andela - Senior Solutions Engineer
Requirements
• 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.
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.
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