Engineering Manager, AI Insights

Menlo Ventures; Canada; On-site; CAD 200,000 - 250,000; Full time

Job summary

A leading technology firm in Canada is looking for an Engineering Manager for AI Insights to lead a high-performing team. You will shape the technical roadmap, foster team development, and manage ML product delivery in cloud environments. Ideal candidates have over 8 years in software engineering with strong leadership experience. This role offers a competitive salary ranging from $200,000 to $250,000 CAD and excellent benefits, including health coverage and a retirement plan.

Benefits

Health Benefits

Retirement Planning

Learning & Development

Wellness Support

Team Connection Activities

Qualifications

• Experience building scalable applications with large data volumes.
• Proven experience managing ML products.
• Strong mentorship presence in previous roles.

Responsibilities

• Define the technical roadmap for AI features.
• Lead a team building capabilities critical to success.
• Monitor quality, performance, and customer outcomes.

Skills

Software engineering

Machine learning

Leadership

Agile methodologies

NLP

Communication skills

Collaboration

Education

8+ years in software engineering

3+ years in engineering management

Tools

AWS

Azure

GCP

Ruby

React

PostgreSQL

Job description

Overview

Affinity is scaling rapidly across new markets and use cases. We need exceptional leaders to deliver on our vision of putting relationship intelligence at every professional's fingertips.

As Engineering Manager for AI Insights, you will lead and scale a team responsible for developing the foundations of AI features and services within Affinity. This is a technical leadership role where you shape the technical roadmap, drive end-to-end implementation, and guide technology and architectural decisions with the team.

Your charter is to leverage data and AI techniques to derive actionable insights and enable delightful customer experiences. You will work with cutting-edge technologies, ship rapidly, and see direct impact on company revenue and growth. We are looking for an experienced Engineering Manager who excels at career development, mentorship, and scaling high-performing ML engineering teams.

What You'll Do

• Technical Leadership & Strategy
  • 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
• Team Leadership & Development
  • Lead, coach, and inspire a team building capabilities 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 raise technology standards
  • Mentor engineers and accelerate their career growth
  • Identify gaps and create processes that enable the team to be more efficient and successful
• Hands-On Contribution & Delivery
  • Be an active contributor and have opportunities to be hands-on in the platform 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

What You Bring

Required Qualifications

Note: The following includes a diversity-focused message encouraging applicants. If your past experience does not perfectly align with every qualification, you are encouraged to apply anyway.

• 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 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

Nice to Have

• Experience with Databricks
• Deep familiarity with AWS ecosystem
• Knowledge of LLM ecosystem and prompt engineering techniques for enhancing user experiences
• Experience with Ruby, React, or PostgreSQL
• Background building data-intensive applications

Our Tech Stack

• Frontend: React, TypeScript
• Backend: Ruby, PostgreSQL
• Data Platform: Kafka, AWS SQS, Redis, Databricks, Spark, AWS SageMaker, turbopuffer
• Infrastructure: Terraform, Python for serverless, AWS, Kubernetes (EKS)
• AI/ML: AWS Bedrock, Anthropic (LLM subprocessor)

What you’ll enjoy at Affinity

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• 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.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $200,000 to $250,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.

At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment.

Additional Information

• This job posting represents an active vacancy that we are currently seeking to fill.

About Affinity

With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. Our Relationship Intelligence platform uses data exhaust from interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive deals every month. We are proud to have received Inc. and Fortune Best Workplaces awards and to be Great Places to Work certified for the last 5 years running.

We use E-Verify. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including rights and responsibilities, please visit the national guidance in general terms.