Job Description
About Us
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 1 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.
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.
Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
Role Overview
We are hiring a Team of One – Full Stack Builder.
This is not a traditional engineer role.
This is not a traditional product manager role.
You will own a problem space end-to-end — from discovery and strategy to architecture, implementation, launch, metrics, and iteration.
You are responsible for outcomes, not tasks.
You will think like a Product Manager, execute like a Senior Engineer, and own impact like a Founder.
What You’ll Do
1. Product Discovery & Problem Framing
Own a clearly defined problem area within the platform.
Conduct lightweight discovery: customer calls, support ticket mining, analytics review, win/loss insights, session replays.
Write sharp problem statements and define measurable success criteria.
Turn ambiguity into structured thinking and validated hypotheses.
Identify opportunities to improve activation, retention, revenue, or operational efficiency.
2. Requirements & Product Documentation
Define MVP vs V1 vs V2 iterations and define the requirement
Goals & KPIs
In-scope / out-of-scope
User stories & acceptance criteria
Edge cases & risks
Maintain clear decision logs and documentation.
Prevent scope creep through structured thinking.
3. UX & Experience Ownership
Design intuitive user flows and information architecture.
Think deeply about onboarding, empty states, failure states, and microcopy.
Ensure experiences align with platform conventions.
Ship functional, usable interfaces even when design support is limited.
Advocate for customer clarity and simplicity.
4. Full Stack Architecture & Engineering Execution
Architect scalable systems across frontend, backend, APIs, automation, and AI workflows.
Ship production-grade code with high reliability and maintainability.
Balance latency, performance, scalability, and cost.
Build integrations and automation frameworks.
Own migrations, backward compatibility, and system resilience.
5. AI-Native System Design
Build LLM-powered features, agents, or workflow automation.
Design evaluation loops and guardrails.
Optimize inference cost, latency, and reliability.
Continuously iterate based on real usage signals.
6. Analytics, Instrumentation & Experimentation
Define KPIs for every feature shipped.
Instrument events, funnels, and telemetry.
Monitor adoption, activation, engagement, and failure metrics.
Run lightweight experiments or A/B tests.
Use data to drive iteration and continuous improvement.
7. Operational Excellence
Improve system observability and monitoring.
Automate internal workflows to reduce cycle time.
Maintain clean documentation and runbooks.
Continuously reduce tech debt and UX debt.
What Success Looks Like
Reduced cycle time from idea → production.
Production-grade systems (not prototypes).
Measurable improvement in product KPIs.
Lower support tickets and improved customer satisfaction.
Clear documentation and scalable architecture.
Strong ownership and minimal oversight required.
Minimum Qualifications
Demonstrated track record of shipping production systems
Strong systems thinking and logical reasoning
High ownership mindset; operates well with minimal supervision
Comfortable with ambiguity and fast iteration cycles
Experience with APIs, automation tools, or AI platforms
Ability to reason about infrastructure tradeoffs and system reliability
Preferred Qualifications
Experience building LLM-based or AI-driven products
Familiarity with evaluation frameworks, monitoring, or instrumentation
Experience with data pipelines, analytics, or telemetry
Strong UX and front-end sensibility
Portfolio or GitHub showcasing deployed systems
Stack: React / Vue / Angular · Node.js / Python / Java
Core Technical Skills
Frontend frameworks (React, Vue, Angular, etc.)
Backend development (Node.js, Python, Java, etc.)
API design and system integration
Database architecture & optimization
Cloud infrastructure fundamentals
Monitoring and observability tools
Performance optimization
Core Product Management Skills
Product discovery & customer research
Problem framing & structured thinking
Roadmapping & prioritization frameworks
KPI definition & data-driven iteration
UX thinking & experience design
Stakeholder communication & alignment
Outcome-based ownership mindset
Who This Role Is For
Builders who prefer ownership over hierarchy and want to own outcomes end-to-end.
Engineers who think like product leaders and make strong product decisions.
Product thinkers who can ship real, production-grade systems, not just write specs.
Individuals comfortable operating in high-ambiguity environments with minimal process.
Builders who actively leverage AI tools, automation, and modern development workflows to accelerate prototyping, coding, testing, and product development.
Individuals who use AI-assisted development (LLMs, copilots, automation workflows, code generation tools, etc.) to move faster while maintaining high engineering quality.
People excited about moving quickly from idea → prototype → production, using AI and automation to dramatically reduce development cycles.
Why Join HighLevel
Massive scale and real-world impact.
Remote-first flexibility.
AI-native innovation environment.
High ownership and autonomy.
Fast decision-making and minimal bureaucracy.
Opportunity to build products used by millions.