Full Stack Engineer

Nxt Level; San Francisco (CA); On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Visa sponsorship

Competitive equity package

Job summary

Nxt Level is seeking a product-minded Full-Stack Software Engineer to build the internal platforms powering our expert marketplace. You will own full-stack features from requirements through deployment, including AI-powered interviewing, onboarding automation, and matching systems.

In this high-ownership role you’ll work closely with growth and operations teams to identify bottlenecks, design scalable architectures, and ship tools that dramatically increase productivity and candidate matching

Qualifications

• 2–5 years of professional full-stack experience.
• Experience building production-grade frontend and backend.
• Strong API design, databases, and scalable architecture.
• Experience building internal tools and automation.
• Interest in AI-powered applications and ML workflows.

Responsibilities

• Build and scale infrastructure for expert acquisition, onboarding, and matching.
• Develop internal platforms for managing experts, interviews, and projects.
• Create AI-powered interviewing and assessment tools.
• Design outreach workflows to reduce manual work.
• Develop matching systems based on skills and availability.
• Collaborate with growth teams to remove bottlenecks.
• Instrument funnels to measure performance and improvements.
• Own features from requirements to deployment.

Skills

Full-stack development

API design

Data modeling

Cross-functional collaboration

Problem solving

Tools

Internal tools development

Workflow automation

ML concepts

Job description

On-Target Earnings (OTE): $300,000–$400,000

Equity: Competitive

Visa Sponsorship: Open to visa transfers, including OPT and H-1B

About Our Client

Our client is building technology that connects specialized domain experts with complex projects at scale.

Their platform helps identify, assess, onboard, and match experts with opportunities, using AI and automation to make the process faster, more efficient, and more scalable.

As the company grows, they're investing in the infrastructure that powers expert acquisition and deployment, replacing manual workflows with intelligent systems.

About the Role

Our client is hiring a Software Engineer, Marketplace and Growth Infrastructure to build the internal platforms and automation systems that power its expert marketplace.

This is not a traditional growth engineering role focused on marketing experiments or conversion optimization. Instead, you'll build the software that enables growth teams to recruit, interview, assess, onboard, and match experts with customer projects.

You'll own full-stack systems end-to-end, including AI-powered interviewing, expert management platforms, internal automation, and eventually machine learning-driven matching and recommendation systems.

This is a high-ownership role with direct exposure to business operations and opportunities to build products that dramatically increase team productivity.

What You'll Do

• Build and scale the infrastructure powering 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 that reduce manual work.
• Develop systems that match experts to projects based on skills, availability, and fit.
• Partner directly 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 ML-powered recommendation systems that predict expert demand and automate project staffing.
• Own features from initial requirements through deployment and iteration.

What We're Looking For

• 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.
• Comfortable 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.

Bonus Experience

• 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.

Why This Opportunity

• Build the core infrastructure behind a growing expert marketplace.
• Own meaningful full-stack systems with direct business impact.
• Develop AI-powered interviewing, onboarding, and matching technology.
• Work directly with growth teams to automate complex operational workflows.
• Help shape future machine learning-driven recommendation systems.
• Take ownership of projects from concept through production.
• Join a team where engineering directly influences how quickly the business can scale.
• On-Target Earnings: $300,000–$400,000
• Equity: Competitive equity package
• Visa: Open to visa transfers, including OPT and H-1B

Ideal Candidate Profile

The ideal candidate is a product-minded Full-Stack Software Engineer who enjoys building internal platforms, automating workflows, and solving operational problems with software.

They understand how to build scalable applications, work closely with business teams, and identify opportunities where AI and automation can significantly improve productivity.

This person is excited by the opportunity to build the technical foundation of an expert marketplace and eventually develop intelligent systems that automate expert recruitment and matching.