AI Solutions Manager

AI Solutions Manager

Andela

North America / Canada / United Kingdom / Remote

Job Type: Full-Time

Function: Data Science

Industry: Enterprise

About Andela:

Andela was created with one thing in mind: Brilliance is evenly distributed, but opportunity isn't. Our platform bridges that gap. We specialize in helping our highly-skilled, global technology talent community in emerging markets, connect with hundreds of leading companies like InVision, Cloudflare, and ViacomCBS who leverage Andela to scale their technology teams quickly and cost-effectively.

At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected its customers with top global, remote technical talent from over 135 countries with the majority residing in emerging markets like Africa and Latin America.

Andela is on the precipice of two breakout industry transformations: one in staffing/hiring and the other in software development, both accelerated by generative AI.

Are you an exceptional, hungry leader seasoned in scaling businesses through transformation and growth? Join us and change the world.

Job Summary:

The AI Solution Manager drives the strategy and commercialization of assigned AI solutions, transforming custom programs into scalable, high-margin Solution Packages.

This is a strategic and commercial role combining product management, go-to-market, and partnerships, requiring strategic thinking, commercial acumen, and technical fluency.

Exceptional Leadership:

• Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea.
• One team mentality: You break silos across teams. You put the company and mission first above your team alone.
• Great listener, hungry for feedback: You're always seeking to improve – our product, our business, yourself. You solicit diverse opinions and deeply listen.
• Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.
• Player-coach: You fly high (create strategy) AND low (know the details that matter). You roll up your sleeves and get scrappy. You do this proactively collaborating with your team while actively engaging in important details.
• Business problem solver: You're not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems.

Key Responsibilities (by weight):

1. Solution Strategy & IP Development (40%): Design scalable Solution Packages (50-70%+ margin, outcome-based), define roadmaps, capture IP/build playbooks for 10X faster deployment, and define solution scope/success criteria.
2. Commercialization & Go-to-Market (40%): Create sales enablement (battle cards, ROI calculators, training), design pricing (T&M → outcome-based), define ICPs, support demand generation, and identify "lighthouse customers."
3. Partnerships & Ecosystem (20%): Identify and cultivate strategic technology (AWS, Databricks, LLM platforms) and SI (Accenture, Deloitte) partnerships; develop co-marketing/co-selling motions; represent Andela in thought leadership.

Success Metrics:

• 90 Days: Approved solution strategy, sales enablement complete, 2-3 lighthouse customers engaged.
• 6 Months: First Solution Package (alpha) launched, $500K-$1M pipeline, 3-5 reference case studies, 1-2 partnerships activated.
• 12 Months: Solution Package matured (beta/final), $2M-$5M revenue, 50-70%+ margins, solution becomes a competitive differentiator.

Required Qualifications:

• Experience: 8-12 years in solutions consulting, product management, or GTM, with 5+ years in B2B enterprise software/services. Proven 0-to-1 track record (strategy → packaging → commercialization → revenue).
• Skills: Strategic, Commercial (pricing design), Sales Enablement, Executive Communication, Technical Fluency (moderate depth), and AI/ML Fundamentals (preferred).

Preferred Qualifications:

• Top-tier consulting or boutique firm experience.
• Product management with full GTM responsibility.
• Partnerships experience.
• Startup/scale-up experience.
• AI solutions expertise (LLM/RAG, ML platforms).