Head of AI Engagement Management

About Pareto.

AI

, we’re on a mission to enable top talent around the world to participate in the development of cutting-edge AI models.

Location
San Francisco Office, US Remote

Employment Type
Full time

Location Type
Hybrid

Department
Data Delivery

Compensation
$200K – $270K;
Offers Equity

Pareto is hiring its first Head of AI Engagement Management
, responsible for building and leading the function that owns customer relationships, engagement health, and long-term success across our most strategic AI accounts. This role blends player-coach execution with organizational design. You will directly manage a small portfolio of Tier-1 customers while building a high-performance Engagement Management (EM) team. EM owns relationship depth, technical credibility, retention, and expansion in close partnership with Delivery and Sales.

You own the long-term success, retention, and growth of Pareto’s most critical AI customers. You will act as a trusted advisor to researchers, PMs, and engineering leaders shaping next-generation AI systems and ensure Pareto remains a valued execution and thought partner.

• 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.

• Recruit, onboard, and coach EMs.
• Define expectations, leveling standards, and performance rhythms.
• Build a culture of high ownership, technical curiosity, and disciplined execution.

• 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.

• 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.
• Maintain standards for scoping, SLAs, quotes, and margins.
• Translate research-driven technical requirements into clear, implementable workflows with Delivery and Product.

• Maintain living account plans outlining use cases, risks, and growth opportunities.
• Implement renewal processes across timing, stakeholder alignment, and messaging.
• Build early-warning systems for churn and coordinate cross-functional mitigation plans.

• Partner with Sales on new-logo vs. expansion ownership and seamless handoffs.
• Work closely with Delivery to ensure EMs and DDLs show up as a unified team.
• Collaborate with Product/R&D to bring structured customer insights into roadmap planning and ensure EM fluency on upcoming capabilities.

Organizational Impact

• High retention and expansion across key accounts with minimal surprise churn.
• Smooth cross-functional execution with Sales and Delivery.
• EM team that confidently engages researchers and technical buyers.
• Repeatable playbooks enabling consistent performance and fast onboarding.
• Zero renewal risk due to engagement or relationship issues.

• 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).
• Demonstrated ability to:
• Lead solution design and scoping with Delivery/Ops
• Own or co-own renewals, expansions, and margins
• Navigate procurement/vendor ops in enterprise settings
• 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.

• STEM background or strong technical fluency (CS, Engineering, Stats, ML, Economics).
• Experience at an AI data provider, ML infra platform, or developer tools company.
• Existing relationships within the AI/ML ecosystem.
• Experience working in R&D-driven organizations.