Full Stack ML & Data Product Engineer, Churnkey, Inc.
$125-200k
+ 0.0% to 0.75% equity in the form of options
Helping subscription businesses enhance customer retention and optimise revenue streams
Be an early applicant
Helping subscription businesses enhance customer retention and optimise revenue streams
1-20 employees
Be an early applicant
$125-200k
+ 0.0% to 0.75% equity in the form of options
1-20 employees
Company mission
To reduce churn, facilitate payments, and drive more revenue for companies built on recurring revenue.
Role
Who you are
- Demonstrated experience building applied AI/ML systems
- Practical experience designing and maintaining data products that power product features and insights
- Solid understanding of core AI/ML concepts and ability to weigh tradeoffs between approaches
- Proficiency in modern full-stack development: Vue.js, React.js, Python, Node (Javascript and Typescript ) and related frameworks/libraries
- Experience with cloud platforms such as AWS and Azure
- Strong analytical and problem-solving skills with a focus on delivering innovative solutions
- Excellent communication skills and ability to work effectively in a collaborative team environment
- Ability to thrive in a fast-paced startup environment and adapt quickly to new challenges
- Experience with modern build tools (Vite, Rollup, Webpack)
- Comfortable building and troubleshooting across the stack — from database and APIs to user interfaces
Desirable
- Experience integrating with payment processing platforms (primarily Stripe)
- Experience building with AI/ML technologies (e.g., OpenAI API, large language models, agent frameworks)
- Experience with modern data platforms and tools (e.g., dbt, Snowflake/ClickHouse, Kafka, etc) to support production data workflows
- Familiarity with email/SMS services (Postmark, Sendgrid, Twilio)
- Demonstrates a strong bias toward action by actively contributing to open-source projects/communities and/or building interesting side projects
- Strong opinions, loosely held - willing to advocate for ideas while staying pragmatic and collaborative
What the job involves
- Architect and build data product solutions — including analytics pipelines, data models, instrumentation, and experimentation frameworks — that transform raw data into reliable, user-facing product features
- Architect and build applied AI/ML solutions, including agents, recommendation systems, optimization-driven decision frameworks, and ML pipelines that directly improve customer retention
- Evaluate tradeoffs in both AI/ML approaches (e.g.,statistical models vs. neural networks, heuristic vs. learning-based approaches, deterministic vs. probabilistic agents) and data product design (batch vs. streaming pipelines, dimensional modeling vs. denormalized stores, warehouse vs. lakehouse strategies) to guide the team on accuracy, scalability, and cost
- Drive end-to-end feature implementation, applying independent judgment to build pragmatic, user-focused solutions that move the product forward quickly and sustainably
- Develop and/or maintain existing product/features using Vue.js, React.js, Python, Node and other relevant technologies
- Contribute to the design and architecture of scalable and maintainable solutions that consistently deliver incremental value
- Conduct code reviews, provide constructive feedback, and mentor junior team members
- Stay updated with the latest industry trends, practices, and technologies relevant to our tech stack
Application process
- 20 minute screen with an engineer
Our take
In a world where it's easier than ever to cancel a subscription, companies need better tools to understand why customers leave - and how to stop them. That's where Churnkey come in with its retention automation platform. It's built specifically for subscription-based businesses and helps them keep more customers.
Churnkey helps businesses tackle both voluntary churn (when users choose to cancel) and involuntary churn (like failed payments). And with features like personalised cancel flows that save around 54% of customers and precision payment retries that recover up to 89% of failed payments, Churnkey is turning churn management into a revenue driver.
Already trusted by forward-thinking companies like Veed, Sudo Write, EverBee, and Jenni, Churnkey helps them reduce churn and strengthen their customer relationships. And with this growing list of customers and proven results, Churnkey is very much setting the standard for what modern retention software should look like.
Steph
Company Specialist at Welcome to the Jungle
Company
Company HQ
Charleston, SC
Leadership
Nick Fogle
(Co-Founder & CEO)Previously, Nick co-founded Wavve and served as a Founding Engineer at Casa. Prior to this, he spent 3 years at Blackbaud, joining as an Interactive Designer before becoming an Enterprise Solutions Specialist and then Senior Developer.
Baird Hall
(Co-Founder & CGO)Alongside Churnkey, Baird is a co-founder at Zubtitle. He also previously co-founded Wavve alongside Nick and worked in Digital Marketing at Fount Studio.
Scott Hurff
(Co-Founder & CPO)Previously, Scott was a Founding Designer & Head of Design at Casa. He was also a Director of Product Design at Philosophie Group, a Product Manager & Lead Designer at Tinder, and the Head of Product at Tappy.
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