Senior Project Manager, Streaming Intelligence & Data Platform [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Project Manager, Streaming Intelligence & Data Platform based in United States.

This role sits at the intersection of AI, machine learning, and large-scale data platform engineering, driving execution across some of the most strategic initiatives in sports media technology. The Senior Project Manager will be responsible for translating complex product and AI/ML roadmaps into structured, predictable delivery plans across multiple teams and vendors. You will operate in a highly technical environment involving computer vision models, streaming video pipelines, and modern data infrastructure. The role requires close partnership with product leadership to ensure strategic vision is effectively executed through disciplined delivery management. You will also support enterprise data platform modernization, enabling real-time analytics and AI-driven insights at scale. This is a high-visibility position with direct exposure to executive stakeholders and impactful, real-world streaming systems used by millions of users. The environment is fast-moving, highly collaborative, and deeply embedded in AI-driven innovation.

Accountabilities:

• Own end-to-end delivery management for Streaming Intelligence and Data Platform initiatives, translating product and AI/ML roadmaps into structured execution plans with clear milestones, dependencies, and success metrics.
• Partner closely with product leadership to co-plan quarterly and annual roadmaps, ensuring engineering capacity, vendor timelines, and strategic priorities are fully aligned.
• Drive execution of AI/ML pipeline initiatives, including model benchmarking programs, accuracy evaluations, and iterative improvement cycles across computer vision systems.
• Coordinate cross-functional teams across engineering, data, QA, design, and external vendors to ensure alignment, delivery cadence, and timely resolution of risks and blockers.
• Manage delivery of data platform modernization efforts, including real-time streaming capabilities, data governance initiatives, and migration toward scalable analytics architectures.
• Track and report on key KPIs such as model accuracy, latency, content coverage, and adoption metrics, ensuring transparency and early identification of risks or deviations.
• Maintain strong program governance through dashboards, documentation, Jira/Confluence workflows, and executive-level reporting.

Requirements:

• 6–8+ years of experience in program or project management within software, data, or AI/ML-driven environments, with strong understanding of SDLC and PDLC frameworks.
• Demonstrated experience managing complex technical programs involving AI/ML systems, data pipelines, or streaming/media platforms.
• Working knowledge of machine learning concepts such as model evaluation, accuracy tradeoffs, prompt engineering, and iterative model improvement workflows.
• Strong ability to translate product vision into structured delivery plans while managing multiple cross-functional teams and external vendors.
• Excellent communication and stakeholder management skills, with the ability to engage engineers, product leaders, and executive stakeholders effectively.
• Proficiency with Agile methodologies and tools such as Jira and Confluence, with experience driving governance and delivery consistency.
• Experience in AI-augmented workflows and a proactive approach to using automation tools to improve productivity and reporting.

Benefits:

• Competitive salary with equity opportunities (stock options)
• Comprehensive medical, dental, vision, life, and disability insurance
• 401(k) retirement plan with company match
• Open paid time off policy
• Hybrid or flexible remote work environment
• Employee emergency support fund
• Access to cutting-edge AI, ML, and data platform technologies
• Opportunities for professional growth in a high-impact, innovation-driven organization

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.