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.
Business Operations Associate Role
We are looking for a talented leader to oversee business operations at Deploy. As a Business Operations Associate, you will be assisting the executive team with a variety of key activities, including improving existing processes and procedures to create effective structures for growth, implementing effective reporting and productivity goals for various teams, and tackling high impact ad hoc projects touching various company functions. Our ideal candidate has strong generalist skills, a proven background of leadership in a high-pressure environment, and an enthusiasm for digging deep into the metrics of various operations. They are able to step into any role and help out with any project as needed. A passion for startups and AI is a must.
Responsibilities
- Assist in executing operational and strategic initiatives; help set short-term and long-term goals to drive company growth
- Be the operations lead in managing and delivering projects; supervise surrounding business operations activities and assist when needed
- Implement and oversee effective reporting and productivity goals for various teams, ensuring metrics are useful, visible, and streamlined
- Synthesize feedback from functional teams, customers, partners, and other stakeholders to identify challenges as well as optimization opportunities
- Actively look for ways to improve upon existing procedures, systems, and processes
- Act as a generalist in getting anything and everything done to help the company grow
- 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 in a quantitative discipline
- You have 1 - 3 years of work experience at a top consulting or banking organization
- You take initiative to direct your own days, identify worthwhile projects, and take actionable steps to accomplish goals
- You are energetic, resourceful and driven, and have the ownership to thrive in an unstructured environment
- 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 $60,000 - $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.