Product Manager – AI

Oscilar

Product Manager developing AI Risk Decisioning Platform for financial institutions. Leading product strategy and collaborating with engineering to automate decision-making processes.

Posted 5/22/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheKafkaNode.jsRabbitMQ

About the role

Key responsibilities & impact

Develop the roadmap that balances no-code accessibility with sophisticated AI capabilities
Research and analyze competitive landscape (n8n, Zapier, Temporal) to identify differentiation opportunities
Create the strategy for transitioning from traditional rule engines to AI-orchestrated decisioning
Define success metrics and KPIs that demonstrate value across fraud, credit, AML, and onboarding use cases
Collaborate with engineering to build a platform that's both powerful and performant
Work with risk domain experts (fraud, AML, credit) to ensure workflows meet practitioner needs
Partner with customer success to gather feedback and iterate on platform capabilities
Coordinate with sales and marketing to articulate the platform's unique value proposition
Lead agile ceremonies and maintain clear communication across all stakeholders

Requirements

What you’ll need

5+ years of product management experience, with at least 3 years in B2B SaaS platforms
Proven track record building workflow automation, orchestration, or integration platforms
Background in fintech, risk management, or financial services preferred
Demonstrated success launching technical products for non-technical users
Deep understanding of workflow orchestration patterns, event-driven architectures, and state machines
Experience with visual programming concepts and node-based editors (Node-RED, Retool Workflows, Pipedream)
Knowledge of AI/ML concepts including LLMs, embeddings, vector databases, RAG, and agent architectures
Understanding of real-time systems, message queuing (Kafka, RabbitMQ), and streaming data processing
Familiarity with API design, webhooks, OAuth flows, and integration patterns
Experience with workflow execution engines (Temporal, Airflow, Camunda)
Understanding of no-code/low-code platforms and visual programming paradigms
Understanding of risk decisioning workflows across fraud, AML, credit, and onboarding
Knowledge of regulatory requirements for automated decision-making (FCRA, GDPR Article 22)
Familiarity with risk operations including case management and investigation workflows
Understanding of financial services infrastructure and data sources
Strong analytical skills with ability to translate complex technical concepts into user value
Excellent written and verbal communication skills
Data-driven decision making with experience in A/B testing and experimentation
User research and design thinking capabilities
Ability to balance technical innovation with practical business needs
Technical background in Computer Science or Engineering (preferred)
Experience with specific technologies: Node-RED, Apache Airflow, Temporal, or similar workflow engines
Knowledge of specific risk platforms (Actimize, SAS, Feedzai, etc.)
Experience building developer platforms or tools
Understanding of MLOps and model deployment pipelines
Background in building real-time, mission-critical systems

Benefits

Comp & perks

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
Impact: Making the internet safer by protecting online transactions

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Hard Skills & Tools

product managementworkflow automationorchestration platformsevent-driven architecturesstate machinesAI/ML conceptsreal-time systemsAPI designworkflow execution enginesno-code/low-code platforms

Soft Skills

analytical skillswritten communicationverbal communicationdata-driven decision makinguser researchdesign thinkingbalancing technical innovationcollaborationfeedback iterationstakeholder communication