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Get to know us

Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand in the secure business collaboration market. Trusted by over 2,000,000 users from 300,000 companies globally, we help people run high-stakes processes and make important decisions with less stress, higher quality, and shorter hours.

Ideals Virtual Data Room (VDR): Secure document sharing and collaboration for due diligence, fundraising, corporate reporting, licensing, clinical trials, and other complex transactions.

Ideals Board: Board and leadership collaboration platform for faster, safer, and more compliant decision-making.

The role

We are looking for a Head of AI / AI Tech Lead to own the end-to-end transformation of our internal operations. Your mission is to lead process transformation initiatives by implementing agentic pipelines that automate repetitive tasks, improve operational efficiency, and enable autonomous, “thinking” workflows across internal teams.

You will start by launching high-impact pilots for specific business units and then scale these solutions across the entire organization. This is a strategic role focused on Internal Enterprise Transformation and Agent Architecture, rather than our commercial SaaS product. You will act as the central AI authority – mentoring team, managing vendor relationships, and building an AI-champion community at Ideals.

Tech stack: GCP, Gemini, Cloud Run, BigQuery, Vertex, Terraform, Airflow, Make, N8N, Python, JS, etc. We are open to investigating new tools.

Team: You will lead 2 Business Process Automation Specialists and 3 external contractors.

Cross-functional collaboration: Data Engineering, ERP, IT, IT Security, Business Intelligence, Data Analysts, Revenue Operations Teams.

Stakeholders: People Operations, TA, Finance, Customer Support, Legal, Procurement, Sales Teams.

Examples of what you’ll build:

• AI Sales Co-pilot: Integrating with HubSpot to provide insights, based on customer call analysis.

• People Ops Support: An AI agent capable of answering questions from the Idealers Handbook and eventually handling standard requests with manager approvals.

• Legal Automation: AI-powered recognition and auto-filling of legal documents.

• Deal Intelligence Tool: Quick AI analytics of past deals and client data directly from the CRM.

What you will do

• Lead AI-driven transformation of internal processes across the company

• Design and implement LLM-based agent pipelines, including multi-agent systems

• Build and maintain RAG architectures

• Collaborate with business units to identify automation opportunities and translate business requirements into scalable cloud architectures

• Define standards for AI orchestration, monitoring, and reliability; ensure security and compliance in every solution

• Mentor team members in automation best practices, lead technical workshops and grooming sessions

• Conduct code reviews and ensure quality standards

What you bring

• 6+ years in Software Development/Engineering, with ~2 years specifically focused on implementing and scaling AI solutions

• B2+ level of written and conversational English

• Proven experience building LLM agent pipelines, multi-agent architectures, and a strong understanding of LLM fundamentals

• Deep practical experience with RAG and similar retrieval-augmented approaches

• Hands-on experience with LLM frameworks such as LangChain, LangGraph, or equivalents.

• Programming: Solid engineering experience (Python is preferable; expertise in JS or C# is a plus).

• Cloud & Infra: Practical experience designing and deploying architectures on GCP using an Infrastructure-as-Code approach (Terraform or similar)

• Quality & Reliability: Experience in Unit, integration, and AI-specific testing

• Solid Project Management skills with experience working directly with business stakeholders to turn vague needs into technical solutions

Nice to have

• Understanding of MLOps / AI Ops concepts

• Experience leading or mentoring Engineers

Our assessment process

• Screening call with the Talent Acquisition Specialist (40 mins)

• Technical interview with the Engineering Manager (1 hour)

• System design + Live coding with the AI Tech Expert (1-1.5 hours)

• Competency-based interview with the Talent Acquisition Specialist (1.5 hours)