---
title: 'AI Engagement Manager at Pareto'
canonical: 'https://feeny.ai/job/ai-engagement-manager-pareto-united-states-9715330zxvwv'
type: 'job'
last_seen: '2026-09-12'
---

# AI Engagement Manager at Pareto

- **Company:** Pareto
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-03
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/pareto-ai/92e0acb1-9fa6-450f-b71d-9cffe6c68288

## Job description

## About Pareto

Humanity is in a virtuous cycle: human insight improves AI, and better AI expands what people can do. Sustaining it depends on the one input that can't be automated: [expert human judgment](https://pareto.ai/blog/debating-persuasive-llms-truthful-answers). At Pareto, we build the platform that turns that judgment into the [data](https://pareto.ai/blog/community-driven-knowledge-resource-ai), [evals](https://pareto.ai/blog/introducing-attunebench), and RL environments [frontier models](https://pareto.ai/blog/llm-metacognition-shared-and-shallow) learn from. We work with leading frontier labs like Anthropic and GDM, and we give skilled people everywhere a way to shape the future of AI and share in what it creates. This RL environment and human-data infrastructure is already in production. Our job now is to scale it.

## The Role

AI Engagement Managers own the relationships with Pareto's most important accounts. The clients are AI labs and model builders using Pareto's data pipelines to train next-generation models. You work directly with researchers, TPMs, and PMs at organizations like Anthropic and GDM, understand what they're building, and make sure Pareto is the execution partner they call first. This is account management with real technical depth. You own renewal, expansion, and account health. You catch problems before they surface and spot growth before the client thinks to ask. That's the job.

## What You'll Own

- Own a portfolio of flagship AI lab and model-builder accounts as the primary point of contact
- Build relationships across researchers, PMs, TPMs, vendor ops, and procurement at each account. Multi-threaded, not single-contact.
- Partner with Product, Delivery, and Engineering to design solutions covering data labeling, evals, RLHF, and red-teaming workflows
- Drive renewal and expansion. Own timing, stakeholder alignment, and commercial outcomes.
- Keep living account plans that surface risks, track active use cases, and flag growth paths before they go cold
- Work with Sales on handoffs and with Delivery to show up as one team to clients
- Bring structured customer insights into roadmap planning with Product and R&D

## What We're Looking For

- 2+ years in customer-facing roles with technical buyers: Engagement Management, Strategic Accounts, Customer Success, or product-adjacent ML/data roles
- Experience managing complex multi-stakeholder accounts, preferably at AI labs, model builders, or R&D-driven organizations
- Working knowledge of ML and data workflows: data labeling, evals, RLHF, red-teaming, or adjacent areas
- Demonstrated ability to lead solution design and scoping alongside Delivery and Operations
- Experience owning or co-owning renewals, expansions, and commercial outcomes
- Strong written and verbal communication across researchers, PMs, executives, and procurement

You Probably Aren't the Fit If

- STEM background or strong technical fluency in CS, Engineering, Stats, ML, or Economics
- Experience at an AI data provider, ML infrastructure platform, or developer tools company
- Existing relationships within the AI/ML ecosystem
- Experience working inside R&D-driven organizations where priorities shift with the research

You Probably Aren't the Right Fit If

- You're most comfortable when client needs are stable and well-documented. Accounts here move fast, and requirements shift with the research.
- You prefer a narrow, well-defined function. This role covers relationship management, solution design, and commercial ownership at the same time.
- You want to manage from a distance. AI EMs are high-contact with clients and internal teams. That's how it works.

## Compensation

Base salary $150K–$180K, plus equity. Final offer depends on experience and level, and we share level-specific ranges early in the process.

## Why Pareto

Your accounts are building some of the most consequential AI systems being built right now. You'd know what Anthropic and GDM are trying to solve before it's public, and what you do keeps the data pipeline running that makes it possible. Equity is part of the package.

## About Pareto

## Company Overview
- **One-liner**: Pareto provides expert-curated data and human judgment signals to train and evaluate frontier AI models.
- **Entity Type**: Private (Seed-stage; total funding $5.1M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Phoebe Yao

## Core Business
- **Industry**: AI training data and reinforcement learning infrastructure; Software Development
- **Target Customers**: B2B – primarily AI research labs, frontier model companies (Anthropic, Character AI, MATS, METR), and enterprise teams building advanced AI systems.
- **Mission/Purpose**: To transform how expert knowledge is captured, scaled, and integrated into AI development – building the infrastructure for training next‑generation models with humans at the center.

