United States
Remote
Mid Level
Full Time
7 days ago
AIautomationPythonagentic AIremote
Requirements
- •4+ years in software, applied AI, data, or automation engineering, including taking solutions from prototype to production.
- •Hands-on experience building agentic AI: multi-step agents that use tools, hold context, and take real actions, not just chat or content generation.
- •Comfortable in Python (or similar) and wiring up systems that don't natively talk to each other: prompt engineering, tool and function calling, API integration, and grounding against real data.
- •Hands-on with a modern agent build surface such as Claude Code and the Anthropic Claude API, Google Vertex AI, or comparable.
- •Strong systems thinking: you see dependencies, edge cases, and failure modes before they bite.
- •A change-maker's instinct: you can sit with a leader in any function, understand their process, ship the automation, and drive the adoption that makes it stick.
- •Clear communication with both non-technical teams and senior leadership; you can explain what AI can and can't do.
- •A bias toward shipping and measuring over planning, while respecting security, identity, and data governance.
- •Bachelor's degree or equivalent practical experience.
- •Based in North America, with flexibility to work across North American time zones.
What You'll Do
- •Partner with teams across the company to map how work happens today, find the highest-value places AI can help, and decide what to automate, what to assist, and what to leave to a person.
- •Build and ship production-grade AI agents and workflows end to end, primarily in Claude Code and the Anthropic Claude API, wiring them into the tools the business already uses (BigQuery, Jira, Confluence, Slack, Google Workspace, Salesforce).
- •Build the shared infrastructure the rest of the team depends on: connectors, reusable skills and templates, retrieval and memory layers, and the standards that keep automations consistent and secure as they scale.
- •Take each solution to real adoption: document it, train and enable the people who use it, and make it easy to trust and, where it fits, self-serve.
- •Measure what matters (adoption, hours saved, reliability) and keep iterating so the value compounds instead of fading after launch.
- •Design guardrails, human approvals, logging, and evaluation into every workflow, treating safety, auditability, and data governance as first-class, not afterthoughts.
- •Stay current with a fast-moving space and bring back practical recommendations, not hype.
Nice to Have
- •Experience in the Atlassian ecosystem, or building automations for operations, go-to-market, or finance teams
Benefits
- •Remote-first work environment
- •Unlimited vacation in most of our locations
- •Great benefits including health, dental, vision, and savings plan
- •Perks such as training reimbursement, work-from-home reimbursement, and more
- •Diverse and dynamic teams with challenging and exciting work
- •An opportunity to have a real impact on our business
- •A great range of social activities (both in person and virtual)
- •Optional in-person meet-ups and the ability to travel to our international offices
- •Employee referral program
