About Alloy.ai
At Alloy.ai, we work with consumer goods companies that make the products we eat, wear, and use every day, as well as the ones we occasionally splurge on. We’re tackling a real and complex problem for them—managing supply and demand in the face of constantly changing customer behavior, highly complex supply chain networks, 40-year-old data standards and labor-intensive manual processes.
Alloy.ai is a fast-growing, well-funded startup with an expanding presence across the world. Our team hails from successful startups, leading tech companies and Fortune 100 enterprises. We believe deeply in fostering individual ownership, iterating to excellence, focusing on what matters, communicating openly & respectfully, and supporting one another.
We encourage people of all backgrounds to apply. Alloy.ai is committed to creating an inclusive culture, and we celebrate diversity of all kinds.
About The Role
Our network-based data platform is one of Alloy.ai’s core strategic assets. When we work with manufacturers, we are able to quickly integrate disparate information shared by their trading partners, including retailers, material suppliers, distributors and logistics providers, and we can do that up to an order of magnitude faster than other solutions. Most of our integration infrastructure is fully reusable, and connections to common trading partners are maintained across multiple Alloy customers.
This team is in charge of deploying and maintaining data for customers, ensuring integration best practices are adhered to, and working closely with customers, Success Managers, Engineering, and Product
About You
In this role, you’ll be a company expert in all things data integrations. Combining elements of design, data management and project management, you will support customers, during implementation and beyond, as a technical reference point; you will investigate many complex data issues, resolve them through a deep knowledge of our product, and help design solutions to ensure we overcome them in a scalable way.
What You Will Do
- Deploy retailer integrations for new and existing customers; implement our standard data feeds, but also learn how to design and build new retailer data sources and integrations.
- Collaborate with Client Solutions, Engineering, and Product to implement scalable data solutions to resolve recurring challenges and improve our overall implementation experience.
- Actively monitor Zendesk to ensure we close incoming customer requests within our standard response times while on your dedicated week of rotation.
- Investigate and resolve data pipeline issues, while ensuring data quality and consistency. Communicate technical details and business impacts directly to customers and escalate work through engineering teams as needed.
- Join new customer implementation kickoff calls and ad-hoc technical calls, as needed.
- Collaborate with the Implementation team and Account Managers to ensure successful onboarding of new customers, including running point on Technical Overview calls and Discovery calls as needed.
- Facilitate quality checks and provide UAT dashboards for integrations prior to customer sign off.
What We Are Looking For
- You can consistently work 9am to 5pm Pacific Time.
- You are adept at data analysis through programming (e.g. pandas, dplyr), database querying (SQL), or spreadsheets (Excel), and you are eager to learn more!You are comfortable reading and understanding basic Python.
- You have familiarity with basic ETL principles.
- You are intellectually curious, especially about data, and are constantly eager to find out how things work and how to fix them.
- You are organized, can effectively keep track of long to-do list in order to prioritize and deliver tasks on time. You leave no loose ends!
- You have experience communicating technical knowledge to both technical and non-technical audiences and value proactive communication.
- You take initiative, prioritize based on added value, and want to be part of creating a product that you can be proud of.A post-secondary degree in Computer Science or other quantitative field.
- At least one year of experience in a customer facing role with technical knowledge.
- Preferred but not required, experience with B2B software implementation lifecycle.
- Preferred but not required, familiarity with supply chain, logistics, and sales fundamentals including inventory planning and demand fulfillment.
Role is a hybrid role based in Vancouver, BC or Austin, TX or Denver, CO. Hybrid is defined by our company as 3+ days/week in the office when not on vacation. Remote employees will not be considered for this role.
