Enterprise Engagement Manager

namename·Remote(United States)
Other
Excel

WFA Digital Insight

As the demand for AI-powered solutions skyrockets, companies like Unframe are revolutionizing the enterprise landscape. With the global AI market expected to reach

90 billion by 2025, professionals with expertise in managing complex, multi-stakeholder projects are in high demand. This role stands out for its unique blend of program management, product enablement, and customer partnership, requiring a distinctive set of skills that include business-technical fluency and strong execution capabilities. Before applying, candidates should be prepared to demonstrate their ability to navigate intricate project dynamics and drive measurable business impact.

Job Description

About the Role

The Enterprise Engagement Manager at Unframe plays a pivotal role in the company's mission to bring LLM-powered applications to life for the world's largest enterprises. This position is at the forefront of delivering, adopting, and ensuring the success of Unframe's AI solutions across its largest enterprise customers. By joining the Product Growth team, the successful candidate will be instrumental in turning tailored AI concepts into working solutions that deliver tangible business impact.

The role is a hybrid of program management, product enablement, and customer partnership, making it a unique opportunity for professionals who thrive in complex, dynamic environments. The Enterprise Engagement Manager will coordinate with various stakeholders, ensure the smooth rollout and adoption of AI solutions, and help customers expand the impact of Unframe's platform across their organization.

Unframe's innovative approach combines the speed of a product company with the flexibility of a consultancy, allowing customers to move from idea to deployed AI systems faster than anyone else in the market. Backed by significant Series A funding from leading investors, Unframe is poised for rapid growth and is seeking a skilled professional to contribute to this journey.

What You Will Do

  • Own the delivery and adoption of Unframe's AI solutions across enterprise accounts, from post-POC rollout through expansion.
  • Partner with Product Managers to translate customer needs into actionable project plans and ensure execution at scale.
  • Orchestrate stakeholders, managing alignment across business, IT, and data teams within large organizations.
  • Define and measure success, tracking adoption, usage, and business impact to demonstrate value.
  • Lead enablement and training sessions to help customers operationalize Unframe's AI solutions.
  • Ensure project velocity by coordinating between internal teams (Product, Engineering, Solutions) to keep deployments on time and on scope.
  • Identify expansion opportunities by surfacing new use cases and operational gaps that AI can solve.
  • Provide structured feedback from the field to shape Unframe's product roadmap and delivery playbooks.
  • Develop and maintain strong relationships with key customer stakeholders to ensure high levels of satisfaction and retention.
  • Collaborate with cross-functional teams to develop and implement best practices in AI solution delivery and customer engagement.
  • Stay updated on the latest trends and developments in AI, data, and digital transformation to continuously improve service delivery.

What We Are Looking For

  • 3+ years of experience in enterprise-facing roles such as Program Manager, Engagement Manager, Enterprise Customer Success Manager, Implementation Lead, or Technical Account Manager.
  • Proven experience managing complex, multi-stakeholder enterprise projects, ideally involving AI, data, or SaaS platforms with digital transformation elements.
  • Strong execution and project management skills, with the ability to plan, coordinate, and deliver under tight timelines.
  • Business-technical fluency, with the capability to translate between executives, engineers, and users with ease.
  • Excellent communication and relationship-building skills in English; proficiency in Hebrew is a plus.
  • High ownership, attention to detail, and a hands-on, problem-solving mindset.
  • Experience with Excel and other productivity tools for data analysis and presentation.
  • Strong analytical skills, with the ability to interpret data and make informed decisions.
  • Ability to navigate a fast-paced environment with multiple projects and deadlines.

Nice to Have

  • Experience with AI, automation, or data-driven enterprise transformations.
  • PMO certification or a structured project management background.
  • Background working with LLM or GenAI products.
  • Technical fluency, with the ability to understand API integrations or data workflows.
  • Previous experience in consulting or a similar field.

Benefits and Perks

  • Competitive compensation package.
  • Opportunity to work with cutting-edge AI technology and contribute to its development and implementation.
  • Collaborative and dynamic work environment with a team of talented professionals.
  • Professional development opportunities, including training and education programs.
  • Flexible working arrangements, including remote work options.
  • Access to the latest tools and technologies to support your work.
  • Recognition and reward for outstanding performance and contributions.
  • Comprehensive health insurance and other benefits to support your well-being.
  • Generous PTO policy to ensure a healthy work-life balance.

How to Stand Out

  • Develop a strong understanding of AI and its applications in enterprise settings to stand out as a candidate.
  • Highlight your experience with project management tools and methodologies to demonstrate your ability to manage complex projects.
  • Practice your communication skills, as the ability to translate technical concepts to non-technical stakeholders is crucial.
  • Prepare examples of how you've driven business impact through your work, as this is a key aspect of the role.
  • Research Unframe and its competitors to understand the market context and show your interest in the company's mission.
  • Be ready to discuss your experience with data analysis and interpretation, as well as your proficiency in tools like Excel.
  • Emphasize your problem-solving skills and ability to work in a fast-paced environment with multiple priorities.

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