Oscilar

Backend Engineer

• Design, develop, and maintain scalable backend services using Java and AWS technologies.
• Lead the architecture, deployment, and optimization of Apache Kafka to support real-time data streaming across distributed systems.
• Build and manage Kafka topics, brokers, producers, and consumers, ensuring optimal performance and data consistency.
• Implement streaming solutions with Kafka Streams and Kafka Connect, focusing on high availability and low-latency processing.
• Collaborate with product, frontend, and data engineering teams to define technical requirements and deliver reliable, performant services.
• Design and maintain high-performance data storage solutions using Postgres, Redis, ClickHouse, and DynamoDB.
• Optimize database performance through schema design, indexing strategies, and resource partitioning.
• Implement best practices for infrastructure security, performance monitoring, and data integrity.
• Establish and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
• Provide mentorship to junior engineers, conduct code reviews, and promote best practices in software development.
• Proactively identify and resolve performance bottlenecks and technical challenges in both streaming and database systems.

Senior Backend Engineer – Java, Kafka

Account Manager

• Own senior, executive-level relationships across Oscilar's highest-priority partners and serve as the trusted internal owner for all partner-related strategy
• Define and execute engagement models and joint business plans that drive productive, well-scoped partnerships and consistent partner-sourced pipeline
• Run QBRs and executive syncs to track performance, surface blockers, and identify expansion opportunities across the partner portfolio
• Influence deal strategy in partner-led evaluations, RFPs, and transformation programs; support AEs on active deals with pricing guidance and stakeholder coaching
• Identify, qualify, and onboard new partners aligned with Oscilar's ICP across reseller and advisory channels
• Track partner health metrics across the portfolio: certification rates, active deal counts, pipeline velocity, and partner-sourced ARR
• Leverage investor and VC relationships to support portfolio introductions and strategic visibility
• Partner cross-functionally with Sales, Marketing, Product, Legal, and Deal Desk on deal motion, enablement assets, and commercial structures

Partnerships Lead

Account Executive

• Develop and execute a territory and account plan for existing enterprise customers.
• Become an expert on Oscilar’s product to effectively conduct discovery calls and presentations to prospective customers.
• Prospect and collaborate with internal resources to maintain existing relationships while building and growing new opportunities.
• Sell the value proposition of Oscilar to key stakeholders within the account while navigating a complex sales cycle across various lines of business.
• Exceed quarterly and annual targets.

Mid-Market Account Executive

Data Analyst

• Analyze large-scale transaction, account, and behavioral datasets to identify fraud, AML, and abuse patterns across:
• Onboarding (synthetic identity, fake accounts, mule risk)
• Account activity (ATO, session hijacking, social engineering)
• Payments (card-not-present fraud, ACH/wire fraud, crypto typologies)
• Develop risk segmentation, cohorts, and KPIs (fraud rate, approval rate, loss rate, false positives).
• Evaluate rule-based and ML-driven decision strategies and quantify performance trade-offs.
• Partner with customers to:
• Diagnose their fraud and AML pain points
• Interpret model outputs, alerts, and decision logic
• Design and refine risk strategies using our platform
• Produce customer-facing analytics, dashboards, and readouts that translate data into actionable risk decisions.
• Act as a trusted analytics advisor for customers implementing or scaling fraud programs.
• Work closely with Product and Engineering to:
• Define data requirements and success metrics for new features
• Provide feedback on model explainability, rule tooling, and case workflows
• Identify gaps in data, signals, or product capabilities based on real customer usage
• Support experimentation (A/B tests, challenger strategies, rule tuning).
• Contribute to internal and external documentation, including:
• Fraud and AML best practices
• Lifecycle risk frameworks
• Playbooks for onboarding, ATO, and payment fraud
• Help shape standardized analytics and reporting frameworks across customers.

Fraud & AML Data Analyst

Sales Engineer

• Become an expert on Oscilar product offerings.
• Build trust with potential customers by thoroughly demonstrating how Oscilar works and solves common issues experienced by others in the space.
• Conduct discoveries, demonstrations, value assessments, proof of concept implementations, etc.
• Act as the liaison between Oscilar’s product and sales teams; passing along customer feedback for future iterations.

IT Support

• Manage onboarding and offboarding processes, including device setup, access provisioning, and account management.
• Implement, own and operate Oscilar’s corporate IT environment end-to-end, including endpoint management, identity and access management and SaaS administration
• Define and execute IT strategy aligned to business goals, ensuring our corporate infrastructure scales with headcount growth, supports compliance requirements, and enables productivity across all teams
• Replace manual IT processes with automated, self-service systems using APIs, scripting, or workflow automation tools
• Triage and resolve any and all workplace technology problems—from access issues and hardware failures to complex integration bugs. No problem is beneath you, and no problem is too hard.
• Conduct regular audits of SaaS environments to identify improvements, optimize resource utilization, and enhance security posture.
• Develop and maintain source of truth documentation for supported applications and processes for both internal employees and IT staff.
• Ensure IT operations align with compliance frameworks (i.e. SOC2), owning controls where IT is the operator

IT Manager

Revenue Operations

• Own forecast accuracy, pipeline health, deal velocity, and revenue predictability
• Design territory assignments, quota planning, product expansion playbooks, and sales compensation plans that drive the right behaviors
• Serve as a strategic thought partner to GTM leadership, translating business needs into operational solutions and managing competing priorities with sound judgment
• Translate data into actionable insights that inform strategic decisions across pipeline generation, conversion, and retention
• Build and maintain a rigorous operating rhythm (forecasting, leading indicators, QBRs) for revenue teams, ensuring data integrity, accurate reporting, and actionable insights that inform strategic decisions
• Own Deal Desk operations including pricing, packaging and and approval workflows
• Design and administer compensation plans and commission operations in partnership with Finance
• Oversee the entire revenue technology ecosystem in conjunction with our GTM systems team. This will require selecting, implementing and optimizing tooling across the customer lifecycle - from CRM to marketing automation, sales engagement, post sales tooling and business intelligence solutions.