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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager, Growth based in Canada.
This role sits at the intersection of product engineering, experimentation, and user journey optimization, focused on helping users discover value faster and expand their engagement across a complex software platform. You will lead a high-performing, globally distributed engineering team responsible for improving acquisition, activation, retention, and monetization through data-driven experimentation. The role combines people leadership with strong technical involvement, requiring you to guide architecture decisions, support fullstack engineering execution, and ensure high-quality delivery of growth-focused initiatives. You will work closely with Product, Design, Data, and Analytics teams to translate insights into scalable product improvements. A key part of the role involves building a culture of experimentation, continuous learning, and AI-driven innovation. This is a high-impact leadership position for someone who thrives in fast-paced, product-led environments and enjoys shaping both teams and systems at scale.
Accountabilities:
- Lead, hire, and develop a high-performing Growth engineering team, fostering a culture of ownership, experimentation, and continuous improvement.
- Partner with Product, Design, Data, and Engineering stakeholders to define and deliver initiatives that improve user acquisition, activation, retention, and expansion.
- Own end-to-end delivery for growth initiatives, including planning, prioritization, execution, and measurement of experiment-driven outcomes.
- Drive experimentation frameworks, including hypothesis definition, ICE prioritization, A/B testing, and performance analysis.
- Guide technical design and architectural decisions for fullstack growth experiments and product improvements.
- Ensure strong collaboration across product boundaries, supporting smooth execution of cross-team initiatives and clear ownership alignment.
- Analyze experiment results and product metrics to identify opportunities for optimization and scale successful solutions.
- Promote AI-native workflows and experimentation practices to accelerate product iteration and user value delivery.
- Foster strong asynchronous communication practices across a globally distributed team.
Requirements:
- Proven experience managing engineering or product engineering teams, ideally in growth, product-led, or experimentation-driven environments.
- Strong technical background with the ability to guide fullstack engineering decisions and architectural discussions.
- Experience working in highly cross-functional environments with Product, Design, Data, and Analytics teams.
- Demonstrated success delivering measurable growth outcomes through experimentation and iterative development.
- Strong understanding of A/B testing, product analytics, and data-informed decision-making.
- Ability to translate complex technical and product concepts into clear, actionable direction for diverse stakeholders.
- Experience managing remote or globally distributed engineering teams in asynchronous environments.
- Strong leadership skills with a focus on coaching, team development, and high-performance culture building.
- Familiarity with developer tools and product-led growth environments is an advantage.
- Interest in AI-driven development workflows and applying emerging technologies to improve product outcomes.
Benefits:
- Competitive compensation package with performance-based incentives.
- Equity opportunities aligned with long-term company growth.
- Flexible, fully remote-friendly working model across Canada and beyond.
- Strong focus on experimentation, innovation, and AI-enabled engineering practices.
- Comprehensive health, wellness, and financial benefits.
- Generous time off and policies supporting work-life balance.
- Learning and development support, including career growth programs and internal mobility.
- Opportunity to lead impactful growth initiatives in a globally scaled product environment.
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