---
title: 'Senior Applied Scientist, Parts Intelligence & Inventory Optimization at MaintainX'
canonical: 'https://feeny.ai/job/senior-applied-scientist-parts-intelligence-inventory-optimization-maintainx-het6pfjww3ef'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Applied Scientist, Parts Intelligence & Inventory Optimization at MaintainX

- **Company:** [MaintainX](https://feeny.ai/companies/maintainx)
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/maintainx/1c128536-9381-4f7e-90d4-40b69c586059

## Job description

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders.

In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions https://adsknews.autodesk.com/en/views/inside-autodesk-operations-solutions/, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours.

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 & EAM roadmap. The agent sits on top of a multi-layer parts data model (PartMaster, StockRecord, PhysicalInstance) and is responsible for answering hard inventory questions: when to reorder, how to optimize stock levels across sites, which parts are at risk of stockout, and how to reconcile messy supplier catalogs into a clean parts master. Your focus will be building the decision models, optimization routines, and AI-powered tools that make those answers trustworthy enough for enterprise maintenance teams to act on. This is a high-ownership role. You'll shape the modeling approach, partner closely with product and design on what inventory managers actually need, and ship iteratively against feedback from real enterprise customers.

## What you'll do

- Own and evolve the optimization and ML models that power Parts Agent capabilities: reorder point prediction, economic order quantity, multi-site stock balancing, and demand forecasting.
- Design and implement increasingly sophisticated inventory intelligence: vendor lead time modeling, criticality-weighted safety stock, substitution graph traversal, and proactive stockout alerting.
- Build and maintain APIs and tools that expose these models to GenAI agent workflows (tool calling, structured input/output), enabling the Parts Agent to take grounded, explainable actions.
- Partner with PM and design to translate messy real-world inventory problems into tractable models, and push back when "optimal" isn't what operators actually want.
- Iterate with real users via design partnerships and pilot deployments. Take feedback from parts managers and procurement teams seriously and reflect it back into the model.
- Contribute to the surrounding Python service: performance, observability, testing, and reliability of the inventory intelligence runtime.
- Help shape how parts intelligence integrates with the broader MaintainX product over time, including learning from historical usage and purchasing data to continuously improve model inputs.

## About you

- 5+ years of professional software engineering or data science experience, with significant time spent on optimization, forecasting, or ML systems shipped to real users.
- Strong fluency with at least one optimization paradigm (LP/MILP, stochastic programming, simulation) and practical experience with demand forecasting or inventory management models.
- Solid Python service engineering: APIs, async, testing, profiling, observability. You can own a production service end-to-end.
- Academic grounding in Operations Research, Industrial Engineering, Supply Chain, Statistics, or a related quantitative field; 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.

Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk’s benefits are described at benefits.autodesk.com http://benefits.autodesk.com. For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it.

Belonging. We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging http://autodesk.com/company/global-belonging. More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

## About MaintainX

## Company Overview
- **One-liner**: AI-powered maintenance and asset management platform for frontline teams.
- **Entity Type**: Private (pending acquisition by Autodesk)
- **Headquarters**: San Francisco, CA, USA
- **Founded**: Not publicly available
- **Founders**: Chris Turlica (CEO) and Hugo Dozois-Caouette (CTO) – [getmaintainx.com](https://www.getmaintainx.com/about)

## Core Business
- **Primary industries**: Industrial maintenance software (CMMS / EAM), serving manufacturing, facilities management, hospitality, and other asset-heavy sectors.
- **Target customers**: B2B, mid-market to enterprise, focused on deskless frontline workers.
- **Mission**: “Deliver one platform for maintenance, repair, and operations to keep the physical world running.” – [getmaintainx.com](https://www.getmaintainx.com/careers)

## Products & Services
- **MaintainX Platform (CMMS + AI)**: A mobile-first, AI-powered solution covering work order management, preventive & predictive maintenance, parts inventory, safety/compliance checklists, and natural‑language reporting. Integrates with existing ERP/MES systems and is SOC 2 Type II / ISO 27001 certified. – [getmaintainx.com](https://www.getmaintainx.com/)

## Market Standing
- **Valuation**: $2.5 billion (as of Series D, 2025) – [greatplacetowork.com](https://www.greatplacetowork.com/en/certified-company/7047500)
- **Total Funding**: $254 million (including $150 M Series D) – same source
- **Key Metric**: Over 14,000 companies use MaintainX – [getmaintainx.com](https://www.getmaintainx.com/)
- **Notable Investors/Partners**: Not specified in provided sources; the company is under a definitive agreement to be acquired by Autodesk.
- **Growth Signals**: Acquisition by Autodesk; Great Place To Work‑certified; recognized as a leader in CMMS; rapid scaling with 227 U.S. employees.

