Solutions Engineer

Artie; San Francisco (CA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Artie seeks its first Solutions Engineer to scale pre-sales and post-sales enterprise motion, working deeply with customers on data architectures, proof-of-value engagements, and the technical backbone of enterprise deals. You will shape how Artie is positioned technically and set the bar for win rates.

You’ll collaborate with founders, influence product and GTM, and help define seamless post-sale handoffs while solving complex data stack challenges for large-scale clients.

Qualifications

• 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

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
• 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

Skills

Solutions engineering

Customer engagement

Technical storytelling

Cloud data platforms

Tools

Kafka

dbt

BI platforms

Job description

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.

WHAT YOU'LL DO

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

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

WHAT WE'RE LOOKING FOR

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