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Pareto Jobs (NOW HIRING)

Pareto AI

AI Engagement Manager

$150K - $180K/yr

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 ...

Pareto AI

Office Assistant

San Francisco, CA · On-site

$30/hr

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 ...

Pareto AI

Office Assistant

San Francisco, CA · On-site

$30/hr

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 ...

Pareto Inc.

AI Engagement Manager

California, MO · On-site

$100 - $130/hr

About us At Pareto.AI, we're on a mission to enable top talent around the world to participate in the development of cutting‑edge AI models. In coming years, AI models will transform how we work ...

ParetoHealth

SVP Sales, Northeast

Boston, MA

Pareto Health is seeking a dynamic and results- driven Senior Vice President of Sales to lead our sales efforts in the New England region. This role is pivotal to driving Pareto's market expansion ...

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How much do pareto jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for pareto in the United States is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.32 per hour, depending on experience, location, and employer.

What is a Pareto job?

Pareto jobs typically refer to roles at Pareto, a company specializing in recruiting, training, and placing graduates and early-career professionals in sales and business development positions. The company partners with a wide range of organizations to help them find and develop talent. Working at Pareto may involve roles in recruitment, sales consultation, training, and talent management. These jobs focus on identifying high-potential candidates and matching them with appropriate client opportunities. Employees receive support and training to help them succeed in fast-paced, client-facing environments.

What types of projects does a Pareto analyst typically work on, and how do they collaborate with other team members?

Pareto Analysts often engage in projects that involve data collection, research, lead generation, and process optimization for clients across various industries. Collaboration is a key part of the role, as analysts frequently work alongside project managers, quality assurance specialists, and sometimes directly with clients to ensure deliverables meet expectations. Team communication often occurs through digital platforms, given the remote nature of many Pareto roles, which fosters a collaborative yet flexible work environment. This structure allows analysts to both contribute individually and learn from teammates, facilitating professional growth and exposure to diverse tasks.

What are the key skills and qualifications needed to thrive as a Pareto analyst, and why are they important?

To thrive as a Pareto Analyst, you need strong analytical abilities, proficiency in data analysis, and a relevant degree in business, economics, or statistics. Familiarity with tools like Microsoft Excel, Power BI, and statistical software such as R or Python is typically required. Outstanding problem-solving, communication, and attention to detail are vital soft skills for interpreting data and presenting insights to stakeholders. These competencies are essential to identify key areas for improvement and drive data-driven decision-making within organizations.

What is the difference between Pareto vs Data Analyst?

AspectParetoData Analyst
Required CredentialsTypically a degree in business, economics, or related fields; certifications like Six Sigma or Lean are commonBachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, SQL, or Tableau are common
Work EnvironmentBusiness settings, focusing on process improvement and decision-makingOffice environments, analyzing data sets, creating reports and visualizations
Employer & Industry UsageUsed across industries for process optimization and quality managementUsed in finance, healthcare, marketing, and tech for data-driven decision making

While both roles involve analysis, Pareto focuses on identifying key factors using the Pareto principle, whereas Data Analysts interpret data to inform business decisions. Understanding these differences helps in choosing the right career path or job role.

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Pareto jobs near you
Infographic showing various Pareto job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $44,139 per year, or $21.2 per hour.

AI Engagement Manager

Pareto AI

Remote

$150K - $180K/yr

Full-time

Re-posted 3 days ago

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.
At Pareto, we build the platform that turns that judgment into the data, evals, and RL environments frontier models 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.

Apply