AI Workflow Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Collaborate with leaders from Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to pinpoint the most impactful opportunities for integrating AI into actual operational workflows (beyond isolated demonstrations).

• Facilitate the discovery process: analyze existing processes, quantify pain points, establish desirable outcomes, and convert vague requirements into explicit workflow specifications and success metrics.

• Develop and manage an AI workflow roadmap organized by business impact, readiness, and capacity for change; align priorities with departmental leaders and the AI Transformation team.

• Conduct assessments on whether to build or purchase solutions for each opportunity (SaaS tools, platforms, automation solutions), providing a clear recommendation and implementation strategy.

• Lead change management and enablement initiatives: conduct working sessions, create playbooks, host training sessions/brown bags, and mentor teams to enhance AI literacy and ensure ongoing adoption.

• Create reusable frameworks and standards for integrating AI into internal tools (workflow templates, governance checklists, measurement frameworks) so that other teams can expedite their processes.

• Set operational guidelines for AI-enabled workflows in collaboration with Security, Legal, and Compliance (including data handling, PII safety, access controls, prompt injection resilience, and human-in-the-loop requirements).

• Establish evaluation and monitoring standards for workflows (accuracy/quality, safety, cost, latency, adoption); implement feedback mechanisms to facilitate continuous improvement of workflows.

⛳️ Requirements

• Over 6 years of experience in internal consulting, business operations, business systems, product operations, solutions architecture, or a similar role that bridges business and technology.

• Must possess software engineering experience, including at least 4 years of delivering internal AI-native tools to production.

• Must have experience in establishing an internal AI program, workflow automation Center of Excellence, or “AI for employees” capability in a previous role.

• Experience in B2B SaaS, enterprise workflows, and/or environments with high compliance requirements (privacy, security, auditability).

• Strong stakeholder management skills: able to influence across various functions, align senior leadership, and make decisions amidst competing priorities.

• Capability to convert business challenges into structured requirements, operational metrics, and phased delivery plans.

• Proficient in AI concepts: understanding of how LLM-based systems operate (prompting, retrieval, tool use/function calling at a conceptual level) and how to assess quality, risk, and trade-offs in cost/latency.

• Experience in evaluating and implementing software solutions (build vs buy), including vendor assessments, security evaluations, rollout strategies, and ongoing ownership frameworks.

• Comfort in collaborating with technical teams and understanding technical documentation (PRDs/briefs, user stories, acceptance criteria, basic data models).

• Ability to prototype using low-code/no-code tools is essential.

• Strong analytical and measurement capabilities: able to establish baselines, instrument processes, and report outcomes; can differentiate between adoption activities and genuine impact.

• Exceptional written and verbal communication skills: capable of producing clear briefs, conducting effective workshops, and articulating trade-offs to both technical and non-technical audiences.

• High sense of ownership and a proactive approach; excels in fast-paced SaaS environments with evolving AI tools.

• Bachelor’s degree in a relevant field (Business, Information Systems, Engineering, Computer Science) or equivalent practical experience.

🏝️ Benefits

• Comprehensive benefits package including health, dental, and vision insurance.

• 401(k) plan with company matching contributions.

• Generous paid time off to support your overall well-being.

• Flexible work environment options, whether remote, hybrid, or in-office.

• An inclusive and collaborative company culture.