Software Engineer (UpNext)

Scope
New York, NY
Hybrid

Who this role is best for

Aimed at mid-level to senior full-stack engineers who can work independently and contribute to product shaping.

Best fit for

  • Mid-level to senior full-stack engineers with AI coding experience and a strong grasp of data pipelines
    — “Build across the full stack, using AI coding agents to move faster and ship well-tested code regularly”
  • Candidates who can translate coach feedback into actionable software improvements
    — “Turn feedback from coaches and recruiting staff into improvements that make the product more useful”

Things to consider

  • The role demands active participation in weekly release cycles and QA processes
    — “Participate in UpNext's weekly release cycle, including code review and QA before changes reach coaches”
  • Candidates must be located in New York City or Charlotte for hybrid or remote options
    — “Based in New York City or Charlotte (open to Hybrid and Remote)”

How to stand out

  • Highlight experience with AI coding agents and LLM-powered features in your resume and interviews
    — “Hands-on experience using AI coding agents to accelerate development”
  • Showcase your ability to improve and extend existing production codebases
    — “Demonstrated ability to learn, extend, and improve an existing production codebase”
  • Emphasize your experience with TypeScript, Next.js/React, and Postgres (Supabase)
    — “Familiarity with TypeScript, Next.js/React, and Postgres (Supabase)”
  • Demonstrate your ability to communicate effectively with non-technical stakeholders
    — “Clear written and verbal communication, including working with founders and other non-engineering stakeholders”
  • Include examples of contributing to or building data pipelines or ETL processes
    — “Exposure to ETL or data pipelines is a plus”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build and ship the transfer portal intelligence platform
  • ship features across core platform surfaces
  • support UpNext's core data pipeline
Typical background
2-4 years of experience building and shipping production software

Skills & requirements

Required

Full-stack DevelopmentAI Coding AgentsData Pipeline ManagementTestingCode Review

Preferred

Llm-powered Features

Stack & domain

AI Coding AgentsData PipelineLlm-powered FeaturesAutomated WorkflowsCode ReviewTestingObservabilityDeploymentCollaborationLearningFeedback HandlingProblem-solvingCommunicationCollege AthleticsRecruitingTransfer Portal

About the role

Original posting from Scope via Ashby

UpNext / New York City or Charlotte (Hybrid or Remote)

Learn more

Visit our website at https://upnext.team

ROLE MISSION

As a Software Engineer at UpNext, you'll help build and ship the transfer portal intelligence platform used by college coaches nationwide to track transfer portal activity, build recruit lists, and evaluate roster needs. UpNext surfaces the signals that drive college athletics across every conference, every cycle, from portal activity and recruiting movement to agent representation and market trends. You'll write code every day, take features from idea to release, and grow quickly with hands-on guidance from UpNext's founder and engineering leadership. This is an early engineering hire with real ownership, and you'll help shape how UpNext's product is built as it scales.

CORE RESPONSIBILITIES

ENGINEERING & PRODUCT DELIVERY

  • Build across the full stack, using AI coding agents to move faster and ship well-tested code regularly
  • Ship features across core platform surfaces: Search, Smart Lists, Insights, Team Pages, Athlete Profiles, and the Activity Feed
  • Turn direction, prototypes, and coach feedback from the founder into scoped, polished, working software
  • Support UpNext's core data pipeline (NCAA transfer portal data, JUCO data, AI-resolved transfer destinations, and emerging high school data sources) and help keep the data accurate and complete
  • Help build and improve LLM-powered features and automated workflows

COLLABORATION & LEARNING

  • Work side by side with the founder and engineering leadership on planning, technical decisions, and code review, and bring your own ideas to the table
  • Learn the existing architecture, integrations, and data flows well enough to build confidently on a live codebase
  • Turn feedback from coaches and recruiting staff into improvements that make the product more useful

QUALITY & OPERATIONS

  • Participate in UpNext's weekly release cycle, including code review and QA before changes reach coaches
  • Fix bugs, add tests, and keep code and documentation clear so the team can move faster and safer
  • Help improve testing, observability, and deployment where they make development faster and safer

GROWTH PATH - FIRST 3 MONTHS

MONTH 1: FOUNDATION

  • Learn the architecture, integrations, data flows, and technical risks of the existing codebase
  • Get to know the UpNext platform: Search, Smart Lists, Insights, Team Pages, Athlete Profiles, and Activity Feed
  • Learn the recruiting and transfer portal domain, including how portal data flows into the product
  • Ship your first improvements to production

MONTH 2: GROWING OWNERSHIP

  • Take on feature work with increasing independence
  • Contribute to technical decisions and code reviews
  • Begin joining the weekly product and leadership discussion
  • Help with release and QA tasks

MONTH 3: INDEPENDENCE

  • Own features from scoping through release
  • Work directly with the founder on priorities and tradeoffs
  • Identify and propose improvements to the product, data pipeline, and engineering workflow

ADDITIONAL OPPORTUNITIES

  • Grow your technical depth across a data-heavy, AI-enabled product
  • Take on more ownership as UpNext and the engineering team scale
  • Deepen your expertise in the college sports recruiting and transfer portal space

QUALIFICATIONS

  • Approximately 2–4 years of experience building and shipping production software, with ownership of features from implementation through release
  • Strong full-stack engineering skills, including experience with APIs, integrations, and asynchronous workflows
  • Familiarity with TypeScript, Next.js/React, and Postgres (Supabase)
  • Demonstrated ability to learn, extend, and improve an existing production codebase
  • Hands-on experience using AI coding agents to accelerate development; experience shipping LLM-enabled features is a plus
  • Exposure to ETL or data pipelines is a plus
  • Solid computer-science fundamentals, whether developed through formal study or practical experience
  • Clear written and verbal communication, including working with founders and other non-engineering stakeholders
  • Based in New York City or Charlotte (open to Hybrid and Remote)

We care more about demonstrated ability, judgment, passion, and ownership than exact years of experience or résumé shape.

NICE TO HAVE

  • Experience working with Supabase, Tailwind CSS, GCP tools and services
  • Experience working with Devin (Cognition's AI engineer)
  • Former college athlete
  • A portfolio of passion projects or past initiatives that you have directly built or majority was contributed by you

COMPENSATION

Base salary: $120,000 to $180,000, depending on experience and demonstrated ability.

AMERICANS WITH DISABILITIES STATEMENT

Must be able to perform all essential functions of this position with reasonable accommodation.

EEO STATEMENT

We are an Equal Opportunity Employer. Our goal is to be a diverse workforce that is representative, at all job levels, of the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veterans' status, and will not be discriminated against on the basis of disability or any other applicable legally protected characteristic.

Source: Scope careers (Ashby)

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