Alternative Careers for Software Engineers

A Principal Sales Engineer bridges technical expertise and customer relationships by demonstrating complex identity/security solutions to enterprise clients, handling technical objections, and guiding sales processes through proof-of-concepts and implementations.

Demonstrate Camunda's value to enterprise customers during product evaluations and guide them through the buying process, combining technical knowledge with sales acumen to close deals and ensure customer success.

Senior consultant conducting IT due diligence and technology assessments for M&A transactions and corporate restructuring, advising C-suite executives on IT strategy, infrastructure, and digital transformation initiatives rather than building software.

Work with enterprise clients to design and implement AI transformation strategies, bridging the gap between organizational ambitions and technical execution by collaborating with IT and engineering teams to introduce AI-native practices and custom systems.

Work directly with enterprise customers to understand their business processes, design AI automation solutions, and oversee deployments from discovery through production. Involves workflow design, prompt engineering, integrations, and optimization rather than core software development.

Lead the design vision and evolution of Miro's canvas format experiences (prototyping, slides) with a focus on AI-native product thinking, working across design strategy, user experience, and cross-functional collaboration rather than implementation.

Lead a central product management team supporting European game studios in building and managing live service games, acting as a subject matter expert who bridges studio needs with cross-functional partners like analytics and marketing.

Develop and execute test strategies and automated tests for PlayStation development tools, focusing on quality assurance rather than feature development. Collaborate with application teams to ensure tools used by game developers meet high standards.

Lead product strategy and execution for AI/ML analytics and experimentation capabilities at PlayStation, focusing on data-driven decision-making, CLV/LTV modeling, and cross-functional stakeholder management rather than hands-on coding.

Lead the periodic review and portfolio management process for PlayStation game studios, coordinating internal reviews, tracking development progress across multiple titles, and driving strategic follow-up actions based on deep game development expertise.

Lead and grow Cloudscaler's Applied AI consulting business unit, managing client engagements, strategy, and delivery of AI solutions for enterprise and public sector customers. Involves business development, client relationship management, team leadership, and hands-on consulting work rather than coding.

Work directly with customers to design and implement Redis-based solutions, running proof-of-concepts and pilots while translating technical capabilities into business value. Heavy focus on customer collaboration, problem-solving, and consulting rather than building products.

Drive product strategy and roadmap for ML/AI features at a fintech company, translating business problems into ML solutions and managing cross-functional teams to deliver customer value without writing production code.

Own the product strategy and implementation of Qonto's customer verification and compliance systems, working cross-functionally with engineering, compliance, and design teams to build sophisticated due diligence features for 600,000+ SME customers.

Work directly with customers to design, build, and deploy production AI/GenAI applications, acting as a technical advisor and trusted expert rather than building internal product. Combines hands-on technical work with customer engagement, strategy, and thought leadership.

Lead technical customer engagements by designing solutions, building proofs-of-concept, and delivering product demonstrations to drive Databricks adoption. Balance hands-on technical work (coding, architecture) with customer relationship management and account strategy.

Work with enterprise customers to architect and demonstrate how Databricks' data platform solves complex technical challenges, combining deep technical knowledge with client advisory and customized solution design.

Work directly with customers to design and implement end-to-end data and AI solutions on the Databricks platform, balancing hands-on technical work with architecture decisions, customer collaboration, and business impact.

Work as a trusted technical expert guiding enterprise customers in building production ML/AI systems on Databricks, designing architectures, mentoring colleagues, and establishing thought leadership in GenAI and MLOps rather than writing production code.

Lead technical discovery and solution design for enterprise customers, building demos and proofs-of-concept on Databricks while owning customer relationships and growth strategies alongside sales teams.