Full time

Callière Group; San Francisco (CA); On-site; USD 130,000 - 210,000; Full time

Benefits offered by this job

Equity

Paid time off

Conference budget

Quality equipment

Health coverage

Customer-facing impact

Job summary

Callière Group in San Francisco, CA, is seeking a Forward-Deployed Engineer to turn interest into live usage. You will lead POCs, debug complex integrations, and partner with customer engineering and security teams to move from prototype to production.

You'll own customer outcomes, run pre-sales deep dives, demos, and architecture sessions, and design custom configurations when standard paths fall short. A strong CS or software engineering background is valued.

Qualifications

• 5+ years in forward-deployed/solutions/sales engineering roles.
• Strong CS or software engineering background.
• Hands-on experience building or integrating AI agents or AI-powered workflows.
• Deep knowledge in identity, security, or observability.
• Proficient reading, writing, and debugging production-grade code.
• Open-source work or talks related to agents, identity, policy, or security.

Responsibilities

• Lead enterprise POC technical outcomes from scoping to success.
• Run pre-sales deep dives, demos, and architecture sessions with client teams.
• Troubleshoot integrations in complex environments (identity, networking, security, observability).
• Design and build custom configurations when standard paths are insufficient.
• Run onboarding sessions to enable customer engineers on the platform.
• Be the go-to technical expert during sales cycles.

Skills

Forward-deployed experience

AI agents experience

Executive presence

Ownership

Open-source involvement

Memory & architecture depth

Education

CS or Software Engineering degree

Tools

Identity tooling

Security tooling

Observability tooling

Job description

San Francisco, United States |

AI is reshaping how every company operates, but most enterprises are stuck between “exciting prototypes” and “real systems that are safe, governed, and observable.” Our client sits squarely in that gap: they help large organizations roll out AI agents, tools, and workflows without losing control of security, identity, or data.

Their platform provides a unified way to run agent frameworks, skills, and tools with enterprise-grade security, granular governance, and deep observability. They are well-funded by top-tier investors and already working with recognizable technology-forward customers, but still small enough that every hire moves the needle. The team is roughly two dozen people, mostly engineers, shipping quickly and working very close to where AI actually touches production systems.

As a Forward-Deployed Engineer, you will own the technical side of turning interest into live usage. You will lead POCs, debug gnarly integrations, and partner directly with customer engineering and security teams to get from “this is cool” to “this is running in prod.”

Why this role is compelling

• Impact: When a proof of concept becomes a production deployment, it will be because you made it work end-to-end.
  
• Excellence: You’ll work alongside engineers who understand both deep infrastructure and enterprise sales motion, operating at the intersection of the two.
  
• Ownership: You will own customer outcomes—from the first technical deep dive through successful rollout and early adoption.
  

What you’ll do

• Lead technical outcomes for enterprise POCs, from scoping to success criteria to implementation.
  
• Run pre-sales deep dives, demos, and architecture working sessions with customer engineering and security teams.
  
• Troubleshoot integrations in complex environments (identity, access, networking, security tooling, observability).
  
• Design and build custom configurations or one-off solutions when the standard implementation path is not enough.
  
• Run onboarding and enablement sessions to get customer teams comfortable building on the platform.
  
• Be the go-to technical expert in the room during sales cycles, handling hard questions from senior engineers and architects.
  

Requirements

• 5+ years in a forward-deployed / solutions / sales engineering / consulting-type role, ideally with a strong CS or software engineering background.
  
• Real technical depth: you can read, write, and debug production-grade code independently, not just wire up demos.
  
• Hands‑on experience building or integrating AI agents or AI-powered workflows, with opinions on architecture, memory, and tool design.
  
• Depth in at least one relevant area such as identity and auth, security tooling, agent frameworks, protocol / integration design, networking, deployment, or observability.
  
• An AI-native working style—you use AI tools to build faster and better, not just as a chat interface.
  
• Executive presence: you’re comfortable sitting across from senior technical and business leaders, asking sharp questions, and steering the conversation.
  
• High agency and ownership: when something is blocked, you push it forward, pull in the right people, and keep going until it’s solved.
  
• Prior experience in a similar role at a high-growth B2B SaaS or infrastructure startup.
  
• Open‑source work, writing, or talks related to agents, identity, policy, security, or adjacent infrastructure topics.
  

What our client offers

• Competitive salary and meaningful equity, calibrated to the impact and visibility of this role.
  
• Generous paid time off, including vacation, sick time, and parental leave.
  
• Budget for conferences, courses, and certifications across AI, enterprise software, and customer‑facing excellence.
  
• High-end equipment and tools to support how you work best.
  
• Comprehensive health, dental, and vision coverage.
  
• Direct exposure to innovative customers who are actually putting AI into production, and the chance to see your work deployed in their environments.