Salary :
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Company Overview:
Jane Technologies is an MIT-founded eCommerce company in the cannabis industry experiencing rapid growth. We believe in cannabis's ability to bring well-being, health, and love to the world, and our mission is to bring confidence to the online cannabis shopping experience. Our platform connects consumers with local dispensaries and brands, creating a seamless shopping experience and delivering industry-leading insights to our retail, brand, and integration partners.
Dispensaries use Jane to sell cannabis products compliantly and efficiently. Brands plug into the platform to reach shoppers via personalized sponsored content. Shoppers engage with Jane’s online menus to make purchasing decisions via rich product content and verified reviews. These services come together to form a tightly integrated ecosystem - creating diversified revenue streams for Jane and a win-win-win equation for the industry.
Learn about our team, our culture, and if Jane is the right fit for you.
Check out our company at: https://www.iheartjane.com/team#careers
We are a small close-knit team of highly technical engineers with diverse backgrounds.
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.
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.
$135,000 - $165,000 a year
The compensation range for this position is $135,000 - $165,000 annually in addition to benefits and equity. The starting compensation is based on various factors such as skills, experience, training, and business needs. The range of a role and compensation provides the opportunity to progress as you grow and develop at Jane.
Our Benefits:
Great compensation package and equity
Remote friendly work environment with employees throughout the US and Canada
Health, Dental, Vision, 401k, Unlimited PTO, and home office stipend
Jane Technologies is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Jane Technologies, Inc. participates in the federal government’s E-Verify program, which confirms employment authorization of all newly hired employees in conjunction with the Form I-9 Employment Eligibility Verification. E-Verify is not used as a tool to pre-screen candidates. For up-to-date information on E-Verify, go to www.uscis.gov and click on 'E-Verify' located near the bottom of the page.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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