Senior Manager, Data Science (AI)

Location: Hybrid in Seattle, Washington, US; must work in the hirify.global Seattle office at least 4 days per week.

Salary: $191,000.00–$297,000.00 annual, with possible performance-based incentives or bonuses.

Company

hirify.global operates digital shopping experiences focused on helping customers discover and purchase products.

What you will do

• Set the data science strategy for personalization, recommendations, search, browse relevance, customer and product understanding, experimentation, and measurement.
• Partner with Product, Engineering, UX, and business leaders to identify high-value customer problems, define hypotheses and success measures, and guide decisions.
• Build experimentation and measurement practices connecting model performance with customer behavior, conversion, revenue, engagement, and business outcomes.
• Develop capabilities in experimentation, causal reasoning, optimization, personalization, recommendation systems, ranking, and customer understanding.
• Use GenAI, LLMs, and agentic architectures to accelerate research, experimentation, evaluation, learning, and decisioning.
• Partner with Engineering on reusable platforms and scalable capabilities, while building, coaching, and developing data scientists and ML operations engineers.

Requirements

• 10+ years of hands-on experience in Data Science or Machine Learning roles.
• 3+ years managing Data Science, Applied Science, or Machine Learning teams working on customer-facing products.
• Bachelor’s degree in statistics, computer science, mathematics, engineering, or another quantitative field, or equivalent practical experience. An advanced degree is preferred.
• Deep experience in at least one of personalization, recommendation systems, search or ranking, customer modeling, marketplace optimization, or digital commerce.
• Strong knowledge of experimentation, statistical measurement, and causal inference.
• Ability to connect scientific work to product and business decisions and distinguish technically interesting work from work that improves customer outcomes.
• Experience moving teams from bespoke model development toward reusable platforms, frameworks, or scalable capabilities.
• Experience applying modern machine learning and GenAI techniques to customer or business problems, including daily use of AI tools and agentic or LLM-based approaches in decisioning.
• Hands-on comfort with Python, SQL, and large-scale data such as BigQuery, with the ability to read, review, and guide team code and outputs.
• Ability to lead organizational change, establish standards, raise team performance, hire and coach employees, manage performance, develop succession plans, and create technical leadership.
• Ability to communicate complex scientific ideas clearly and influence senior Product, Engineering, and business leaders.

Nice to have

• Familiarity with open-source AI resources such as Hugging Face and OpenRouter.
• Familiarity with cloud ML platforms such as Google Vertex AI and AWS.
• Advanced degree in a quantitative field.

Culture & Benefits

• Applied data science culture focused on customer problems, decisions, experimentation, and measurable outcomes rather than model production alone.
• Medical, vision, dental, retirement, paid time away, life insurance, and disability benefits.
• 401(k), PTO accruals, holidays, and employee assistance resources.
• Merchandise discount and possible performance-based incentives or bonuses.