Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense.

We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in deﬁning the future of our industry-leading technology.

6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.

About The Role

We’re looking for a Staff Enterprise AI Engineer focused on scaling internal operations across the business through AI-driven systems, agents, and workflow automation. This role designs and delivers secure, production-grade AI solutions that reduce manual work, increase productivity, and improve decision-making across all business functions while maintaining security and privacy. Success is measured by enterprise impact, not tool adoption.

Key Responsibilities

1. AI Systems and Agent Architecture Design and implement enterprise AI systems using Workato, MCP frameworks, Microsoft 365 Copilot, and Claude Build and orchestrate AI agents that automate cross-functional workflows across IT, Security, Finance, HR, Legal, Tech and GTM Develop reusable patterns for agent orchestration, memory, context handling, and human-in-the-loop controls 2. Enterprise Automation and Integration Lead development of end-to-end automated workflows using Workato and related integration platforms Connect SaaS systems, data platforms, and internal services into unified AI-powered workflows Measurably reduce operational toil by eliminating repetitive manual processes 3.

AI Governance, Security, and Risk Embed security, privacy, and compliance controls into AI systems by design Ensure alignment with SOC 2, ISO 27001, ISO 42001 and AI governance standards Define guardrails for data handling, prompt security, model access, and agent permissions Mitigate risks related to prompt injection, data leakage, model misuse, and over-automation 4. Platform Enablement and Scale Build internal AI capabilities that scale across teams, not one-off solutions Create reusable templates, SDKs, connectors, and playbooks for AI adoption Partner with IT, Security, and Enterprise Apps to operationalize AI at scale 5. Productivity and Employee Experience Leverage Microsoft 365 Copilot and Claude to enhance employee workflows Identify high-impact productivity use cases across departments Deploy AI assistants that meaningfully reduce time to complete core tasks 6.

Required Qualifications

7+ years in enterprise engineering, automation, or IT systems Hands-on experience building integrations and workflows using platforms like Workato or similar Experience with LLM-based systems including prompt design, agent orchestration, and tool usage Strong understanding of SaaS ecosystems and API-driven architectures Experience implementing security and compliance controls in cloud-native environments (AWS preferred) Ability to operate at both deep technical and strategic levels

Preferred Qualifications

Experience with MCP or similar model context and agent frameworks Experience with Microsoft 365 Copilot extensibility and Graph API Experience with Claude or other enterprise LLM platforms Exposure to AI governance frameworks and responsible AI practices Background in scaling internal platforms in a high-growth SaaS company Core Competencies Systems thinking and platform design AI & Automation-first mindset Security and risk awareness in AI sys