Geoxanalytics

Junior Developer (Marketing Automation) – Full Time

Location: Remote / Full-Time

About the Role

We are looking for a motivated Student / Junior Developer to join our team and work on

marketing automation systems. This role is ideal for someone at the beginning of their

career who wants hands-on experience building real automation workflows powered by

modern AI tools.

Responsibilities

Build and maintain automation workflows using tools like n8n

Integrate LLM-based AI services into marketing and operational processes

 Develop scripts and small backend services (Python preferred)

 Connect APIs, webhooks, and third-party platforms

 Optimize and monitor automated pipelines

Requirements

 Basic programming skills (Python)

 Basic DevOps knowledge (Linux, Docker)

 Understanding of APIs, REST, and JSON

 Familiarity with automation tools (n8n, or similar – advantage)

 Interest in AI / LLM technologies

 Strong problem-solving skills

 English – intermediate or higher

Nice to Have

 Experience with prompt engineering

 Experience working with CRM or marketing platforms

What We Offer

 Full-time position

 Hands-on experience with real AI-driven systems

 Fast learning environment

 Opportunity to grow into a mid-level automation/AI engineer/ Python engineer

GeoX provides instant property intelligence for insurnce across the United States. GeoX enables insurers and other property stakeholders to access valuable property attributes at time of underwriting, with the accuracy and detail that traditionally required an on-site inspection, but with the speed and coverage of property record pre-fill. Founded in 2018, GeoX is backed by stock market and leading venture firms and is comprised of computer vision, data science, and risk analysis experts.

Roles & Responsibilities

• Create a comprehensive marketing strategy to engage US-based Insurance carriers / MGA’s / Brokers / Agencies across all relevant marketing channels. 
• Build a transparent and scalable growth machine, own demand generation end-to-end, identify opportunities to develop new channels, and/or expand existing ones for customer acquisition.
• Establish a content factory, able to produce relevant and highly engaging content for diverse stages on the leads, opportunities, and users’ journey, including but not limited to case studies, blog articles, white papers, thought leadership pieces.  
• Manage and operate E2E, all marketing activities, hands-on / using freelancers /scale it to an in-house team later on.
• Own self-service product as a stand-alone revenue center with full responsibility for its performance and targets.
• Oversee email campaigns, Paid Search & Social.
• Generate user acquisition LTV/CAC reports on an ongoing basis and adjust accordingly. Define and manage marketing KPIs.

Qualifications

• +5 years of experience in marketing of global SAAS solutions to small medium businesses or B2B - must
• Experience working in startup companies – must
• Excellent English - must
• Background in insurance P&C - advantage

We are seeking a Senior React / Node.js Engineer to play a key role in developing and scaling our customer-facing web platform and API, and an internal platform used for AI model training. This is a hands-on role with a strong focus on technical ownership, system design, and product-team collaboration.

The ideal candidate combines deep technical expertise in modern TypeScript-based development with experience shipping high-quality features in a fast-paced startup environment.

Key Responsibilities

Technical Ownership

Own the development and maintenance of our customer-facing web platform (React + Node.js), external APIs and Internal Platform.

Design and implement backend services using AWS Lambda (serverless) and containerized workloads on EC2.

Ensure performance, reliability, and scalability of the Postgres RDS database.

Drive improvements to CI/CD pipelines, build systems, testing strategy, and infrastructure reliability.

Ecosystem & Tooling

Work within a monorepo environment.

Manage Infrastructure as Code using CloudFormation.

Maintain monitoring, logging, and alerting pipelines using Coralogix.

Ensure robust automated testing using Cypress and Vitest.

Maintain Docker-based development environments and EC2 deployments.

Cross-Team Collaboration

Partner directly with Product Managers to translate requirements into technical plans.

Coordinate with other engineering teams under the CTO to align architecture, standards, and shared components.

Key Projects They Will Own

Customer-facing web platform (React + Node.js + AWS) and API.

Internal platform for AI model training, including backend services and supporting tooling.

Ongoing modernization and scaling efforts across the stack.

Culture & Working Style

Scrum-based, iterative development

High autonomy—engineers are trusted to own problems end-to-end

Fast-paced startup with rapid decision-making and high impact

Qualifications

Strong experience with TypeScript across frontend and backend.

Hands-on experience with React, Node.js, AWS Lambda, EC2, Postgres RDS, and Docker.

Solid understanding of CI/CD (GitHub Actions), automated testing, logging, and monitoring.

Ability to work directly with Product and translate requirements into architecture and tasks.

Nice to Have

Knowledge of serverless design patterns.

Experience in performance tuning for Postgres and Node.js.

Hiring Process

Technical screening

Culture interview with CEO

We are a fast-growing B2B startup operating in international markets, looking for a motivated SDR (Sales Development Representative) to join our sales team. This is a role with real responsibility and hands-on exposure to global B2B sales.

