Engineering Manager, Applied Analytics (Geospatial AI)

Location: Remote in the United States; Carlsbad, California, United States

Salary: $200,000–$225,000 per year

Company

hirify.global is a space and data analytics company building an Earth Observation constellation and software based on high-resolution thermal infrared imagery for environmental, food and water security, national security, and other critical applications.

What you will do

• Lead, mentor, and grow a newly forming team of 3–5 software engineers and applied analytics developers.
• Remain hands-on in architecture, prototyping, implementation, code reviews, and delivery of analytics products.
• Define the Applied Analytics technical roadmap with Product, Science, and Engineering leadership.
• Build analytics pipelines, machine learning and statistical solutions, APIs, visualizations, and decision-support tools using thermal infrared and other Earth observation data.
• Partner with product managers, scientists, customers, and external stakeholders to translate operational requirements into scalable software and validate capabilities through prototypes, demonstrations, and field evaluations.
• Own delivery from concept through deployment, monitoring, and continuous improvement while establishing engineering practices and supporting hiring.

Requirements

• US citizenship or permanent-resident eligibility is required; the position is limited to US citizens for federal contract eligibility, and requires a US Person under ITAR.
• 5+ years of professional geospatial software engineering or data science experience, including production data products or analytics.
• 2+ years of engineering leadership, technical lead, or people management experience.
• Experience managing and mentoring software engineers while remaining hands-on technically.
• Strong Python expertise and experience building scalable cloud-native software systems.
• Strong expertise with geospatial data, remote sensing products, satellite imagery, and Earth observation analytics.
• Experience designing and operating data pipelines, analytics platforms, APIs, and customer-facing software products.
• Experience deploying machine learning, statistical, or analytical models into production.
• Experience with AWS, Docker, and modern cloud-native development practices.
• Experience collaborating with product managers, scientists, and external stakeholders; excellent communication skills for technical and non-technical audiences.
• Ability to work in a fast-paced startup environment while balancing technical leadership and execution.

Culture & Benefits

• Dynamic, collaborative startup environment focused on technical excellence, ownership, and customer outcomes.
• Remote work arrangement.
• Employee options, medical, vision, and dental insurance.
• Flexible time off and maternity, paternity, and parental leave.
• 401(k) matching.