Full-Time

Senior Software Engineer

Backend

Confirmed live in the last 24 hours

Alloy AI

Alloy AI

51-200 employees

Supply chain and sales analytics platform

Data & Analytics
Enterprise Software
Consumer Goods

Senior

Washington, DC, USA

Hybrid role requires 3+ days/week in the office.

Category
Backend Engineering
Software Engineering
Required Skills
Kotlin
Microsoft Azure
Python
Data Structures & Algorithms
BigQuery
Java
Postgres
TypeScript
AWS
Scala
Databricks
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • A Bachelor’s degree in a quantitative discipline (e.g., computer science, statistics, mathematics) or a equivalent work experience.
  • 5+ years of industry experience in software engineering, with a focus on designing and building complex systems or query engines.
  • Proven experience with one or more of the following database and data warehouse technologies: PostgreSQL, BigQuery, Databricks, Snowflake, or similar technologies.
  • Strong proficiency in a JVM-based language (e.g., Java, Scala, Kotlin). Experience with Python or TypeScript is a plus.
  • A solid understanding of algorithms, data structures, and computational mathematics. Experience with designing efficient data processing systems is a big plus.
  • Experience with cloud platforms and distributed systems, and familiarity with the challenges of building scalable data systems in AWS, Google Cloud, or Azure environments.
  • You have experience or are interested in learning how the global supply chain works, from retail sales and inventory data to tracking of orders and shipments.
  • You have a genuine desire to help and work with other engineers via mentorship, pairing, and code reviews.
  • You are a clear communicator both verbally and written with a knack for translating technical details to non-technical audiences.
  • You have a “growth mindset” and tolerance for ambiguity; you don’t easily give up and always try to iterate to excellence.
  • You’re excited about researching and using a wide range of technologies, ultimately focused on finding the right tool for the job.
  • You care deeply about best practices for code quality, automation, and testing.
Responsibilities
  • Design, develop, and optimize Alloy.ai’s computation engine and data platform backend, enabling critical functionalities such as forecasting, simulations, recommendations, and real-time analytics.
  • Collaborate with engineers across teams to ensure our data platform’s query engine integrates seamlessly with other components and scales effectively.
  • Lead architectural design of complex software solutions, ensuring our platform stays efficient, robust, and scalable as we grow.
  • Work closely with the Product team to translate customer needs into highly performant, maintainable, and flexible solutions.
  • Mentor and guide junior engineers in best practices for software design, development, and system optimization.
  • Stay up-to-date with the latest developments in query engine technologies, databases, and cloud platforms, and bring new ideas and tools to the team.
  • Flex into other areas of application development based on our roadmap priorities.
  • Contribute to Alloy.ai’s R&D roadmap by bringing your ideas into our product development cycle.

Alloy.ai offers a platform designed for consumer goods brands to enhance their supply chain and sales operations. The platform provides real-time visibility into inventory and shipments, along with analytics that track sell-in and sell-through data, allowing businesses to respond quickly to demand changes. Unlike competitors, Alloy.ai focuses specifically on the consumer goods market and connects planning with execution through its control tower solution. The goal is to empower brands to manage their supply chains effectively and improve overall business performance.

Company Stage

Series A

Total Funding

$14.9M

Headquarters

San Francisco, California

Founded

2016

Growth & Insights
Headcount

6 month growth

4%

1 year growth

3%

2 year growth

-11%
Simplify Jobs

Simplify's Take

What believers are saying

  • Alloy.ai's partnerships with companies like WM Barr and Ember demonstrate its effectiveness in improving sales capabilities and forecast accuracy.
  • The company's subscription-based SaaS model ensures a steady stream of recurring revenue, which is financially attractive.
  • The launch of new features like the Demand and Inventory Control Tower and generative AI-powered assistant highlights Alloy.ai's commitment to continuous innovation.

What critics are saying

  • The competitive landscape in retail analytics and supply chain management is crowded, making it challenging for Alloy.ai to maintain its unique value proposition.
  • Dependence on subscription fees means that any economic downturn affecting consumer goods brands could impact Alloy.ai's revenue.

What makes Alloy AI unique

  • Alloy.ai offers a specialized platform tailored specifically for consumer goods brands, unlike broader supply chain solutions that serve multiple industries.
  • The platform's real-time data analytics for both sell-in and sell-through provides a unique end-to-end visibility that is crucial for proactive demand response.
  • Alloy.ai's integration of predictive and generative AI features sets it apart by enabling more accurate forecasting and inventory management.

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