The Role Focus

 • This position is primarily focused on lead generation and outbound prospecting

 • You will be responsible for sourcing, researching, and qualifying leads

Who You Are

● 2+ years of experience as an SDR / BDR in a B2B environment (experience with full-cycle sales is a strong advantage)

● Strong passion for sales, business, and startups

● Proven ability to write clear, compelling outbound messaging and prepare commercial proposals

● Experience with lead qualification and outbound prospecting (LinkedIn, email outreach, databases, etc.)

● Highly organized, self-driven, and comfortable working with KPIs and CRM systems

● Strong written communication and stakeholder management skills

Nice to Have

● Experience selling B2B SaaS or technology solutions (especially with insurance)

● Familiarity with CRM tools and outbound platforms

We are seeking a highly skilled and motivated DevOps Engineer to join our Core Team. In this role, you will be a key player in bridging the gap between development and operations, ensuring our systems are scalable, resilient, and automated. You will manage a hybrid environment consisting of AWS Cloud, Digital Ocean services and on-premises servers, leveraging modern GitOps workflows to streamline deployment in Microservices and Serverless architectures.

Key Responsibilities: 
● Hybrid Infrastructure Management: Design, implement, and maintain scalable infrastructure across AWS and on-premises data centers. 
● Automation & IaC: Treat infrastructure as software by using Terraform or CloudFormation to automate resource provisioning and configuration. 
● Container Orchestration: Manage and scale containerized applications using Kubernetes, utilizing Rancher for multi-cluster management and visibility. 
● GitOps Delivery: Implement and maintain continuous delivery pipelines using ArgoCD to ensure the desired state of our clusters matches our Git repositories. 
● CI/CD Pipeline Development: Design and optimize automated build and deployment workflows using GitHub Actions. 
● System Administration: Manage and tune Linux (Ubuntu) environments for performance, security, and reliability. 
● Databases: manage database infrastructure, including replicas, backups, point-in-time recovery, monitor database performance and collaborate with developers to optimize queries and indexing strategies.

Required Qualifications: 

1. Cloud & Core Infrastructure 
● AWS Mastery: Proven experience with core AWS services (EC2, S3, SQS, CloudWatch, RDS, VPC, IAM). 
● Hybrid Experience: Hands-on experience managing and troubleshooting on-premises physical or virtualized servers. 
● Linux Expertise: Deep knowledge of Linux administration, with a strong preference for Ubuntu. 

2. Orchestration & Continuous Delivery
● Kubernetes & Rancher: Solid experience deploying and managing production-grade K8s clusters. 
● ArgoCD & GitOps: Experience implementing GitOps patterns for automated, declarative application deployments. 
● CI/CD: Proficiency with Git and GitHub Actions for automating testing and deployment cycles. 

3. Automation & Development 
● Infrastructure as Code (IaC): Advanced proficiency in Terraform, CloudFormation, or similar tools. 
● Programming: Strong Python scripting skills for task automation, custom tooling, and interacting with APIs. 

4. Modern Architecture 
● Architectural Patterns: Deep understanding of Microservices and Serverless (e.g., AWS Lambda) design principles. 

5. Databases 
● Relational DBs: Deep experience with PostgreSQL administration (vacuuming, indexing, replication, and backup strategies). 
● NoSQL & Cloud Native: Proficiency in AWS DynamoDB, understanding GSIs, LSIs, and TTL configurations.

Preferred/Bonus Qualifications: 
● Experience with Workflow Management platforms such as Apache Airflow. 
● Experience with monitoring and observability stacks (Prometheus, Grafana, ELK). 
● Strong communication skills and the ability to work effectively in an agile, collaborative environment.
 

About the Role

We are looking for a highly technical GTM Manager to design, build, and optimize our go-to-market automation engine.
This role sits at the intersection of marketing strategy, growth operations, and systems engineering. Your mission is to turn our GTM stack into a seamless, scalable, and automated machine.

Key Responsibilities

• Design and build complex multi-step workflows in n8n for outbound and inbound GTM processes
• Automate outbound prospecting, lead routing, and sales handoff
• Develop automated lead enrichment pipelines (scraping, verification, enrichment)
• Integrate and maintain GTM tools via REST APIs, Webhooks, and JSON transformations
• Monitor workflow performance, troubleshoot API errors, and optimize automation costs
• Set up and manage email deliverability infrastructure (SPF, DKIM, DMARC, domain rotation)
• Support scalable personalization using AI (OpenAI API) for enrichment and messaging

Technical Requirements

• Expert-level experience with n8n (self-hosted or cloud)
• Strong understanding of REST APIs, Webhooks, JSON
• Hands-on experience with GTM tools:
  • Apollo
  • HubSpot or Salesforce
  • Instantly.ai
  • LinkedIn automation tools
• Experience using AI / OpenAI API for lead enrichment or personalization
• Ability to maintain and scale automation systems in production

Nice to Have

• Basic JavaScript knowledge (for n8n Function nodes)
• Background in Growth Hacking, RevOps, or Marketing Operations

Requirements

• Based in Ukraine (remote)
• Upper-Intermediate or Advanced English
• Strong analytical and problem-solving mindset

We are seeking a Team Lead React/ Node.js to lead a small, high-impact engineering team

responsible for our customer-facing web platform and API, and an internal platform used for AI

model training. This role is both hands-on and leadership-oriented, with a strong focus on technical

ownership, system design, and product-team collaboration.

