Delivery Manager
Factored
Delivery Manager
Factored
End-to-end AI talent augmentation services
Fully remote | Complete engagement job
Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
We are looking for a strategic and results-driven Delivery Manager to lead the planning, execution, and delivery of high-impact, complex projects. You will be responsible for the full project lifecycle, ensuring that technical and business objectives are met while driving high-level strategy and cross-functional alignment. This position is ideal for a seasoned leader who excels at managing ambiguity, mitigating risk, and mentoring teams to deliver excellence at scale.
Functional Responsibilities:
Qualifications:
Our Benefits:
Factored provides end-to-end talent augmentation for AI, ML, and data science by sourcing, vetting, training, and managing remote engineering teams that integrate as extensions of a client's team. Their engineers, mainly from Latin America, work across all US time zones and can provide technical leadership, hands-on execution, or advisory support to accelerate AI roadmaps for US-based companies. They organize experts into Centers of Excellence (AI/ML, Data Science, Data Analytics, Data Engineering, Software Engineering) and apply projects like personalized recommendations, fraud detection, credit risk models, and automated data pipelines. Their differentiation comes from focusing exclusively on AI/data, using a vetted upskilling program developed with Stanford and deeplearning.ai, and offering nearshore talent with seamless integration to clients, with a goal to help organizations scale AI/data capabilities quickly and cost-effectively.
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