Promptfoo, the leading AI Security platform, enables enterprises to systematically identify, track, and remediate AI vulnerabilities across the entire portfolio of AI applications, agents, and RAG systems. Available in open source and commercial versions, Promptfoo can be deployed on-prem or in the cloud. With the compliance mapping to OWASP Top 10 for LLMs and NIST for RMF and centralized reporting for executive visibility, Promptfoo helps security leaders scale AI adoption without compromising security or data ownership. Adopted by 300K+ developers, recommended by OpenAI and Anthropic, and backed by a16z and Insight Partners, Promptfoo is trusted by over 127 of the Fortune 500 companies. Learn more at promptfoo.dev.
You're an engineer first who happens to work directly with customers—not a salesperson who can code. You’ll be the bridge between prospects, customers, and our product team - jumping on technical calls daily, unblocking POCs, and turning field insights into product improvements.
Solutions Engineers at Promptfoo:
Write production-quality code (POCs, integrations, tools)
Architect solutions with customers / security teams
Shape our product through direct feedback to Engineering
Report to Engineering (VP of Engineering), not Sales
This is not a support role. This is not a sales role. This is an engineering role with deep customer exposure.
Build: Production-quality POCs, integration examples, and demo environments
Code: Create reusable tools, scripts, and frameworks that scale customer success
Debug: Deep-dive on customer technical issues alongside their engineers
Architect: Design reference architectures for enterprise deployment patterns
Output should be demo-quality code, not throwaway prototypes
Technical deep-dives: Run architecture sessions and workshops with customer engineering/security teams
POC ownership: Lead hands-on proof-of-concept implementations (you're coding, not just presenting)
Strategic accounts: Own the technical relationship with 2-3 enterprise customers deeply
Technical escalations: Be the "break glass" expert for complex technical challenges
Aggregate: Collect, synthesize, and prioritize technical feedback from the field
Influence: Present customer insights to Product Engineering—your input shapes the roadmap
Documentation: Identify and close gaps in docs, APIs, error messages, DX
Customer Zero: Stress-test new features before they ship, write the first integrations
Playbooks: Document best practices for POCs, workshops, deployments
Cross-training: Help AEs handle basic technical conversations independently
Quality bar: Review customer-facing technical deliverables
Hiring: Help define the bar as the Solutions Engineering team grows
Engineering Depth:
Strong coding skills in JavaScript/Typescript and/or Python - you can write and ship production code
Comfortable with Docker, Kubernetes, and enterprise infrastructure
Can architect solutions and go deep on performance, security, and systems design
Debugging complex issues is satisfying, not frustrating
Customer Orientation:
Peer-level technical conversations with customer engineers, architects, and security leads
Translate ambiguous customer problems into concrete technical solutions
Genuine interest in understanding why customers need things, not just what
Autonomy:
Self-directed with minimal supervision
Can prioritize across many concurrent workstreams
Builds systems and documentation to scale yourself
Communication:
Exceptional written and verbal skills
Can present to technical and executive audiences
Writes clear technical documentation
Experience with LLM applications, AI security, or developer tools
Background in application security or red teaming
Previous product engineering experience (we hire engineers who love customers)
Used Promptfoo before
To be explicit:
Not Sales Engineering: You don't report to Sales. You're not measured on deals closed. You're not doing demo theater.
Not Technical Support: You're not frontline support. You're building solutions alongside customers.
Not Solutions Consulting: You're not scoping billable engagements. You're an engineer who happens to work with customers.
You're an engineer, treated like an engineer. You’ll report to the VP of Engineering, have an engineering career path, and have a comp structure that matches engineering. This is not sales.
High signal, low noise: You’ll work with enterprise security/engineering teams on real problems. You’re not doing 50 shallow demos a month - you’re doing 5 deep engagements.
Product influence: You will have a direct weekly sync with Engineering leadership. Your field insights shape the roadmap. You can (and should) contribute code to the product.
Cutting edge of AI: AI security is brand new—you're defining best practices. Work with how leading companies secure their AI.