Oscilar

Financial Crime

• Design and build full-stack systems powering Oscilar’s next-gen AI agents — from backend APIs and data pipelines to fast, interactive frontends.
• Implement serverless architectures using AWS Lambda and Python for high-scale, event-driven processing of risk signals and fraud patterns.
• Experiment with agentic frameworks, LLM-driven automation, and reasoning systems to address fraud, risk scoring, and AML-related challenges.
• Collaborate directly with founders and product leaders to shape the architecture and roadmap of our agentic platform.
• Move fast — ship MVPs, test hypotheses with production data, and iterate weekly.
• Apply practical AI — using GenAI, embeddings, and retrieval pipelines for data storytelling, graph reasoning, and case automation.

Full-Stack Engineer – AI Agent Platform, Fraud, Risk & AML

DevOps Engineer

• Architect and operate resilient cloud infrastructure (AWS, Pulumi, Kubernetes).
• Lead initiatives to improve availability, latency, and performance at scale.
• Design and evolve our CI/CD pipelines to optimize for speed, safety, and repeatability.
• Define the metrics, alerts, and runbooks that form our observability backbone.
• Run chaos experiments and failure simulations to harden the platform.
• Mentor engineers and set best practices for SRE across the company.

Senior Infrastructure/Site Reliability Engineer, SRE

Senior Infrastructure/Site Reliability Engineer (SRE)

Product Manager

• Own the human-in-the-loop intelligence layer atop the AI Risk Decisioning™ Platform used by banks and fintechs to investigate fraud, manage AML compliance, and make critical risk decisions in real-time
• Build dynamic workflow orchestration that adapts to changing fraud patterns and regulatory requirements
• Build intelligent case management that gets the right alerts to the right investigators instantly
• Build AI-powered case insights, including link analysis, timeline reconstruction, and risk scoring
• Build real-time collaboration tools for complex investigations requiring multiple teams
• Build automated compliance reporting that turns investigations into audit-ready documentation
• Understand how elite risk teams work and design elegant solutions that make them 10x more effective
• Shadow fraud investigators, partner with compliance teams, and run user interviews
• Use GenAI tools to draft PRDs, user stories, and technical specifications, prototype, and automate feedback analysis
• Define success metrics, run A/B tests, analyze usage patterns, and build feedback loops between product usage and AI model performance

Product Manager – Workflows & Case Management

Solutions Engineer

• Lead, mentor, and grow the Solutions Engineering team to ensure technical know-how and sales skills.
• Work hand-in-hand with the Sales team to understand customer needs, showcase product capabilities, and tailor solutions.
• Help design and shape custom solutions, bringing deep technical expertise to solve business problems.
• Serve as the go-to technical expert for big opportunities and stay current on product updates, integrations, and industry trends.
• Collaborate with Product and Engineering to ensure customer needs and feedback are prioritized and to influence the roadmap.
• Improve the pre-sales process, documentation, demo strategies, and team workflows for scalability.
• Advocate for the customer in product discussions to ensure solutions solve real problems and evolve from feedback.
• Ensure smooth transition from pre- to post-sales and provide Customer Success and Implementation teams with necessary context.
• Track key performance metrics like time to solution, win rates, and customer satisfaction; report to leadership.
• Lead hiring, onboarding, and ongoing development for the Solutions Engineering team.

Director, Solutions Engineering

Data Engineer

• 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
• Design, develop, and optimize distributed data storage solutions for high performance and reliability at scale serving mission-critical ML models
• Drive schema evolution, data modeling, sharding, partitioning, and pipeline orchestration (batch, streaming, CDC)
• Own end-to-end data flow: integrate multiple internal and external data sources, enforce data validation and lineage, automate and monitor workflow reliability (CI/CD, anomaly detection)
• Collaborate cross-functionally with engineers, product managers, and data scientists to enable fast experimentation and operationalization of ML/AI models
• Champion radical ownership: identify opportunities, propose improvements, and implement technical and process solutions
• Mentor and upskill team members and contribute to a collaborative, mission-oriented culture

