Experience:

• Proficient in Python
• Proficient in at least one of TypeScript/Java,Script, Java, or Go
• Comfortable across data plumbing, APIs, and some front-end work for demos
• Genuine curiosity about agentic AI and LLM systems
• Hungry to learn prompt/tool design, evals, orchestration, guardrails, and production failure modes
• Able to wrangle messy, large-scale, real-world data
• Can reason about storage, pipelines, and cloud infrastructure
• Can hold credible technical conversations with CTOs and frontline users
• Moves with speed and precision
• Willing to travel up to ~25% to customer sites
• Willing to be onsite in the Bay Area with the core team

Responsibilities:

• Embed with newly closed enterprise customers
• Rapidly learn customer operations and data
• Stand up first production agent workflows in weeks
• Wire the platform into customer systems including data sources, identity, ticketing, CRMs, and internal APIs
• Build bespoke automations, prompts, tools, and guardrails
• Run working sessions with frontline operators, CISOs, and CTOs
• Translate customer vision into architecture
• Translate the platform into the customer's language
• Instrument usage to drive adoption
• Find the next high-value workflow
• Turn a beachhead deployment into an org-wide rollout
• Own technical success from kickoff through go-live and expansion
• Own technical side of security review
• Own technical due diligence for procurement
• Feed sharp prioritized signal back to core engineering
• Upstream fixes or reusable components when helpful

Additional responsibilities:

• Build custom, tailored solutions for enterprise jobs-to-be-done
• Handle enterprise security constraints and isolated infrastructure requirements
• Support customer outcome and net revenue retention goals

Nice to have:

• Experience integrating into regulated or security-sensitive enterprise environments
• Experience with isolated VMs
• Experience with on-prem/VPC
• Experience with SOC 2
• Experience with HIPAA
• Experience with FedRAMP-adjacent environments
• Prior forward-deployed experience
• Prior solutions-engineering experience
• Prior delivery experience at an enterprise-software company
• Prior delivery experience at an infra company
• Track record of turning a first deployment into a much larger footprint

More skills:

data plumbing, front-end, LLM systems, pipelines, cloud infrastructure, SSO, SCIM, SOC 2, DPA, isolated infrastructure, isolated VMs, data residency, on-prem, VPC

Other:

• Employment type: Full time
• Department: Engineering
• Founded in 2022
• Backed by SRI International, DCVC, and Candou Ventures
• Small, senior team moving at startup speed
• Base range $80K to $120K depending on level and experience
• Meaningful equity
• Delivery and expansion-linked bonus
• Full benefits including medical, dental, and vision
• Equal opportunity employer
• Inclusive environment for all employees