
11 - 50 employees
đź Consulting
đĽ Healthcare
đŚ Logistics
Consulting ⢠Healthcare ⢠Logistics
HopHR is a recruitment company specializing in matching top-tier Machine Learning, AI, Data Science, and Big Data talent with companies ranging from startups to Fortune 500 enterprises. The company boasts a streamlined hiring process facilitated by an innovative AI-powered platform that ensures a high submission-to-interview rate. HopHR champions diversity-centric recruitment, actively sourcing diverse talent pools in the ML/AI and data sectors, placing a significant focus on female tech talent. Its services include recruitment outsourcing and building diverse talent pipelines, primarily serving sectors like healthcare, finance, and technology. HopHR's platform integrates AI sourcing tools and matching algorithms, facilitating a quick and efficient hiring process.
đ August 13
Where this job comes from
Posted on HopHR's careers page, not through a job board
First seen by Remote Rocketship August 13
Still open on HopHR's site. Checked 6 hours ago.

11 - 50 employees
đź Consulting
đĽ Healthcare
đŚ Logistics
Consulting ⢠Healthcare ⢠Logistics
HopHR is a recruitment company specializing in matching top-tier Machine Learning, AI, Data Science, and Big Data talent with companies ranging from startups to Fortune 500 enterprises. The company boasts a streamlined hiring process facilitated by an innovative AI-powered platform that ensures a high submission-to-interview rate. HopHR champions diversity-centric recruitment, actively sourcing diverse talent pools in the ML/AI and data sectors, placing a significant focus on female tech talent. Its services include recruitment outsourcing and building diverse talent pipelines, primarily serving sectors like healthcare, finance, and technology. HopHR's platform integrates AI sourcing tools and matching algorithms, facilitating a quick and efficient hiring process.
⢠Deliver Smart Care solutions within timebound commitments to achieve business value ⢠Create clarity around Squad priorities, expectations, and shared outcomes ⢠Own and prioritize the product backlog while balancing near-term commitments and long-term value ⢠Run day-to-day planning and Agile ceremonies and coordinate dependencies ⢠Create user stories, acceptance criteria, and detailed product specifications with technical captains ⢠Support engineering and data science teams by clarifying requirements and facilitating feasibility discussions ⢠Facilitate cross-team problem solving and balance speed, scalability, and quality trade-offs ⢠Align delivery plans with adjacent solutions to capture cross-portfolio value ⢠Conduct user research, usability testing, and competitive analysis ⢠Collaborate with designers on UX flows, wireframes, and product designs ⢠Define, monitor, and analyze product performance metrics ⢠Support release-management frameworks ⢠Develop strategies for proactive user support and issue resolution ⢠Support business case development and roadmap planning with stakeholders and leadership ⢠Influence decisions, build alignment, drive adoption, and facilitate continuous improvement ⢠Identify applications of emerging analytics, data platform, AI/ML, and digital technologies ⢠Evaluate and introduce tools, frameworks, and methodologies to improve analytics product delivery and innovation
⢠7+ years' experience in Product Management or Technical Product Management ⢠5+ years' experience running day-to-day product execution with Data Science and/or Engineering teams ⢠3+ years' experience working with SMEs to uncover nuances in ambiguous business problems and operational processes ⢠3+ years' experience with stakeholder management ⢠3+ years' demonstrated ability to drive outcomes in a complex environment ⢠2+ years' experience building capabilities leveraging AI, ML, or other advanced analytics ⢠Strong verbal and written communication skills ⢠Interest in leveraging new AI tools and technologies ⢠Excellence in prioritization and aligning senior stakeholders on a unified vision ⢠Strong Excel, SQL, analytics, and storytelling capability ⢠Proven track record managing successful products through their lifecycle, especially from concept through launch
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