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Staff Product Engineer – Marketplace

HighLevel

Location

Remote, US

Salary

$194,000 - $257,500 /yearly

Type

fulltime

Posted

Today

Remote
via indeed

Job Description

About HighLevel:

HighLevel is an AI-powered operating system that helps businesses grow. Over 1 million businesses globally run on HighLevel, processing 15\+ billion API hits, 2\.5 billion messaging events, and 470 terabytes of data daily across 250\+ micro services and 1 million\+ domains worldwide. HighLevel answers over 1\.3m\+ calls a month using AI, and sends over 17m text messages using AI. Together with AskAI, the agent builder and the AI employee it is the AI platform of choice to grow.

Our People:

With over 1,500 team members across 15\+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.

About the Role:

We are looking for a Staff Product Engineer to build and scale our Marketplace and Developer Ecosystem. You will operate as a Team of One, owning end-to-end systems across Public APIs, App Marketplace, integrations, and monetization. This role combines hands-on building, product ownership, and system design—focused on delivering scalable, production-grade systems that power developers and partners on our platform.

Roles \& Responsibilities:

End-to-End Ownership

Own systems from idea production* scale

  • Translate ambiguous problems into working, high-impact products

Execution \& Prototyping

  • Rapidly prototype, validate, and iterate using real usage
  • Leverage AI tools to accelerate development

Systems \& Architecture

  • Design for scale, reliability, and extensibility
  • Ensure strong API design (versioning, compatibility, security)

Developer Experience

  • Improve SDKs, docs, sandbox, and debugging workflows
  • Reduce friction across the developer lifecycle

Scale \& Performance

  • Build for high-throughput APIs and event-driven systems
  • Optimize for latency, cost, and reliability

Technical Leadership

  • Drive architecture across domains

Mentor engineers and influence cross-team decisions

*

Team-Specific Focus Areas:

API Platform

  • Public APIs (v1/v2), OAuth/SSO, rate limiting, webhooks
  • SDKs and developer tooling

Marketplace \& Monetization

  • App subscriptions, usage billing, wallets, payouts
  • App discovery, approvals, and distribution

Integrations \& Extensibility

  • Third-party integrations (Google, Meta, Slack, etc.)
  • Custom providers, triggers/actions, external auth

Customization \& Assets

  • Templates, snapshots, and AI agent distribution

Custom pages, theming, and frontend extensibility

*

Qualifications:

  • 9\+ years of engineering experience
  • Strong in Node.js \+ modern frontend frameworks
  • Experience building APIs, platforms, or marketplaces
  • Deep understanding of distributed systems and API design
  • High ownership, strong product sense, and ability to operate independently
  • Experience with developer platforms, billing systems, or integrations [Nice to have]
  • Familiarity with AI-driven systems or automation [Nice to have]

EEO Statement:

The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record-keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

#LI-Remote #LI-NJ1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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