Lead Software Engineer, Ads (Remote)

**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: ### What You Will Do - Lead a team of software engineers building scalable services, APIs, and SDKs that power our digital merchandising platform. - Work cross-functionally with other technical leads to establish shared prioritization frameworks and ensure delivery stays aligned with roadmap goals - Drive architecture and design decisions for the ads platform, setting technical direction and building consensus across the team in conjunction with staff engineers - 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. - Own and evolve engineering standards for the team, including code quality, review culture, and technical process - Perform and participate in design reviews and code reviews. - Identify and resolve performance bottlenecks through delegation. - Manage and grow a team of 3-4 engineers through regular 1:1s, goal-setting, and performance feedback - Partner with engineering leadership on hiring: help define roles, evaluate candidates, and assess technical leveling - Identify gaps in team capability or process and propose concrete improvements. You don't wait to be asked. ### Qualifications - 6+ years of professional software engineering experience in a product-centered team. - 2+ years in a lead or people-management role, with a track record of shipping meaningful work through a team, not just as an individual contributor, - Demonstrates lead-level ownership: navigates ambiguity with the team and leadership. Proactively moves work forward against business goals. - 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. - Systems-level problem solver: comfortable navigating ambiguous, high-complexity challenges across distributed systems and infrastructure. - Strong Computer Science fundamentals: data structures, algorithms, and code design principles. - 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. - Database fluency: familiar with relational, columnar, and document-based databases with a strong sense of their respective strengths and ideal use cases. - Strong technical communication: expresses ideas clearly through well-crafted code, written documentation, and team communication 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 proposing, provisioning and testing infrastructure with cloud ops: Terraform (preferred), Cloudformation, etc.