Oscilar

• Design and implement scalable backend services that leverage generative AI models to deliver high-performance, low-latency solutions. • Collaborate with product, frontend, and QA teams to define technical requirements and ensure seamless integration of AI models with other platform components. • Optimize AI models and backend services for maximum performance, scalability, and maintainability in a distributed environment. • Identify and resolve bottlenecks related to AI processing and system performance, ensuring efficient resource utilization and system stability. • Implement best practices for deploying, monitoring, and maintaining AI models in production, including CI/CD pipelines and model versioning. • Proactively monitor the health and performance of AI-driven backend services, applying strategies to mitigate potential issues and ensure high availability.

• Launch Oscilar’s marketing presence in new regional markets from zero • Run outbound, paid, and event campaigns simultaneously across multiple markets • Localize and adapt campaign messaging, creative, and landing pages for regional audiences • Partner with Sales to build regional pipeline and account penetration strategies • Manage regional marketing budget and report on pipeline contribution by market • Iterate rapidly: launch campaigns, read the results, adjust, and relaunch • Build the repeatable playbook that future regional marketers will follow

• Design and launch innovative brand marketing programs that increase Oscilar’s visibility and reputation. • Own flagship initiatives such as our Risk Leaders of the AI Era program and develop new creative ways to engage the market. • Partner with Communications to amplify company announcements, product launches, customer stories, and thought leadership. • Work with Product Marketing to ensure campaigns reinforce our positioning and category leadership. • Collaborate with the Events team to create memorable experiences before, during, and after conferences. • Leverage AI extensively to increase the speed, quality, and scale of marketing execution. • Launch multiple experiments every quarter, measure results, double down on what works, and quickly iterate on what doesn’t. • Build repeatable systems and playbooks that enable the brand function to scale.

• Own outbound pipeline generation for new ICP verticals: Fraud, Disputes & Chargebacks, AML/Compliance • Design multi-channel outbound sequences across email, cold call, and LinkedIn • Build and execute campaigns on behalf of BDRs and AEs — you run the plays, they run the conversations • Develop and test ICP-specific messaging, value props, and objection handling for each vertical • Run continuous experiments on intent signals, enrichment sources, and targeting criteria to find what converts • A/B test email copy, subject lines, send times, call scripts, and LinkedIn messaging at volume • Build experiment frameworks that generate statistically meaningful results fast • Kill what doesn’t work quickly. Double down on what does. • Design and execute direct mail campaigns to break through to hard-to-reach prospects • Wire together the outbound stack: Clay → HubSpot → Salesforce → Outreach / HeyReach / Nooks • Own outbound messaging end-to-end: write, test, and iterate on all campaign copy • Launch outbound campaigns into new ICP verticals where Oscilar has no existing playbook • Partner with BDRs on daily outbound execution and follow-up workflows

