Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 10,957 similar postings that came down. Coming down is not always a hire.
NerdWallet Canada · Canada
Actively hiring, first seen by us todayWhere: This is a remote position and a person can be located anywhere in Canada (with the exception of Quebec). NerdWallet is proud to be a remote-first company! We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family.
Location type: RemoteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: DataFrom the employer’s posting
- Excellent communication and cross-functional leadership, including influencing technical and business stakeholders without formal authority - Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience Where:
From the employer’s posting.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 10,957 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience partnering directly with Data Scientists and ML Engineers to challenge assumptions and navigate complex dependencies - Experience with modern data and ML tools such as Databricks, Snowflake, AWS, or similar - Strong business sense, with the ability to connect ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
NerdWallet’s mission is to provide clarity for all of life’s financial decisions. Machine learning is how we get there at scale. It helps us understand our consumers, personalize their experiences, and connect them with the financial products that fit their needs.
We’re hiring a Staff Data Product Manager to own the ML product roadmap across NerdWallet. You’ll work with our business verticals, Data Scientists, and Engineering teams to find the highest-impact opportunities and take predictive models from idea to production to adoption. The work ranges from customer lifetime value prediction to lead scoring to personalized product recommendations.
This is a product leadership role for someone who is technically fluent in ML. You won’t build models or write production code, but you’ll be a credible, peer-level partner to the people who do. You’ll challenge assumptions on ground truth, evaluation, and serving architecture, and you’ll tie every model to a business outcome.
This role reports to the VP, Data & Analytics.
Partner deeply with Data Science and ML Engineering
Dig into modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy alongside Data Scientists and ML Engineers.
Navigate ML infrastructure decisions, including model serving, feature pipelines, batch vs. real-time inference, latency, and production dependencies.
Turn ambiguous business problems into clear model objectives, technical requirements, and measurable success criteria.
Own the roadmap and drive models into production
Own and prioritize the ML roadmap across verticals, balancing business impact, technical feasibility, and engineering capacity. You’ll decide what to build, defer, or say no to.
Work across Data Science, Data Engineering, Product Engineering, and business teams to get model predictions into consumer experiences, real-time decisioning systems, and business workflows.
Make sure every launch is production-ready, with clear ownership of dependencies and validated performance against technical and business requirements.
Measure what matters
Work with Data Science and Analytics on experiments, A/B tests, and causal measurement that prove the incremental impact of ML.
Define and monitor success criteria covering predictive performance, reliability, adoption, and business outcomes.
Explain model performance, trade-offs, limitations, and revenue impact clearly to senior stakeholders.
Lead beyond your own roadmap
Set the long-term vision for ML products, influence without formal authority, and mentor other product managers and partners.
7+ years in Data Product Management, Data Science, Machine Learning, or a related technical field, with a 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 to challenge assumptions and navigate complex dependencies
Experience with modern data and ML tools such as Databricks, Snowflake, AWS, or similar
Strong business sense, with the ability to connect ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency
Excellent communication and cross-functional leadership, including influencing technical and business stakeholders without formal authority
Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience
This is a remote position and a person can be located anywhere in Canada (with the exception of Quebec).
NerdWallet is proud to be a remote-first company! We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family.
Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?)
Monthly Healthcare Stipend
Rejuvenation Policy – Vacation Time Off + You will receive the official public holidays in your province
Paid sabbatical for Nerds to recharge, gain knowledge and pursue their interests
Monthly Wellness Stipend, Wifi Stipend, and Cell Phone Stipend
Work from home equipment stipend
Have Some Fun! (Nerds are fun, too)
Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities
Hackathons and team events across all teams and departments
Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction
Plan for your future (And when you retire on your island, remember the little people)
RRSP with a 4% match. Eligible one month after hire.
Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar
NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment.
#LI-Remote
#LI-6
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Canada
Where: - This is a remote position and a person can be located anywhere in Canada (with the exception of Quebec). - NerdWallet is proud to be a remote-first company! We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. What we offer:
NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. #LI-Remote #LI-6
No clear work-authorization passage found. Eligibility is unconfirmed.