## Competitive Advantages
- **AI‑native platform** built specifically for deskless workers, with predictive maintenance and anomaly detection.
- **Ease of use** replacing paper‑based workflows; rapid implementation (200 sites in 9 weeks).
- **Enterprise security certifications** (SOC 2, ISO 27001) and integration with major systems.
- **Strong employee culture** – 94% employee approval rating for CEO, 91 RepVue score (top 5% of sales orgs). – [greatplacetowork.com](https://www.greatplacetowork.com/en/certified-company/7047500), [getmaintainx.com](https://www.getmaintainx.com/careers)

## Strategic Focus
- Integration with Autodesk’s “design, make, operate” ecosystem to expand from maintenance into broader operational workflows.
- Continued investment in AI capabilities for frontline teams.
- Scaling globally with a hybrid workforce and high‑trust culture.

## Why Work Here
- **Culture**: “High‑growth, high‑trust” – flat, lean, humble team; values include “Collaboration over Ego” and “Excellence is our Standard.” – [getmaintainx.com](https://www.getmaintainx.com/careers)
- **Work policy**: Hybrid (flexibility to move fast with autonomy), unlimited time off.
- **Compensation**: Competitive pay, meaningful equity, performance bonuses.
- **Perks**: Catered lunches, off‑sites, hackathons, L&D budget, comprehensive health & wellness, parental support.
- **Glassdoor rating**: 4.2 / 5.0; 80% would recommend to a friend; 94% approve of CEO Chris Turlica. – [glassdoor.com](https://www.glassdoor.com/Reviews/MaintainX-Reviews-E3136296.htm)
- **Top‑rated**: #25 Fortune Best Workplaces in the Bay Area (Small & Medium) for 2026. – [greatplacetowork.com](https://www.greatplacetowork.com/en/certified-company/7047500)

## Sources
1. [getmaintainx.com – About](https://www.getmaintainx.com/about)
2. [getmaintainx.com – Careers](https://www.getmaintainx.com/careers)
3. [getmaintainx.com – Product](https://www.getmaintainx.com/)
4. [greatplacetowork.com – MaintainX profile](https://www.greatplacetowork.com/en/certified-company/7047500)
5. [glassdoor.com – MaintainX reviews](https://www.glassdoor.com/Reviews/MaintainX-Reviews-E3136296.htm)

## Other roles at MaintainX

- [Applied AI Engineer](https://feeny.ai/job/applied-ai-engineer-maintainx-san-francisco-qdq8pd728ahj) — San Francisco, CA
- [Manager, Mid-Market Account Executive Team](https://feeny.ai/job/manager-mid-market-account-executive-team-maintainx-united-states-c7xr62nzeskw) — United States
- [Full-Stack Developer - IAM](https://feeny.ai/job/full-stack-developer-iam-maintainx-san-francisco-tscym7bmq6jn) — San Francisco, CA
- [Manager, Emerging Account Management](https://feeny.ai/job/manager-emerging-account-management-maintainx-united-states-7ng0ga44b3qx) — United States
- [Manager, Emerging Account Management](https://feeny.ai/job/manager-emerging-account-management-maintainx-canada-thwrwtyxegr9) — Canada
- [Senior Software Developer, Search](https://feeny.ai/job/senior-software-developer-search-maintainx-san-francisco-5cv8hhx9cywb) — San Francisco, CA
- [Senior Software Developer, Search](https://feeny.ai/job/senior-software-developer-search-maintainx-toronto-r7rzj4c36rrd) — Toronto, Canada
- [Développeur en infrastructure – ingénierie de plateforme](https://feeny.ai/job/developpeur-en-infrastructure-ingenierie-de-plateforme-maintainx-montreal-1vcz13xr130h) — Montréal, Canada
- [Director of Platform Engineering](https://feeny.ai/job/director-of-platform-engineering-maintainx-san-francisco-m4fr28fkgmhv) — San Francisco, CA
- [Staff Data Engineer](https://feeny.ai/job/staff-data-engineer-maintainx-san-francisco-n63bq7z1zghp) — San Francisco, CA