Lead Software Engineer, Ads (Remote)

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.