The ideal candidate combines deep technical expertise in modern TypeScript-based development

with experience guiding engineers, improving workflows, and shipping high-quality features in a

fast-paced startup environment.

Key ResponsibilitiesTeam Leadership

Lead a team of two full stack developers and one QA engineer.

Provide ongoing mentorship, code reviews, and technical direction.

Facilitate Scrum ceremonies and maintain smooth execution of sprints.

Ensure high engineering standards, testing quality, and delivery velocity.

Technical Ownership

Own the development and maintenance of our customer-facing web platform (React +Node.js), external APIs and Internal Platform.

Lead architecture, design, and implementation of backend services using AWS Lambda

(serverless) and containerized workloads on EC2.

Oversee performance, reliability, and scalability of the Postgres RDS database.

Drive improvements to CI/CD pipelines, build systems, testing strategy, and infrastructure

reliability.

Ecosystem & Tooling

Work within a monorepo environment.

Manage Infrastructure as Code using CloudFormation.

Maintain monitoring, logging, and alerting pipelines using Coralogix.

Ensure robust automated testing using Cypress and Vitest.

Maintain Docker-based development environments and EC2 deployments.Cross-Team Collaboration

Partner directly with Product Managers to translate requirements into technical plans.

Coordinate with other engineering teams under the CTO to align architecture, standards, and

shared components.

Key Projects They Will Own

Customer-facing web platform (React + Node.js + AWS) and API.

Internal platform for AI model training, including backend services and supporting tooling.

Ongoing modernization and scaling efforts across the stack.

Culture & Working Style

Scrum-based, iterative development

High autonomy—engineers are trusted to own problems end-to-end

Fast-paced startup with rapid decision-making and high impact

Qualifications

Strong experience with TypeScript across frontend and backend.

Hands-on experience with React, Node.js, AWS Lambda, EC2, Postgres RDS, and Docker.

Experience leading or mentoring engineers.

Solid understanding of CI/CD (GitHub Actions), automated testing, logging, and monitoring.

Ability to work directly with Product and translate requirements into architecture and tasks.

Nice to Have

Knowledge of serverless design patterns.

Experience in performance tuning for Postgres and Node.js.

Hiring Process

Technical screening

Culture and leadership interview with CEO

Join our Core Team as a highly skilled Python Developer to build and scale our high-load Geospatial AI Data Platform. You will be the critical link, productionizing Data Science models and transforming massive volumes of raw imagery into meaningful, structured insights that power our client-facing product. If you're driven by complex, high-scale big data challenges, this is the role for you. 

Key Responsibilities: 
● Data Pipeline Development: Implement and optimize robust ETL data pipelines for collecting, cleaning, transforming, and loading large volumes of geospatial data. 
● API Development & Deployment: Design, build, and maintain high-speed, scalable RESTful APIs (using frameworks like FastAPI/Powertools for Lambda). 
● Model Integration & Productionization: Work closely with Data Scientists to containerize and deploy models (e.g. roof age prediction) into our Geospatial AI Data Platform. 
● Code Quality & Optimization: Write clean, efficient, testable, and reusable Python code. Optimize data processing and platform latency to handle requests and queries at massive scale and high volume. 
● System Architecture: Contribute to the design and implementation of our Microservices and Serverless architectures, ensuring high availability, security, scalability and observability. 
● Collaboration: Work within an Agile team alongside Data Scientists, DevOps, and Product Managers to translate business requirements into technical solutions.

Required Qualifications: 
● B.Sc. degree in Computer Science or a related technical field. 
● Demonstrable professional experience as a Python Developer with a focus on data-intensive backend systems (4+ years). 
● Expert knowledge of Python 3, follow PEP8. 
● Experience developing using OOP and SOLID principles. 
● Proven experience designing and developing production-ready APIs using a modern Python web framework such as FastAPI or Powertools for AWS Lambda. 
● Experience with AWS services such as S3, SQS, EC2, API GW, Lambda, DynamoDB, CloudFormation/SAM using boto3. 
● Experience with Docker/Kubernetes. 
● Experience with Linux, preferably Ubuntu. 
● Experience with SQL Databases (e.g. PostgreSQL) 
● Experience with version control (Git) and collaborative development workflows. 
● Good communication skills in English

Preferred/Bonus Qualifications: 
● Experience with geo-spatial libraries (e.g., Geopandas, GDAL, Shapely, Rasterio). 
● Familiarity with model serving technologies such as NVIDIA Triton Inference Server. 
● Experience with Workflow Management platforms such as Apache Airflow. 
● Experience with on-prem servers. 
● Knowledge of CI/CD pipelines (GitHub Actions) and DevOps best practices