Software Engineer - Marketplace

NxT Level•San Francisco, CA

About The Position

Our client is building technology to connect specialized domain experts with complex projects at scale. Its platform uses AI and automation to identify, assess, onboard, and match experts with opportunities. As the company grows, it is investing in infrastructure to support expert acquisition and deployment and replace manual workflows with intelligent systems. The Software Engineer, Marketplace and Growth Infrastructure will build the internal platforms and automation systems that power the expert marketplace. This is not a traditional growth engineering role focused on marketing experiments or conversion optimization. The engineer will build software that helps growth teams recruit, interview, assess, onboard, and match experts with customer projects. The role owns full-stack systems end-to-end, including AI-powered interviewing, expert management platforms, internal automation, and eventually machine learning-driven matching and recommendation systems. It offers high ownership, direct exposure to business operations, and the opportunity to build products that increase team productivity.

Requirements

2–5 years of professional full-stack software engineering experience.
Experience building production applications across frontend and backend systems.
Strong understanding of APIs, databases, data modeling, and scalable application architecture.
Experience building internal tools, platforms, or workflow automation.
Ability to translate business problems into practical engineering solutions.
Interest in AI-powered applications, agents, and machine-learning-driven workflows.
Strong product judgment and ability to prioritize high-impact improvements.
Comfort working directly with non-engineering teams to understand operational challenges.
High ownership, strong problem-solving skills, and ability to work independently in a fast-moving environment.

Nice To Haves

Experience building marketplaces, hiring platforms, recruiting software, or workforce management systems.
Experience developing AI-powered interviewers, assessments, or automation tools.
Experience with recommendation systems, matching algorithms, or applied machine learning.
Experience building workflow orchestration or internal productivity platforms.
Experience at an early-stage or high-growth startup.

Responsibilities

Build and scale infrastructure for expert acquisition, assessment, onboarding, and project matching.
Develop internal platforms for managing experts, applications, interviews, and project assignments.
Build AI-powered interviewing and assessment tools.
Create outreach automation and recruiting workflows to reduce manual work.
Develop systems that match experts to projects based on skills, availability, and fit.
Partner with growth teams to identify operational bottlenecks and build solutions.
Instrument acquisition and onboarding funnels to measure performance and identify improvements.
Build internal tools that increase operational throughput and reduce repetitive processes.
Help develop machine-learning-powered recommendation systems that predict expert demand and automate project staffing.
Own features from initial requirements through deployment and iteration.