Growth Engineer
Oscilar
Growth Engineer
Oscilar
Real-time fraud detection with no-code engine
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.
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.
Oscilar is hiring a Founding Growth Engineer to design and build the infrastructure that powers our revenue engine.
This role sits at the intersection of engineering, data, growth, and GTM systems. You will be responsible for building the systems that enable our team to identify high-propensity accounts, personalize outreach at scale, and drive measurable revenue growth.
This is a high-ownership role with direct impact on company growth. You will work closely with our Head of Growth and VP of Marketing, and partner cross-functionally with AI Engineering, Revenue Operations, and Sales Leadership.
Design and build scalable GTM data pipelines and automation systems
Integrate systems across Salesforce, enrichment providers, outbound tools, and analytics platforms
Build internal tools that significantly improve BDR and AE productivity
Develop systems for account prioritization, routing, and orchestration
Enable AI-native workflows by building high-quality structured data pipelines
Partner with marketing, sales, and engineering to translate GTM strategy into systems
Continuously improve the reliability and performance of growth infrastructure
GTM Data Infrastructure
Data pipelines across CRM, marketing tools, and enrichment providers
Account and contact intelligence systems
Intent signal ingestion and propensity modeling
Attribution and measurement systems
Revenue Automation Systems
Outbound automation workflows
Account prioritization systems
BDR productivity tooling
Campaign infrastructure
Routing and orchestration workflows
Personalization Infrastructure
AI-assisted outbound messaging systems
Data pipelines for personalization signals
Campaign-level intelligence and experimentation
Growth Experimentation
Lead generation and conversion experiments
Experimentation frameworks for GTM
Web analytics and conversion optimization systems
Technical Background
5+ years of software engineering experience
Strong experience with data pipelines, APIs, and automation systems
Proficiency in Python, JavaScript, or similar
Experience with data warehouses and ETL pipelines
Growth Engineering Mindset
Experience building systems that impact customer acquisition or revenue
Familiarity with tools like Salesforce, HubSpot, Segment, Airbyte, Clay, or similar
Understanding of B2B growth and sales processes
Systems Thinking
Strong architectural thinking and ability to design scalable systems
Comfort working across engineering, data, and GTM teams
Experience at hyper-growth companies (100%+ ARR growth)
Building CDP or GTM data infrastructure
AI-assisted workflow automation
Enterprise sales GTM systems and tooling
Experience with marketing or sales automation platforms
Compensation: Competitive salary and equity packages, including a 401k plan
Flexibility: Remote-first culture
Health: 100% employer-covered comprehensive health, dental, and vision insurance (US)
Balance: Unlimited PTO policy
Culture: Family-friendly environment with regular team events and offsites
Development: Strong learning and professional development opportunities
Impact: Help make the internet safer by protecting online transactions
Oscilar operates in financial technology, offering a real-time fraud detection and risk management platform. It provides a no-code smart decision engine that combines machine learning and heuristic methods, enabling users to create and manage fraud rules and features through a user-friendly interface. The product works by letting financial institutions, e-commerce firms, and other businesses configure and deploy detection rules without heavy engineering effort, with real-time scoring and risk assessment fed by integrated ML models and heuristic checks. The company differentiates itself from competitors by focusing on a no-code rule-building experience, rapid rule creation and updates, and a subscription-based model that reduces the need for bespoke engineering work. Its goal is to help clients quickly implement and adjust fraud detection rules, enhancing operational agility and security while scaling with business needs.
Explore more opportunities at Oscilar