Alternative Careers for Software Engineers

Build and manage partnerships and channel relationships to drive revenue growth for Rasa's AI agent platform. Focus on identifying partners, negotiating agreements, tracking pipeline influence, and ensuring partner success in closing deals.

Work at the intersection of legal domain expertise and AI product development, translating customer needs into technical solutions and helping shape how legal AI products are built and deployed.

Lead a team of engineers designing and deploying autonomous systems across defense aircraft programs, focusing on system architecture, technical strategy, and cross-functional integration rather than hands-on coding.

Support the operations and supply chain team in designing and implementing business process improvements, working with engineers to automate manual workflows and build relationships with business partners.

Test an AI automation platform across devices and browsers, identify and document bugs with reproduction steps, assess usability issues, and prioritize fixes by severity. This is hands-on quality assurance work focused on breaking things and ensuring user experience rather than building features.

Monitor and support the operational health of a distributed transportation platform, investigating incidents, troubleshooting system issues, and running database queries to identify root causes rather than building new features.

A game producer role focused on shepherding Castle Busters from prototype to market-ready title, involving cross-functional coordination, game design decisions, and player experience optimization rather than coding.

Design and iterate on gameplay mechanics, modes, and rules for Paper.io 2's multiplayer experience, collaborating with studios and leveraging creative problem-solving within an established game universe. Focus is on gameplay systems design rather than engineering implementation.

Senior consultant role focused on SEO/GEO strategy and implementation within a data and AI consulting firm. Involves advising enterprise clients on search optimization, likely combining technical knowledge with business strategy and client management.

Own the technical and business performance analysis of Alan's life and income protection insurance product, focusing on profitability, pricing models, underwriting support, and product launches. Day-to-day involves data analysis, financial modeling, metrics tracking, and cross-functional collaboration with underwriting and reinsurance teams.

Enterprise sales role focused on prospecting, qualifying, and closing deals with large companies. Day-to-day involves identifying prospects, managing the full sales cycle, and expanding customer relationships with technical data platform products.

Work directly with the CEO on scaling operations, removing bottlenecks across teams, improving hiring processes, and owning company strategy and reporting. Day-to-day involves cross-functional problem-solving, people management, and operational efficiency initiatives.

Build and maintain quantitative forecasting models for energy markets, translating complex data into actionable intelligence reports. Engage with clients and industry stakeholders to present market analysis and insights.

Enterprise sales role focused on acquiring mid-market customers for a sales engagement platform. You'll manage the full sales cycle from prospecting through closing, using the company's own product as your primary tool while leveraging both inbound leads and outbound prospecting.

Build data pipelines, metrics frameworks, and analytics systems to measure advertising performance and business outcomes for streaming TV campaigns. Work with product and marketing teams to translate raw data into actionable insights that drive platform optimization.

Manage day-to-day global privacy operations including data subject requests, process improvement, data mapping, and privacy impact assessments. This is a compliance and operations-focused role that doesn't require coding.

A Technical Recruiter sources, screens, and hires engineering talent for Monzo's tech teams. Day-to-day involves understanding technical requirements, evaluating candidates' skills, conducting interviews, and building relationships with potential hires.

Lead and develop engineering teams, manage technical strategy and execution, mentor engineers, and drive cross-functional collaboration to deliver banking products and features.

Qualify inbound leads and prospect into target accounts for an AI platform, having technical conversations with customers to help them understand how generative AI impacts their business. Day-to-day involves outreach, pipeline building, and explaining complex AI products to non-technical stakeholders.

A postdoctoral research position focused on developing calibration methods for generative AI models, with responsibilities spanning research, mentoring junior researchers, and potentially teaching. The role involves theoretical and practical work on uncertainty quantification in generative models rather than production software engineering.