Senior Solutions Engineer

Senior Solutions Engineer

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 works as part of 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'll lead discovery, translate ambiguous business needs into technical and delivery requirements, shape solutions across Andela's portfolio, and help ensure that what we sell can be successfully delivered.

Sales Engineering also helps improve how Andela sells. The team is developing new approaches to technical qualification, AI-assisted assessment, solution design, demonstrations, and sales tooling. This role offers the opportunity to contribute to those systems and practices while working directly on some of Andela's most complex customer opportunities.

This reflects the department's broader mandate to support opportunities across Talent Solutions, AI Solutions, and Learning & Assessment Solutions rather than operating within a single offering.

Key Responsibilities

• Lead technical discovery and qualification with business and technical stakeholders to understand customer objectives, environments, constraints, capabilities, and desired outcomes.

• Shape customer solutions by developing initial recommendations around architecture, scope, delivery model, team structure, technical requirements, timelines, risks, and dependencies.

• Work across Andela's full portfolio , identifying when customer needs are best addressed 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 turning field experience into 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 that can improve our offerings, technology, and go-to-market approach.

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, with the ability to engage 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. This is not a full-time software engineering role, but strong technical curiosity is important.

• 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.