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.
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 1 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
- 5+ years of experience as a Product Manager
- 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.
Equal Employment Opportunity Information
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 recordkeeping, 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.
We encourage you to review our Privacy Policy before submitting your application
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
