Product Owner
Spektr provides an AI-powered platform.
Funding history
Investors
About Spektr
Spektr offers a complete compliance operations platform combining AI agents and configurable processes. Its AI agents execute tasks such as KYB, document review, ownership mapping, source-of-funds analysis, website checks, and false-positive reduction, while connected workflows collect data, trigger checks, update records, and automate follow-up actions across onboarding, monitoring, risk, remediation, enrichment, questionnaires, and scoring. Spektr serves fintechs, enterprise banks, and other financial institutions, with case studies involving payments, crypto-wallet, digital banking, leasing, and EV-charging businesses.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will prototype and test AI-enabled compliance product ideas with real users, shape intuitive workflows with design, and partner with engineering to deliver configurable platform capabilities. You will use customer feedback, implementation insights, and production data to improve onboarding, monitoring, and investigation experiences.
Requirements
- Experience owning product on a B2B platform
- Experience using AI tools for prototyping, research, and idea exploration
- Product and UX skills for simplifying complex workflows
- Platform product thinking
- Understanding of systems, data, and APIs
- Ability to work closely with customers
- Financial services, fintech, regulated-industry, or compliance experience is a plus
Responsibilities
- Prototype and test product ideas with compliance and operations users
- Explore solution options and recommend the best user experience
- Shape simple product experiences for complex compliance workflows
- Define explainable and defensible AI automation with appropriate human review
- Convert customer requests into configurable platform capabilities
- Partner with engineering to align delivery with platform direction
- Use implementation feedback and production data to prioritize improvements
Hiring Process
Intro call with the Talent team (30 minutes) → Technical Interview (30 minutes) → Technical Interview (60 minutes)
