About the role

Aplyr's Quick Take

This role is about building and optimizing the technical systems that drive revenue growth for Oscilar. You'll design data pipelines and automation tools that support sales and marketing efforts, making it a hands-on engineering position with a focus on growth. It's an individual contributor role with a lot of responsibility.

Good fit

Ideal candidates are experienced engineers with a strong background in data systems and automation, preferably with 3-5 years in a similar role. A proactive, ownership-driven mindset and the ability to collaborate across teams will help you thrive here.

Worth noting

This is a founding role, which means you'll have significant influence over the company's growth strategy. The emphasis on AI and integration with various tools suggests a fast-paced, innovative environment, but it may also come with high expectations and pressure.

About Oscilar

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.

Role Overview

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.

What You’ll Do

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

What You’ll Build

GTM Data Infrastructure

Customer Data Platform (CDP)
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

What You’ll Bring

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

Preferred Qualifications

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

Benefits and Other Perks

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

Skills & Tags

python java javascript go ai data analytics product

Aplyr's read

Oscilar Inc is at the forefront of data analytics and machine learning, ideal for tech enthusiasts eager to innovate in a dynamic environment.
Synthesized from recent postings & public sources

What's promising

•Oscilar is pioneering advanced machine learning solutions, attracting top-tier engineering talent.
•The company offers diverse roles across global locations, indicating strong international growth.
•Focus on cutting-edge technology projects provides ample learning and innovation opportunities.

What to watch

•High specialization in machine learning may limit opportunities for those outside this expertise.
•Rapid growth could lead to organizational and operational challenges.
•Limited public information about company culture and work-life balance.

Why Oscilar

•Oscilar's commitment to data analytics innovation sets it apart in the tech industry.
•The company's global hiring strategy supports a diverse and multicultural workforce.
•Specialized roles in emerging markets highlight its strategic expansion focus.

Aplyr’s read is generated by AI from public sources. Was it useful?