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Hive

Analyst, Media & Sports

San Francisco, California, United States

Location
San Francisco, California, United States
Work
On-site
Employment
Full-time
Level
Not stated
Function
Operations
Pay
$60K – $85K a year (read from the ad)
Posted
3 weeks ago

About the role

About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughput. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.

Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

Analyst, Media & Sports

We are looking for talented candidates to join our Deploy Media team, a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered products. As an Analyst, you will work closely with the Deploy Media & Sports team to support delivery and growth of our media business. You will be expected to keep up with multiple projects at a time and apply your strong quantitative skills to analyze priorities, metrics, and client solutions and strategies. This is a great opportunity to be an integral part of a fast-growing startup, and you’ll be able to learn the ins and outs of how to support a team of innovative leaders who relentlessly pursue the best experience possible for all of our clients.

Responsibilities

  • Conduct internal and external analysis on Deploy offerings to refine solutions and commercialization strategies
  • Communicate outcomes of various projects and analytics to ensure growth and development of business goals
  • Collaborate with machine learning and engineering teams in developing working solutions that benefit the client
  • Enhance awareness in the targeted business community of Deploy and our products / services
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements

  • You have a Bachelor's degree
  • Preferred: You have 0-1 years of work experience
  • Excellent written and verbal communication skills
  • You have demonstrated success in a competitive environment
  • You are highly self-motivated and ambitious in achieving goals
  • Strong team player, but can work and execute independently
  • You’re driven; no one needs to push you to excel; that’s just who you are
  • You are hungry to learn and you actively look for opportunities to contribute
  • You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest-growing AI startups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Deploy and we hope to meet you soon!

The current expected base salary for this position ranges from $60,000 - $85,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Source

Posted by Hive on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 02:11 UTC; the original is the reference.

View the original ad ↗

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