Senior Data Engineer

• Take ownership of reliability across a multi-region, cloud-native platform powering Oscilar's AI Risk Decisioning™ platform.
• Architect and operate resilient cloud infrastructure (AWS, Pulumi, Kubernetes).
• Lead initiatives to improve availability, latency, and performance at scale.
• Design and evolve CI/CD pipelines for speed, safety, and repeatability.
• Define metrics, alerts, and runbooks forming the observability backbone.
• Run chaos experiments and failure simulations to harden the platform.
• Mentor engineers and set SRE best practices across the company.

Sr./Staff Infrastructure/Site Reliability Engineer, SRE

Backend Engineer

• Shape the future of trust in the age of AI at Oscilar, building an AI Risk Decisioning Platform for banks, fintechs, and digital organizations.
• Design, implement, and optimize backend services using Java and AWS technologies to handle high-throughput, real-time data streams.
• Lead architecture, deployment, and optimization of Apache Kafka, including building and managing topics, brokers, producers, consumers, Kafka Streams, and Kafka Connect.
• Scale and maintain databases such as Postgres, Redis, DynamoDB, and ClickHouse; optimize schemas, indexing, and partitioning.
• Establish CI/CD pipelines, implement infrastructure security and performance monitoring, and ensure data integrity.
• Collaborate across product, frontend, and data engineering teams; mentor junior engineers and conduct code reviews.

Senior/Staff Backend Engineer, Java, Kafka

• Shape the future of trust in the age of AI
• Oscilar's AI Risk Decisioning Platform helps banks and fintechs manage fraud, credit, and compliance risk
• Role Overview: AML Subject Matter Expert to serve as Oscilar's principal BSA/AML authority to customers and partners
• Pre-Sales Advisory & Customer Confidence Building (30%)
• Implementation Guidance & Compliance Assurance (35%)
• Post-Sales Support & Continuous Compliance (20%)
• Thought Leadership & Industry Engagement (15%)
• Required Qualifications and Experience overview
• Travel and location details: remote work with travel (25-30%)
• Benefits overview and unique selling points

AML Subject Matter Expert

Sales

• Manage daily and weekly activities, pipelines, forecasts and closed deals to ensure repeatable, predictable above-quota results based on successful pipeline management.
• Build, measure, and optimize a repeatable sales process to successfully achieve targeted sales objectives.
• Recruit, hire, and manage a growing team of experienced Account Executives to achieve individual and company sales targets.
• Empower your team with scalable systems and repeatable processes to increase AE’s sales skills, product and industry knowledge, and professional habits.
• Create a team culture that’s positive, motivating, and performance driven.
• Develop specific and targeted goals to expand and accelerate revenue opportunities within their unique customer sets.
• Track and report key growth metrics to assess individual and team performance.
• Find innovative and creative ways to improve and increase performance.

Director, Enterprise Sales - East

• Oscilar is building the AI Risk Decisioning Platform to help banks, fintechs, and digitally native organizations manage fraud, credit, and compliance risk with AI.
• The Director of Mid Market Sales will lead and develop a team of Account Executives within a fast-paced environment.
• Hire, train, and develop an accomplished mid-market sales team; identify process improvements; assist sales cycles; report results.
• Compensation and culture highlights include remote-first culture, unlimited PTO, health insurance, and home office support.
• This role is remote in the United States with a remote-first culture.

Director, Mid Market Sales

• 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.
• Oscilar is growing fast, and so is the complexity of our systems. We’re looking for a experienced SRE to take ownership of reliability across our multi-region, cloud-native platform. You’ll have the mandate and autonomy to design, implement, and evolve systems that stay performant and resilient—through traffic spikes, dependency failures, and global deployments.
• You’ll be shaping how we scale, how we build observability, and how we run infrastructure that supports billions of events and large-scale data pipelines.