Enterprise Implementation Manager

aiOla is a deep tech lab specializing in Conversational AI, Voice AI, and Speech Technologies. We develop advanced ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) solutions that deliver over 95% accuracy in any language, accent, or environment. Our platform empowers enterprises to convert spoken workflows into structured, actionable data in real time. Clients include leaders in aviation, retail, healthcare, and manufacturing.

Role Overview

We are seeking a highly driven and detail-oriented Enterprise Implementation Manager to lead the delivery and long-term success of our largest enterprise accounts, including Fortune 500 companies. This role goes beyond coordination — it requires end-to-end accountability for client programs as well as hands-on technical ownership.

You will manage onboarding, implementation, and adoption across multiple projects while also getting directly involved in account setup, workflow administration, and system configuration. The ideal candidate is not afraid to "get their hands dirty," quickly learning and mastering new tools, ensuring accuracy in setup, and independently executing technical tasks.

This is a client-facing role that requires exceptional project management discipline, cross-functional leadership, technical acumen, and client-facing confidence.

• B.A./B.Sc. in Business, Engineering, Computer Science, Industrial Engineering, or related field.
• 3-5 years of experience in Program Management, Implementation, or Enterprise Delivery (preferably in B2B SaaS/AI)- a must
• Proven ability to manage enterprise accounts end-to-end and own delivery outcomes- a must
• Demonstrated technical aptitude: configuring workflows, administering accounts, and mastering new internal tools- nice to have
• Strong project management skills with the ability to set timelines, enforce accountability, and deliver results.
• Experience coordinating across global teams (including offshore).
• Hands-on technical background (software development, solutions engineering, or technical support) is a strong plus.
• Excellent communication and presentation skills, including with executive stakeholders.
• Startup experience is nice to have - ability to work in ambiguous environments is important.
• Remote work with monthly client visits.

Success in this role is measured by client adoption, program expansion, and accuracy of implementation (low error rates in configuration/setup). 

Program Ownership

• Own end-to-end delivery of enterprise programs, from onboarding through expansion.
• Manage multiple workstreams and timelines, ensuring milestones are met and dependencies are managed.
• Coordinate cross-functional collaboration with Product, R&D, and offshore teams.
• Act as the accountable owner of program success, ensuring no gaps in execution while being highly detail oriented. 

Technical Setup

• Configure client accounts, including user management, permissions, and workflow setup.
• Operate aiOla's internal tools and platforms, learning new features quickly and applying them independently.
• Troubleshoot and resolve setup-related issues to prevent client-facing errors.
• Collaborate with technical teams to ensure correct integrations and configurations.

Client Management

• Serve as the primary point of contact for enterprise clients, maintaining strong executive and operational relationships.
• Provide proactive communication, reporting, and leadership across all active projects.
• Ensure a reliable presence in client-facing meetings, leading with professionalism and accountability.

Enablement & Adoption

• Lead workshops, training sessions, and onboarding tailored to customer teams and use cases.
• Guide clients in leveraging AI-driven workflows to achieve measurable results.
• Deliver POCs, demos, and enablement sessions with technical precision.

Internal Leadership

• Represent the customer internally, surfacing needs and blockers to leadership.
• Work closely with Product and Engineering to troubleshoot, prioritize features, and improve workflows.
• Report on account health, adoption metrics, and ROI impact.

Salary Range is between K annually.