AI Automation Lead F/M/X

1 hour ago

Tokyo, JapanStaff+

Responsibilities

Identify AI and automation opportunities across testing, release management, reporting, recurring manual tasks, and other team workflows.
Build business cases that estimate effort saved, risk reduction, customer experience improvements, and business value.
Design, build, and maintain automated test suites to improve regression coverage and reduce manual testing.
Automate repetitive internal processes such as status reporting, environment refreshes, backlog hygiene, and documentation.
Pilot and operationalize generative-AI and agentic tools within Responsible AI guardrails.
Package successful automations and prompts as documented, reusable assets for replication across streams and markets.
Define and track success metrics including time saved, error reduction, adoption, and business value.
Promote automation literacy through training, newsletters, demonstrations, and practical knowledge sharing.
Help establish standards, templates, and reusable assets for a structured automation practice.

Master’s degree in IT, Business Administration, or a related field.
2 to 4 years of experience in test automation, process/RPA automation, or a related quality or engineering role.
Ideally, experience in a Salesforce or broader SaaS delivery environment.
Hands-on experience with test automation tooling and basic Python or JavaScript scripting for custom automations and integrations.
Working knowledge of generative-AI and agentic tools such as Copilot-type assistants, Claude, Agentforce, and OpenAI-style APIs.
Familiarity with low-code automation or RPA platforms is preferred.
Ability to map processes, identify automatable steps, and evaluate effort versus value without over-engineering.
Comfort working in an Agile delivery environment and documenting, testing, and handing over maintainable automations.
Strong communication skills for explaining technical automations to non-technical stakeholders and driving adoption.
Pragmatic, curious, improvement-driven approach with an interest in experimentation, measurement, and scaling successful solutions.

10,000+ employees