
201 - 500 employees
Founded 2017
âď¸ SaaS
đ¤ Artificial Intelligence
đ Compliance
SaaS ⢠Artificial Intelligence ⢠Compliance
Certa. ai is an AI-first third-party operating system (TPRM OS) that helps organizations automate and orchestrate third-party risk and compliance workflows across the entire vendor lifecycle. The platform provides intelligent orchestration for onboarding, due diligence, continuous monitoring, screening (sanctions, PEP, adverse media, UBO), KYC/KYB and AML use cases, and broader domains such as information security, financial, reputational, ESG, and supply-chain risks. Certa. ai positions itself as a Gartner Magic Quadrant leader for Third-Party Risk Management Tools and emphasizes evidence-based defensibility, configurable business rules, audit trails, and automatic updates to global compliance requirements.
đĽ 1 minute ago
Where this job comes from
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201 - 500 employees
Founded 2017
âď¸ SaaS
đ¤ Artificial Intelligence
đ Compliance
SaaS ⢠Artificial Intelligence ⢠Compliance
Certa. ai is an AI-first third-party operating system (TPRM OS) that helps organizations automate and orchestrate third-party risk and compliance workflows across the entire vendor lifecycle. The platform provides intelligent orchestration for onboarding, due diligence, continuous monitoring, screening (sanctions, PEP, adverse media, UBO), KYC/KYB and AML use cases, and broader domains such as information security, financial, reputational, ESG, and supply-chain risks. Certa. ai positions itself as a Gartner Magic Quadrant leader for Third-Party Risk Management Tools and emphasizes evidence-based defensibility, configurable business rules, audit trails, and automatic updates to global compliance requirements.
⢠Own the agent loop, including step control, planning, retries, error feedback, subagents, and parallel tool calls ⢠Build narrow, well-described, permissioned, and safe tools, MCP servers, and skills for agents operating on customer data ⢠Design agent context using compaction, memory, retrieval-as-a-tool, and methods for processing large enterprise records ⢠Build golden sets, regression suites, and trace-based scoring into CI to evaluate every prompt, model, or harness change ⢠Route across models based on capability, latency, and cost; evaluate new model launches and retune the harness ⢠Build runtime capabilities including durable sessions, sandboxed execution, nested-trace observability, token budgets, and graceful fallbacks ⢠Design backend services end to end, including data models, APIs, storage, and failure modes ⢠Build asynchronous pipelines with queues, workers, retries, idempotency, and backpressure ⢠Optimize systems for scale using caching, batching, indexing, and p95/p99 latency budgets on multi-tenant AWS ⢠Implement tenant isolation, least-privilege access, PII handling, and audit trails ⢠Write design documents, defend technical trade-offs in review, and own services in production ⢠Own a Studio backend service, ship production changes, and join its on-call rotation ⢠Diagnose agent failures from traces and ship fixes that measurably improve task success rates ⢠Ship new agent capabilities or backend services for live customer use with defined target metrics
⢠3+ years building production backend systems with strong system design ⢠Experience designing and scaling services under real load ⢠Experience selecting data stores, modeling data, and handling async processing, queues, caching, idempotency, and production failure modes ⢠Python preferred ⢠Shipped at least one LLM agent to real users ⢠Ability to explain an agent's loop, tools, failure modes, and performance metrics ⢠Built evals that changed a product or engineering decision ⢠Strong context and tool design instincts; able to diagnose agent failures by reading traces ⢠Uses coding agents such as Claude Code, Codex, or Cursor as a core part of the workflow ⢠Track record of owning outcomes, selecting metrics, improving them, and reporting results honestly ⢠Nice to have: experience with agent harnesses, frameworks, or orchestration layers; enterprise B2B in regulated domains; founder or founding-engineer experience; LangGraph, Agent SDKs, or Deep Agents
⢠Top of market salary plus bonuses and equity ⢠49 days paid time off ⢠Full benefits ⢠Retirement and wellness plans ⢠Professional development support ⢠Remote workspace setup bonus ⢠Annual company offsites in exciting locations around the world
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