The Role
Analyze Deploy’s media and sports offerings, priorities, metrics, client solutions, and commercialization strategies. Support multiple projects, communicate analytical findings, collaborate with machine learning and engineering teams, and contribute to business growth and client outcomes. The role also involves monitoring industry practices, protecting information assets, and supporting awareness of Deploy’s AI-powered products among target media, sports, agency, and advertiser communities.
Summary Generated by Built In
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 throughout. 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.
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.
Skills Required
- Bachelor's degree
- 0-1 years of work experience
- Excellent written and verbal communication skills
- Demonstrated success in a competitive environment
- Highly self-motivated and ambitious
- Ability to work effectively as part of a team and independently
- Strong willingness to learn and actively contribute
- Highly organized and detail-oriented, with the ability to manage multiple projects and changing priorities
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The Company
What We Do
Hive is the leading provider of cloud-based enterprise AI solutions to power the next wave of intelligent automation. The company offers a portfolio of best-in-class deep learning models, built with consensus-validated training data sourced and annotated by a distributed workforce of more than 2 million registered contributors. Hive's APIs enable use cases including automated content moderation, contextual advertising, advertising and sponsorship measurement, document parsing, and more. Hive processes billions of API requests per month for many of the world’s largest and most innovative companies. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Jericho Capital, Bain & Company, Visa Ventures, and others. In April 2021, Hive announced a $50M Series D at a $2B valuation. The San Francisco-based company has 175+ full-time employees globally, in addition to a distributed workforce of more than 2 million global contributors that supports data labeling operations. For more information, visit thehive.ai.
