Solutions Engineer
US$175,000 – US$200,000 / yr base salary
Posted 30 Aug 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
- Visa sponsorship
- Offered
| Base salary | US$175,000 – US$200,000 / yr |
|---|
About Artie
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
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Run structured proof-of-value engagements with clear technical success criteria and mutual action plans
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Partner with AEs to drive deals forward — from technical discovery through close
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Be the trusted technical voice in the room with staff engineers, data architects, and platform leads
Go deep on customer architectures
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Understand how customers move data today — their databases, pipelines, cloud and on-premise infrastructure, and pain points
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Map those architectures to Artie's capabilities with clarity and confidence (CDC, Kafka, cloud data warehouses, replication patterns)
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Whiteboard solutions and guide customers through integration design
Deliver compelling technical presentations
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Translate complex technical concepts — log-based CDC, schema evolution, real-time replication — into business impact
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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