Senior Solutions Engineer

At Andela, we believe brilliance is globally distributed, but opportunity is not. For over a decade, Andela has connected businesses with top-tier, remote technical talent from over 135 countries , primarily in emerging markets across Africa and Latin America. As one of the world’s largest talent marketplaces, Andela provides companies the flexibility to deploy skilled technologists quickly across Application Development, AI, Cloud & DevOps, and Data Engineering . Andela Talent Cloud (ATC) is our platform for managing the complete global talent lifecycle.

We are at the intersection of two major industry shifts—one in staffing and hiring, and another in software development—both accelerated by AI . We are seeking a builder who wants to own the platform at the center of this transformation.

About the Role

Andela is building a modern Sales Engineering function that helps customers solve complex technology and organizational challenges across our three primary offerings:

• Talent Solutions – specialized technical expertise that integrates with the customer’s team.
• AI Solutions – managed delivery and repeatable solutions where Andela owns defined outcomes.
• Learning & Assessment Solutions – assessing, training, and upskilling customer teams.

As a Senior Solutions Engineer , you will serve as a technical partner to customers, Sales, and Delivery. You will:

• Lead discovery and translate ambiguous business needs into technical and delivery requirements.
• Shape solutions across Andela’s portfolio, ensuring what we sell can be successfully delivered.
• Contribute to improving how Andela sells by developing new approaches to technical qualification, AI-assisted assessment, solution design, demonstrations, and sales tooling.

This role spans opportunities across Talent Solutions, AI Solutions, and Learning & Assessment Solutions , rather than focusing on a single offering.

Key Responsibilities

• Lead technical discovery and qualification with stakeholders to understand customer objectives, environments, constraints, capabilities, and desired outcomes.
• Shape customer solutions by developing recommendations around architecture, scope, delivery model, team structure, technical requirements, timelines, risks, and dependencies.
• Work across Andela's full portfolio , identifying the best solutions for customer needs, whether through Talent Solutions, AI Solutions, Learning & Assessment Solutions, or a combination.
• Bring technical depth to the sales process , including architecture discussions, technical presentations, demonstrations, workshops, prototypes, proposals, and RFPs.
• Partner closely with Delivery and specialist teams to validate proposed approaches and ensure opportunities are well-defined before commitments are made.
• Contribute to Sales Engineering technology and methodology , including technical assessments, AI-assisted qualification, discovery frameworks, demonstrations, internal tooling, and automation.
• Improve how Andela sells by creating reusable playbooks, technical content, solution patterns, and better sales-to-delivery processes.
• Bring the voice of the customer back into Andela , identifying patterns and opportunities to improve offerings, technology, and go-to-market strategies.

Qualifications

• 6+ years of relevant professional experience, including significant experience in Sales Engineering, Solutions Engineering, Solution Architecture, technical consulting, professional services, engineering leadership, or another customer-facing technical role.
• Strong technical fluency across modern software development, cloud architecture, data platforms, APIs, and AI-enabled systems.
• Demonstrated ability to independently lead technical discovery and translate ambiguous business problems into practical solution approaches.
• Experience evaluating architecture, technical tradeoffs, dependencies, risks, and delivery considerations.
• Strong customer-facing communication and storytelling skills, engaging both senior business stakeholders and deeply technical audiences.
• Experience working cross-functionally with Sales, Delivery, Product, Engineering, or related teams.
• Familiarity with modern AI technologies such as generative AI, LLM-based applications, agents, retrieval systems, AI-assisted software development, or related platforms.
• Comfort experimenting with technical tools, APIs, automation, prototypes, or AI-enabled workflows.
• A builder mindset and comfort operating in an evolving environment where processes, offerings, and tools are still being developed.
• Experience with managed services, technical assessments, training/enablement, application modernization, data engineering, or enterprise technology solutions is a plus.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field or equivalent practical experience.