Solutions Engineer - Real-Time Data Platform

Artie

San Francisco (CA)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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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 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.

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