Associate Software Engineer, Point

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 1+ years of professional software engineering experience, including internships or co-op experience, writing object-oriented code in a production, coursework, or open-source setting
• Foundational grasp of object-oriented design — classes, interfaces, encapsulation, and inheritance versus composition — in at least one object-oriented language such as TypeScript, Python, Ruby, Java, or C#
• Working understanding of data structures and data modeling, and the ability to break a problem into well-named objects, methods, and responsibilities
• Some exposure to building or consuming APIs and to working with a relational database
• Familiarity with unit testing, including stubbing or mocking dependencies, and a willingness to build that skill quickly
• Exposure to customer-facing applications through coursework, internships, side projects, or early professional work
• Ability to communicate clearly with teammates and ask questions when product or design requirements are ambiguous
• Comfortable working in a fast-paced environment, balancing quality and speed while learning under guidance
• Collaborative team player who actively seeks out feedback and mentorship and acts on it

Desirable

• We’re seeking a Software Engineer (IC1) to join our team and help support and grow Point’s multi-product digital platform. In this role, you’ll work under the guidance of senior engineers and alongside product partners on the Customer Operations pillar, building smaller features within a defined product area that help our Sales and Customer Experience teams deliver faster, smarter, and more personalized experiences for our customers
• This is an entry point into production engineering. You’ll learn how our systems fit together, how features move from design review to release, and how emerging technologies—such as AI-assisted workflows—are applied in real production environments under responsible data and privacy guidelines. This role is ideal for an early-career engineer who is eager to learn, receptive to feedback, comfortable in a fast-paced environment, and inclined to over-communicate rather than go quiet
• Build and ship smaller, well-scoped features within an established codebase, with guidance from senior engineers
• Write and test code against the acceptance criteria of your assigned tasks, including unit tests for both positive and negative conditions
• Submit clear, reviewable PRs; review teammates’ code and use feedback on your own PRs as a key resource for technical growth
• Work with senior engineers to design solutions for assigned tasks and discuss the tradeoffs of different approaches
• Participate in sprint planning, grooming, retrospectives, and technical design reviews with a view toward learning best practices
• Communicate progress, risks, and blockers early and often to your team and cross-functional partners — err on the side of over-communication
• Learn how AI- and data-powered components are used in production systems while following responsible data and privacy guidelines
• Write clearly in both informal (Slack, email) and formal (Jira tickets, commit messages, PR descriptions) media
• Follow team standards for testing, documentation, monitoring, and operational readiness, and make minor refactors to keep the code you touch clean and clear
• Estimate your own tasks, seek out mentorship, and work with product managers to understand the business impact of technical decisions