Field Deployment Engineer - Industrial AI, On-site Impact

squint.ai

San Francisco (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive Salary and Equity
Medical Vision Dental
Flexible PTO
Lunch and Dinner Service
Wellness Benefit
Maven Family Planning Benefits
Care.com Partnerships
Mental Health Services
401(k) Retirement Plan
Pre-Tax Commuter Benefit
Company-wide Retreats
Uber to/from the office

Job summary

Squint.ai is seeking a Deployment Engineer to bridge our platform with the real world on factory floors and job sites. You will write production code to integrate Squint’s knowledge graph and AI workflows into diverse customer environments, and you will embed with named accounts to turn ambiguous problems into shipped deployments.

You will own deployments end-to-end, build integrations and data pipelines, and travel to customer sites to observe operations and gather feedback that informs the

Qualifications

  • 3+ years of hands-on software engineering experience with track record of shipping production code.
  • Experience directly with customers or embedded in customer environments is a strong plus.
  • Comfort working in ambiguous, fast-paced environments and traveling on-site.

Responsibilities

  • Own deployments end-to-end from kickoff to go-live at customer sites.
  • Write production code for integrations, data pipelines, and custom workflows.
  • Go to factory floors and fields to observe work and gather real insights.
  • Provide clear feedback to product to shape the roadmap.
  • Earn trust from operators to executives by delivering reliable deployments.

Skills

Software Engineering
Customer-facing Experience
Shipping Production Code
On-site Travel

Job description

Squint.ai is seeking a Deployment Engineer to bridge our platform with the real world on factory floors and job sites. You will write production code to integrate Squint’s knowledge graph and AI workflows into diverse customer environments, and you will embed with named accounts to turn ambiguous problems into shipped deployments.

You will own deployments end-to-end, build integrations and data pipelines, and travel to customer sites to observe operations and gather feedback that informs the

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