Enterprise Solutions Engineer
About the role
Enterprise Solutions Engineer at Firecrawl, responsible for owning the cloud/security/deployment aspects of the platform to meet enterprise needs. 0-to-1 role working with sales, founders, and core engineers to design and ship platform capabilities.
Responsibilities
- Own enterprise requirements end to end, from security review or sales conversation through design to shipped platform capability
- Sit in enterprise sales conversations alongside the team, translating what a prospect needs into what gets built
- Build the security and deployment capabilities big companies expect: key management, tenant isolation, compliance integrations, flexible deployment across cloud and on-prem
- Turn one-off enterprise asks into reusable platform capability, not per-customer patches
- Work directly with the founders and core platform engineers to land what you design
- Ship what you design. This is a building role, not an advisory one.
Qualifications
- You've shipped what enterprise security teams ask for, and deep execution beyond checkboxes
- Built or operated multi-cloud or hybrid infrastructure: cloud and on-prem
- Deep cloud security and IAM fundamentals
- Comfortable shipping in TypeScript/Node; you build what you design
- Ability to walk an enterprise security team through your design and answer hard questions on the spot
Skills
Benefits
- Salary: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto)
- Competitive equity
- Generous PTO: 15 days, additional balance on request; 24+ days requires asking
- Parental leave: 12 weeks fully paid
- Wellness stipend: $100 USD/month
- Learning & Development: up to $1,000 USD/year
- Team offsites
- Sabbatical: 3 paid months off after 4 years

About Firecrawl
The web data API for AI
Firecrawl is a web data infrastructure platform that converts websites into clean, structured data optimized for AI applications through a simple API. Originally built as an internal tool at Mendable to solve their own data ingestion challenges, the team recognized the broader need for reliable web data extraction and transformed it into a standalone product. The platform combines web search, scraping, and AI-powered parsing into a unified solution, focusing on the core developer priorities of reliability, speed, and ease of use. By abstracting away the complexities of web data extraction, Firecrawl serves as the foundational data layer that enables AI applications to seamlessly access and process web content in the exact format they need.
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