Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• BA/BS preferred in a technical or engineering field

Experience Requirements:

• 5-7 years of experience in a data engineering or data analyst role

• Experience building and maintaining product analytics pipelines

• Experience with relational databases (Snowflake, Redshift, Postgres, etc.)

• Experience with cloud providers like AWS, Azure, GCP

Other Requirements:

• Proficiency in Python, Scala, or R

• Experience with DevOps workflows and tools like DBT, GitHub, Airflow

Responsibilities:

• Architect and deliver scalable data warehouses and analytics platforms

• Partner with Product Manager to shape project roadmap

• Develop, deploy, and support analytic data products

• Maintain and support deployed ETL pipelines

• Instrument telemetry capture and data pipelines

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• BA/BS preferred in a technical or engineering field

Experience Requirements:

• 5-7 years of experience in a data engineering or data analyst role

• Experience building and maintaining product analytics pipelines

• Strong understanding of data warehousing concepts and SQL

• Experience working with cloud providers (AWS, Azure, GCP)

• Solid programming foundations and proficiency in Python, Scala, or R

Other Requirements:

• AWS cloud certification is a plus

Responsibilities:

• Architect and deliver scalable, reliable data warehouses and analytics platforms

• Partner with Product Manager to shape project roadmap

• Develop, deploy, and support analytic data products like data marts

• Instrument telemetry capture and data pipelines

• Maintain and support deployed ETL pipelines and ensure data quality

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor's degree in a technical, business, or related field

• Advanced degree (Nice to have)

Experience Requirements:

• 5+ years of experience in technical customer-facing roles

• Familiarity with AI platforms and application lifecycle management

• AI Engineering knowledge (GenAI development, prompt engineering)

• Experience supporting product adoption and customer success plans

• Working knowledge of AI/ML concepts (model deployment, inference)

Other Requirements:

• Comfortable reading code/logs to diagnose technical issues

• Strong presentation and communication skills

Responsibilities:

• Accelerate onboarding and initial application adoption

• Monitor usage and engage with customers to increase activation

• Track product usage, satisfaction, and success milestones

• Act as the voice of the customer to product and engineering

• Deliver targeted technical enablement sessions and training