Open Positions

Omen is building the prediction platform for smarter industrial machines—enabling them to monitor and maintain themselves across the world’s most critical fleets. We’ve developed novel sensing technologies alongside powerful models and predictive algorithms.

• Customers on Day 1: We’re deployed in the field with multiple Fortune 500 customers
• Tech Stack Meets Real World: Sensor data, edge computing, cloud pipelines, ML, and mobile apps.
• Shape the Product: You’ll be hands-on with the most important parts of our system: the data, the infrastructure, and the UX.

• End-to-end backend systems that power predictive diagnostics and field insights.
• APIs that serve real-time and historical data to web/mobile platforms.
• Scalable data pipelines to process high-frequency time series from sensor arrays.
• Integrations with third-party platforms and internal tools to streamline operations.
• Robust DevOps, observability, and deployment systems as we scale.

• Have 5+ years of backend or full-stack development experience.
• Are fluent in modern backend languages (Node.js, Python, Go, etc.).
• Know your way around both relational (Postgres) and non-relational databases.
• Have built APIs, handled scale, and thought hard about data modeling.
• Are excited by hardware/software systems and working with physical-world data.

• Full Ownership: Design and build foundational backend systems from scratch.
• Deep Tech Stack: From the silicon to the cloud—you’ll touch all layers.
• Visibility & Access: Work directly with founders, customers, and real field data.
• Equity & Growth: Competitive compensation and meaningful equity upside.

• Deployed ML models to production.
• Worked with sensor or time-series data.Built internal tools for field ops or customer success teams.
• Worked at an early-stage startup or brought a hardware product to market.
• Tinkered with edge devices, microcontrollers, orembedded Linux.

Omen is building the prediction platform for smarter industrial machines—enabling them to monitor and maintain themselves across the world’s most critical fleets. We’ve developed novel sensing technologies alongside powerful models and predictive algorithms. You’ll work hands-on with our sensing platform, design bench tests, build mock datasets, and support the models that turn raw spectra into machine-saving insights.

• Lab Meets Field: We’ve deployed sensors in billion-dollar industrial customers. Now we're scaling.
• Hard Problems, Real Impact: Sensor fusion, real-world fluid systems, spectral data—all in service of predicting failure before it happens.
• Invent the Standard: You’ll be the first dedicated scientist at Omen, building the calibration, testing, and data foundations that power everything else.

• Lead sensor calibration efforts to ensure field accuracy and repeatability
• Design and run bench top tests to validate spectral signals and develop sensor response curves
• Build synthetic datasets to train early ML models and test edge detection systems
• Develop and refine lab protocols for repeatable, scalable experimentation
• Work closely with software and ML engineers to translate physical measurements into predictive insights
• Train and onboard field engineers and partners on sensor usage and calibration workflows

• Have a degree and work experience in a STEM field (Chemistry, Physics, Materials Science, etc.)
• Are comfortable in the lab—designing experiments, running tests, and validating results in the field
• Have experience calibrating optical sensor systems
• Love the edge of hardware/software and want your work to make it into the real world
• Think like a scientist and move like an engineer

• Real Ownership: Your experiments will directly influence our core models and product performance
• Field-Tested Impact: Your work will show up on machines in the wild—from construction fleets to combat support vehicles
• Curiosity-Driven Culture: We encourage ideas, odd questions, and new approaches—especially from the lab
• Equity & Compensation: Competitive pay and meaningful ownership from day one

• Designed tests or experiments for fluid analysis (e.g., oil, fuel, DEF, etc.)
• Developed data acquisition tools or signal processing software (Python preferred)
• Supported hardware development and embedded systems in industry
• Generated datasets for ML/data teams