We have a strong engineering culture, which values lean development, data-driven practices.
We are rapidly growing 20% month over month and are always tackling challenging and interesting technical problems
We are building a robust, feature-rich, and easy-to-use advertising platform that improves the marketing efficiency for brands and dispensaries.
We’re AI-enabled, not AI-driven. AI tools (Claude, AI-assisted reviews, generated plans) are part of how we work, but the engineering judgement behind every decision is human.
What You Will Do
Build scalable backend services and APIs that power our digital merchandising platform.
Work with other senior engineers to contribute to high level decisions about the architecture and design.
Work with Product Managers to make Jane’s advertising product offerings sound, robust and easy to use.
Work with Data Scientists and Machine Learning Engineers to collect data, analyze data, and use data to improve advertising through iterations.
Help communicate and implement best practices across the engineering team.
Perform and participate in design reviews and code reviews.
Identify and resolve performance bottlenecks.
Qualifications
- 4+ years of professional software engineering experience in a product-centered team.
- Demonstrates senior-level ownership: independently navigates ambiguity and proactively moves work forward without waiting for direction.
- Strong Computer Science fundamentals: data structures, algorithms, and code design principles.
- Systems-level problem solver: comfortable navigating ambiguous, high-complexity challenges across distributed systems and infrastructure.
- Experience with AdTech systems, ideally retail media, sponsored listings, or marketplace advertising. Hands-on with one or more of: ad serving and real-time decisioning, campaign pacing and budgeting, or attribution and measurement. You understand the constraints that make AdTech distinct: low-latency decisioning at scale, accurate pacing and billing, and closing the loop from impression to conversion.
- Database fluency: familiar with relational, columnar, and document-based databases with a strong sense of their respective strengths and ideal use cases.
- Proficiency in at least one system language (Go preferred, Java, etc.) with a demonstrated ability to pick up new languages and adapt to a rapidly evolving stack.
- Strong technical communication: expresses ideas clearly through well-crafted code, written documentation, and verbal discussion with both technical and non-technical audiences
- Collaborative by nature: as eager to mentor and share knowledge as to learn from others, with a genuine passion for craft and how great software gets built.
- Experience in small, start-up engineering teams.
Experience proposing, provisioning and testing infrastructure with cloud ops: Terraform (preferred), Cloudformation, etc.
Skills Required
- 4+ years of professional software engineering experience
- Strong Computer Science fundamentals
- Proficiency in at least one system language (Go preferred, Java, etc.)
- Experience with AdTech systems
- Database fluency with various types of databases
- Experience with cloud ops: Terraform, Cloudformation