Staff Data Product Manager – Machine Learning

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $140k - $246k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

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 • Work with business verticals, Data Scientists, and Engineering teams to identify high-impact opportunities • Take predictive models from idea to production to adoption • Partner with Data Science and ML Engineering on modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy • Navigate ML infrastructure decisions involving 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 • Coordinate across Data Science, Data Engineering, Product Engineering, and business teams to integrate model predictions into consumer experiences, real-time decisioning systems, and business workflows • Ensure launches are production-ready with clear dependency ownership and validated performance • Work with Data Science and Analytics on experiments, A/B tests, and causal measurement • Define and monitor success criteria for predictive performance, reliability, adoption, and business outcomes • Explain model performance, trade-offs, limitations, and revenue impact to senior stakeholders • Set the long-term vision for ML products • Influence without formal authority • Mentor other 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, including training data, ground truth, loss functions, precision/recall, overfitting, and model evaluation • Strong understanding of ML platforms and infrastructure, including 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 modern data and ML tools such as 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 based in the United States • Must be legally authorized to work in the United States

🏖️ Benefits

• Industry-leading medical, dental, and vision health care plans for employees and their dependents • Flexible Vacation Time Off + 11 holidays + holiday company shutdown • New Parent Leave • Mental health support • Paid sabbatical after 5 years • Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution • Monthly Wellness Stipend • Cell Phone Stipend • Wifi Stipend for remote Nerds • Work from home equipment stipend for remote Nerds • Co-working space subsidy for remote Nerds • Employee Resource Groups • Hackathons and team events • Company-wide events • 8 hours of volunteer time off per quarter • Company match for charitable donations • 401K with 4% company match • Early access to new financial products and tools • Financial wellness guidance and unlimited access to a Certified Financial Planner through Northstar • Disability and Life Insurance with employer-paid premiums • Equity

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume