5+ years of professional geospatial software engineering or data science experience.
2+ years of engineering leadership or people management experience.
Strong expertise in Python and cloud-native software systems.
Experience with geospatial data and Earth observation analytics.
Proficient in designing data pipelines and customer-facing software products.
Excellent communication skills for diverse audiences.
Responsibilities
Lead and mentor a team of 3-5 software engineers, promoting technical excellence and customer focus.
Contribute hands-on to the design and development of analytics products, including architecture and code reviews.
Define the technical roadmap in collaboration with Product, Science, and Engineering leadership.
Develop analytics products leveraging thermal infrared and Earth observation datasets.
Guide the creation of machine learning and statistical solutions for customer applications.
Oversee data processing pipelines for satellite observations across various platforms.
Collaborate with product managers to translate operational needs into scalable software solutions.
Benefits
Employee options
Health insurance: Medical, Vision, Dental
Flexible time off
Maternity, Paternity & Parental Leave
401K Matching
Full Job Description
As Engineering Manager, Applied Analytics, you will lead the newly forming Applied Analytics team of 3-5 software engineers responsible for developing analytics products, mission applications, and customer solutions derived from Hydrosat's thermal infrared and multispectral data. This will be a highly hands-on leadership role requiring a balance of technical leadership and people management, with direct technical contribution. You will lead the development of capabilities for applications such as industrial monitoring, wildfire detection, thermal inertia analysis, and other emerging use cases. Working across the full product lifecycle, you and your team will build analytics pipelines, machine learning models, APIs, visualizations, and user workflows that enable customers to operationalize Hydrosat data. The ideal candidate is equally comfortable leading engineers, engaging with customers, defining technical strategy, and contributing code when needed.
Responsibilities
Lead, mentor, and grow a team of 3-5 software engineers and applied analytics developers, fostering a culture of technical excellence, ownership, and customer focus.
Remain hands-on in the design, development, and delivery of analytics products, contributing directly to architecture, prototyping, implementation, and code reviews.
Define the technical roadmap for the Applied Analytics team in partnership with Product, Science, and Engineering leadership.
Develop analytics products and decision-support capabilities that leverage thermal infrared observations and other Earth observation datasets.
Guide the development of machine learning, statistical, and physics-informed solutions for customer applications and emerging product opportunities.
Oversee the development of data processing pipelines that ingest, analyze, and productize satellite observations across multiple platforms, temporal observations and geographic regions .
Partner closely with product managers and customer stakeholders to translate operational requirements into scalable software solutions.
Lead rapid prototyping efforts and proof-of-concept demonstrations for commercial and government customers.
Support customer engagements, technical presentations, and field evaluations to validate capabilities and gather product feedback.
Drive the development of geospatial APIs, customer-facing applications, and decision-support tools.
Collaborate closely with the Image Processing and Platform Engineering teams to improve data quality and operational performance.
Own project execution from concept through deployment, monitoring, and continuous improvement, ensuring successful delivery against business and customer objectives.
Establish engineering best practices and processes.
Help recruit, interview, and onboard top engineering talent as the Applied Analytics group grows.
US Citizen or Permanent Resident.
5+ years of professional geospatial software engineering or data science experience, including experience building production data products or analytics.
2+ years of engineering leadership, technical lead, or people management experience.
Demonstrated experience managing and mentoring software engineers while maintaining hands-on technical involvement.
Strong expertise in Python and experience building scalable cloud-native software systems.
Strong expertise working 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 developing and deploying machine learning, statistical, or analytical models into production environments.
Experience with AWS, Docker, and modern cloud-native software development practices.
Experience collaborating with product managers, scientists, and external stakeholders to define and deliver technical solutions.
Excellent communication skills and the ability to explain technical concepts to both technical and non-technical audiences.
Ability to thrive in a fast-paced startup environment and balance technical leadership with execution.
