Engineering Manager, Cloud & AI-Driven Data Platform

Picarro, Inc

Santa Clara (CA)

Hybrid

USD 200,000 - 215,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
FSA/HSA Plans
Life Insurance
Disability Insurance
PTO & Holidays
401K
Social Events
Wellness Programs

Job summary

Picarro, Inc. is seeking a Software Engineering Manager to lead a team responsible for cloud software, data platform, and AI-agentic product engineering.

This hybrid role blends technical leadership with people management to build a high-ownership engineering team that walks the line between architecture decisions and delivery. The role requires deep technical credibility, experience with data-intensive systems, and a track record of growing engineers, with compensation in a base salary range

Qualifications

  • 7+ years in software engineering with hands-on scope.
  • 2+ years direct management of engineers.
  • Experience with data-intensive/cloud platforms.
  • Experience integrating AI-assisted engineering practices.
  • Proven hiring and engineer development track record.

Responsibilities

  • Lead and grow a team of engineers including hiring and mentoring.
  • Set technical direction with senior ICs for architectures.
  • Promote prototype-first, fast-iteration AI-enabled development.
  • Translate business needs into a realistic road map and deliverables.
  • Collaborate across product, hardware, and other teams.
  • Maintain hands-on technical depth for architecture and hiring.
  • Foster on-call and reliability ownership across the team.

Skills

Engineering leadership
Cloud platforms
Data-intensive systems
AI-assisted practices
Hiring & mentoring
Architectural review
Production reliability

Job description

Picarro, Inc. is seeking a Software Engineering Manager to lead a team responsible for cloud software, data platform, and AI-agentic product engineering.

This hybrid role blends technical leadership with people management to build a high-ownership engineering team that walks the line between architecture decisions and delivery. The role requires deep technical credibility, experience with data-intensive systems, and a track record of growing engineers, with compensation in a base salary range

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