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HighLevel

HighLevel - Full Stack Builder – Team of One (Product + Engineering Owner)

Remote - India1mo ago
RemoteAPACCloud ComputingArtificial IntelligenceFull Stack EngineerFull StackDocumentationNode.jsReactAngular

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Requirements

• Define MVP vs V1 vs V2 iterations and define the requirement • In-scope / out-of-scope • User stories & acceptance criteria • Edge cases & risks • Maintain clear decision logs and documentation. • Prevent scope creep through structured thinking. • 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. • 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 • 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 • 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 • Product discovery & customer research • Problem framing & structured thinking • Roadmapping & prioritization frameworks • KPI definition & data-driven iteration • 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.

Responsibilities

• 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.

Benefits

• 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

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