Technical Product Lead - AI Finance App
New
J
JobgetherFintech AI
Based in the United StatesFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- Data AnalysisProduct ManagementRESTful APIsDistributed Systems
Requirements
- 5+ years of product management experience, including ownership of complex, technical products from strategy through production.
- Strong technical foundation across system architecture, APIs, databases, workflows, distributed systems, and failure modes.
- Demonstrated ability to work closely with engineers, review and challenge technical designs, and contribute meaningfully to architectural discussions.
- Experience in payments, banking, remittance, insurance, trading, fintech, or another regulated and high-consequence product environment.
- Strong product judgment, with the ability to make difficult decisions and balance technical, regulatory, operational, commercial, and customer considerations.
- Experience developing products with LLMs or other AI technologies, including an understanding of evaluation, reliability, safeguards, and appropriate use cases.
- Strong analytical and problem-solving skills, with the ability to operate effectively when requirements or information are incomplete.
- Excellent communication skills and the ability to align technical and non-technical stakeholders around clear decisions and priorities.
- High ownership, execution speed, and comfort operating in a distributed, international, and fast-changing environment.
- Strong English communication skills are required.
Responsibilities
- Own a product vertical end-to-end, including product strategy, desired outcomes, success metrics, roadmap, prioritization, delivery, and launch.
- Work closely with engineering teams to shape technical solutions across APIs, system architecture, data flows, databases, ledgering, reconciliation, security, scalability, and failure management.
- Make deliberate trade-offs across product correctness, delivery speed, cost, reliability, regulatory requirements, operational complexity, and user experience.
- Embed regulatory and compliance requirements directly into product design, including KYC, transaction monitoring, transaction limits, privacy, licensing, and other applicable controls.
- Identify opportunities to apply AI where it can materially improve outcomes while establishing clear evaluation frameworks, safeguards, human oversight, reliability standards, and failure-handling mechanisms.
- Lead product delivery in environments with external dependencies, including regulatory approvals, financial infrastructure, payment rails, and third-party partners.
- Align Engineering, Design, Compliance, Operations, Treasury, and Finance around product decisions, priorities, launch criteria, and expected outcomes.
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