- 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
- 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
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Engineering Manager - San Francisco, United States - Hive
Description
About HiveHive is the leading provider of cloud-based AI solutions for content understanding, trusted by the worlds largest, fastest growing, 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 applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hives solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI
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
Requirements
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, 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 Hive 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 candidates 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.