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About the Role
We are seeking a Data Engineer who is driven to operate like a founder, build foundational systems for AI applications, and own critical pieces of infrastructure. This role involves working across data engineering, backend systems, infrastructure, and AI to build systems that directly impact real-world product behavior. The ideal candidate thinks in systems, moves with urgency, and leverages AI.
Responsibilities
- Own and extend our customer data ingestion platform
- Build and maintain large-scale data pipelines powering AI products and customer workflows
- Design systems for syncing customer data across external platforms, CRMs, and third-party systems
- Help architect our future data lake, retrieval layer, and data infrastructure strategy
- Build ingestion and querying systems for lead, account, enrichment, and customer knowledge data
- Create the infrastructure that gives our AI workers access to the information they need to reason, act, and improve over time
- Partner closely with product and engineering teams to unlock new AI product capabilities
- Improve reliability, observability, performance, and scalability across our data stack
- Contribute across backend systems and infrastructure, not just traditional data engineering projects
- Push ideas into production quickly instead of over-optimizing in planning phases
Requirements
- 4+ years of software engineering or data engineering experience
- Strong experience building and maintaining production-grade data systems and pipelines
- Experience with Python and Typescript
- Strong backend engineering fundamentals beyond traditional data engineering
- High agency — you naturally move things forward without waiting for direction
- Comfort operating in ambiguity and building without a playbook
- Strong systems thinking and architectural intuition
- Ability to balance speed with long-term scalability
- Strong problem-solving skills and a willingness to own problems end-to-end
- Hungry to grow. You want expanding scope, responsibility, and ownership over time
- Excitement about AI-native workflows and the future of software development
Skills
- Python
- Typescript
- ClickHouse or other columnar databases
- Airbyte or similar data integration and ingestion platforms
- CRM integrations and synchronization systems
- Data lake architecture design
- Supporting AI or ML products
- Using AI tools heavily (e.g., Claude Code, Codex, Cursor)
- Engineering velocity and iteration speed
Location
- San Francisco (in-office)
- Remote throughout the U.S.
- Remote throughout Canada
Work Type
- In-office
- Remote
Experience Level
- 4+ years of software engineering or data engineering experience
Salary/Compensations
- $170,000-$200,000
About the Company
- At 11x, we're building AI workers that operate on behalf of our customers. For those workers to become more useful, more autonomous, and more intelligent, they need access to the right data at the right time. Every improvement in data access, retrieval, enrichment, synchronization, and infrastructure directly improves the capabilities of our agents. The systems you build won't sit behind the scenes. They'll determine what our AI workers can understand, what actions they can take, and how much value they can deliver. The quality of our AI workers is ultimately constrained by the quality of the data systems behind them. You'll be responsible for pushing that frontier forward.
Equal Opportunity
- 11x is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.