Technical Product Manager - AI Investing

Bjak · Remote · Sweden ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (Global)
  • AI Investing Superapp
  • Fintech & Regulated Domain
  • Senior Level Role
  • Fast Interview Process

You will own a product vertical end-to-end, driving strategy, metrics, and delivery for an AI-native investing platform. The role requires balancing technical design with regulatory compliance, ensuring reliability and trust in financial transactions.

Working with engineering, design, and compliance teams, you will shape APIs, data flows, and AI integration. The focus is on building auditable, secure products that handle real money across payments, insurance, and wealth management.

What you'll do

  • Own product vertical strategy, roadmap, priorities, and delivery outcomes
  • Shape technical design for APIs, data flows, ledgering, and scalability
  • Drive trade-offs between correctness, speed, cost, and regulatory needs
  • Integrate KYC, transaction monitoring, and privacy into product features
  • Apply AI with safeguards, human oversight, and clear evaluation metrics
  • Manage external dependencies like regulatory approvals and financial rails
  • Align Engineering, Design, Compliance, and Operations on launch goals

What you'll need

  • 5+ years of product management experience with complex technical products
  • Strong foundation in system architecture, APIs, and distributed systems
  • Experience collaborating with engineers on technical design reviews
  • Background in payments, banking, insurance, trading, or regulated fintech
  • Ability to make trade-offs under technical and regulatory constraints
  • Experience building with LLMs or AI, including reliability assessment
  • Strong English communication skills for global team collaboration

Nice to have

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

Stack

  • LLMs
  • APIs
  • Distributed Systems
  • Databases

How you'll work

  • Fully remote role with global hiring
  • Collaboration across multiple time zones
  • English is the main working language

What you get

  • Work with a diverse team of over 20 nationalities
  • Fast-moving international environment

Hiring process

  • Online assessment or practical task
  • Technical interview
  • CEO or final round interview
  • Goal to complete process within one week