Role Description We are seeking an innovative Product Manager to lead the development of our next-generation risk orchestration platform. You will be building the future of risk decisioning - a visual workflow automation platform meets cutting-edge AI, specifically designed for financial risk workflows. This platform will combine no-code visual workflow builders with Generative AI and Agentic AI capabilities to automate complex real-time decisioning for fraud, credit, onboarding, and AML use cases. This is a unique opportunity to define how financial institutions will orchestrate risk operations. What You'll Build - Visual Risk Orchestration Platform - Drag-and-Drop Risk Nodes: Pre-built components for common risk operations (KYC checks, transaction monitoring, credit scoring, sanctions screening) that connect seamlessly. - Real-Time Execution Canvas: Visual feedback showing live data flow, with ability to inspect outputs at each node and test individual steps without running entire workflows. - AI-Powered Decision Trees: Visual branching logic that adapts based on risk signals, with AI suggesting optimal paths and thresholds. - Risk-Specific Templates: Pre-built workflows for common scenarios like "High-Risk Transaction Investigation" or "Enhanced Due Diligence Flow". - Enterprise-Grade Execution Engine - Sub-100ms Performance: Real-time execution handling millions of decisions daily with queue management and worker distribution. - Error Recovery Workflows: Visual error handling with automatic retry logic and fallback paths for failed services. - Compliance Recording: Every decision path logged with full explainability for regulatory review. - Version Control Integration: Git-based workflow management with staging/production environments. Key Responsibilities - Product Strategy & Vision: - Define the product vision for an AI-first risk orchestration platform that revolutionizes how FIs manage risk workflows. - 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. - Platform Architecture & Design: - Node Library Development: Design 200+ pre-built risk nodes including: - Data ingestion nodes (core banking APIs, bureau connectors, blockchain analyzers). - Enrichment nodes (identity verification, device fingerprinting, graph analytics). - Decision nodes (ML scoring, rules engines, policy tables). - Action nodes (case creation, alert generation, automated responses). - AI nodes (investigation agents, narrative generators, anomaly detectors). - Workflow Studio Features: Create an intuitive builder with: - Split-screen design showing workflow logic and live data flow. - Node search with AI-powered recommendations ("nodes similar to velocity checks"). - Sticky notes and documentation directly on the canvas. - Workflow simulation with synthetic data for testing. - Performance profiling showing latency at each node. - Template Marketplace: Curate risk-specific workflows: - "FATF-Compliant Transaction Monitoring" template. - "SaaS Fraud Prevention Suite" with pre-configured rules. - "Instant KYC + Credit Decision" for lending. - Community-contributed workflows with security vetting. - Developer Experience: Enable power users with: - JavaScript/Python code nodes for custom logic. - Webhook nodes for real-time event triggering. - API nodes with OAuth management. - Git sync for workflow version control. - CLI tools for workflow deployment. - Cross-Functional Leadership: - 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. Qualifications - 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. Requirements - 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. Preferred Qualifications - Technical background in Computer Science or Engineering. - 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 - 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.

• Lead high-impact engineering teams: Manage high-performing remote engineering teams with accountability for delivery, execution quality, and team health in a fast-paced environment. • Technical strategy & reliability: Own the architecture and reliability of high-scale systems that process millions of daily events with minimal latency. Define and drive the technical roadmap. • Process innovation: Implement scalable engineering processes across planning, estimation, quality, and production reliability. Incorporate AI-driven methodologies to improve team productivity. • Drive operational excellence: Lead planning and delivery cycles, ensuring teams stay focused and execute against aggressive deadlines. • Cross-functional impact: Partner with product and design teams to align roadmaps and execution plans. • Extreme ownership: Foster a high-performance culture centered on technical excellence, rapid iteration, and shared accountability. • Talent & leadership development: Attract, mentor, and retain top engineering talent while building a strong leadership bench for a scaling organization.

• Architect and implement scalable ETL and data pipelines spanning ClickHouse, Postgres, Athena, and diverse cloud-native sources to support real-time risk management and advanced analytics for AI-driven decisioning. • Design, develop, and optimize distributed data storage solutions to ensure both high performance (low latency, high throughput) and reliability at scale—serving mission-critical models for fraud detection and compliance. • Drive schema evolution, data modeling, and advanced optimizations for analytical and operational databases, including sharding, partitioning, and pipeline orchestration (batch, streaming, CDC frameworks). • Own the end-to-end data flow: integrate multiple internal and external data sources, enforce data validation and lineage, automate and monitor workflow reliability (CI/CD for data, anomaly detection, etc.). • Collaborate cross-functionally with engineers, product managers, and data scientists to deliver secure, scalable solutions that enable fast experimentation and robust operationalization of new ML/AI models. • Champion radical ownership—identify opportunities, propose improvements, and implement innovative technical and process solutions within a fast-moving, remote-first culture. • Mentor and upskill team members, cultivate a learning environment, and contribute to a collaborative, mission-oriented culture.

• AML operations teams are making high-stakes decisions on bad tooling. • You will own the product that earns trust with compliance teams. • At Oscilar, you'll have full product ownership of our AML and financial crimes suite. • You'll define what the system flags, why, and how those decisions evolve. • You think about alert routing, case assignment, and analyst productivity tooling. • You've seen what regulators look for in an MRA and you build product that holds up under that scrutiny. • You can speak fluently to a data engineer about what data the models need and why, and to a compliance officer about what the model's output means and how it was derived.

