Alternative Careers for Software Engineers

Design and build the internal metrics and data infrastructure that enables product teams across 24+ products to measure success. Day-to-day involves defining metric standards, creating data contracts, establishing governance processes, and educating product teams on using behavioral data effectively.

Define and optimize the customer acquisition funnel for German SMEs, owning the systems that decide which businesses to target and guide them through the loan application journey. Work cross-functionally with data scientists and engineers to run experiments and iterate on go-to-market strategy.

Lead product strategy and roadmap for payment acceptance optimization features, working cross-functionally with engineering, data, and merchant teams to drive product decisions that increase merchant profitability and scale.

Define product strategy and roadmap for Checkout.com's agentic commerce platform, working across engineering, merchant partners, and AI platforms to establish standards and integrations in an emerging market.

Own the end-to-end onboarding experience for a crypto trading platform, using data analysis and user research to identify friction points, optimize conversion funnels, and design trust-building experiences for new users across web and mobile.

Design and optimize enterprise-wide project delivery frameworks and processes for consulting engagements, while identifying and implementing AI solutions to automate and standardize project workflows. Focus on governance, quality standards, and continuous improvement across a global portfolio.

Design and lead SAP finance system migrations and transformations for enterprise clients, moving from technical analysis through architecture to implementation oversight. Involves mentoring project teams, conducting technical workshops, and advising clients on complex financial system upgrades rather than writing code.

Design and deliver AI training programs, workshops, and educational content for European SMEs and startups. Collaborate with partners to identify training needs, organize events, and build educational resources while fostering an AI talent ecosystem across Europe.

Work-study position in a FinTech's risk management team, analyzing risk data, digitizing manual processes with workflows and AI, and creating executive reports and dashboards using Excel and data visualization tools.

Lead AI quality assurance efforts by testing, monitoring, and evaluating AI-driven customer support systems, working with cross-functional teams to validate accuracy, compliance, and user experience across self-service to human handoff transitions.

Transform operational and financial data into business intelligence and actionable insights for executives and operators. Proactively monitor business performance across multiple dimensions and communicate findings to drive strategic decisions.

Define product vision and strategy for Double Order feature, balancing customer experience with marketplace economics and logistics. Work cross-functionally with design, engineering, and data teams to drive product decisions and business outcomes.

Use experimental design and causal inference to analyze marketplace economics, informing business decisions across Deliveroo's restaurant, rider, and consumer sides. Work with data to identify optimization opportunities and drive strategic recommendations rather than build production systems.

Define and build shopping experiences for retail categories by translating customer needs and business strategy into product requirements, working cross-functionally with design and engineering teams to ship features that drive user behavior.

Define and execute product strategy for Deliveroo's grocery and retail expansion, working across data, design, and engineering teams to identify growth opportunities and deliver high-impact solutions for a multi-sided marketplace.

Lead product strategy and prioritization for Deliveroo's logistics network, collaborating with engineers and data teams to translate complex delivery optimization challenges into product features that improve customer, merchant, and rider experiences.

Work with AI startups as a trusted technical advisor, combining hands-on engineering with product feedback loops. Spend significant time on presentations, demos, workshops, and developer community engagement while building tools and translating customer insights back to OpenAI's core teams.

Lead the technical strategy and customer success for OpenAI's enterprise AI deployments across EMEA, managing implementation timelines, platform integration, and cross-functional alignment rather than writing code. Day-to-day involves customer strategy sessions, coordinating technical teams, identifying use cases, and driving production deployments.

Act as a technical advisor and implementation specialist for CodeRabbit's commercial customers, guiding them through onboarding, integration, and optimization of the AI code review platform while collaborating with cross-functional teams to ensure customer success.

You deploy AI software at manufacturing plants by understanding production problems, connecting messy data sources, and ensuring operators adopt the solution daily. This is heavy customer-facing work combining technical troubleshooting, domain expertise, and change management rather than software development.