Technical Product Manager – AI Investing App

About This Opportunity

We are representing a confidential fintech organization building AI-powered financial products across Southeast Asia. Our talent team is seeking a Technical Product Manager based in Germany to own a product vertical end-to-end within their investing and payments ecosystem.

This is a remote role working with a globally distributed team across multiple time zones. The position requires strong technical depth, regulatory product experience, and the ability to make critical trade-offs in a high-consequence financial environment.

Responsibilities

• Own a complete product vertical including strategy, metrics, roadmap, priorities, and delivery from concept through production launch
• Shape technical design with engineering teams across APIs, data flows, ledgering, reconciliation, failure handling, security, and scalability
• Drive trade-offs across correctness, speed, cost, reliability, regulatory requirements, and user experience in a regulated financial environment
• Build regulatory requirements into product design across KYC, transaction monitoring, limits, privacy, and licensing compliance
• Apply AI and LLM capabilities where they genuinely improve outcomes, with clear evaluation frameworks, safeguards, human oversight, and failure handling
• Ship products that depend on external factors including regulatory approvals, financial infrastructure, and third-party partnerships
• Align cross-functional stakeholders including Engineering, Design, Compliance, Operations, Treasury, and Finance around product decisions and launch requirements

What We're Looking For

Required Experience:

• 5+ years of product management experience with ownership of complex technical products from strategy through production delivery
• Strong technical foundation across system architecture, APIs, databases, workflows, failure modes, and distributed systems
• Demonstrated ability to work closely with engineers, review technical designs, and contribute meaningfully to architecture discussions
• Direct experience in payments, banking, remittance, insurance, trading, or another regulated, high-consequence product domain
• Strong product judgment and ability to make difficult trade-offs under technical, regulatory, and operational constraints
• Experience building with LLMs or AI products, including evaluation methodology, reliability engineering, and understanding when deterministic systems must remain in control
• Strong English communication skills for working across global teams

Preferred Background:

• Engineering or highly technical product background
• Experience building zero-to-one fintech or consumer financial products
• Experience defining evaluation frameworks for ML or LLM-powered products in production

Key Success Outcomes:

• Clear vertical strategy with legible roadmap that balances speed and regulatory requirements
• Shipped products where money is always correct and users are never misled about fund status
• AI features that are valuable, predictable, and trusted by users and regulators
• Deliberate trade-offs made under uncertainty that hold up when challenged
• Cross-functional alignment with minimal friction

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screen to understand your background and match with client requirements. Strong candidates will be submitted to our client for their interview process, which is designed to move quickly and typically includes an online assessment, technical interview, and final round. We aim to facilitate offers within one week for qualified candidates.

Please do not attempt to contact the client directly. All communication and coordination will flow through Get A Job.ai to ensure a professional process for all parties.

Pay

Compensation details will be discussed during the screening process based on experience level and location.

Equal Opportunity: Get A Job.ai is committed to fair and equitable recruiting practices. We work with clients who value diverse perspectives and evaluate candidates based on skills, experience, and potential to contribute to their teams.