• Lead executive discovery workshops with prospects and customers across Fraud, Credit, Compliance, Operations, Finance, and Risk teams. • Uncover business pain points, operational inefficiencies, growth constraints, and strategic priorities that can be addressed through Oscilar's AI Risk Decisioning platform. • Establish baseline performance metrics and success criteria used to quantify business outcomes and ROI. • Serve as a trusted advisor to executive stakeholders including CFOs, CROs, Chief Compliance Officers, Heads of Fraud, and Operations leaders. • Translate technical capabilities into business outcomes that resonate with executive decision-makers. • Build customized ROI assessments, Total Cost of Ownership (TCO) analyses, value realization frameworks, and financial models for prospective and existing customers. • Quantify business impact across fraud loss reduction, approval rate optimization, onboarding efficiency, operational cost savings, compliance automation, and revenue growth. • Develop board-ready business cases that support investment decisions and accelerate enterprise buying cycles. • Create scalable value calculators, benchmarking tools, and economic impact frameworks that can be leveraged across the revenue organization. • Partner closely with Solutions Engineering and Sales to support strategic opportunities. • Partner with Customer Success and Technical Account Management teams to ensure customers achieve measurable outcomes after deployment. • Design and execute value realization programs that track performance against original business objectives. • Produce executive business reviews highlighting realized ROI and strategic recommendations. • Identify expansion opportunities by uncovering additional workflows and business units that can benefit from Oscilar. • Support renewals and growth initiatives through documented proof of business value. • Proficient using AI tools such as Claude, ChatGPT, Gemini, or similar platforms to accelerate research, financial modeling, data analysis, and executive presentation development. • Leverage AI as a force multiplier to identify trends, uncover insights, and improve the speed and quality of customer-facing deliverables. • Contribute to thought leadership content including benchmark reports, whitepapers, webinars, customer success stories, and industry research. • Stay at the forefront of AI adoption trends, value realization methodologies, and emerging best practices within financial services. • Synthesize insights across customer engagements to identify common challenges, emerging market trends, and opportunities for innovation. • Partner with Product, Engineering, and Data Science teams to refine value frameworks and benchmark assumptions using real customer outcomes. • Provide structured feedback that influences product roadmap priorities and go-to-market strategy. • Serve as the voice of customer business outcomes across the organization.

Role Description 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. Why join us: - Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. - Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. - Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk. The role: There's a role that doesn't really exist at most fraud vendors: the one person who can walk into a customer with a Senior Fraud Analyst, a Director of Fraud Strategy, a CRO, and a Chief Compliance Officer in the same room — and have all four leave the conversation thinking "they get it." Not the engineer who'll write the rule. Not the AE who'll close the deal. Not the consultant who shows up for the quarterly review and disappears. The fraud subject matter expert who has lived the work, who can speak the language of an analyst at 4pm and a CRO at 8am, who's built enough trust across years of doing the job to be the person customers actively ask to be on the call. Advisory. Field-facing. Thought-leading. You're the practitioner voice across everywhere Oscilar talks about fraud externally and internally — the trusted SME whose judgment shapes strategy, decisioning, risk ops, and the AI agent direction, but who isn't the engineer writing the code. You operate across four surfaces: - Sales support — as the credibility partner: - On 10+ sales calls a week alongside our AEs and SEs. - When the prospect's fraud team starts probing on whether we actually understand their world, you're the one who closes the credibility gap. - Customer support — as the trusted advisor: - Existing customers pull you into implementation calls, QBRs, technical deep dives, and escalations. - The accounts you're on are the ones where the customer wants you specifically. - Product advisory — as the operator voice: - You can roll your sleeves to support building the rules, models, or agents with the product and engineering teams. - Your job is to be the risk operator inside the product team. - External thought leadership: - Conference panels (MRC, Money 20/20, ACFE), podcast appearances, LinkedIn posts, white papers. - You're the recognizable Oscilar fraud voice externally. Qualifications - You've spent most of your career in fraud analytics and fraud strategy. - You've held titles like Director of Fraud Strategy, Head of Fraud Analytics, VP Fraud Risk, Principal Fraud Strategist. - You've worked across more than one institution and across more than one rail. - You're externally credible, having published, presented, or having a real voice in the fraud community. Requirements - You don't have to be a deep ML engineer but should know enough about how fraud analysts & models work. - You don't have to be a rules engine wizard but should have an opinion on what makes a good rule strategy. - You should be deeply credible across levels. Benefits - 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.