Staff Data Product Manager – Machine Learning

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🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 CA$164k - CA$248k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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NerdWallet

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

💸 Finance

💳 Fintech

💰 Secondary Market on 2021-05

Finance • Fintech

NerdWallet is on a mission to help provide clarity for consumers and SMBs so they can make financial decisions with confidence. The company prides itself on cultivating an award-winning culture that fosters equity and inclusivity, allowing its employees, known as 'Nerds', to thrive. It invests heavily in its workforce through professional development and community engagement, focusing on helping the underserved and unbanked populations through its Corporate Social Responsibility programs. NerdWallet has been recognized for its positive workplace culture and commitment to making a tangible difference in the lives of consumers.

📋 Description

• Own the ML product roadmap across NerdWallet • Partner with business verticals, Data Scientists, and Engineering teams to identify high-impact opportunities • Take predictive models from idea through production and adoption • Evaluate modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy • Navigate ML infrastructure decisions including model serving, feature pipelines, batch vs. real-time inference, latency, and production dependencies • Translate ambiguous business problems into model objectives, technical requirements, and measurable success criteria • Prioritize the ML roadmap across verticals based on business impact, technical feasibility, and engineering capacity • Work across Data Science, Data Engineering, Product Engineering, and business teams to integrate predictions into consumer experiences, real-time decisioning systems, and business workflows • Ensure launches are production-ready with clear dependency ownership and validated performance • Collaborate on experiments, A/B tests, and causal measurement • Define and monitor predictive, reliability, adoption, and business-outcome success criteria • Explain model performance, trade-offs, limitations, and revenue impact to senior stakeholders • Set the long-term vision for ML products, influence without formal authority, and mentor product managers and partners • Report to the VP, Data & Analytics

🎯 Requirements

• 7+ years in Data Product Management, Data Science, Machine Learning, or a related technical field • Track record of shipping production ML or data products • Deep fluency in applied ML: training data, ground truth, loss functions, precision/recall, overfitting, and model evaluation • Strong understanding of ML platforms and infrastructure: model serving, feature pipelines, batch vs. real-time inference, latency trade-offs, and deployment workflows • Experience partnering directly with Data Scientists and ML Engineers • Experience with Databricks, Snowflake, AWS, or similar • Strong business sense connecting ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency • Excellent communication and cross-functional leadership • Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience • Must be located in Canada, except Quebec

🏖️ Benefits

• Monthly Healthcare Stipend • Rejuvenation Policy – Vacation Time Off • Official public holidays in your province • Paid sabbatical • Monthly Wellness Stipend • Wifi Stipend • Cell Phone Stipend • Work from home equipment stipend • Employee Resource Groups • Hackathons and team events • Company-wide events • RRSP with a 4% match, eligible one month after hire • Financial wellness guidance • Unlimited access to a Certified Financial Planner (CFP) through Northstar

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