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Role description

Engineering Manager

Hive logoHive
TypeFull-time
WorkplaceOn-site
SeniorityMid-level
Salary$160,000–$250,000
LocationSeattle, WA
Posted10/15/2026
Engineering

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.

Engineering Manager Role

In order to execute our vision, we're constantly growing our engineering team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets, are interested in learning new technologies at all levels of the stack, and move fast and take ownership of their projects.  Our ideal candidate has experience managing a team of engineers working on infrastructure projects of a massive scale, contributes innovative ideas and ingenious implementations to the team, and is capable of mentoring junior engineers through their journey to become better.

Responsibilities

  • Interface closely with product management, machine learning, QA, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a development team of highly capable and passionate engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy
  • Drive delivery for our product milestones, continually releasing features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • 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

  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience developing software as an engineer, with experience in distributed systems and large scale application development a plus
  • 3+ years experience managing engineering teams. Familiar with several programming languages, frameworks, and technologies such as Node, C++, Scala/Spark, SQL, Cassandra, Docker, etc
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Have experience collaborating with product managers and QA in delivering product features

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 $160,000 - $250,000. 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.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.

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Company info

Hive logo

Hive

Proprietary AI solutions to understand, search, and generate content

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software powered by proprietary AI models and datasets, unlocking breakthrough applications for critical business needs with deep learning and generative AI. Collectively, Hive's technology is transforming approaches to platform integrity / content moderation (including AI-generated content detection), brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M from leading investors, including General Catalyst, 8VC, Tomales Bay Capital, and Glynn Capital. In April 2021, Hive announced a $50M Series D at a $2B valuation. The San Francisco-based company has 200+ full-time employees global

Private companySeries EMega roundHiring fastAI-product
Unlock human wisdom
ThesisTermsPrivacy
Founded2013
HQSan Francisco, United States
Size201-500 employees
IndustrySoftware Development
Funding
  • Series E · $150M · May 4, 2026
  • Series D · $50M · Apr 21, 2021
Investors
Glynn Capital Management

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