About the role

Engineering Manager developing AI features and services at Affinity. Leading and scaling a talented engineering team in the AI Insights department.

Responsibilities

Define the technical roadmap for AI feature delivery through cross-team collaboration, from ideation to production
Own the full ML lifecycle: understanding the current landscape, feature engineering, model construction, deployment, observability, and evaluation
Advance our approach to distributed systems and services architecture to improve agility, reduce complexity, and isolate logic across different languages
Drive complex technical, architecture, design, and product discussions
Lead, coach, and inspire a team that is building capabilities that are critical to customer and business success
Run Agile processes including daily standups, sprint planning, demos, and retrospectives
Scale the team by hiring talented engineers to deliver at high velocity and level up the technology
Mentor engineers and accelerate their career growth
Identify gaps and create processes that enables the team to be more efficient and drive their success
Be an active contributor - you will have opportunities to be hands-on in the platform in order to support your team
Own delivery of delightful, scalable and reliable capabilities through rapid development cycles
Monitor quality and performance, answer customer questions, and identify patterns to propose root cause solutions
Identify and measure the impact of the team’s work on customer outcomes

8+ years in software engineering and machine learning roles, building and delivering scalable applications with large data volumes in cloud environments (AWS, Azure, or GCP), with focus on NLP and/or Computer Vision
3+ years in engineering management, providing formal mentorship and coaching.
Proven experience as an engineer bringing ML products to production or as an Applied Machine Learning Engineer
Experience working with distributed systems at scale, consuming high volumes of data in batch or real-time for the purpose of building AI data sets
Experience working with complex SaaS platforms
Track record of managing technical roadmaps to improve platform performance, reliability, and drive toward a technical vision
Demonstrated success mentoring junior engineers and advancing their careers
Excellent communication skills with the ability to influence across functions
Strong examples of collaborating with UX engineers, application developers, and product managers to influence roadmaps, UX decisions, and feature prioritization
Passion for contributing ideas to continuously improve our product and company.

Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
Retirement Planning: We offer an RRSP plan to help you plan for your future.
Learning & Development: We provide an annual education budget and a comprehensive L&D program.
Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.