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.