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:
The traditional model of siloed product managers, designers, and engineers is too slow for modern AI-native development. At HighLevel, every engineer owns a product outcome end-to-end, from idea to prototype to production to scale. You will operate as a Team of One. With AI tooling and strong engineering infrastructure, a single engineer can now build what previously required an entire squad. You are not implementing tickets. You own the product.
What You'll Do:
End-to-End Product Ownership:
Translate business goals into working, deployable systems
Define architecture, workflows, and implementation plans
Ship and maintain production-grade systems — not demos or prototypes
Rapid Prototyping & Iteration:
Turn ambiguous ideas into working demos within hours or days
Prototype using code, AI tooling, automation, or low-code systems
Validate through experiments and real user feedback, then iterate to production quality
Build AI-Native Systems:
Design and orchestrate LLM agents, retrieval pipelines, workflow automation, memory layers, APIs, and guardrails. Build for resilience against hallucinations, model variability, and quality degradation over time.
Design for Scale, Cost & Performance:
Reason through token consumption, inference cost, latency constraints, infrastructure scalability, and system resilience. The goal: systems that work efficiently at scale.
Operational Excellence:
Instrument systems with monitoring and telemetry
Build evaluation loops for continuous quality improvement
Automate workflows that increase engineering velocity
Maintain clear, repeatable documentation
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
What Success Looks Like:
Consistently reduces cycle time from idea to production
Ships production-grade systems, not experiments
Balances quality, latency, and cost in system design
Builds evaluation loops that improve product performance over time
Why You'll Love Working Here:
Massive Impact: Your work directly affects millions of businesses worldwide
High Autonomy: We trust builders to own outcomes, not just tasks
Remote-First: Work from anywhere; we measure results, not hours
AI-Native Stack: Latest tooling to accelerate building and experimentation
Builder Culture: We value speed, ownership, clarity of thought, and execution
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.
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