Product Manager, Data Scientist (AI)

Location: Santa Clara, CA, United States; relocation eligible; travel required 20% of the time.

Salary: $100,000.00–$136,500.00 per year.

Company

hirify.global develops materials science and engineering solutions and equipment for semiconductor chips and advanced displays.

What you will do

• Define product vision, strategy, roadmaps, requirements, user stories, acceptance criteria, and measurable outcomes for data science-enabled products.
• Identify customer and business problems through research, data analysis, stakeholder interviews, and market insight.
• Partner with data science, data engineering, software engineering, design, and business teams from discovery through launch, adoption, monitoring, and continuous improvement.
• Develop analytical models, machine learning solutions, forecasting capabilities, and automated workflows for material, demand, wafer defectivity, and removal-rate use cases.
• Architect an Intelligence Hub and build scalable SQL pipelines in Databricks and Hadoop for automated Tableau dashboards and real-time product-line visibility.
• Implement SPC and anomaly alerting, synchronize Sales, Operations, and Finance data, and guide experimentation, pilots, and validation plans.

Requirements

• Bachelor’s degree in a quantitative, technical, business, or related field, or equivalent practical experience.
• Working knowledge of the data science lifecycle, including data preparation, feature development, experimentation, model evaluation, deployment, and monitoring.
• Strong analytical skills and experience using data to frame problems, evaluate options, and measure outcomes.
• Ability to communicate effectively with data scientists, engineers, business leaders, customers, and executive stakeholders.
• Strong prioritization, problem-solving, and decision-making skills in ambiguous environments.

Nice to have

• Advanced degree in data science, computer science, statistics, engineering, operations research, business, or a related discipline.
• Experience with enterprise, industrial, manufacturing, or technically complex products and workflows.
• Familiarity with SQL, Python, business intelligence tools, cloud data platforms, MLOps, and model monitoring.
• Experience taking machine learning or advanced analytics solutions from prototype to production.
• Knowledge of Python, SQL, R, Java, C/C++, JavaScript, Databricks, Spark, Hadoop, AWS, Google Cloud, Docker, databases, Tableau, Power BI, and advanced analytics methods.

Culture & Benefits

• Full-time regular employment with a supportive culture focused on learning, development, and career growth.
• Comprehensive benefits supporting employee health and wellbeing.
• Potential eligibility for bonus and stock award programs, subject to applicable conditions.
• Work includes 20% travel and is based at the Santa Clara location.