As a Technical Program Manager, you will operate with a high degree of autonomy, setting the standard for program execution across the organization. You will be a trusted partner tosenior engineering and product leadership, driving strategic initiatives that span multiple teams, systems, and business lines.
Responsibilities:
- Lead end-to-end program management for large-scale, multi-team engineering initiatives with significant business impact, from strategy through delivery
- Serve as a strategic partner to VP- and Director-level engineering and product leaders, influencing roadmaps, resourcing decisions, and organizational priorities
- Define and evolve program management frameworks, processes, and best practices across the engineering organization
- Drive alignment across complex dependency landscapes involving multiple teams, external partners, and competing priorities
- Anticipate and proactively manage risks, escalations, and trade-offs at a program and portfolio level
- Communicate clearly and confidently to executive audiences – translating technical complexity into business impact and vice versa
- Actively participate in architectural and technical scoping discussions, providing informed input on feasibility, sequencing, and delivery risk
Requirements
- 7+ years of experience in technical program management, with a proven record of delivering complex, org-wide engineering programs
- Deep expertise managing multi-team software programs across the full SDLC, including large-scale platform, infrastructure, or product initiatives
- Strong technical foundation – able to engage credibly in architectural discussions, understand system design trade-offs, and evaluate technical risk
- Exceptional communication and executive presence – skilled at influencing without authority and navigating organizational dynamics
- Experience building or improving program management processes and tooling at an organizational level
- Proven ability to manage ambiguity, drive clarity, and make sound decisions under pressure in fast-paced environments
- Ability to use AI tools to make informed technical decisions regarding a given design or code changes
- Knowledge of how agentic AI models work and how to execute programs with AI chatbots
- Technical expertise in understanding the following technologies
- Wireless Technologies – 4G/5G/Multi-WAN Load Balancing
- Networking Technologies – UDP/TCP, NAT Traversal, Network Security (mTLS, etc.)
- Data Pipelines – Experience with Kafka (kafkajs), Protobuf serialization, and AWS cloud infrastructure (API Gateways)
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