Product Manager leading development of Hive's data labeling platform for ML products. Collaborates with engineering, design, and sales to define requirements, manage execution, and drive continuous improvement in a fast-paced startup environment.
Salary not listed
On-siteProduct Management
About the role
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
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
Comfortable with — and can thrive in — an environment that is constantly changing, frequently uncertain, and at times chaotic
Can turn incomplete, conflicting, or ambiguous inputs into solid action plans
Beyond just shipping new products, obsess about continuous product improvement
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