Senior Technical Program Manager

About Us

At Netradyne, our team is committed to delivering solutions to our customers that advance their market leadership. Our focus is to continuously drive innovation, while delivering meaningful actionable data. The Netradyne Driveri Vision-Based Driver Recognition Safety Program significantly advances the technology category through the application of Artificial Intelligence, Machine Learning and Edge Computing. The foundations of Driveri are equally focused on providing comprehensive performance insights, highlighting positive activity as well as significantly reducing the resources needed to address risk. Netradyne draws from a diverse team of innovators, technologist, and customer advocates to create an experience where customer success continues to motivate what is next.

Supported and funded by our investors, M12, Hyundai Cradle, Point72 Ventures, SoftBank and Reliance Industrial Investments and Holdings; Netradyne is committed to building a world-class team of technologists and industry experts to deliver product that improve safety, increase productivity, and optimize collaboration within the organizations. With growth exceeding 3x year over year, our solution is quickly being recognized as a significant disruptive technology that has put legacy providers in a spin cycle trying to catch up. Our team is growing, and we need forward thinking, uncompromising, competitive team members to continue to facilitate our growth.

Senior Technical Program Manager Analytics

Location Bangalore

Working Model Working from Office

Reporting -This role reports to the Director Analytics and will be a key member of the Program Management function.

Role Overview

We are looking for a highly experienced Senior Technical Program Manager to lead strategic and technical initiatives across our AI/ML product portfolio. This role will drive product development, customer success, and internal program execution in a fast-paced, innovation-driven environment. You will serve as the bridge between business needs and engineering execution, ensuring alignment, scalability, and impact.

Key Responsibilities

Program & Product Leadership

• Drive end-to-end execution of strategic programs including new product development, enhancements, and customer deliverables.
• Lead cross-functional planning and delivery across engineering, analytics, data science, product, and operations teams.
• Translate business requirements into technically feasible solutions and actionable roadmaps.
• Manage program schedules, accounting for the iterative nature of AI/ML development lifecycles and aggressive time-to-market goals.
• Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients.

Customer & Stakeholder Engagement

• Serve as the primary point of contact for key customer accounts, ensuring successful delivery and satisfaction.
• Respond to technical questionnaires and RFPs for large prospects, aligning solutions with customer needs.
• Communicate extensively with internal and external stakeholders across geographies and functions.
• Build strong relationships to foster collaboration and translate business goals into technical capabilities.
• Provide proactive updates to senior leadership on program health, risks, milestones, and strategic alignment.

Technical Program Management

• Collaborate on solution architecture and ensure technical feasibility of proposed solutions.
• Develop deep expertise in the company's AI/ML product architecture and act as SME for published and upcoming features.
• Oversee data annotation workflows including quality, productivity, and logistics.
• Apply statistical and ML expertise to map ambiguous requirements to measurable outcomes and key metrics.
• Be able to drive client value. Collaborate with a diverse group of client stakeholders to align project vision, Develop and refine the vision for a next-generation analytics/data engineering/AI/GenAI/Agentic AI products and platforms
• Facilitate strategic decision-making and problem-solving, balancing technical constraints with business needs.

Operational Excellence

• Define and track KPIs to measure program success, drive accountability, and foster continuous improvement.
• Track Agile/Scrum metrics such as velocity, sprint burndown, cycle time, and team capacity to monitor delivery health and identify areas for improvement.
• Optimize resource allocation across teams to ensure timely delivery and scalability of AI/ML solutions.
• Champion a culture of innovation, agility, and operational excellence by identifying and implementing process improvements.
• Navigate ambiguity and lead change management efforts to adapt programs to evolving priorities and market conditions.
• Manage scope, change requests, and delivery timelines across distributed teams and partners.
• Deliver executive-level reporting and governance artifacts that highlight program impact and strategic alignment

Essential Skills & Experience

• 12+ years of overall experience in program management, with at least 7+ years in SaaS or AI/ML environments.
• Proven track record in delivering enterprise-scale software and data platforms.
• Strong understanding of AI/ML technologies, scalable architectures, APIs, webhooks, and public cloud infrastructure.
• Experience with Edge computing, ETL pipelines, and data analytics.
• Expertise in Agile, Scrum, SAFe, and hybrid methodologies.
• Deep understanding of Scrum fundamentals including sprint planning, backlog grooming, daily stand-ups, sprint reviews, and retrospectives.
• Skilled in tracking and interpreting Agile metrics such as velocity, burndown charts, and cycle time to drive team performance.
• Ability to coach and mentor teams on Agile best practices and foster a culture of continuous improvement.
• Ability to lead complex programs independently under tight deadlines.
• Strong interpersonal and influencing skills to build trust across teams and leadership.
• Exceptional verbal and written communication skills.
• Experience managing globally distributed teams and virtual collaboration.
• Solid understanding of SDLC, product security, and cloud architecture.
• Ability to coach teams on best practices and agile processes.

Qualifications

• BTech/MTech in Computer Science or related field.
• PMP, CSM, SAFe, AWS certifications are a big plus.