Lead Software Engineer Ads

Role Overview

Lead a team of software engineers building scalable services, APIs, and SDKs that power Jane’s digital merchandising and advertising platform (Ads).

Responsibilities

• Lead and grow a team of 3–4 engineers, including hiring support, regular 1:1s, goal setting, and performance feedback.
• Drive architecture and design decisions for the ads platform; set technical direction and build consensus with staff engineers.
• Partner with Product Managers to shape advertising offerings that are robust and easy to use.
• Collaborate with Data Scientists and Machine Learning Engineers to collect/analyze data and iterate to improve advertising performance.
• Establish and evolve engineering standards (e.g., code quality, review culture, and technical process).
• Lead and participate in design reviews and code reviews; identify and resolve performance bottlenecks.
• Work across technical leads to set shared prioritization frameworks and ensure delivery aligns with roadmap goals.
• Identify capability/process gaps and propose concrete improvements.

Requirements

• 6+ years professional software engineering experience on a product-centered team.
• 2+ years in a lead and/or people-management role, with a track record of shipping meaningful work through a team.
• Lead-level ownership: navigates ambiguity and proactively moves work forward against business goals.
• AdTech experience, ideally retail media, sponsored listings, or marketplace advertising.
• Hands-on with one or more areas such as:
  • ad serving and real-time decisioning
  • campaign pacing and budgeting
  • attribution and measurement
• Understands AdTech constraints: low-latency decisioning at scale, accurate pacing/billing, and closed-loop measurement from impression to conversion.
• Systems-level problem solver across distributed systems/infrastructure.
• Strong CS fundamentals (data structures, algorithms, code design principles).
• Proficient in at least one system language (Go preferred, or Java/etc.) and able to adapt to a rapidly evolving stack.
• Database fluency across relational, columnar, and document-based databases.
• Strong technical communication and collaboration/mentorship mindset.

Nice-to-haves

• Not explicitly stated beyond the AdTech/retail media and system-language preferences.