Responsibilities
- Drive the execution of the company's long term vision and goals
- You will own one or more business-critical systems, working closely with cross-functional partners in developing the engineering vision and roadmaps for the organization
- Directly influence senior engineering talent in decision making for the entire organization
- Interface closely with product management, machine learning, QA, and sales teams to build roadmap in supporting the long term vision of the team
- Define and oversee high level security protocols to ensure organizational objectives are achieved
- Growing and structuring engineering teams and 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
- You have an 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
- 2+ years experience managing engineering teams, with experience managing other managers a plus
- Are familiar with several programming languages, frameworks, and technologies such as Node, C++, Scala/Spark, SQL, Cassandra, Docker, etcAre experienced in building and maturing engineering teams and infrastructure in a start up environment
- Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
- You have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
- You have experience collaborating with product managers and QA in delivering product features
Top Skills
What We Do
Hive is the leading provider of cloud-based enterprise AI solutions to power the next wave of intelligent automation. The company offers a portfolio of best-in-class deep learning models, built with consensus-validated training data sourced and annotated by a distributed workforce of more than 2 million registered contributors. Hive's APIs enable use cases including automated content moderation, contextual advertising, advertising and sponsorship measurement, document parsing, and more. Hive processes billions of API requests per month for many of the world’s largest and most innovative companies.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Jericho Capital, Bain & Company, Visa Ventures, and others. In April 2021, Hive announced a $50M Series D at a $2B valuation. The San Francisco-based company has 175+ full-time employees globally, in addition to a distributed workforce of more than 2 million global contributors that supports data labeling operations. For more information, visit thehive.ai.








