Technical Product Manager

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. 

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
- Mission-Driven: We focus on creating economic and social impact.
- People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
- Innovative: We embrace change and find better ways to do things together.
- Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!

Role Summary

As a Technical Product Manager, you will operate as a true "Builder-PM" sitting directly at the intersection of strategic product leadership and hands-on technical execution. In this role, you will drive product vision, roadmaps, and stakeholder alignment while actively working with our data engineering infrastructure from a programmatic perspective. You will leverage Apache Spark and hands-on coding to develop highly scalable data flows that process image annotation data for client Machine Learning algorithms. Serving as a Subject Matter Expert (SME) across our platform and technical capabilities, you will receive ongoing mentorship from our experienced data engineering and analytics teams as you build high-impact, technical solutions in a fast-scaling, mission-driven environment.

Responsibilities:

Technical & Data Execution
- Develop scalable data flows using Apache Spark to process ML annotation data, working directly with engineering to optimize infrastructure and push continuous technical improvements.
- Design, test, and optimize data engineering code and workflows alongside core developers.

Product Strategy & Lifecycle
- Maintain product roadmaps aligned with organizational objectives and oversee end-to-end feature rollout and adoption.
- Analyze in-life product metrics, performance usage data, and health indicators to determine long-term strategic direction.

Stakeholder & Team Leadership
- Serve as the platform Subject Matter Expert (SME) and manage support channels for effective issue triage across cross-functional teams.
- Drive alignment between technical engineering teams and business stakeholders, mentor junior team members, and foster a collaborative environment.