Engagement Manager

About Deploy

About Hive

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.

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.

Responsibilities

• 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 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.
• 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

• Our ideal candidate has strong generalist skills and a proven background of leadership.
• A passion for startups and AI is a must.

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

Pay

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.

Benefits

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