Senior Technical Program Manager

February 15

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SafelyYou

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SafelyYou is a company specializing in innovative AI-driven solutions for senior care, focused on reducing falls and fall-related emergency room visits in senior living communities. Their products, including SafelyYou Respond™, Guardian Pro™, Aware™, and Clarity™, offer advanced capabilities for monitoring and improving the safety and well-being of elderly residents without the need for wearables. SafelyYou partners with senior living communities to drive occupancy, elevate care standards, and improve clinical outcomes by providing tools for fall management, staffing efficiency, and care delivery insights. The company's technology platform has been proven to increase the length of stay, enhance operational efficiency, and support comprehensive care delivery across numerous residential facilities.

Artificial Intelligence • Alzheimer's Disease • Senior Living • Assisted Living • Memory Care

51 - 200 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🧘 Wellness

📋 Description

• Lead and oversee DataOps initiatives, manage cross-functional projects, and act as the bridge between Product Waterfall schedules and R&D Agile workflows. • Drive the orchestration of data pipelines between our team of annotators and our Researchers, ensuring the efficient, scalable, and secure handling of our data. • Oversee the creation, management, and optimization of our annotated datasets to support analytics, machine learning, and R&D initiatives. • Collaborate with Data Engineering and Analytics teams to establish robust data governance and quality assurance processes. • Lead complex, high-impact R&D projects across multiple teams, ensuring clear communication, alignment, and execution. • Manage project dependencies, risk mitigation, and stakeholder expectations to drive successful delivery. • Develop and maintain project roadmaps, timelines, and budgets to ensure on-time and cost-effective execution. • Serve as the liaison between Product teams and R&D teams by ensuring seamless integration and communication of our strategic projects into the R&D development flow. • Work with product managers, scrum masters, and engineering managers to translate quarterly roadmaps into executable pieces of work with clear milestones and timelines. • Identify bottlenecks and proactively resolve conflicts between structured product planning and iterative R&D processes.

🎯 Requirements

• 8+ years of program management experience in technology, software, or data-focused environments. • Experience in managing annotation pipelines and collaborating with Data Scientists and annotation teams to build annotated AI training datasets • Expertise in cross-functional project leadership, managing dependencies across multiple teams and disciplines. • Experience bridging Waterfall product roadmaps with Agile R&D team's methodology, ensuring smooth collaboration. • Proficiency in project management tools (JIRA, Confluence, Smartsheet, etc.) and Agile methodologies (Scrum, SAFe, Kanban). • Excellent communication and stakeholder management skills, with the ability to translate technical complexities into actionable plans. • Strong analytical and problem-solving abilities with a data-driven mindset. • Knowledge of AI data annotation best practice • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and big data technologies. • PMP, CSM, or SAFe Agile certification preferred

🏖️ Benefits

• A mission-driven company culture • Work on cutting-edge DataOps and R&D initiatives that shape the future of our technology. • Lead impactful cross-functional programs with high visibility across the organization. • Be the key driver of synchronization between Product and R&D, ensuring seamless execution. • Fully remote • Stock Options • Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, Vision and Life Insurance • 401K Program • Company laptop • Monthly Education, Well-being & WFH stipends • Unlimited PTO • Growth Potential • Company Retreats • Medical & Family/Parental Leave