Technical Platform Product Manager
Listed on 2026-01-16
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IT/Tech
Data Science Manager, AI Engineer
Description
Wowza powers the world’s leading live and on‑demand streaming experiences.
From global events and enterprise broadcasts to AI‑powered video intelligence at
the edge, Wowza provides the most trusted, extensible, and developer‑friendly
streaming platform on the market.
As we move into the next era of streaming, we are expanding our product
organization with builders who combine technical depth, analytical rigor, and a
customer‑first mindset.
The RoleThe Technical Product Manager (TPM) translates customer insights and data
analytics into actionable engineering plans that drive measurable business
outcomes. This role sits at the intersection of Product, Engineering, and Customer
Success, ensuring every initiative is prioritized through data, executed efficiently,
and aligned with Wowza’s strategic goals.
You will balance strategic roadmap definition with hands‑on delivery coordination,
working to remove blockers, optimize workflows, and back every decision with
evidence, from product telemetry to win‑loss insights. The TPM will lead initiatives
that enhance visibility, accountability, and execution across the product lifecycle,
ensuring Wowza’s innovations reach market efficiently and deliver real customer
impact.
What You’ll DoData‑Driven Roadmap & Prioritization
Use product telemetry, analytics, and customer feedback to define priorities and validate roadmap decisions.
Partner with Product and Engineering leads to ensure each initiative is justified by measurable data such as usage trends, customer outcomes, or revenue impact.
Program Execution & DeliveryTranslate product strategy into clear technical milestones and delivery plans.
Track engineering progress using Agile tools (e.g., Jira, Confluence) and.str()
Maintain visibility into scope, risks, and timelines.
Define and monitor KPIs (velocity, on‑time delivery, quality metrics) to ensure engineering work aligns with company objectives.
Cross‑Functional AlignmentAct as the bridge between Customer, Product, Engineering, Sales, and Support to maintain shared understanding of priorities and timing.
Lead communication and status reporting for internal stakeholders and
executives, using data‑driven updates that highlight customer and business
outcomes.
Workflow OptimizationIdentify bottlenecks across the delivery process and drive continuous
improvement using retrospectives and metrics.
Implement scalable frameworks for estimation, risk management, and
dependency tracking across multiple teams.
Customer‑Centric OutcomesLeverage win‑loss insights, support feedback, and field data to ensure
features directly improve customer experience and market competitiveness.
Partner with Customer Success to quantify adoption, retention, and
satisfaction improvements tied to product releases.
Resource PlanningCoordinate with engineering management to ensure optimal team capacity
and prioritization.
Balance short‑term delivery pressure with long‑term product scalability and
technical excellence.
What You Bring5+ years in Technical Program or Product Management within a software or SaaS
environment (streaming experience preferred).
Proven ability to use data and telemetry to drive decisions and measure results.
Experience managing Agile development life cycles and working closely with
engineering teams.
Strong analytical mindset with the ability to define KPIs, interpret trends, and
make recommendations grounded in evidence.
Excellent communication skills across technical and business audiences; able
to translate between product vision and engineering execution.
Technical fluency in APIs, SDKs, and modern cloud infrastructure.
Familiarity with streaming technologies such as HLS, WebRTC, RTMP or SRT.
Leadership experience driving accountability and alignment across multiple
teams.
Strong PlusExperience deploying and using on‑premises streaming media platforms.
Familiarity with product analytics tools (Post Hog, Pendo, GA4) for telemetry and performance tracking.
Experience with computer vision, AI, or machine learning in streaming or video analytics.
Experience with containerized or edge deployments (Docker, Kubernetes).
Benefits & Perks- Competitive base salary: $70,000 – $120,000
- Generous Paid Time Off
- Medica…
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