• We are looking for an experienced Engineering Manager who values career development, mentorship and will support the team as we scale
• We’d love to see a track record and accomplishments in leading high-performing ML engineering teams
• You have 8+ years of experience in software engineering roles, building scalable applications with large volumes of data in any cloud-based environment like AWS, Azure, GCP
• You have 3+ years in an engineering management role, providing mentorship and coaching in a formal setting
• You have past experience as an engineer in bringing ML products to production or as an Applied Machine Learning Engineer
• You have experience working with complex SaaS platforms
• You have excellent communication skills
• You have experience managing a technical roadmap, to improve a platform's overall performance and reliability and build towards a technical vision
• You have a track record of mentoring junior engineers and helping them advance in their careers
• You're excited to work collaboratively within engineering and across functional teams e.g., UX engineers, application developers in our CRM team and product managers. You have exceptional examples of influencing roadmaps, UX decisions, and feature prioritization that result in successful product delivery
• You’re eager to contribute your ideas and experiences to help Affinity continuously improve as a product and company

Desirable

• Reporting to the Director of Engineering, you will be leading and scaling out a team that oversees the development of AI features and services of the core Affinity CRM product
• You will help define the technical roadmap and implementation for the future of our product and services and functionality end to end
• This is a very hands-on role; in addition to leading the team, you'll also be an active contributor
• The charter for this role is to leverage data and AI techniques to derive insights and package them as services while making sure the end experience is delightful
• We leverage cutting-edge technologies, and are quick to ship as our features have a direct impact on the revenue and growth of the company
• Through cross-team collaboration, define the technical roadmap for the features and functionality that make up for our AI feature delivery. This will comprise ideation to production, including feature engineering, model construction, deployment, and model observability and evaluation along while having a measurable impact on our CRM customers
• Advance our use of microservices to improve agility, complexity and isolation of logic and failures while supporting different languages. For example, our app is written in Ruby and ML services leverage Python
• Lead Agile processes like daily standups, sprint plannings, demos and retrospectives to ensure successful delivery of projects
• Lead, coach, mentor and inspire a team that owns applications that are critical to the success of our customers and our business
• Own the delivery of a delightful, reliable user experience to our users around the world through rapid cycles of development and iteration
• Be an active contributor. You’ll have the time to build meaningful features alongside your team
• Be responsible for customer experience. You will lead the monitoring of bugs and answering customer questions. You’ll also identify patterns to propose technical improvements that will address the root cause
• Drive complex technical, architecture, design, and product discussions
• Identify and fill gaps on the team, and create the processes necessary for the team’s success
• Scale the team by hiring additional talented engineers to provide the necessary velocity to meet the team’s goals