Intelligent Systems Engineer

Mission — Why This Role Exists

We’re scaling ICEYE’s global operations. To do that, we need engineers who can simplify complex processes and build systems that improve how work gets done. This role exists to automate and structure the critical workflows that move customer contracts through to delivery, and to prepare our operations for the use of machine learning where it adds real value.

Expected Outcomes

• Key operational processes (lead to cash) are automated, integrated, and consistently reliable
• Manual interventions and workarounds are reduced through better structure, validation, and logic
• Cross-functional teams (Ops, Product, Finance) have better visibility and fewer blockers
• Real-time metrics, exceptions, and trends are surfaced early and acted on quickly
• The groundwork is in place for introducing learning-based systems where they help most

Responsibilities

1. Streamline and Orchestrate Workflows

• Streamline and accelerate lead-to-order-to-cash operations by designing modular workflow automations that support team-driven orchestration across systems
• Reduce manual steps by embedding logic into how tasks flow between tools, teams, and data
• Ensure workflows are stable, trackable, and responsive to operational events

2. Add Intelligence Where It Matters

• Work with other teams to bring scoring, prioritization, and exception logic into workflows
• Create dashboards and alerting that help operators see issues and patterns early
• Structure and log key decisions to support future learning and process improvements

3. Prepare for AI Systems

• Help lay the technical foundation for operations assistants that handle routine tasks, detect issues, and support operators
• Design data flows and capture feedback that will enable AI-based features over time
• Make sure anything “intelligent” is traceable, supportable, and aligned with ICEYE’s standards

4. Work Across Teams

• Collaborate with Ops, Product, Engineering, and Finance to understand pain points and priorities
• Build tools that work well with existing platforms and are easy to operate and maintain
• Focus on clarity, reliability, and real-world usability in everything you delivery

What Makes You a Strong Fit

Must-Have

• Experience building workflow automations or service integrations for business operations
• Hands-on work with tools like Salesforce, JIRA, NetSuite, Slack, or internal systems via APIs
• Proficiency in Python and/or TypeScript (React or FastAPI experience is useful)
• Familiarity with GenAI tools (OpenAI APIs, LangChain, FAISS, Pinecone)
• Able to design structured logic from semi-structured or human-driven processes
• Know how to monitor and improve systems after launch
• Experience building logs, metrics, or audit trails that support better operations over time
• Strong communication skills with both technical and non-technical colleagues
• Able to take vague goals and turn them into working, maintainable solutions

Nice-to-Have

• Exposure to ML workflows, including model deployment or data prep
• Background in operations-heavy fields like logistics, aerospace, or defense
• Familiarity with satellite operations, tasking, or quality control

Tech Stack Snapshot

Workflow & Integrations

• Python, Go, FastAPI, Flask
• PostgreSQL, Redis, REST APIs
• JIRA, Holistics, Databricks , Slack, Confluence, Workato, Salesforce, NetSuite, 
• Internal systems and service APIs

Infrastructure & Monitoring

• Docker, Kubernetes (GCP or AWS)
• GitHub Actions, Datadog, Sentry

Machine Learning & Intelligence

• scikit-learn, XGBoost, PyTorch
• Airflow, Prefect
• LangChain, OpenAI APIs, FAISS, Pinecone

Internal Tools

• React, TypeScript, TailwindCSS

Employment is subject to applicable security screening (incl. SUPO, where required)