Product Engineer – AI Factory Insights & UI

Greentown; Boston (MA); On-site; USD 87,000 - 139,000; Full time

Benefits offered by this job

Equity

Medical/Dental/Vision

401k matching

Greentown Labs network

Transportation benefit

Job summary

Laminar is seeking frontend engineers to join our Boston office. You will work across the stack to build user-friendly products that expose ML-driven plant insights in real time.

You'll collaborate with data science, backend and forward deployed engineers to deliver features that are scalable, observable, and intuitive for plant operators and managers. A strong frontend background and clear communication are essential.

Qualifications

• 1–4 years of experience building customer-facing products.
• Strong proficiency in React/TypeScript and modern frontend tooling.
• Familiarity with Python for data visualizations.
• Strong UX sensibilities and desire to ship performant, intuitive features.
• Excellent communication and collaboration in a Boston in‑person office.

Responsibilities

• Collaborate with data science, backend, and forward deployed teams to prototype and productionize Insights solutions.
• Work with different customer profiles to build Insights functionalities and ensure end-to-end delivery.
• Identify friction points and build internal products that help FDEs move quickly.
• Deliver polished UI components that improve interpretability of ML models and observability of processes.
• Write clean, efficient, and well-documented code.
• Improve application performance by adopting latest frontend innovations and optimizing SQL/backend calls.

Skills

React/TypeScript

Frontend tooling

Python for data visualizations

UX sensibilities

Communication

Tools

SQL

REST APIs

Git

Job description

Laminar is seeking frontend engineers to join our Boston office. You will work across the stack to build user-friendly products that expose ML-driven plant insights in real time.

You'll collaborate with data science, backend and forward deployed engineers to deliver features that are scalable, observable, and intuitive for plant operators and managers. A strong frontend background and clear communication are essential.