Solutions Engineer

Artie is a fully-managed real-time data streaming platform that replicates production databases into data warehouses and lakes - in real time, with zero maintenance. We make high-volume data replication simple, reliable, and scalable for engineering teams.

Our platform powers mission-critical use cases including fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI/ML workloads.

We’re trusted by teams like Substack, Alloy, and ClickUp, and raised a Series A from top-tier investors including Standard Capital, Y Combinator, General Catalyst, Pathlight, and the founders of Dropbox and Mode.

Artie is built for engineers who care about performance, reliability, and operational simplicity - and we’re growing fast.

ABOUT THE ROLE

We’re hiring our first Solutions Engineer to help scale Artie’s pre-sales and post-sales enterprise motion.

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., * 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

Database Replication, Data Warehousing, Customer Relations, Use Cases, Risk Management, Artificial Intelligence (AI), Pre-Sales, Post-Sales, Enterprise Sales, Product Demonstration, * 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

TECH STACK YOU’LL WORK WITH

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

• Base $125k - $140k
• OTE: $175k - $200k
• Competitive equity package
• Healthcare, 401(k), unlimited PTO
• Lunch & dinner provided
• Visa sponsorship available