## Products & Services
- **End‑to‑End Rater Management**: Rapid sourcing, onboarding, and training of expert raters at scale for on‑demand data work.
- **Expert‑Led Evaluation**: Deep domain‑specific assessments to benchmark and improve model performance (e.g., finance, healthcare, engineering).
- **Iterative Experiment Design**: Collaborative design of experiments from prompt engineering to gold‑standard evaluation setups.
- **Global, High‑Quality Data Collection**: Task‑specific datasets designed to meet research goals, with multilingual and regional diversity.
- **Modular Research Infrastructure**: End‑to‑end support for novel or complex research workflows, including feedback loops and real‑time refinement.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total Funding – $5.1M (Seed rounds: $600K in 2020, $4.5M led by 8 investors in 2022; additional seed investors in 2021)
- **Notable Investors/Partners**: Investors not explicitly named in search results, but partners include **Anthropic**, **Character AI**, **MATS**, **METR** (all cited as clients/references on the solutions page)
- **Growth Signals**: Headcount of 406 employees (+27% YoY); operates in 45 countries; LinkedIn followers grew +164% yearly; trusted by leading AI labs for high‑stakes evaluation work.

## Competitive Advantages
- **Specialized Human Signal**: The company turns “nondeterministic expert judgment into durable reward signals” – a difficult, unsolved problem that many competitors avoid.
- **Calibrated Tasking**: Measures each model’s capability frontier and calibrates tasks to where the model will learn the most, making expert knowledge trainable.
- **Elite Expert Network**: Maintains a global, vetted pool of prompt engineers, annotators, and evaluators with deep domain expertise.
- **Trust from Frontier Labs**: Strong testimonials from Anthropic, Character AI, MATS, and METR verify the quality and impact of their work.

## Strategic Focus
- **Infrastructure for Next‑Gen AI**: Building the verification layer for reinforcement learning on real‑world expertise.
- **Scaling Expert Knowledge**: Moving beyond simple labeling to capture complex judgment (taste, reasoning, specialist instinct) as training signal.
- **Global, On‑Demand Operations**: Continual expansion of the expert network across 45+ countries to provide 24/7 coverage and linguistic diversity.

## Why Work Here
- **Culture & Values**: Emphasizes “Default to open” (honesty and clarity), “Stay curious” (deep answers), “Build from connection” (human‑centered), and “Push for excellence” (continuous growth).
- **Work Environment**: Global remote‑first operation with team members in 45 countries; headquarters in San Francisco (office in Stanford, CA). Collaboration across time zones encouraged.
- **Engineering & Research Culture**: Head of Engineering, Chief Scientist, and Head of Applied AI roles signal strong technical leadership. The career page describes “the most interesting unsolved problem we know” – appealing to those passionate about AI research.
- **Growth Trajectory**: Rapid headcount growth (+27% YoY) and high LinkedIn follower growth suggest strong momentum and career development opportunities.

## Sources
1. [pareto.ai/about-us](https://pareto.ai/about-us)
2. [pareto.ai/careers](https://pareto.ai/careers)
3. [pareto.ai/solutions](https://pareto.ai/solutions)
4. [linkedin.com/company/hellopareto](https://www.linkedin.com/company/hellopareto)

## Other roles at Pareto

- [Senior Software Engineer, RL Environments](https://feeny.ai/job/senior-software-engineer-rl-environments-pareto-san-francisco-jx9sfz7cyqn3) — San Francisco, CA
- [AI Engagement Manager](https://feeny.ai/job/ai-engagement-manager-runway-new-york-32ey04cnrtfw) — New York, NY
- [AI Engagement Manager](https://feeny.ai/job/ai-engagement-manager-vml-wppenterprise-solutions-noida-hhv6q4qj8nx4) — Noida, India
- [AI Engagement Manager](https://feeny.ai/job/ai-engagement-manager-dry-ground-ai-brazil-amwsmss40938) — Brazil