Senior Product Manager, Machine Learning & Data (Platform)

Senior Product Manager, Machine Learning & Data (Platform)

This job is no longer open
About Tala

Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.

By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. 

Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!

Data is at Tala’s core, leveraging advanced machine learning models and services to unlock financial access, choice, and control for the underserved. We are looking for an experienced Product Manager to join the Platform team to drive the platforms and tools to deliver scalable, robust ML products from ideation to execution.


    • Deeply understand our data infrastructure, processes, needs, and business goals to prioritize and own a unified roadmap to deliver machine learning products and services
    • Lead a high-performance, cross-functional team of engineers, data scientists, and analysts to drive execution to deliver measurable results
    • Gather requirements, determine features, and develop product specs that minimize assumptions and ambiguity for developers
    • Drive alignment with a cross functional group of stakeholders including Credit, Business Intelligence, Finance, and Legal
    • Collaborate with the broader PM community on strategy, dependencies, and creating a center of excellence
    • Share product and technical architecture insights and best practices with the broader product guild to help educate and evolve the platform
    • Global travel may be required.


    • 4+ years product experience in technical product management plus experience in a related field
    • An understanding of modern data science machine learning approaches and experience with delivering near real-time/streaming Machine Learning products at scale in production
    • Bachelor’s degree or equivalent work experience in Engineering, Computer Science, Math, Statistics or a related technical discipline
    • Consumer mobile, emerging markets, fintech/payments experience a plus
    • Excellent analytical and problem solving skills
    • The ability to build the business case for technical improvements
    • Effective communicator that listens, motivates, and inspires with strong cross-functional leadership and understanding
    • Fluency in Agile practices, and defining testing plans and success metrics 
    • Comfort working in a fast paced, dynamic environment with distributed teams
    • Checked ego, humble, empathetic, collaborative, service-oriented attitude of “user first”
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
This job is no longer open
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