Pareto.AI

Head of AI Engagement Management

Pareto.AI

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California • United States

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Salary

💰 $200,000 - $270,000 per year

Job Level

Lead

About the role

  • Build and Lead the Engagement Management Function
  • Define the operating model, charter, and workflows for EM.
  • Establish segmentation (Tier 1 vs Tier 2 accounts, verticals, pods) and scalable playbooks for engagement planning, QBRs, renewals, and expansion.
  • Set and track core metrics: retention, expansion, account health, NPS/CSAT, and referenceability.
  • Serve as the connective tissue between Sales, Delivery, and Product to ensure a unified customer experience.
  • Hire, Develop, and Lead the EM Team
  • Recruit, onboard, and coach EMs.
  • Define expectations, leveling standards, and performance rhythms.
  • Build a culture of high ownership, technical curiosity, and disciplined execution.
  • Direct Ownership of Strategic Accounts (Player-Coach)
  • Serve as primary point of contact for 1–2 flagship AI lab/model-builder accounts.
  • Build multi-threaded relationships across researchers, PMs/TPMs, vendor ops, and procurement.
  • Map complex org structures, identify champions, and uncover expansion opportunities.
  • Solution Design, Scoping & Commercial Strategy
  • Partner with Product, Delivery, and Engineering to design solutions for data labeling, evaluation, RLHF, red-teaming, and emerging workflows.
  • Ensure strong requirements gathering, alignment on success metrics, and clear translation into operational workflows.
  • Account Health, Renewals & Expansion
  • Maintain living account plans outlining use cases, risks, and growth opportunities.
  • Implement renewal processes across timing, stakeholder alignment, and messaging.
  • Cross-Functional Leadership
  • Partner with Sales on new-logo vs. expansion ownership and seamless handoffs.

Requirements

  • 8+ years in customer-facing roles with technical buyers (Engagement Management, Strategic Accounts, CS, GM, or product-minded ML/data roles).
  • 3+ years leading teams, including hiring, coaching, and performance management.
  • Experience managing complex, multi-stakeholder accounts (AI labs, model builders, or R&D-heavy orgs preferred).
  • Strong understanding of ML/data workflows (data labeling, evaluation, RLHF, red-teaming, or adjacent).
  • Excellent communication across researchers, PMs, executives, and procurement.
  • High ownership, decisiveness, and comfort in rapidly changing environments.
  • Relationship-management skillset suited for long-term, high-trust accounts.
Benefits
  • Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data labelingevaluationRLHFred-teamingsolution designrequirements gatheringoperational workflowsaccount managementperformance managementengagement management
Soft skills
communicationleadershiprelationship managementhigh ownershipdecisivenesscoachingtechnical curiosityorganizational skillsadaptabilitycollaboration