About the job
At Section, we’re building the business school for the Age of AI. Generative AI is crashing into organizations, careers, and livelihoods. Yet the workforce is unprepared for this level of change. Therefore, we believe it’s our job to enable every knowledge worker to join the AI class – making them confident and proficient with AI, putting AI to work in their role or function. Our goal is to bring 100,000 employees into the AI class by 2025, and millions more by the end of the decade.
Section is seeking an experienced AI Transformation Consultant to assist in pre-sales consulting and post-sales implementation advisory services.
Mission
- Partner with our sales and customer success teams to develop and deliver winning AI implementation strategies for midsize enterprise clients, ensuring successful adoption and deployment of LLM solutions across their organizations.
- Create organizational readiness assessments
- Design practical AI adoption roadmaps that address both technical and human factors
- Develop compelling ROI models and implementation timelines
- Support successful deployment and adoption of proposed solutions
Key Projects
- Pre-Sales Support (40% of role)
- Conduct AI readiness discovery sessions with prospective clients
- Create customized adoption frameworks based on client's organizational structure and needs
- Develop detailed implementation proposals including timelines, resource requirements, and success metrics
- Present solutions to client stakeholders at various levelsImplementation
- Planning (30% of role)
- Design change management strategies for LLM adoption
- Develop training and enablement programs for different user groups
- Establish success metrics and monitoring frameworks
- Post-Sale Implementation Support (30% of role)
- Guide clients through initial deployment phases
- Share best practices for AI adoption
- Monitor adoption metrics and adjust strategies as needed
Requirements
- Experience: 5+ years in organizational consulting, digital transformation or enterprise software deployments, ideally with exposure to large scale change management programs.
- Technical Knowledge: Practical understanding of LLMs, AI capabilities, and challenges related to AI deployment in large organizations.
- Change Management: Familiarity with change management principles and the ability to help clients prepare for organizational adjustments associated with AI adoption.
- Sales Support: Proven experience in pre-sales roles, crafting proposals, and influencing executive decision-makers.
- Communication: Exceptional communication and presentation skills, with an ability to translate complex AI concepts for diverse audiences.
$10,000 - $10,000 a month
Part time to start with potential for full-time
~20 hours per week
Start date: Dec 15th, 2024
How to apply
To apply, submit your LinkedIn profile and completed short assignment below to Rebecca at rfernandez@sectionschool.com
Assignment (3 parts)
1. Describe a change management project you've managed, including:The challenges you encounteredHow you overcame resistance to changeThe measurable outcomes achieved
2. Share an outline of a plan you would use to assess the AI readiness of a prospect’s organization on a discovery call with the client. How would you assess an employee's readiness to adopt AI every day? Feel free to include additional follow up you’d use to assess readiness, but focus your outline on what you’d cover in the first discovery call. No more than 500 words or 5 slides.
3. Share your perspective on the key factors for successful enterprise AI adoption inside a typical mid-size US enterprise. No more than 500 words or 5 slides.
Who we are
At Section, we believe that different perspectives, backgrounds, and experiences create a whole that is greater than the sum of its parts. A diverse and inclusive team creates a better product.
We are an equal opportunity employer and do not discriminate against any employee or applicant on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, age, marital status, military or veteran status, or any other characteristics protected by law.
All employment is decided on the basis of qualifications, merit, and business need. We encourage candidates of underrepresented backgrounds to apply.
