BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.
Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit .
We are looking for a highly motivated Product Manager to join our team and contribute to the development of our mobile SDK solutions. This role is ideal for someone with a strong technical background, excellent analytical skills, and a passion for building innovative products in a fast-paced, B2B SaaS environment.
What You’ll Be Doing
- Support the product lifecycle for BioCatch's Mobile and Web SDKs, from requirements gathering and design through development, rollout, and post-launch improvements.
- Collaborate closely with Engineering, Solution Engineering, Program Management, Customer Success, and other cross-functional teams in an agile environment to define and prioritize product capabilities.
- Work directly with customers and internal stakeholders to understand technical challenges, gather feedback, and translate business needs into product requirements.
- Participate in customer meetings, technical discussions, implementations, and feature validations to ensure successful product adoption.
- Write clear product specifications, user stories, and acceptance criteria for engineering teams.
- Analyze customer feedback, market trends, and competitive insights to support data-driven product decisions.
- Utilize AI-powered and agentic tools to create product artifacts (requirements, user stories, specifications, release documentation, etc.) and automate product management workflows.
- Collaborate with engineering teams using AI-assisted and agentic development tools to improve communication, accelerate delivery, and enhance product quality.
- Participate in agile ceremonies, including backlog grooming, sprint planning, and retrospectives.
- Support go-to-market activities, including product documentation, release notes, internal enablement, and customer-facing materials
Requirements
- At least 2 years of Product Management experience, with 3+ years of prior experience in a technical customer-facing role, such as Software Engineering, Technical Project Management, Solution Engineering, Professional Services, Technical Consulting, or Implementation Engineering.
- Experience working directly with customers, including leading technical discussions, implementations, integrations, or technical projects.
- Strong technical understanding of Mobile SDKs, Web technologies, APIs, and client-server architectures.
- Familiarity with mobile platforms (Android/iOS) and modern web technologies.
- Experience working in Agile development environments.
- Ability to translate technical and business requirements into clear product specifications and user stories.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills and ability to collaborate effectively across Engineering, Product, and customer-facing teams.
- Fluent in English (both written and verbal).
- Experience in Software Development is an advantage.
- Experience in B2B SaaS environments is an advantage.
- Experience with cloud-based solutions is an advantage.
- Experience with AI/ML or cybersecurity products is an advantage.
- B.Sc. in Computer Science, Software Engineering, or equivalent.