Product Engineer
San Francisco, CAFull-time$150–250K/yrPosted 2mo agoStill listed 3 days ago
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Job overview
Artie is hiring a Product Engineer. Artie is a real‑time streaming platform that moves production data across systems, seeking a Product Engineer in San Francisco to interact with customers, build new features, and improve internal tooling while working on distributed systems and data engineering.
Key focus areas include Talk to technical customers to streamline workflows and improve UX, Build new features such as column exclusion, encryption, and schema change alerts, and Improve internal tooling and build automation to ease feature shipping and infrastructure management.
Successful candidates bring 4+ Years Web Development Experience, 4+ Years Startup Experience, and US Citizen/Visa Only. Important skills include Computer Science Fundamentals, Web Development, Pragmatism, Full Stack Development, and Product Building. Preferred (not required): TypeScript, React, Material UI, and Go.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Artie Software that streams data from databases to warehouses in real-time
Product Engineer $150K - $250K • San Francisco Job type Full-time Role Engineering, Full stack Experience Any (new grads ok) Visa US citizen/visa only Connect directly with founders of the best YC-funded startups. Apply to role › Robin Tang Founder Robin Tang Founder About the role About Artie Artie is a real-time streaming platform that moves production data across systems 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 workloads. Artie is built for engineers who care about performance, reliability, and operational simplicity — and we’re growing fast.
We’re trusted by teams like ClickUp, Substack, and Alloy, and backed by top-tier investors including Y Combinator, General Catalyst, Pathlight Ventures, and the founders of Dropbox and Mode.
About the role We're a small, dynamic team based in San Francisco, and we're looking for a Product Engineer to join us. In this in-person role, you'll have the opportunity to wear multiple hats, interact directly with our customers, and play a vital part in shaping the future of our product.
This is a challenging and dynamic role where you'll be working at the forefront of distributed systems, infrastructure and data engineering.
What you should expect and examples of day-day tasks:
- Talking to customers (who are technical and have an engineering background) to streamline their workflows and improve the UX of our product
- Building new features into our product such as column exclusion, encryption, schema change alerts and more
- Improving our internal tooling and build automation to make it easier to ship features and manage our infrastructure
What we are looking for
- Strong fundamentals in computer science or related field
- 4+ years of experience with web development and working at startups
- Pragmatic and care more about building the right thing vs. being right
- Comfortable jumping around the stack and wearing different hats
- Someone that is passionate about building products that are easy to use and extensible
- Proficiency writing in Go is preferred, but not necessary
- Happy to work in-person 5 days/week in San Francisco’s Financial District with the rest of the team.
Tech stack
- Frontend: TypeScript (React and Material UI)
- Backend: Go, PostgreSQL, Redis, Kafka and Elasticsearch
- Infra: Terraform, Kubernetes, and Helm on GCP and AWS
Compensation & Benefits
- $150K–$250K base salary, depending on experience
- Competitive equity package
- Healthcare, 401(k), unlimited PTO
- Lunch & dinner provided
- Visa sponsorship available About Artie We are building Artie, a real-time data streaming solution focused on databases and data warehouses. Typical ETL solutions leverage batched processes or schedulers (DAGs, Airflow), which cannot achieve real time data syncs. We leverage change data capture (CDC) and stream processing to perform data transfers in a more efficient way, which enables sub-minute latency.
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