Agentic AI Engineer- RevOps Workflow Orchestration

Job Description

Agentic AI Engineer – RevOps Workflow Orchestration (Contract-to-Hire)

Location: Remote (US-based) | Team: Revenue Operations | Type: Contract-to-Hire

Our mission

At Oura, we empower every person to own their inner potential. With our award-winning Oura

Ring and app, we help millions translate daily sleep and recovery signals into healthier, more

balanced lives.

About The Role

As the first Agentic AI Engineer on our RevOps team, you will architect, automate, and

optimize a unified, data-driven commercial-operations ecosystem. Leveraging AI agents and

low-/no-code orchestration platforms, you’ll turn siloed Sales, Marketing, Support, and

Customer-Success signals into real-time, ROI-driven insight at scale.

What You Will Do

Core responsibilities Example agent-first activities

System design & integration – reverse-engineer legacy workflows; connect HubSpot, BI dashboards, Support, and CS tools into a single platform.Example agent-first activities: Break down 30-40 recurring RevOps processes (lead routing, quote-to-cash, renewal proration...) into multi-step agent plans that use memory, planning, and tool-calling patterns.AI-driven automation & experimentation –identify high-leverage use cases such as hyper-personalised outreach and churn-risk detection; prototype, measure, and scale agents.Example agent-first activities: Expose Salesforce, HubSpot, NetSuite, CPQ, and billing actions through iPaaS layers like Workato, Tray.io, n8n, or Zapier.Data analysis & insight generation – mine large datasets for leading indicators of engagement, expansion, and churn; translate analytics into GTM recommendations and stakeholder alignment.Example agent-first activities: Implement human-in-the-loop guardrails, evaluation harnesses, and rollback paths to ensure ≥95 % post-QC accuracy.Continuous improvement & governance –define data-quality standards and AI guardrails; instrument telemetry, vector-based evaluations, and weekly retros to shrink manual minutes per process.Documentation & enablement – deliver developer-grade docs, architecture diagrams, and live sessions for RevOps analysts and GTM stakeholders.

We’d love to have you on our team if you have...

RevOps Expertise

Strong SaaS GTM operations backgroundFamiliarity with lead routing, CPQ, renewal, billing, and attribution flows

Agentic AI Engineering

Production experience with LangGraph, CrewAI, LangChain, AutoGen, or similarFamiliarity with RAG pipelines, tool use patterns, and memory planningBuilt agents with evaluation harnesses, rollback logic, and human-in-the-loop workflows

Middleware & iPaaS Fluency

Hands-on with tools like Workato Agent Studio, Tray.io, Zapier, n8n, MuleSoft, or MakeExperience using iPaaS to abstract and expose business logic for autonomous agents

Programming & Integration

Strong Python proficiencyBonus: TypeScript, JavaScript, or GoAPI design with REST/GraphQL, Git workflows, CI/CD familiarity

AI Quality & Safety

Experience with vector DBs, telemetry, RBAC, prompt-injection mitigationSkilled at building safe, observable, and reversible agent systems

Bonus points for experience designing RevOps agent swarms, using Workato Genie / AgentX,

VPC LLM deployment, or shipping agent frameworks that replaced manual FTE hours.

What success looks like (first 6 months)

≥ 4 critical RevOps workflows fully agentic≥ 95 % post-QC data accuracy≥ 25 % reduction in manual hours vs. baseline100 % SOP-to-agent documentation coverage

Our Stack

Agents: LangGraph, LangChain, CrewAIMiddleware: Workato Agent Studio, n8n, Tray.io, ZapierData & Tools: HubSpot, Salesforce, NetSuite, CPQ, Zendesk, Postgres, SnowflakeLanguages: Python, TypeScript, GoInfra: Git, REST APIs, CI/CD, Vector DBs

Why Join Us?

You’ll be working on one of the most forward-thinking RevOps teams in the industry—deploying cutting-edge AI to automate GTM systems in a fast-growing consumer health company. You’ll have support, autonomy, and a clear mandate to innovate.