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The Senior Technical Program Manager (TPM) for Roku Voice will own the planning and execution of complex, cross‑functional programs that deliver high‑quality voice features and infrastructure at scale. You will be the central coordination point across Voice Engineering, UX, PM, Analytics, QA, and external partners, ensuring that priorities are clear, roadmaps are realistic, and launches are smooth.
Job Responsibility:
Lead end‑to‑end planning and execution of major Roku Voice programs (e.g., new voice capabilities, regional expansions, infrastructure upgrades), from concept through launch and post‑launch iteration
Own program structure: requirements, milestones, dependencies, risk management, communication plans, and status reporting across engineering, analytics, QA, and partner teams
Drive alignment on priorities and scope across teams
ensure that upstream and downstream dependencies are understood and managed
Coordinate with external voice technology partners and internal platform teams, ensuring integration plans, SLAs, and release timelines are well defined and met
Track progress of builds, engineering changes, and issue closures with urgency and attention to detail
Establish and continuously improve program management processes and tooling for the Voice org
Communicate clearly and crisply at all levels of the organization, from engineers to VP+ stakeholders, including regular status, risks, and trade‑offs
Anticipate and surface risks early
drive mitigation plans and make data‑informed recommendations on resourcing, sequencing, and scope
Requirements:
5+ years of technical program management, engineering management, or equivalent experience delivering complex software or ML‑driven products
Demonstrated experience leading cross‑functional programs that span multiple engineering disciplines (e.g., backend services, ML, data, or platform teams)
Strong familiarity with at least one of: machine learning, speech/ASR, NLU/NLP, or large‑scale data/experimentation
Proven track record of driving programs from inception to launch, including requirements definition, roadmap planning, risk management, and post‑launch iteration
Excellent communication and stakeholder management skills
Hands‑on experience with modern program management and collaboration tooling, including the use of GenAI
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Nice to have:
Experience in consumer devices, streaming, voice assistants, or other user‑facing ML products
Experience working with geographically distributed teams and external technology partners
What we offer:
Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Time off work for vacation and other personal reasons