Product Engineer

Product Engineer

About Datavations 

Datavations is a leading New York-based data and AI software specializing in the $2.3 trillion dollar building materials industry. Our platform, powered by advanced Machine Learning and Artificial Intelligence, provides manufacturers with a data-driven approach to better service customers and grow their relationships with key accounts. By simplifying massive datasets into actionable business insight, we help businesses make data-driven decisions to optimize pricing, inventory, and product assortment. 

Our values 

• We value execution: momentum is everything 
• Belief in the power of positivity: we are encouraging and take risks 
• Proactive ownership: we are passionate about driving financial value with creative data product 
• Foster collaboration: we welcome help and always extend a helping hand, internally and externally 

About the Role 

In this role, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact. Expect autonomy in your work, support from a team that values continuous learning, and the chance to directly shape our solutions and strategy. 

During the first few months in this role, you will work closely with product teams, data engineers, sales, and customer success to advance our data pipeline, focusing on real-time data ingestion, dimensional data modeling, anomaly detection, and enriching our data using dbt and Clickhouse. You will then flex into supporting and owning end-to-end execution of premium solutions with customers.

Responsibilities & skills 

• Exhibit strong analytical mindset and enthusiasm for tackling technical challenges involving data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools
• Work closely with product, sales, and customer success to define and develop new dimensional data models using dbt
• Collaborate with sales and customer success to build new proprietary metrics and KPIs used by our customers
• Champion recurring, quantifiable value—operationalizing data in ways that deliver clear ROI and strengthen customer relationships
• Architect, design, and implement end-to-end solutions using an iterative, experiment-driven approach
• Work deeply with strategic customers to understand their business strategy and technical requirements
• Prototype and iterate solutions leveraging our data platform, cloud technologies, LLMs, and generative AI technologies
• Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
• Manage client relationships and provide technical support to maintain excellence and drive new product development
• Attain a holistic understanding of the entire technology from data aggregation to product delivery
• Leverage Data Visualization and UI/UX knowledge to increase customer adoption and ease of use
• Commit to rigorous documentation of coding efforts and train incoming employees
• Adopt a self-starter mentality, and inspire other team members to do the same
• Ability to work hybrid, Tuesday-Thursday in the NYC office.

Experience 

• Bachelor's degree in technical field such as Economics, Information Systems, or a related field
• Proven experience building, deploying, and maintaining dimensional data models using dbt
• Experience building end-to-end data and AI products
• Outstanding expertise and hands on experience in SQL and familiarity with data warehousing solutions (e.g., Snowflake, Google BigQuery, ClickHouse). Clickhouse is a major plus.
• Understanding of time-series statistical methods for outlier detection (Prophet, ARIMA, Tukeys Fences)
• Proficiency in Python, plus experience with containerization (Docker, Kubernetes) and CI/CD pipelines for dbt (Git, Jenkins, etc.)
• Expertise with ETL tools and best practices for large-scale data processing (Spark)
• Proven experience building data visualizations or applications (Tableau, Hex)
• Strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions
• Strong attention to detail and commitment to delivering high-quality work
• Experience in rapidly evolving projects, turning ambiguous problems into clear, measurable solutions

Why Join Datavations

• Impact at Scale: Influence a $2.3 trillion industry by shaping how data science accelerates ROI for major manufacturers.
• Autonomy & Growth: Enjoy the freedom to experiment with new technologies and see your ideas realized in production.
• Collaborative Culture: Work alongside a supportive team that values positivity, proactive ownership, and continuous learning.
• Professional Development: Grow your career through hands-on projects, mentorship opportunities, and exposure to advanced AI technologies like LLMs.