Tala

Lead Product Manager, Machine Learning & Data

Sept. 8, 2022

Remote, USA

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 and Data products from ideation to execution. What you'll do: Deeply understand our data infrastructure, processes, needs, and business goals to prioritize and own a unified roadmap to deliver machine learning and data products and servicesLead a high-performance, cross-functional team of engineers, data scientists, and analysts to drive execution to deliver measurable resultsGather requirements, determine features, and develop product specs that minimize assumptions and ambiguity for developersDrive alignment with a cross functional group of stakeholders including Credit, Business Intelligence, Finance, and LegalCollaborate with the broader PM community on strategy, dependencies, and creating a center of excellenceShare product and technical architecture insights and best practices with the broader product guild to help educate and evolve the platformGlobal travel may be required Qualifications: 6+ years product experience in product managementExperience directly managing product managersAn understanding of modern data science machine learning approaches and experience with delivering near real-time/streaming Machine Learning products at scale in productionAn understanding of data infrastructure and software architecture and experience leading infrastructure productsBachelor’s degree or equivalent work experience in Engineering, Computer Science, Math, Statistics or a related technical disciplineEmerging markets, fintech/payments, credit experience a plusExcellent analytical and problem solving skillsThe ability to build the business case for technical improvementsEffective communicator that listens, motivates, and inspires with strong cross-functional leadership and understandingFluency in Agile practices, and defining testing plans and success metrics Comfort working in a fast paced, dynamic environment with distributed teamsChecked 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.

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