Principal Product Manager - Knowledge Bases & Ask AI

3 weeks, 2 days ago
Full-time
Lead
Artificial Intelligence and Machine Learning
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • Define and drive the long-term product vision, strategy, roadmap, and platform architecture for Ask AI and Knowledge Bases.
  • Own the end-to-end Ask AI experience across chat, voice, memory, templates, actions, approvals, and lifecycle management.
  • Own the Knowledge Base platform across ingestion, extraction, indexing, retrieval, citations, freshness, versioning, testing, permissions, and observability.
  • Establish product principles for answering questions, selecting tools, invoking agents, handling failures, and communicating results.
  • Create a shared context model spanning identity, permissions, business data, memory, and previous tool outputs.
  • Partner with AI, engineering, platform, infrastructure, design, security, legal, privacy, finance, support, and go-to-market teams.
  • Define evaluation, instrumentation, debugging, and quality systems for AI responses, retrieval, actions, and outcomes.
  • Build representative test datasets and improve quality-management workflows for Knowledge Bases and Ask AI.
  • Develop the platform model for reusable, bundled, inherited, and marketplace-distributed Knowledge Bases.
  • Mentor other PMs and influence AI product strategy across the broader HighLevel platform.

Requirements

  • 12+ years of product management experience across complex B2B SaaS, AI assistants, enterprise search, knowledge management, workflow automation, CRM, developer platforms, or AI agent products.
  • Experience operating as a Principal PM, Staff PM, Lead PM, product founder, or equivalent senior individual contributor.
  • Experience defining strategy across multiple teams and delivering sustained customer and commercial outcomes.
  • Experience building production AI products that combine answers, context, tools, workflows, and actions.
  • Strong understanding of grounded answers, retrieval quality, agentic systems, and production reliability.
  • Technical fluency in several areas such as RAG, document ingestion, chunking, embeddings, hybrid retrieval, re-ranking, structured-data retrieval, LLM orchestration, memory systems, APIs, and webhooks.
  • Strong judgment around AI evaluation, observability, permissions, approvals, reversibility, and customer trust.
  • Experience designing products where AI can change business data or execute consequential actions.
  • Experience simplifying technically sophisticated systems for non-technical users and working in multi-tenant SaaS.
  • Excellent written communication, strong systems thinking, analytical capability, commercial judgment, and ability to influence without direct authority.
  • Experience with browser automation, enterprise assistants, knowledge-management platforms, or similar products is preferred.
  • Experience with AI usage-based pricing, inference cost management, vector-storage economics, or fair-use controls is preferred.
  • Familiarity with metrics such as retrieval recall, grounded-answer rate, action success rate, latency, cost per outcome, and support-ticket rate is preferred.

Benefits

  • Remote-first work environment.
  • Opportunity to join a well-funded and profitable company.
  • Work on high-impact products used by more than 1 million businesses across 150+ countries.
  • Fast-paced environment with lean execution and rapid product delivery.
  • Focus on employee well-being.
  • Opportunity to learn how to scale a B2B SaaS startup and build impactful products.

Interested in this position?

Apply directly on the company website

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