PolicyMe

Software Engineer Manager (Remote) at PolicyMe (Ontario, Canada)

PolicyMe· Ontario, Canada·

Role details

Work type
Remote
Employment
Full-Time

Job description

Overview of the role

We’re on a mission to modernize insurance, making it simpler, more accessible, and customer-first. The insurance industry is a $1T market that has remained largely untouched by the digital revolution, and PolicyMe is here to change that. As a remote-first, Toronto-based startup with big ambitions, we’re looking for a Software Engineering Manager to help us build the future of insurance in Canada and beyond.

As an AI Engineering Manager at PolicyMe, you will be responsible for leading and scaling a high-performance team developing an AI-powered product suite that modernizes the insurance experience. Leveraging cutting-edge AI/ML technologies, your team will build groundbreaking intelligent applications to drive PolicyMe's mission of becoming one of the biggest insurance brands in Canada.

You'll bring your leadership experience and deep expertise in AI engineering to guide the team in architecting scalable, secure AI systems. Under your direction, the team will employ AI capabilities like natural language processing, computer vision, and recommendation engines to create innovative products that streamline operations and deliver data-driven insights. You’ll use your leadership and technical experience to guide the team in making strategic decisions, optimizing AI development processes, and maintaining rigorous practices for deploying AI responsibly and at scale.

What you'll be doing:

  • Lead and manage a team of fullstack/AI engineers, provide mentorship, performance feedback and enable career growth for the team
  • Oversee technical design, development and deployment of fullstack web applications backed by AI technology
  • Collaborate with product, design, and QA teams to ensure seamless execution and delivery of cross-functional projects.
  • Drive architecture decisions for scalable, reliable, secure cloud-based AI platforms that align with business objectives
  • Foster an innovative environment for exploring state-of-the-art AI techniques
  • Lead technical decision-making ensuring alignment with product/company objectives
  • Promote continuous learning and uplift team's expertise in emerging AI technologies

What we are looking for:

  • 7+ years in software development, with 2+ years managing engineering teams
  • Strong technical leadership building and operating production AI systems at scale
  • Proven expertise in AI/ML disciplines like NLP, computer vision, recommendation systems
  • Strong technical background in web development, ideally in a full-stack environment with expertise in React, Python, and Node.js
  • Experience with cloud architecture, DevOps, data/ML pipelines and infrastructure
  • Exceptional people management skills to motivate, mentor and grow high-performers
  • Excellent communicator able to simplify technical AI/ML concepts for cross-functional teams
  • Proven ability to lead teams in an agile, fast-paced environment, with a strong focus on collaboration and stakeholder management
  • A track record of delivering complex projects with a focus on scalability, reliability, and security

Reports to: VP of Engineering

Why join us:

  • Generous PTO - 20 vacation days
  • Access to stock options and a comprehensive benefits plan
  • A remote-first team with company paid, in-person socials and the option to work from our Toronto-based office
  • Resources to help your professional development, including an L&D budget, performance reviews twice a year and ongoing feedback to ensure you reach your highest potential
  • Work with an empathetic, high-performing team in a flexible, results-oriented environment
  • Compensation: The total target cash compensation for this role is $170,500 - $192,500 CAD, based on experience. We’ll walk through the details together during the interview.

Why work at PolicyMe

  • Remote-first: No in-office mandate; work from anywhere in Canada with the option to use a downtown Toronto office.
  • Compensation & Benefits: Competitive total compensation reviewed annually; comprehensive benefits from day 1; 4 weeks paid time off.
  • Professional Development: Learning resources, unique growth opportunities, and support for continuous skill-building.
  • Culture: Emphasis on trust, open dialogue, and continuous feedback. Regular in-person and virtual team events (e.g., summer island party, holiday celebrations).
  • Engineering Culture: Modern tech stack (details not public), focus on building large-scale distributed systems; leadership includes CTO with Bloomberg background.
  • Open Roles: Software Engineer (Junior, Senior, Manager), Principal Product Manager, Licensed Insurance Advisors, Talent Acquisition Manager – all remote.

Application questions