Sr. Manager, AI Forward Deployed Engineering
New
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Clera
NewYou'll own the infrastructure for AI agents at an early-stage startup, building systems for reliable execution, multi-month context retention, and human involvement triggers. The role spans building core orchestration systems, designing memory architectures for real operational data, creating trusted eval harnesses, and shipping directly to customers. You need 3+ years shipping production LLM agents unattended, proven eval harness experience, strong Python production systems work, and hands-on agent memory and orchestration expertise. Based in San Francisco with relocation support. $150,000–$250,000 annually plus equity.
Written from this posting by Neural Jobs AI. The full description is below.
You will own the agentic infrastructure at a well-funded AI infrastructure startup, building the systems that let AI agents execute reliably, retain context over months, and know when to involve a human. This is a founding engineer role where your decisions directly shape how agents plan, remember, fail, and recover in production.
Build and maintain core infrastructure that enables agents to execute tasks reliably across dozens of iterations.
Design and implement memory systems that retain months of client context extracted from messy, real-world operational data.
Develop eval harnesses that teams actually trust to make production deployment decisions.
Own the full loop: build, measure, break, fix, and improve agent systems based on production feedback.
Ship agent systems directly to real customers and iterate on them based on live feedback.
Contribute across infrastructure, orchestration, customer collaboration, and early hiring as needed.
3 or more years shipping LLM agents that ran unattended in production for real users, with a clear understanding that the model is the easy part.
Proven experience building eval harnesses that were actually used to make production shipping decisions.
Strong Python proficiency applied to production systems, not prototypes.
Experience with agent memory management, context retrieval, and orchestration on real operational data (not demo RAG pipelines).
Hands-on experience with agent orchestration frameworks, workflow management, or infrastructure tooling.
Experience implementing failure recovery, retry logic, or reliability patterns in production agent systems.
Bonus: open-source agent tooling contributions, experience with human-in-the-loop or approval workflows, or a founded/led technical project.
Exceptional intensity and execution, comfortable owning work well beyond a narrow specialty at an early-stage company.
Base salary: $150,000 to $250,000 USD annually.
Equity: meaningful early equity stake.
Relocation support and visa sponsorship available.
On-site in San Francisco, CA, United States. Relocation support is provided.
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Clera is an AI recruiting platform that introduces candidates directly to hiring managers at the companies they want to work for.
93 more AI Engineer roles in San Francisco
206K – 250K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 66 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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