Director of Engineering

ChurnPilot; San Francisco (CA); Remote; USD 100,000 - 250,000; Part time

Job summary

ChurnPilot is seeking a skilled Director of Engineering to lead the development of their AI-driven analytics platform. In this pivotal role, you will enhance performance, scalability, and security while collaborating with cross-functional teams. This unique opportunity allows you to profoundly impact the company’s future in a dynamic, remote-first environment, with generous equity offerings.

Benefits

Significant equity in a growing startup

Remote-first work culture

Opportunity to shape technical decisions

Qualifications

• Experience deploying B2B SaaS applications on AWS.
• Hands-on experience with Snowflake and dbt.
• Comfortable writing code daily and managing deployments.

Responsibilities

• Build the technical foundation for a category-defining product.
• Design core data and ML architecture.
• Define technical culture and workflows.

Skills

Python

AWS

React

Machine Learning

Data Architecture

Tools

GitHub Actions

Docker

Terraform

Job description

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ChurnPilot is an AI-powered predictive analytics platform that helps B2B SaaS companies reduce churn, increase retention, and boost customer lifetime value. We leverage machine learning, AI, real-time data ingestion, and smart automation to surface churn risk, expansion opportunities, and actionable insights, all in one platform.

As the Director of Engineering, you'll help build the technical foundation of a category-defining product and work at the intersection of data, infrastructure, and customer impact.

The ideal candidate is an experienced engineer who understands the nuances of building performant, scalable, and secure infrastructure, while also being comfortable working across the stack as needed. Experience deploying B2B SaaS applications on AWS is highly preferred.

This is a unique opportunity to join a fast-moving, early-stage startup and play a pivotal role in the development of our platform.

TECHNICAL EXPERTISE

• Strong proficiency in Python (FastAPI) and React, with AWS infrastructure experience (especially ECS/Fargate, CDK, Secrets Manager, S3, CloudFront).
• Hands-on experience with Snowflake, dbt, and building secure data connectors to customer warehouses.
• Comfortable orchestrating LLM-based or lightweight ML systems (for QBR generation, scoring models).
• Able to manage GitHub Actions, Docker pipelines, Terraform/CDK-based deployments.

ARCHITECTURE

• Can design and own the core data + ML architecture.
• Understands tradeoffs between data warehouse-native systems vs SaaS integrations.

SECURITY & PRIVACY

• Understands how to build with least privilege principles in customer warehouse access (e.g., Snowflake role configs).
• Can implement secure customer-specific environments and protect company IP when running models inside customer infra.

STARTUP DNA

• Willing to write code daily for the next 6–12 months.
• Can deliver usable versions of new features in <1 week cycles.
• Knows when to hack and when to design for scale.
• Comfortable joining customer calls, onboarding partners, debugging data pipelines in real time.

LEADERSHIP

• Helps define technical culture, workflows, and tooling stack.
• Comfortable translating business goals into technical execution plans.

WHY JOIN US

Be a founding engineer shaping a high-impact platform with room to own major technical decisions.

Work in a remote-first, async-friendly culture optimized for builders.

Earn meaningful equity in a high-potential startup.

️ Work on modern cloud-native infrastructure in AWS with cutting-edge AI and ML integrations.

Collaborate directly with product, design, AI, ML, and customer-facing teams on meaningful problems.

Help define engineering culture, tooling, and best practices from the ground up.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Part-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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