The company delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. In this high-impact role, the Senior Forward Deployed Engagement Manager will lead the delivery of our most advanced customer initiatives, specifically focusing on the deployment of Agentic AI and Generative AI solutions.
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Key Responsibilities
- Lead Complex AI Engagements: Own the end-to-end delivery lifecycle for high-stakes professional services engagements. You will manage the scope, timeline, budget, and execution of projects building GenAI agents and predictive solutions.
- Bridge Business & Technology: Act as the primary translation layer between client business stakeholders (up to the C-suite) and the company’s technical delivery team (AI Engineers and Data Scientists). You will ensure business goals are accurately translated into technical requirements.
- Technical Risk Management: Leverage your technical background to identify implementation risks early—whether related to data infrastructure, API integrations, or agent logic—and work with the engineering team to mitigate them before they impact the critical path.
- Stakeholder Management: Cultivate strong, trusted relationships with client sponsors. You will manage expectations, handle escalations, and navigate complex organizational dynamics to ensure project success.
- Drive Adoption & Change: Go beyond delivery by helping customers understand how to operationalize and adopt Agentic workflows, advising on process changes required to integrate AI agents into their daily operations.
- Agile Delivery: Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction.
Requirements
- 7+ years of professional experience, including delivery of complex software or data products for enterprise clients.
- Experience in technical roles (e.g., Software Engineer, Solution Architect, Technical Lead) with progression into client-facing leadership roles (e.g., Engagement Manager, Technical Program Manager, Product Owner).
- Experience managing data science or machine learning projects.
- Technical undergraduate degree (Computer Science, Engineering, or similar); MBA preferred.
- Certifications such as PMP, Scrum Master (CSM), or cloud certifications (AWS, Azure, GCP) preferred.
- Experience working within a management consulting or technology consulting environment (Big 4 or boutique).
Working Conditions
The talent and dedication of our employees are at the core of the company’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements:
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP) and more!
