8 hours ago
Base Salary
$100k - $150k/yr
Responsibilities
- Own Legal AI systems and components from requirements and technical design through implementation, testing, release, operation, documentation, and handoff.
- Architect and operate integrations across CLM, CRM, intake, workflow, knowledge, identity, collaboration, and operational systems using APIs, webhooks, queues, automation platforms, and data contracts.
- Build governed AI plugins, single-job agents, automations, contract workflows, clickwrap systems, denied-party screening integrations, privacy operations, and HR contract workflows.
- Develop evaluation and quality controls such as representative test sets, regression checks, schema validation, traceability, and behavioral-change evidence.
- Implement production controls for SSO/SCIM, service identities, scoped credentials, secrets management, privileged administration, access, logging, monitoring, incident handling, and rollback.
- Maintain automated tests, CI/CD workflows, dependency controls, release evidence, runbooks, system maps, and operating models.
- Partner with Legal AI Analysts and stakeholders on workflow design, reporting, data modeling, reliability, cost, usability, adoption, and business impact.
- Mentor others and collaborate across engineers, lawyers, analysts, security partners, finance, People teams, and business-system owners.
Requirements
- Seasoned experience in software, platform, integration, or infrastructure engineering with independent ownership of complex production systems or components.
- Hands-on experience with a general-purpose programming language such as Python, APIs, webhooks, structured data, automation, and systems troubleshooting.
- Experience with cloud services, event-driven architectures, queues, containers, source control, CI/CD, automated testing, release controls, and production observability.
- Practical experience with AI/LLM systems, model APIs, retrieval or tool-use patterns, agents, evaluation, human-in-the-loop controls, and generative-AI limitations.
- Strong identity and security fundamentals including OAuth, service identities, least-privilege access, SSO/SCIM, secrets management, audit logging, and secure operations.
- End-to-end technical ownership of CLM, CRM, workflow, service-desk, spend-management, repository, or adjacent operational platforms.
- Ability to translate legal, contractual, compliance, and policy requirements into workflows, conditions, repositories, controls, and auditable evidence.
- Ability to investigate ambiguous problems, prioritize initiatives, and deliver maintainable outcomes with limited day-to-day direction.
- Experience with AI governance, privacy, information governance, or legal knowledge systems is valued.
- Experience with reporting, metrics, dashboards, and BI-adjacent outputs is valued.
- Experience with AWS serverless services, containerized workloads, GitHub Actions, MCP or other tool-use integrations, and production AI evaluation is a strong plus.
Benefits
- Remote-first work arrangement with collaboration across multiple time zones and occasional work outside standard hours for production needs.
- Base salary range of $100,000–$150,000 USD, dependent on geographic location and job-related knowledge, skills, and experience.
- Eligibility for the Cribl Corporate Bonus Program.
- Health, dental, vision, short-term disability, and life insurance.
- Paid holidays, paid time off, fertility treatment benefit, 401(k), and equity.
Categories
About Cribl
Cribl builds a vendor‑agnostic telemetry data platform used by IT, security, and observability teams to collect, route, shape, store, and search machine data in real time. Its products (including Cribl Stream, Edge, and Search) are sold as enterprise subscriptions and can run in cloud or self‑managed environments. Founded in 2018 and headquartered in San Francisco, the company is privately held and serves large global enterprises.