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What you'd actually do: Run proof-of-value engagements and technical discovery with AEs, presenting Artie's data replication platform to data engineers and executives at enterprise prospects.
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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.
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
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
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
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
5+ years of experience as a Solutions Engineer or Sales Engineer in enterprise or similarly complex environments
Deep familiarity with at least one RDBMS (
,
, 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
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