Product Manager - Algorithms (Flexible Level)

Canva
San Francisco,$254k – $332kPosted 13 April 2026

Job Description

Flexible level -  We’re intentionally hiring flexibly for this role, it comes with significant ownership and impact, with flexibility to tailor scope and level based on your experience. Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.   About the Role As an Algorithms Product Manager, you will play a crucial role in steering the personalization strategy at Canva. Reporting to the Chief Algorithms Officer, you will have the opportunity to lead cross-functional teams in developing and implementing sophisticated algorithms that enhance user engagement and retention. Your work will be instrumental in building a personalization moat that strengthens Canva’s competitive edge. This role demands a blend of strategic vision and hands-on execution, as you collaborate with various teams to elevate Canva’s user experience to unprecedented heights. You will lead the development of personalization algorithms that enhance user engagement and retention. You will help discover impactful opportunities to apply ML algorithms in partnership with business leaders and stakeholders. You will collaborate with ML engineers and researchers, backend and frontend engineers, data scientists, and designers to integrate AI/ML models into Canva’s product offerings. You will provide strategic direction for the personalization roadmap, aligning it with Canva’s broader business goals. You will analyze user data to uncover insights and drive data-informed decision-making. You will communicate complex algorithmic concepts to non-technical stakeholders, fostering a culture of cross-disciplinary collaboration. You will continuously monitor and refine personalization strategies to ensure they meet user needs and business objectives. You're probably a match if We are seeking a product leader with a deep understanding of machine learning and its application in personalization, discovery, and growth. You are a data-driven innovator with a knack for translating complex algorithms into meaningful user experiences. Your ability to communicate effectively with both technical and non-technical audiences sets you apart. You thrive in a collaborative environment, where your passion for user-centric design and strategic thinking can drive tangible business outcomes. Strong expertise in machine learning, data analysis, and personalization algorithms. Proven track record of leading cross-functional teams in a fast-paced environment. Excellent communication skills, with the ability to articulate complex ideas clearly and persuasively. A deep understanding of user experience design and its impact on product success. A postgraduate degree (MS or PhD) in an applied quantitative field such as Machine Learning, Statistics, Operations Research, Information Theory, Control Theory, or Econometrics.   What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Health benefits plans to support you and your wellbeing 401(k) retirement plan with company contribution Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally At Canva we value fairness, and we strive to provide competitive, market-informed compensation whilst ensuring internal equity within the team in each region. We make hiring de ... (truncated, view full listing at source)
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