MaintainX
Technology
SeniorAppliedScientist,PartsIntelligence&InventoryOptimization
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied Scientist, Parts Intelligence & Inventory Optimization at MaintainX. Skills: Parts Intelligence, Inventory Optimization, Applied Science, Machine Learning. Own the intelligence layer behind our Parts Agent. Iterate data-driven systems with real users”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
undergraduate degree minimum, Track record of iterating data-driven systems, Product mindset and delivery orientation, Comfort with ambiguity, SQL proficiency, 5+ years experience
Nice to Have
PhD preferred, Experience at a known product company, Exposure to learning-augmented optimization, Domain experience in MRO inventory, Tech-lead experience
What You'll Do.
Own the intelligence layer behind our Parts Agent
Iterate data-driven systems with real users
Redesign approach in response to model rejection
Care about the operator outcome
Co-design the data model
Co-design the feature schema
How You'll Work.
Team & Collaboration
Cross-functional teams
Full Job Description
MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. We're looking for a Senior Applied Scientist to own the intelligence layer behind our Parts Agent — one of the most strategic bets on our Inventory strong undergraduate foundation at minimum. Track record of iterating data-driven systems with real users — you've felt what happens when a model recommendation gets rejected and you've redesigned the approach in response. Product mindset and delivery orientation: you ship, you measure, you iterate. You care about the operator outcome, not just the metric. Comfort with ambiguity. You can co-design the data model and feature schema with the team rather than waiting for a clean spec. Familiarity with GenAI tooling (LLM tool calling, structured output, prompt design for constrained generation) is expected. Nice to have Experience at a known product company shipping inventory management, supply chain, or procurement optimization at scale. Exposure to learning-augmented optimization — using historical purchasing or consumption data to estimate lead times, priors, or constraint weights. Domain experience in MRO (Maintenance, Repair & Operations) inventory, spare parts management, field service logistics, or manufacturing supply chains. Tech-lead experience or interest in growing into a tech-lead role on this team. What's in it for you Competitive salary and meaningful equity opportunities. Healthcare, dental, and vision coverage. 401(k) / RRSP enrollment program. Take what you need PTO. A work culture where you'll work alongside folks across the globe that r
Applying for this Senior Applied Scientist, Parts Intelligence & Inventory Optimization role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about MaintainX?
Real rants from real employees. Read before you apply.