Lead AI Engagement Specialist

This is a fully remote position, open to applicants in India.

📋 Description

• Take ownership of a portfolio of AI workflows across one or more business functions from start to finish.

• Identify and prioritize AI opportunities based on value, feasibility, data readiness, risk, and time to impact.

• Analyze current processes by examining volumes, cycle times, costs, exceptions, decision points, systems, and data.

• Redesign workflows by defining responsibilities for agents and humans, handoffs, escalation paths, and controls.

• Develop business cases that include baselines, benefit hypotheses, quantified targets, costs, payback periods, and sensitivity analyses.

• Produce Product Requirement Documents (PRDs), set acceptance criteria and quality benchmarks, and manage the functional roadmap.

• Collaborate daily with architects and engineers to make scope decisions, clarify ambiguities, and test and accept deliverables.

• Define evaluation datasets and track live agent performance, such as accuracy, quality, escalation, latency, cost, and user satisfaction.

• Drive adoption through enablement, training, communications, championing, and updates to policies and standard operating procedures (SOPs).

• Ensure compliance with responsible AI practices, data handling, privacy, and approval requirements.

• Contribute reusable patterns to the AI Centre of Excellence.

• Lead and manage other AI Engagement Specialists.

⛳️ Requirements

• A minimum of 7 years of experience in product management, business or digital transformation, operations strategy, or top-tier consulting.

• Proven track record of implementing changes that are sustainable.

• Tangible ownership of product specifications or PRDs developed by engineering teams.

• Strong capability in process redesign.

• Expertise in business case development and value modeling, including baselines, unit economics, cost to serve, and payback analysis.

• Proficiency in data literacy, including BI tools and the ability to define and track metrics.

• Working knowledge of AI systems, including retrieval, agents, hallucination, grounding, evaluation, human-in-the-loop, and costs.

• Experience in change management and user adoption with actual end users.

• Ability to influence senior-level stakeholders without formal authority.

• Exceptional written communication skills.

• Deep functional expertise in the relevant business function.

• Strongly preferred: Experience with Enterprise B2B SaaS.

• Knowledge of manufacturing, supply chain, or ERP domains.

• Experience in deploying AI or automation in production environments.

• Familiarity with operating across multiple regions and time zones.

• Experience collaborating with system integrators or external delivery partners.

🏝️ Benefits

• Programs that promote a healthy work-life balance.

• Opportunity to be part of a growing business entering a new phase of expansion and transformation.

• A collaborative culture with supportive colleagues.

• An environment that fosters growth and opportunity.

• Prioritization of idea-sharing over hierarchy or level.

• Compensation packages tailored to experience and desired skill set.

• Commitment to diversity, equity, and inclusion through dedicated programs.

• An equal opportunity workplace.