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8 дней назад

Director of Software Engineering, Analytics (AI)

180 700 - 225 900$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director of Software Engineering, Analytics (AI): Leading the engineering organization building machine-learning models and pipelines that transform daily satellite imagery into analytics for monitoring sites, ports, and activity across countries with an accent on computer vision, geospatial analytics, and dual-use classified and unclassified environments. Focus on scaling from hand-built detectors to foundation-model-based methods, expanding coverage from hundreds to thousands of sites, and managing delivery, staffing, cost, and capacity.

Location: Hybrid in Denver, CO or Washington, DC; requires working from the selected office 3 days per week. US person status and the ability to obtain and hold a US government security clearance are required.

Salary: $180,700–$225,900 USD annual base salary, with potential bonus and equity incentives.

Company

hirify.global designs, builds, and operates a constellation of imaging satellites and a cloud-based platform that delivers satellite data and analytics for commercial, environmental, humanitarian, defense, and government customers.

What you will do

  • Lead, staff, and scale the engineering organization responsible for analytics models and pipelines built from daily satellite imagery.
  • Develop talent strategy, staffing plans, recruiting processes, performance management, and organizational depth.
  • Translate program commitments into dated deliverables and manage analytics interfaces with Global Monitoring Service and Maritime Domain Awareness application teams.
  • Define the operating model for analytics serving classified and unclassified environments while keeping models dual-use.
  • Guide the transition from hand-built detectors and task-specific models to foundation-model-based methods and scale monitoring from hundreds to thousands of sites.
  • Plan pipeline cost and capacity for a ten-times scale-up while reporting to the VP of Technology.

Requirements

  • 8+ years of experience in software or machine learning engineering, focused on computer vision, geospatial analytics, or high-scale data systems.
  • 6+ years leading engineering teams, including direct management of engineering managers and organizational scaling.
  • Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field, or equivalent practical experience.
  • Production experience shipping machine learning, computer vision, or geospatial analytics and owning the results.
  • Experience with ITAR and EAR requirements and with cleared and uncleared staff on the same team.
  • US person status and an active US government security clearance, or eligibility to obtain one upon hire, are required; TS/SCI is preferred.

Nice to have

  • Master’s degree or Ph.D. in Computer Science, Machine Learning, Remote Sensing, or a related discipline.
  • Experience moving computer vision teams from task-specific models to foundation models or embeddings.
  • Experience delivering analytics into classified, air-gapped, or sovereign cloud environments such as AWS GovCloud or C2S.
  • Experience integrating acquired teams or merging engineering groups.
  • Knowledge of Synthetic Aperture Radar, maritime analytics, or activity-based intelligence.

Culture & Benefits

  • Medical, dental, and vision plans with an HSA and company contribution.
  • Generous paid time off, holidays, company-wide days off, and 16 weeks of paid parental leave.
  • Wellness and employee assistance programs.
  • Home office, phone, internet, commuter, and tuition reimbursement benefits, plus LinkedIn Learning access.
  • Equity and paid volunteering time off.

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