Sales/Solutions Engineer

About the role

This is not a demo-delivery role. You'll go deep with customers on their data architectures, run tight proof-of-value engagements, and be the technical backbone of every enterprise deal. You'll work directly with founders, shape how we position Artie technically, and set the bar for how we win.

Responsibilities

• Own the technical win
• - Run structured proof-of-value engagements with clear technical success criteria and mutual action plans
• - Partner with AEs to drive deals forward — from technical discovery through close
• - Be the trusted technical voice in the room with staff engineers, data architects, and platform leads
• Go deep on customer architectures
• - Understand how customers move data today — their databases, pipelines, cloud and on-premise infrastructure, and pain points
• - Map those architectures to Artie's capabilities with clarity and confidence (CDC, Kafka, cloud data warehouses, replication patterns)
• - Whiteboard solutions and guide customers through integration design
• Deliver compelling technical presentations
• - Translate complex technical concepts — log-based CDC, schema evolution, real-time replication — into business impact
• - Present to mixed audiences: engineers who want to see under the hood and executives who care about TCO and reliability
• Be a product and GTM force multiplier
• - Surface field insights to Product and Engineering to sharpen our roadmap
• - Solve many of the manual workflows with AI, constant thought about increasing productivity.
• - Work closely with Engineering post-sale to ensure seamless customer handoffs and support
• - Help define what great looks like for SE at Artie

Requirements

• 5+ years of experience as a Solutions Engineer or Sales Engineer in enterprise or similarly complex environments
• Deep familiarity with at least one RDBMS (Oracle, SQL Server, PostgreSQL, DB2) — you've done basic troubleshooting, understand logging/archiving, and aren't afraid of a query plan
• Working knowledge of at least one cloud data warehouse (Snowflake, Iceberg, Databricks, Redshift)
• Comfortable in the data stack — you know where tools like Kafka, dbt, and BI platforms fit and why customers use them
• Experience with cloud infrastructure (AWS, GCP, or Azure) and enough networking knowledge to hold your own in a technical solutioning conversation
• Strong communicator — you can adjust depth and frame for a data engineer and a VP of Engineering in the same meeting
• Structured and rigorous — you run POCs like a project, not a hope
• Low ego, high curiosity — you'd rather understand the customer's real problem than pitch a canned demo

Skills

• AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, DataDog, RDBMSs (Oracle, SQL Server, DB2, PostgreSQL)

Benefits

• Competitive base salary + commission
• OTE: 175k - 200k
• Competitive equity package
• Healthcare, 401(k), unlimited PTO
• Lunch & dinner provided
• Visa sponsorship available

Pay

OTE: 175k - 200k

Schedule

Full-time