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Director, AI Products

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: ChatGPT Jobs
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Company

Level AI – conversational intelligence platform purpose‑built for the modern enterprise, leveraging generative and agentic AI for contact centers.

Job Title

Director, AI Products

Location

Mountain View, CA (Hybrid)

Compensation & Benefits
  • Competitive base salary
  • Meaningful equity
  • Performance bonus
  • Full medical, dental, and vision coverage
  • 401(k)
  • Unlocked PTO
  • Parental leave
  • Home office stipend
Required Qualifications
  • 8+ years of product management experience.
  • At least 4 years shipping AI/ML or NLP products in production at scale.
  • Demonstrated track record leading LLM‑powered, speech, or conversational AI products through 0→1 and scale stages.
  • Strong technical fluency (prompt engineering, eval design, RAG, fine‑tuning, hallucination mitigation, latency/cost trade‑offs).
  • B2B SaaS experience, ideally enterprise.
  • People management experience (hiring, leveling up, and retaining senior PMs).
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Background in conversational intelligence, contact center technology (CCaaS, WEM, QA), speech/ASR, or applied NLP.
  • Experience in conversational AI, contact center, or revenue intelligence spaces.
  • Technical degree (CS, EE) or strong applied AI/ML credentials.
Key Responsibilities
  • Own the multi‑quarter roadmap and product strategy for Level AI's AI product portfolio (including Agent Assist, AutoQA, Voice of the Customer, coaching, and analytics).
  • Lead, hire, and develop a team of senior product managers.
  • Partner with AI/ML engineering on model selection, fine‑tuning vs. prompting trade‑offs, RAG architecture, and evaluation methodology.
  • Shape the agentic product roadmap (multi‑agent systems, orchestration patterns).
  • Define accuracy benchmarks, guardrails, and quality bars for AI features.
  • Translate contact center workflows into AI product opportunities.
  • Drive 0→1 launches and scale existing products.
  • Partner with GTM teams (Sales, Marketing, CS) on positioning, pricing, and packaging.
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