AI Automation Engineer
2 weeks ago
At Apono, we empower organizations to run in the cloud by aligning operations and security around access management. Our platform provides companies with just-in-time and Just-Enough access across their hybrid environments, reducing access risk while improving productivity.
Apono has offices in New York and Tel Aviv and supports dozens of customers across the US and the world, including large Fortune 500 companies and was honored in Gartner's Magic Quadrant for Privileged Access Management.
What are we looking for?
We are seeking a specialist to design and maintain AI-driven workflows and automations using Python, JavaScript, n8n, and no-code tools. The role includes collaborating across teams, building connectors and APIs, and serving as the technical lead for AI initiatives.
Responsibilities:
- Design, build, and maintain AI-driven workflows and automations using Python / JavaScript, n8n, and no-code tools.
- Collaborate closely with all departments, Marketing, Sales, Customer Success, R&D, Product, and HR teams to identify automation opportunities.
- Create connectors and APIs for smooth data and workflow integration.
- Work with R&D to align automations with product and engineering stack.
- Troubleshoot, optimize, and document automated workflows.
- Act as a technical lead for AI initiatives.
Requirements:
- 3+ years of hands-on experience in Python/JavaScript and workflow automation.
- Experience with n8n, Zapier, or similar orchestration frameworks.
- Strong background in system integrations (APIs, webhooks, SaaS tools).
- Familiarity with HubSpot, Gong, Salesforce, or similar sales/marketing platforms.
- Experience with LLMs and applying AI to operational workflows.
- Comfortable with GitHub, CI/CD, and DevOps workflows.
- Strong problem-solving and debugging skills.
- Ability to collaborate with business teams and translate their needs into automation.
- Startup mindset: self-starter, adaptable, execution-focused.
Nice to have:
- Prior experience in cybersecurity SaaS environments.
- Exposure to cloud platforms (AWS, GCP, Azure, k8s).
- Leadership experience or interest in building/leading a team
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