Zigsaw

Machine Learning Engineer

• Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications
• Collaborate with other engineering teams to leverage their platforms and signals
• Mentor junior engineers on the Responsible AI team and across the company
• Work with the team and senior leaders at the company to define and drive technical strategy in this area.

Senior Machine Learning Engineer – Responsible AI, Applied Research Science

Engineering Manager

• Lead a team of employees and contractors focused on solving business problems using AI tools.
• Work closely with the existing software engineering teams to develop a seamless and low friction client experience.
• Mentor junior engineers to help them grow and develop into the best that they can be.
• Motivate and lead your team to show up every day and do their best work.
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations.
• Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality.

Engineering Manager II, Enterprise AI Solutions

Sales Engineer

• Serve as the primary technical expert during the sales cycle
• Lead discovery conversations to understand client integration preferences
• Recommend measurement and attribution solutions tailored to each client’s business goals
• Troubleshoot and resolve implementation issues related to data flow, event firing, attribution, and reporting accuracy
• Translate complex technical concepts into clear, client-friendly explanations
• Work cross-functionally with Product, Engineering, and Customer Success
• Stay current on ad tech, programmatic advertising, privacy changes
• Document best practices, integration patterns, and technical solutions