Own the full AML and financial crimes product suite, including transaction monitoring, KYC/KYB, and SAR filing. Leverage AI tools to automate investigation workflows and build a defensible, regulator-approved risk decisioning platform.
Oscilar
26 Remote Job Openings at Oscilar
The Business Value Strategist translates technical AI capabilities into compelling business cases and ROI models for executive decision-makers. They lead value discovery workshops and partner with internal teams to ensure customers realize measurable business outcomes.
Act as the primary fraud subject matter expert to bridge the gap between technical product teams, sales, and high-level executives. Drive product strategy, support sales credibility, and serve as the external voice of the company through thought leadership and industry panels.
Act as the practitioner voice in sales and customer calls to provide domain credibility and drive adoption of AML capabilities. Collaborate with product and engineering teams to calibrate AI agents and refine the AML product roadmap based on real-world operational experience.
Build and manage Oscilar's content engine across search, social, email, and brand channels to drive organic pipeline. This includes ghost-writing for executives, managing the editorial roadmap, and leveraging AI to scale high-quality content production.
Build the data foundation for scalable analytics by transforming raw data into reliable metrics and reporting for GTM, Finance, and Ops teams. Develop data pipelines in dbt and leverage AI tools to accelerate analytics workflows and internal tool creation.
The Sales Engineer serves as the technical resource for Account Executives to demonstrate the value of the AI Risk Decisioning Platform to customers. Responsibilities include conducting discoveries, demonstrations, and proof of concept implementations while acting as a liaison between product and sales teams.
Develop the product strategy and roadmap for an AI-driven risk decisioning platform combining no-code visual workflows with Generative AI. Lead cross-functional collaboration with engineering and risk experts to automate fraud, credit, and AML workflows.
Establish and lead the AppSec program from the ground up, focusing on product, infrastructure, and LLM security. Responsibilities include threat modeling, implementing authentication/authorization frameworks, and managing vulnerability triage and incident response.
Act as the first line of technical support to analyze, triage, and resolve customer issues using SQL and Python. Collaborate with engineering and product teams to debug API integrations and improve the platform.
The Technical Account Manager acts as the primary owner for assigned accounts, managing onboarding, adoption, and value realization to drive renewals and expansion. They serve as a technical liaison between customers and internal product teams to ensure successful integration and ROI.
The Forward Deployed Engineer owns the full technical relationship with strategic customers, from pre-sales discovery and architecture to end-to-end implementation. They design and deploy agentic AI risk systems and provide field intelligence to shape the product roadmap.
Sr./Staff - Infrastructure/Site Reliability Engineer (SRE)
Oscilar
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Full Time
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a month ago
Oscilar
The role involves architecting and operating resilient cloud infrastructure while leading initiatives to improve system availability and performance. The engineer will also design CI/CD pipelines and define observability metrics.
The Forward Deployed Engineer owns the full technical relationship with strategic customers, from pre-sales discovery and architecture to production deployment. They design and optimize agentic AI risk systems to automate fraud, credit, and compliance workflows.
Develop and implement advanced machine learning models to identify and prevent fraudulent activities across the platform. Collaborate with cross-functional teams to design fraud detection systems and optimize model performance based on emerging trends.
Build, deploy, and maintain the ML infrastructure and automated pipelines that power real-time risk decisioning. Collaborate with data scientists to optimize model serving, feature stores, and production reliability.
Lead the end-to-end design of major product surfaces for an AI-driven risk decisioning platform, focusing on AI-native experiences like copilots and agentic workflows. Partner with PM and engineering leadership to set product direction, evolve the design system, and maintain a high bar for craft across the team.
Manage and grow a portfolio of mid-market fintech and OEM partners to increase partner-sourced ARR. This involves onboarding new partners, running structured deal reviews, and building multi-threaded relationships within partner organizations.
Develop and execute go-to-market strategies while creating compelling messaging to differentiate the AI risk platform. Partner with product and sales teams to drive product adoption, manage launches, and enable the sales force with effective training and materials.
You will design, build, and maintain scalable, high-performance backend services using Java and AWS to support the company's AI Risk Decisioning platform. Additionally, you will collaborate with cross-functional teams to optimize system performance and ensure the reliability of services for global enterprise clients.
You will own and execute multi-channel account-based marketing campaigns to drive revenue growth across high-value enterprise accounts. This involves partnering with sales teams to develop account-specific strategies, managing events and webinars, and iterating on campaigns based on performance data.
You will manage a portfolio of OEM and reseller partners to drive revenue growth through joint business plans and co-sell motions. This role involves leading executive engagements, tracking partner health metrics, and collaborating cross-functionally to support GTM strategy.
You will design and build scalable GTM data pipelines and automation systems to drive revenue growth. This role involves partnering with marketing, sales, and engineering teams to develop internal tools and AI-native workflows.
You will develop and execute territory and account plans to drive growth within existing enterprise customers. This involves conducting discovery calls, managing complex sales cycles, and collaborating with internal teams to ensure solution adoption.
The Solutions Architect will collaborate with Go-To-Market, Product, and Engineering teams to define and deliver technical solutions, serving as the primary technical contact for customers through onboarding and deployment. Responsibilities include designing and implementing integrations using various data tools and acting as a trusted advisor across risk domains like Fraud and Credit Underwriting.
The role involves leading the design, development, and performance optimization of a high-performance Web SDK used for collecting browser/device data, device fingerprinting, and capturing behavior-based insights. Responsibilities include building and maintaining a robust CI/CD pipeline, optimizing SDK performance, and ensuring data privacy and security are embedded in the design.
