Supports Deploy’s media and sports business by analyzing offerings, metrics, priorities, and commercialization strategies. Manages client project delivery, bridges clients with product and engineering teams, develops presentations and deal documents, and advises on AI-powered solutions. The role also contributes to client growth, industry awareness, and collaboration with machine learning teams while managing multiple priorities.
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.
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.
Associate, Media & Sports
We are looking for talented candidates to join our Enterprise Analytics team. As an Associate on our Media & Sports team, you will work closely with the Deploy Media team - a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered products - to support delivery and growth of our media business. As an Associate, you will work closely with the Deploy Media & Sports team to support delivery and growth of our media business. Day to day, you will work with existing and potential clients within the media vertical and deliver on Deploy’s offerings to a broad range of Fortune 500 companies and advertisers. 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. You are both the foundation and the catalyst for Deploy’s growth, and you are a key reference for our existing clients and are relentless in delivering on our innovative capabilities.
Responsibilities
- Conduct internal and external analysis on Deploy offerings to refine solutions and commercialization strategies
- Own and manage aspects of client projects and delivery; serve as the critical bridge between our clients and our product teams
- Collaborate with the executive and business teams, as well as engineering, to create client presentations and execute deal documents
- Execute and advise on innovative solutions for clients within our media vertical
- Collaborate with machine learning and engineering teams in developing solutions that work for 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 2-3 years of work experience at a top management consulting firm
- 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 start-ups 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 $100,000 - $120,000. 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.
Similar Jobs
eCommerce • Information Technology • Retail • Industrial
Leads all manufacturing operations for a growing production facility, including production execution, planning, quality, maintenance, process improvement, workforce planning, compliance, and operational readiness. Develops scalable manufacturing systems, capacity strategies, metrics, and management processes while improving productivity, quality, throughput, and cost. Leads managers and functional teams, owns budgets and transformation initiatives, and partners with engineering, supply chain, finance, procurement, HR, and executive leadership.
Top Skills:
Industrial EngineeringLean ManufacturingManufacturing EngineeringOperational ExcellenceS&OpSix Sigma
Artificial Intelligence • Cloud • Information Technology • Consulting
Supports pre-sales engagements for enterprise networking and security solutions. Designs architectures, develops technical recommendations, delivers presentations and demonstrations, conducts proof-of-concept engagements, and contributes to RFP, RFI, and RFQ responses. Partners with sales teams, customers, and technology partners to translate business requirements into solutions, provide technical guidance, and differentiate offerings. Requires strong networking expertise, customer-facing communication, and experience with enterprise campus, branch, WAN, or data center environments.
Top Skills:
AnsibleApstraAWSBgpCcieCcnpContainerizationData Center Fabric ArchitecturesDdos ProtectionDevOpsEvpnGoogle Cloud PlatformIgpsInfrastructure As CodeIpsecJncieJncipJuniperLayer 2 VpnLayer 3 VpnAzureMistMplsNetconfNfvNgfwParagonPythonRoutingSwitchingTraffic EngineeringVirtualizationVxlanYang
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads mechanical design, structural FEA, analysis, testing, and qualification of complex networking systems from concept through production. Responsibilities include chassis and fixture design, simulation-to-test correlation, dynamic testing, tolerance analysis, root-cause investigations, manufacturing support, and corrective action implementation. The role collaborates with ASIC, hardware, manufacturing, suppliers, and cross-functional engineering teams while ensuring structural integrity, reliability, manufacturability, and regulatory compliance.
Top Skills:
3D-Scanning MetrologyAccelerometersAnsys WorkbenchAstm D4169CadEcad-Mcad IntegrationEmcEmiEpdmFeaGd&TGr-63HaltIdf WorkflowsIpc-9704Ls-DynaMdvtNebsSolidworksStrain Gauges
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


