A remote Product Management role at HighLevel.
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Original listing text, shown exactly as published by the company.
AI Platform Strategy- Define the roadmap for HighLevel’s AI platform layer.- Identify core AI primitives that should be centralized across the company.- Ensure platform capabilities enable teams to ship AI features faster.
AI Infrastructure & Capabilities
Design and evolve platform systems including:- LLM and model orchestration- Agent frameworks and tool usage- Context and data pipelines- AI evaluation and monitoring- Guardrails and governance frameworks
Internal Developer Enablement- Build tools and abstractions that simplify AI development for product teams.- Provide documentation and reusable building blocks.- Reduce duplicated effort across teams.
Reliability, Performance & Cost- Define performance and reliability standards for AI systems.- Work with engineering to optimize inference latency, cost, and scalability.
Responsible AI & Governance- Embed safety, compliance, and transparency into AI platform design.- Partner with security and legal teams on governance frameworks.
What Success Looks Like- Product teams can ship AI features faster- Reduced duplication of AI infrastructure- Reliable and scalable AI platform services- Consistent AI output quality across products
Minimum Qualifications- 8–10 years of product management experience- Experience working on technical platforms or developer infrastructure- Strong understanding of AI systems and LLM architectures- Ability to operate independently with high ownership
Preferred Qualifications- Hands-on coding or AI prototyping experience (1–2+ years)- Experience building AI platforms, ML infrastructure, or developer tools- Familiarity with agent frameworks, vector databases, and evaluation systems
Who This Role Is For- Technical PMs who enjoy building foundational systems.- Builders who work closely with engineering and architecture.- Product managers comfortable prototyping ideas and validating solutions quickly.
HighLevel
Product Management
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