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Datasets Jobs (NOW HIRING)

You will also contribute to the open datasets community by connecting with other AI developers and sharing your work about open datasets on conference panels, meetups, articles, and blogs. You will ...

Business Analyst II

Baltimore, MD ยท Remote

$70.10K - $88.40K/yr

The Business Analyst II will support the FDA Freedom of Information (FOI) team by assisting in the collection, search, and review of datasets using Microsoft Purview. This role requires hands-on ...

Research Data Engineer

Carlsbad, CA

$118.80K - $142.60K/yr

Design data models and datasets optimized for researcher and analyst use. * Maintain datasets used in research studies, ensuring consistency, traceability, and documentation. Batch Data Engineering:

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Datasets information

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$70.5K

$142.8K

$254K

How much do datasets jobs pay per year?

As of May 30, 2026, the average yearly pay for datasets in the United States is $142,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $175,000.00 per year, depending on experience, location, and employer.

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

What cities are hiring for Datasets jobs? Cities with the most Datasets job openings:
What states have the most Datasets jobs? States with the most job openings for Datasets jobs include:
Infographic showing various Datasets job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 92% Full Time, 2% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $142,829 per year, or $68.7 per hour.
Senior product manager, datasets & objects

Senior product manager, datasets & objects

Watershed

Manhattan, NY โ€ข On-site

$139.30K - $183.90K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary:
Watershed is the enterprise sustainability platform that helps companies manage climate and ESG data. The Senior Product Manager will lead the development of an intelligence platform for data insights, working closely with engineering and other teams to enhance data discoverability and AI-powered features.
Responsibilities:
โ€ข Own the product roadmap: vision, strategy, and metrics for BI capabilities, data discoverability, schema design, and AI-powered insights.
โ€ข Ship AI-native features: natural-language search over datasets, automated anomaly detection, AI-assisted analysis (โ€œwhy did Scope 3 spike in Q3?โ€), and proactive recommendationsโ€”using LLMs to unlock insights that were previously only accessible to power users.
โ€ข Build BI-grade primitives: tables as first-class objects, joins, calculated columns, pivotsโ€”so customers can do real analytical work without leaving the platform.
โ€ข Make data discoverable: schema catalogs, data dictionaries, and usage analytics so customers always know what they have and how to use it.
โ€ข Solve the flexibility-vs-rigor tension: design interoperability between canonical (methodology-backed) and custom (user-defined) schemas.
โ€ข Drive correctness and scale: clean up schema debt, ensure auditability, and make the platform fast enough for real analysis.
โ€ข Partner across the org: align with Sales, CS, Sustainability Advisors, and other product teams to land new capabilities successfully.
Qualifications:
Required:
โ€ข 5+ years of PM experience in B2B SaaS, shipping data platforms, BI tools, or developer-facing APIsโ€”ideally at high-growth startups.
โ€ข Experience building with AI: youโ€™ve shipped AI-powered features or prototyped with LLMs, not just talked about it.
โ€ข Hands-on intuition for what works, what hallucinates, and where AI genuinely changes the product.
โ€ข Ability to think like a data platform PM: schema design, query performance, flexibility vs. structure.
โ€ข Ability to go deep with customers: you can spend a morning in SQL notebooks, then jump on a call to map a CSOโ€™s workflow.
โ€ข Ability to thrive in ambiguity: you turn fuzzy, conflicting inputs into a clear product vision.
โ€ข Ability to communicate with precision: one-pagers, API docs, roadmap presentationsโ€”you make complex ideas simple.
Company:
Watershed serves as an enterprise climate platform utilized by companies to assess, report, and address their carbon emissions. Founded in 2019, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.