Shape the future of trust in the age of AI
At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.
This is your chance to define a new product category. As our Lead PM for Workflows & Case Manager, you'll own the human-in-the-loop intelligence layer that sits atop our AI Risk Decisioning™ Platform, used by banks and fintechs to investigate fraud, manage AML compliance, and make critical risk decisions in real-time.
You'll own the products that bridge AI and human intelligence. Your workflows and case management tools are where rubber meets road—where sophisticated ML models become actionable insights for fraud investigators, compliance officers, and risk analysts.
Dynamic workflow orchestration that adapts to changing fraud patterns and regulatory requirements
Intelligent case management that gets the right alerts to the right investigators instantly
AI-powered case insights, including link analysis, timeline reconstruction, and risk scoring
Real-time collaboration tools for complex investigations requiring multiple teams
Automated compliance reporting that turns investigations into audit-ready documentation
You'll spend your time understanding how elite risk teams work—what makes a fraud investigator successful, how AML officers prioritize cases, what compliance teams need for regulatory reporting. Then you'll design elegant solutions that make them 10x more effective.
Your features directly impact billions in protected assets and thousands of prevented fraud attempts daily.
5+ years building B2B SaaS products, ideally in risk operations, compliance tech, or workflow automation
AI-first mindset: You leverage GenAI tools (ChatGPT, Claude, Midjourney, Figma AI) for discovery, prototyping, and user research synthesis
Data-driven execution: You define success metrics, run experiments, and use analytics to validate product decisions
Customer obsessed: You conduct user interviews, shadow risk analysts, and translate complex regulatory requirements into intuitive product experiences
Experience with risk orchestration workflows, case management, or compliance automation
Knowledge of Fraud, AML, KYC, transaction monitoring, or similar regulatory frameworks (bonus)
Understanding of enterprise security tools, SIEM platforms, or investigative software (bonus points)
0→1 builder who can define product strategy and execute without extensive guidance
Technical curiosity about AI/ML capabilities and how to productize them effectively
Collaboration superpowers with engineering, design, data science, and go-to-market teams
Startup velocity mindset—you ship fast, learn quickly, and iterate based on customer feedback
Report directly to our CPO and collaborate with Neha Narkhede, whose Apache Kafka powers Netflix, Uber, and thousands of companies worldwide. Learn product strategy from proven builders who've scaled platforms to billions of users.
You'll help define "AI Risk Decisioning" as a product category. Today's risk management tools are fragmented point solutions. You're building the unified platform that becomes the industry standard.
Work with proprietary AI agents that understand financial crime patterns
Build on real-time streaming infrastructure (sub-100ms response times)
Integrate advanced ML models for behavioral biometrics and cognitive identity
Design no-code workflow builders that empower business users
Shadow fraud investigators to understand their mental models and decision-making processes
Partner with compliance teams to map regulatory requirements to product features
Run user interviews with risk analysts across different institutions and use cases
Leverage GenAI tools to synthesize research findings and generate insights faster
Use ChatGPT/Claude to draft PRDs, user stories, and technical specifications
Prototype with AI tools to validate concepts before engineering investment
Automate feedback analysis from customer calls and user research sessions
Generate test scenarios for complex risk decision workflows
Define success metrics for case resolution time, investigation accuracy, and user satisfaction
Run A/B tests on workflow designs and case prioritization algorithms
Analyze usage patterns to identify bottlenecks and optimization opportunities
Build feedback loops between product usage and AI model performance
We're looking for a product leader who gets excited about the intersection of AI and human decision-making, understands the nuances of enterprise workflow design, and wants to make the digital economy safer for everyone.
Compensation: Competitive salary and equity packages, including a 401k plan
Flexibility: Remote-first culture — work from anywhere
Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Balance: Unlimited PTO policy
Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product
Culture: Family-Friendly environment; Regular team events and offsites
Development: Unparalleled learning and professional development opportunities
Gear: Home office setup assistance
Impact: Making the internet safer by protecting online transactions