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.   People Operations Team   Deploy is looking for a dedicated and self-motivated People Operations Generalist to join our People Team. We are building a team of world class talent and are looking for an organizational powerhouse who can collaborate with multiple internal teams and stakeholders. You will manage our full employee life-cycle, including onboarding, internal operations and employee experience. As a People Operations Generalist, you will have a front row seat and a direct impact on the next phase of our growth. Our ideal candidate is passionate about innovation and takes initiative to ensure the health and growth of our employees.

Responsibilities

• Serve as a crucial point of contact between executive leadership and employees
• Facilitate all People Operations functions, such as onboarding / offboarding, benefit & compensation administration, visa-related requests, payroll, time off requests, and performance management
• Maintain compliance with local, state, and federal employment laws and regulations
• Facilitate office functions (e.g. inventory, catering, trips, budgeting, and more)
• Build and implement a system to support an inclusive and diverse community throughout the company
• Facilitate and lead employee relations activities, including conducting internal audits and disciplinary meetings
• Plan and direct employee engagement events, which promote a high-performing, inclusive, and mission-driven culture
• 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

• Bachelor's degree
• 2-4 years of Human Resources / People Operations experience, preferably at a high-growth tech company / start-up
• Experience building, maintaining and presenting HR data analytics
• High emotional and social intelligence with experience fostering positive, strong relationships with diverse groups of people
• Excellent verbal and written communication skills that demonstrate a high level of professionalism
• Highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat
• Passionate about people and how they function together to create a valuable organization

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 $75,000 - $100,000. 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.