Pareto.AI

Account Manager

• Own data acquisition for frontier AI training
• Build and scale our data partnership portfolio from the ground up
• Source niche, complex, realistic datasets that push the boundaries of what AI models can learn
• Deliver coverage across diverse domains and data types that our models need
• Identify where valuable training data exists and who controls it—from academic institutions to failed startups to enterprise archives
• Build creative sourcing strategies tailored to each data type and domain
• Navigate IP sensitivities and organizational constraints to unlock access to high-value datasets
• Negotiate partnerships with academic researchers, enterprise legal teams, bankrupt companies, frontier AI labs, and specialist communities
• Structure creative agreements (buy, license, revenue-share, co-creation) that work for each partner's constraints
• Build trust and credibility quickly with stakeholders from completely different professional worlds
• Partner with our Applied AI and Research teams to understand what makes training data valuable (realism, complexity, edge cases, diversity)
• Communicate credibly with technical stakeholders about data quality and model requirements
• Balance technical needs with commercial realities (cost, timeline, IP risk)
• Create processes, frameworks, and systems as you learn what works
• Develop prioritization logic that accounts for data quality, strategic fit, cost, and speed
• Establish metrics and reporting for data operations (pipeline health, cost efficiency, portfolio coverage)

Technical Partnerships Lead

Backend Engineer

• Owning the backend from architecture and specifications through to ensuring reliable, live deployments
• Ability to understand, translate, breakdown and estimate the product roadmap into features
• Lead user testing sessions with stakeholders on some of the features you implement
• Contribute to maintaining a best-in-class quality pipeline, encompassing Linting, CI/CD, and usability tests

Lead, Senior Back End Engineer

Artificial Intelligence

• 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.

Head of AI Engagement Management

Growth Marketing

• Own Expert Growth Strategy & Operating Model
• Build Sourcing & Screening Systems
• Own Expert Onboarding & Activation
• Manage Expert Roster, Allocation & Utilization
• Own Expert Compensation & Pricing Strategy
• Drive Expert Retention & Quality
• Lead & Develop the Expert Growth Team
• Cross-Functional Partnership & Data-Driven Optimization with Delivery, Sales and Account Management, and Finance

Head of Expert Growth

Controller

• Own monthly, quarterly, and annual close; maintain a reliable 5-day close.
• Maintain accounting policies, documentation, and internal controls.
• Manage AP/AR, payroll accounting, revenue recognition, accruals, and reconciliations.
• Deliver accurate, audit-ready financial statements.
• Build financial reporting for leadership and investors.
• Partner with COO/CEO on budgets, forecasts, and cash-flow modeling.
• Analyze unit economics, margins, and operational performance.
• Implement and optimize accounting systems (QBO; evaluate NetSuite).
• Automate workflows across payables, receivables, expenses, and revenue operations.
• Build scalable processes that support operational and data-delivery growth.
• Ensure GAAP compliance and internal controls.
• Manage tax filings and audit support with external CPA firms.
• Maintain audit-ready documentation and support financial diligence.
• Partner with People Ops, Legal, Delivery, and GTM on finance-adjacent workflows.
• Support pricing, billing, procurement, and vendor evaluations.
• Provide financial clarity across the organization as Pareto scales.