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Product Manager

Posted 3 days ago

We're Walter! Just a bunch of passionate people on a mission to change the way businesses hire remote talent!  We connect talented professionals like you with amazing companies around the world—helping you land your dream role while empowering businesses to scale with exceptional global talent.

We believe great work can happen from anywhere! Explore our open positions and apply today!

Happy Fun Corp is looking for a Technical Product Manager with a background in software development and a curiosity (or hands-on experience) in enabling technologies. In this role, you'll partner with clients and internal teams to define strategy, build execution plans, and bring complex digital products to life on time & within budget.

Job Responsibilities:

  • Drive client engagements from ideation through launch, collaborating with both executive and operational stakeholders to align vision & capabilities.

  • Define product roadmaps, timelines, and resource plans, ensuring on-time and on-budget delivery of high-impact digital products.

  • Lead cross-functional teams (design, engineering, QA), ensuring alignment between product vision and technical execution.

  • Communicate project status, risks, and tradeoffs clearly across stakeholders to maintain transparency and momentum.

Job Requirements:

  • 10+ years in technical roles such as Product Management, Engineering, or Solutions Architecture, with experience across the full product lifecycle.

  • Proven ability to lead distributed, cross-functional teams and manage highly technical projects (e.g., API-first products, multi-cloud systems, Infrastructure modernization).

  • Strong foundation in cloud platforms (AWS, GCP, Azure) and a clear understanding of how infrastructure supports scalable applications.

  • Excellent communicator and problem solver, able to balance technical depth with stakeholder needs, constraints, and business goals.

Strongly Preferred:

Experience with AI/ML products or technologies, such as LLMs, predictive models, or intelligent automation tools beyond testing or POCs.

Familiarity with responsible AI practices, ethical data use, or emerging tech.

Ability to bridge technical innovation and business value in fast-evolving technology landscapes.


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