Alternative Careers for Software Engineers

Own the post-sales lifecycle for enterprise financial institution customers—managing implementation, product adoption, renewals, and expansion by serving as the technical point of contact and identifying cross-selling opportunities across the organization.

Work with enterprise clients across UK and Nordics to design and execute large-scale AI adoption strategies, translating business goals into technical roadmaps and overseeing deployment of customized AI systems. Balance strategic planning with hands-on delivery leadership on high-stakes engagements.

Own and define product strategy for financial services features, working cross-functionally with engineering and design teams to understand user needs, set roadmaps, and launch products. Day-to-day involves stakeholder alignment, metrics definition, and iterative product improvement rather than writing code.

Work at the intersection of AI model capabilities and user needs, defining requirements, making technical trade-offs, and collaborating with ML/engineering teams to shape product behavior and evaluation metrics. Minimal coding; primarily strategic decision-making and cross-functional leadership.

Define product strategy and user problems for AI-powered investing features, working cross-functionally with engineering and design teams to launch and iterate on financial products. Heavy focus on roadmap planning, success metrics, and user research rather than hands-on coding.

Define AI product behavior and system requirements for an email app by working at the intersection of ML capabilities, engineering constraints, and user needs. Spend most time on requirements definition, trade-off analysis, evaluation frameworks, and cross-functional collaboration rather than coding.

Work at the intersection of AI model capabilities, engineering constraints, and user needs to define requirements and behavior for an AI email product. Day-to-day involves translating technical capabilities into product decisions, defining evaluation frameworks, and collaborating with ML and engineering teams on system design and iteration.

Define product strategy and roadmap for AI-powered financial products, collaborating with engineering and design teams to understand user needs, scope features, and launch initiatives. Requires technical acumen to work effectively with engineers but focuses on product direction rather than coding.

Define product direction and strategy for AI-powered financial services, working cross-functionally with engineering and design teams to identify user problems, set roadmaps, and launch features iteratively.

Define product strategy and roadmap for AI-powered financial services (stockbroking, insurance, payments), working with engineering and design teams to understand user needs, scope features, and launch products iteratively.

Define product strategy and direction for financial services features within a neobank, working across user research, roadmap planning, metrics definition, and cross-functional collaboration with engineering and design teams rather than writing code.

Own product areas within an AI investing platform by defining user problems, setting product direction, collaborating with engineering and design teams, and managing roadmap/launch cycles. This is a non-coding product leadership role leveraging technical understanding.

Own product areas within a fintech platform by defining user problems, product scope, success metrics, and roadmaps. Work cross-functionally with engineering and design teams to launch features and iterate based on user feedback.

Define product strategy and roadmap for AI-powered investing features, working cross-functionally with engineering and design teams to launch financial products. Success requires understanding user needs and metrics rather than writing code.

Lead data strategy and reporting capabilities for a global business services team, owning data quality, governance, KPI definitions, and translating operational data into insights for leadership decision-making.

Shape enterprise AI adoption strategies for large organizations by translating executive priorities into technical roadmaps, managing complex AI transformation programs, and ensuring successful deployment outcomes across high-stakes industries.

Design and execute quantitative user research studies to inform product decisions at an e-commerce company. Work with statistical analysis, study design, and data interpretation to translate user behavior into actionable insights for product teams.

Lead post-merger integration efforts for acquired IT companies within GBC Group, translating corporate strategy into operational execution across subsidiary businesses while managing stakeholders, timelines, and organizational change.

Work with enterprise customers to understand their technical needs and design payment/financial solutions using Stripe's platform. Blend technical expertise with business consulting, partnering with sales on complex deals rather than building code yourself.

Lead customer implementations and onboarding of Chainguard's security platform, acting as the primary technical liaison between customers and the product team while driving adoption and gathering feedback for product improvements.