AI Product Engineer

About the Role ====================

As a member of Flow's data team, you'll shape the data architecture and AI-assisted analytics that power decision-making across our multifamily real estate portfolio. We're looking for an engineer who builds robust data solutions and works directly with the people who use them every day , property managers, leasing directors, and marketing teams.

Responsibilities ---------------

• Design, build, and maintain data pipelines and architecture using Snowflake, dbt, and AWS
• Implement scalable ETL processes and data models that power analytics across the organization
• Build AI-assisted analytics and insights that help operations teams make better decisions faster , surfacing patterns, anomalies, and opportunities that traditional dashboards miss
• Tackle complex data challenges like entity resolution, multi-system attribution, and household matching
• Work directly with operations teams across leasing, marketing, and property management to translate daily workflow challenges into data and AI-powered solutions
• Own problems end-to-end , from stakeholder conversations through implementation to deployment and adoption
• Document architectural decisions and explain technical tradeoffs to non-technical stakeholders in clear, jargon-free language
• Use AI coding assistants to accelerate development while maintaining production-quality code
• Write effective prompts for AI tools and review generated solutions critically , knowing when to trust AI output and when to take over

Ideal Background ----------------

• A minimum of three years of data engineering experience building scalable data systems in operations-heavy, data-forward organizations
• Experience working in product and operations environments where data directly impacts daily business decisions
• Deep expertise in data modeling with dbt , you understand how to model around the deficiencies and quirks of upstream operational systems
• Comfort building or contributing to AI-assisted analytics , whether that’s integrating LLM-powered insights into existing workflows, building intelligent alerting, or designing systems that surface the right information at the right time
• Strong written and verbal communication skills , comfortable writing clear documentation, effective AI prompts, and explaining technical concepts to non-technical stakeholders
• High proficiency in SQL, Python, and modern data stack technologies including Snowflake, Fivetran, Dagster or Airflow, and dbt
• A solid understanding of the principles and challenges of ensuring high availability, fault tolerance, and efficiency in distributed data systems
• The ability to strike a balance between elegant design and pragmatic tradeoffs, all while prioritizing continuous delivery of value to the business
• Experience building data solutions in fast-moving startup environments
• Strong analytical skills with a natural curiosity to understand and solve complex business problems through data , and an interest in how AI changes what’s possible

Benefits --------

• Comprehensive Benefits Package (Medical / Dental / Vision / Disability / Life)
• Paid time off and 13 paid holidays
• 401(k) retirement plan
• Healthcare and Dependent Care Flexible Spending Accounts (FSAs)
• Access to HSA-compatible plans
• Pre-tax commuter benefits
• Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings