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.
Engagement Manager
Deploy is looking for a well-rounded Engagement Manager to oversee the successful execution of our diverse set of Deploy Data projects that are crucial in helping companies to incorporate AI into their business. As an Engagement Manager at Deploy, you will work closely with the delivery team as well as executive stakeholders to manage several client projects at a time and provide direction and insights throughout the project cycle. You will provide support in a variety of key activities, including project execution and management, improvement of key processes within the delivery team, implementation of systems and structure, and development of team productivity metrics. Our ideal candidate has strong generalist skills and a proven background of leadership. A passion for startups and AI is a must.
Responsibilities
- Plan, manage, and execute client projects flawlessly through collaboration with business and engineering team members
- Actively look for ways to improve upon and optimize existing procedures, systems, and processes
- Manage members on the delivery team by setting achievable short-term and long-term goals, helping to prioritize team focuses, and providing effective feedback
- Implement effective reporting and productivity goals, ensuring metrics are useful, visible, and streamlined
- Interface with clients as necessary to move projects forward
- 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
- You have 3-5 years of work experience at a top consulting or banking organization, or project management / operations experience at a fast-growing start-up
- You have a strong history of leadership; you take initiative and manage others in a way that promotes growth and efficiency
- You have strong communication skills and instinctively make analytical decisions based on numbers
- You have client-facing experience and a proven ability to engage with clients when necessary
- You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat
- You are energetic, resourceful, and driven, and have the ownership to thrive in an unstructured environment
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 $90,000 - $160,000. 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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