Head of Software

At Mantari Industries, we’re replacing yesterday’s public sector weather systems with a full stack, AI-native platform that senses, models, and predicts Earth’s atmosphere and oceans in near real time. Our mission is to sense Earth in its entirety — oceans, skies, and space — and close the gap between what nature does and what humanity knows. By building a distributed network of sensors fused with breakthrough AI, Mantari transforms raw environmental signals into actionable intelligence so that the world’s most critical outcomes, from global trade and securing grids to defending nations, are guided not by uncertainty, but by foresight.

Our autonomous edge sensing fleets, deep learning forecast models, and integrated customer decision engines will create the most precise weather intelligence on the planet—empowering industry, strengthening climate resilience, providing vital intelligence to American warfighters, and opening billion-dollar markets that don’t exist yet.

Backed by premier venture capital and led by engineers and scientists who’ve landed rockets and pioneered novel AI forecast techniques, we move fast, own the hard problems end to end, and measure success in real world impact. If you want to build frontier tech with outsized consequences, welcome aboard.

The Head of Software will own the architecture and implementation of Mantari’s full-stack weather intelligence platform — the software backbone that powers sensing, data assimilation, forecasting, analytics, and decision delivery.

You’ll design and lead the buildout of the core platform that ingests global sensor data, runs large-scale model training and inference, manages distributed compute pipelines, and serves forecast and analytic products to customers via APIs and integrated applications. This is a systems leadership role: you’ll define the architecture, hire and mentor the engineering team, and ensure the platform meets Mantari’s demanding standards for scale, resilience, latency, and security.

You’ll partner closely with the Head of Weather (who owns forecasting science), and Growth team and Forward Deployed Engineers (who integrate customer systems). Your job: turn the full-stack vision into code and build the infrastructure of foresight.

• Architect Mantari’s end-to-end platform
  , spanning:
  • Sensor platform autonomy and edge compute
  • Sensor data ingestion and transformation
  • Data assimilation and model runtime orchestration
  • Scalable model training and distributed inference
  • API services and analytics layers
  • Secure multi-tenant customer delivery
• Lead software design for modular, cloud-native, and high-availability systems (microservices, container orchestration, data streaming)
• Define the platform runtime – how models (physics-based, hybrid, AI) are deployed, scheduled, and versioned. Verification/validation for customers is critical!
• Build developer velocity with best-in-class CI/CD, observability, and deployment pipelines
• Own cloud infrastructure (GCP/AWS/Azure), including cost optimization, GPU fleet management, and multi-region scaling
• Establish data platform foundations (storage, ETL, metadata, lineage, reanalysis)
• Collaborate with ML and atmospheric science teams to align software design with model and data needs
• Set technical standards across codebase, security, APIs, and reliability
• Recruit, mentor, and scale Mantari’s software engineering team

• BS/MS/PhD in Computer Science, Software Engineering, or related technical field
• 8+ years in software architecture and systems engineering
• Proven experience designing and operating large-scale, cloud-native platforms (multi-service, distributed, high-throughput)
• Deep expertise in:
  • Cloud infrastructure (GCP, AWS, or Azure)
  • Container orchestration (Kubernetes, Nomad, Slurm)
  • Data streaming and pipelines (Kafka, Beam, Ray, Spark)
  • Microservice design, API gateways, and backend architecture
• Strong foundation in Dev Ops: CI/CD, infrastructure as code, monitoring, and observability
• Experience supporting ML/AI pipelines (training, inference, versioning) at scale
• Track record of leading teams delivering production-critical platforms

• Background building…