Our DS/MLE team builds and operates data science and machine learning services consumed across the organization, Product Engineering, Customer Service, Finance, HR, and other business functions. We're looking for a Senior Product Manager who can translate diverse stakeholder needs into a coherent product strategy for these data/ML services, and own the roadmap that connects model capability to real business outcomes.
About the role:
- Set the product roadmap and strategy for DS/MLE services, aligned to the needs of multiple internal stakeholder teams with different levels of data/ML literacy
- Act as the primary interface between the DS/MLE team and consuming teams — translate business problems into product requirements, and translate technical constraints/trade-offs back into terms stakeholders can act on
- Lead exploratory investigations into service performance and adoption (accuracy, latency, usage, business impact) and turn findings into prioritized initiatives
- Collect and synthesize feedback from stakeholders to shape requirements, features, and prioritization of data/ML products
- Own the tracking record of shipping reliable, on-time products with measurable business impact across the services stakeholders depend on
- Guide, coach, and coordinate product managers/analysts in delivering multiple concurrent projects with cross-functional engineering, DS, and MLE teams
- Partner with DS/MLE engineering leadership on platform and infrastructure priorities that affect product delivery (e.g. deployment speed, service reliability)
About you:
- At least 4 years of experience as a product manager; experience with data, ML, or platform products strongly preferred
- Extremely strong communication skills — able to work fluently with both highly technical (DS/MLE engineers) and non-technical (CS, Finance, HR) stakeholders
- Strong intuition for stakeholder behavior and expectations, especially in reconciling competing priorities across business functions
- Strong command of fundamental product management concepts, practices, and procedures
- Excellent analytical and problem-solving skills — comfortable digging into data/model performance metrics to diagnose issues and identify optimization opportunities, not just qualitative feedback
- Working understanding of how ML models are built, deployed, and monitored in production — enough to have credible technical conversations with DS/MLE engineers, even without hands-on modeling experience
- Self-starter with strong project management skills to follow through on execution
- Good leadership skills, including the ability to manage, coach, and direct a team
- English is a must (spoken and written)
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Skills Required
- At least 4 years of experience as a product manager
- Experience with data, ML, or platform products
- Extremely strong communication skills (technical and non-technical audiences)
- Strong stakeholder management and prioritization skills
- Strong command of product management concepts and practices
- Excellent analytical and problem-solving skills; comfortable with data/model performance metrics
- Working understanding of how ML models are built, deployed, and monitored in production
- Self-starter with strong project management skills
- Leadership ability to manage, coach, and direct a team
- Fluent English (spoken and written)
What We Do
Kredivo Group is Southeast Asia’s leading provider of digital financial services through its brands Kredivo, KrediFazz and Krom. Kredivo is the leading digital credit platform in Indonesia and Vietnam that gives customers instant credit financing for ecommerce and offline purchases, and personal loans, based on real-time decisioning. Kredivo users can buy now and pay later across the entirety of Indonesia’s retail commerce network with one of the lowest interest rates amongst digital credit providers in the country. Krom Bank Indonesia (formerly known as Bank Bisnis Internasional, IDX: BBSI) is the group’s bank entity and the operator of the Indonesian neobank Krom. Kredivo Group is backed by leading financial and strategic investors such as Mizuho Financial Group, Square Peg Capital, Jungle Ventures, Naver Corp, Mirae Asset, Telkom Indonesia and Victory Park Capital among others
