The Product Manager will oversee product execution, define product requirements, manage enterprise projects, and collaborate with teams to ensure quality delivery.
About Hive
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 applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s 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!
Product Manager, Hive Data Role
The Hive Data team plays a central role at Hive in enabling massive amounts of data to be labeled in an accurate, efficient, and scalable way. You'll take a critical part in improving a platform of services and tools used by millions, and which is paramount to the success of bleeding edge ML products and research.
As a Product Manager, you will be an essential part of the Hive team, working effectively across all disciplines to build, launch, and iterate. You will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design. You will play a central role in helping each team succeed and promoting productivity, efficiency, risk management, and continuous improvement. You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects.
Responsibilities
- Oversee product execution from inception to delivery
- Gain deep understanding of our enterprise customers’ needs
- Mock up concepts, write specs, cut tickets, write copy and do whatever it takes to ship your products
- Work closely with teams comprised of engineers, designers, sales, and play a critical role in planning of projects to ensure the timely delivery of quality products and features
- Help teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans
- Work with teams to drive alignment, remove blockers, anticipate and make tradeoffs, and balance business needs against technical constraints throughout project lifecycles
- Facilitate the resolution of timing conflicts, project collisions, and resourcing constraints, and identify and remove bottlenecks
- Work with leadership to determine top priorities and ensure development work reflects those priorities
- Communicate plans, status, risks (and mitigations) to all stakeholders, escalate urgent issues appropriately and drive them to closure
- Measure engineering velocity, and help identify and establish new best practices to improve the speed and security at which projects are delivered
- Hold yourself and team members accountable to timelines
- 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
- BA / BS, preferably in computer science or a related technical field
- A track record of building web products, preferably in a startup or fast-paced environment
- You have technical experience with any of the following: data, analytics, design or engineering
- Technical depth that lets you understand tradeoffs and ask engineers insightful questions about architecture and product decisions alike
- Strong quantitative background to support data-informed decision making
- Experience working with engineering, design, and customers in enterprise software or related technical fields
- Experience leading a team, and effectively implementing team goals and deadlines
- Detail oriented; organized; collaborative; hands on
- Exceptionally clear and precise communication skills
- Self-starter, capable of staying on track while pursuing solutions with minimal supervision
- Ability to work under pressure, meet deadlines, and handle multiple projects simultaneously
- You are comfortable with — and can thrive in — an environment that is constantly changing, frequently uncertain, and at times chaotic
- You can turn incomplete, conflicting, or ambiguous inputs into solid action plans
- Beyond just shipping new products, you obsess about continuous product improvement
Who We Are
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 $120,000 - $170,000. 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.
Top Skills
Analytics
Data
Software Engineering
Hive San Francisco, California, USA Office
575 Market St, 15th Floor, San Francisco, CA, United States, 94104
Similar Jobs
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Configuration Analyst will partner with various teams to manage configuration changes, ensuring integrity and traceability in a dynamic engineering environment. Responsibilities include coordinating design changes, conducting audits, and driving continuous improvements in configuration management processes, utilizing Teamcenter and other tools.
Top Skills:
Cad And Plm PackagesConfluenceJIRATeamcenter
.png)
eCommerce • Food • Sales • Software
The Account Manager focuses on managing merchant accounts to enhance customer experiences and ensure satisfaction within Grubhub's diverse network.
.png)
eCommerce • Mobile
As a Brand Media Manager, you'll drive brand awareness and growth through media planning, buying, and optimization across digital, TV, audio, and OOH channels, collaborating with creative and analytics teams.
Top Skills:
Audio AdvertisingDigital MediaOut-Of-Home AdvertisingTv Advertising
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
