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Accelerating the source-to-award process to transform procurement

Machine Learning Team Lead

$120k – $180k • 0.01% – 0.5%
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About Fairmarkit

We're a Boston-based startup backed by leading venture capitalists re-envisioning how companies make purchasing decisions. Organizations ranging from the MBTA to ServiceNow trust us to guide their purchasing.

Fairmarkit’s mission is to revolutionize procurement, starting with how tail spend is handled. Tail spend is 20% of the total spend that organizations direct to non-strategic purchases, but which comprises upwards of 80% of its transaction volume -- processes which are labor-intensive, inefficient and result in subpar financial outcomes. Fairmarkit is a groundbreaking SaaS platform that automates visibility into and control of all tail spend processes. In addition to efficiency and visibility improvements, with Fairmarkit’s unique procurement automation solution, our customers reduce their tail spend by 15%+.

We just raised our series A for 11m, we're growing incredibly quickly and are looking for the next amazing members of our team. We love our work and you should, too. Join us to be part of an amazing group of people who are transforming how buying decisions are made!


Our core:
Front-end: TypeScript/Angular2+, SASS, Webpack.
Back-end/data: Python 3, PostgreSQL, Django, Celery.
Across our stack: Docker, Kubernetes or Docker Swarm.

Examples of experience and interests we’d love to see in candidates:
Experience with recommendation systems leveraging structured and unstructured data, metadata from business processes and systems, alternative data, etc. We are curious and open to exploring how to use data we already have, as well as identifying data we don’t have but should be using.

Experience designing, building, deploying, maintaining, and iterating on enterprise software -- but with a user-centric sensibility that would be at home in a consumer app.

Experience collaborating across Product, Engineering, Research, Sales, and Ops teams to deliver on a variety of objectives, from defining experiments and tests, iterating on data analysis processes during our sales process, to helping build dashboards for monitoring operations activity. We are data-driven and proactive across the company and want to share expertise and knowledge with every team.

Excitement about building a core element of Fairmarkit’s business differentiator: our recommendations help customers leverage their own data more effectively -- reducing risk and noncompliance while saving time and money

Marketplace experience: you’ve been exposed to multi-sided marketplaces and can design experiments to optimize for different use cases. You’re excited about finding previously-unexplored areas

This Company is an equal opportunity employer, and selects individuals best matched for the job based upon job-related qualifications regardless of race, religion, color, creed, sex, sexual orientation, age, ancestry, national origin, gender identity, genetic information, disability, pregnancy, veteran or military status or any other status or characteristic protected by law.

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