and architecture discussions.
  • Maintain and execute a robust hiring pipeline to scale the Field Engineering organization.
  • Ensure the technical growth of the team, keeping them ahead of the curve in the data and AI technology stack.
  • Collaborate with internal partners including Product Management, Engineering, and Customer Success.

Requirements

  • Must be based in the San Francisco Bay Area or the Western United States.
  • 3+ years of experience building and leading technical pre-sales teams (hiring, onboarding, and coaching).
  • 7+ years of experience in the Data + AI space (e.g., big data, data science, ML, or data warehousing).
  • Deep technical competence to act as a trusted advisor to technical executives on data infrastructure.
  • Ability to review and influence complex, scalable architectures.
  • Proven track record in performance management and promoting technical talent.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee's region.
  • High-growth environment working with the creators of Apache Spark, Delta Lake, and MLflow.
  • Strong commitment to diversity, equity, and inclusive hiring practices.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’