Staff Data Product Manager (Machine Learning)

Location: Remote, based in the U.S.

Salary: $140K–$246K, plus equity.

Company

hirify.global provides clarity for financial decisions and uses machine learning to understand consumers, personalize experiences, and connect them with suitable financial products.

What you will do

• Own and prioritize the ML product roadmap across business verticals, balancing impact, feasibility, and engineering capacity.
• Partner with Data Scientists, ML Engineers, Data Engineers, Product Engineers, and business teams to move predictive models into consumer experiences, real-time decisioning systems, and business workflows.
• Translate ambiguous business problems into model objectives, technical requirements, dependencies, and measurable success criteria.
• Navigate training data, ground truth, feature strategy, model serving, feature pipelines, batch versus real-time inference, latency, and deployment decisions.
• Define and monitor predictive performance, reliability, adoption, experiments, A/B tests, causal impact, and business outcomes.
• Set the long-term vision for ML products, influence without formal authority, and mentor product managers and partners.

Requirements

• 7+ years in Data Product Management, Data Science, Machine Learning, or a related technical field, including a 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 versus real-time inference, latency trade-offs, and deployment workflows.
• Experience partnering directly with Data Scientists and ML Engineers to challenge assumptions and manage complex dependencies.
• Experience with modern data and ML tools such as Databricks, Snowflake, AWS, or similar.
• Strong business sense and the ability to connect ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency.
• Excellent communication and cross-functional leadership skills, including influencing technical and business stakeholders without formal authority.
• Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, a related field, or equivalent practical experience.

Nice to have

• No separate optional qualifications specified.

Culture & Benefits

• Remote work for candidates based in the U.S., with medical, dental, and vision coverage for employees and dependents.
• Flexible vacation time, 11 holidays, a company shutdown, new parent leave, mental health support, and a paid sabbatical after five years.
• FSA and HSA plans, wellness, cell phone, Wi-Fi, work-from-home equipment, and co-working space stipends; some stipends are limited to remote employees.
• Employee resource groups, hackathons, team events, volunteer time off, and charitable donation matching.
• 401(k) with a 4% company match, financial wellness support, CFP access, disability insurance, and life insurance with employer-paid premiums.