Founding Growth Engineer

OSCILAR, INC.
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Customer Data Management Data Infrastructure Extract Transform Load (ETL) Data Warehousing Routing Salesforce.Com Software Engineering Web Analytics Build Management
+2 more
Hubspot Data Pipelines

Job description

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., * 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

Requirements

  • 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

Benefits & conditions

Compensation: Competitive salary and equity packages, including a 401k plan

About the company

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.

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