AutoScheduler.AI launched a warehouse orchestration platform in August 2020 to assist IT teams in performing advanced warehouse planning with predictive decision-making and prescriptive analytics.

We help warehouses improve their efficiency by applying algorithms to their processes to determine when, what, and how to receive, move, and dispatch stock. We have a host of high-profile clients such as Procter & Gamble and others.

Though based in Austin, TX, we have teams distributed across the US, Argentina, Colombia, etc

Currently, we are seeking a Senior Data Solution Architect with experience of Warehouse Management Systems (WMS) to build a small team responsible for managing the flow of our critical resource, data, between customer systems and the AutoScheduler cloud. Data provided to AutoScheduler is commonly sent from a WMS and results returned to a WMS for execution, AutoScheduler remains WMS agnostic and as most customers heavily-customize their WMS implementation each data pipeline starts and ends at a slightly different place. Working with customers and third-party integrators, the ETL/WMS manager will map WMS data and processes to the AutoScheduler standard API and, where necessary, deploy middleware to enable customization.

The responsibilities include:

● Create and lead a small team to support data pipelines between customers and AutoScheduler.

● Be a subject matter expert on: the AutoScheduler data model and external API endpoints. The internal data structure for at least one major WMS system.

● Assist customers and 3 rd party integrators to map data between customer WMS and AutoScheduler data models.

● Manage the evolution of external API data structures to continuously improve performance and support new features.

● Develop and manage middleware to support necessary customization by customer/site that cannot be otherwise managed.

● Ongoing process improvement to simplify, speed up and increase reliability for the data transfer processes.

Valuable background and abilities

● Experience leading a small team.

● Strong customer service orientation and passion to work through obstacles to produce results.

● Adept at working in a collaborative, project-based, and remote-first, team environment.

Required Experience:

● 5+years developing, integrating and supporting warehouse management systems (WMS).

● 5+ years supporting data pipelines and middleware.

English Level

Advance. Fully fluent. Fluency in computing-related technical is required.

Type of work:

100 % Remote. Location is unimportant, but your standard working day must overlap at least 5 hours with 8:00 am – 5:00 pm (US) Central Standard Time.

Team:

You will report to the CTO. create and lead a small team to support data pipelines.

Hiring process: 

● Talk with Marina, Connector Pitcheers 

● Technical Interview

● Talk to Autoscheduler team

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(Disponible también en español)



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