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Data & AnalyticsOn-site

Client Delivery Analyst

Hive · On-site

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from Hive's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
Not listed by source
Location
San Francisco

Hiring context

How this role compares at Hive

Hive has 75 live roles in MeritLog’s catalog across 12 job families, and 22 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

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Job description

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Client Delivery Analyst We are looking for an eager and motivated delivery analyst to join our Client Delivery team. At Hive, our Client Delivery team is responsible for commercial delivery of all the groundbreaking technology we have built. As a Client Delivery Analyst, you will be responsible for consistently delivering and executing projects within our Hive Data platform. Day to day, you will be managing multiple projects at a time by analyzing priorities, metrics, and deliverables. Our ideal candidate is interested in learning the ins and outs of a fast growing startup, as they will play an essential part in the business lifecycle. You will also have the opportunity to work in a collaborative and close knit team. This is a great opportunity to see how a high growth startup functions in action.

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