Alternative Careers for Software Engineers

Partner with sales and product teams to understand customer needs, deliver product demos, scope technical solutions, and act as a trusted advisor on how Synthesia's AI video platform solves business problems. Bridge the gap between customer requirements and product capabilities.

Guide developers in adopting Radiant's AI infrastructure platform through technical education, content creation, community engagement, and product feedback loops. Combine deep technical understanding with communication to bridge the gap between complex infrastructure and developer needs.

Define and execute the product strategy for AI infrastructure cluster onboarding and lifecycle management, working cross-functionally with engineering, operations, and customers to shape how clusters are integrated and managed on Radiant's platform.

Define and execute the strategy for an observability platform's core features (metrics, logs, traces, alerting, dashboards), working cross-functionally with engineering, design, and customers to prioritize roadmap and drive delivery of customer-facing telemetry capabilities.

Lead the security product strategy and roadmap for an AI infrastructure platform, defining features across identity, access control, and network security while collaborating with engineering, customers, and stakeholders to prioritize and execute on security capabilities.

Lead a team of technical sales engineers who qualify customer opportunities, run requirements workshops, and drive deals from initial feasibility checks through to handoff for implementation. Balance people management with hands-on involvement in key customer engagements.

Work directly with industrial customers to understand their automation needs, qualify technical feasibility of robotics solutions, and lead deal progression from initial discovery through handover. Combines technical problem-solving with sales execution, requiring you to be the technical expert in customer conversations rather than writing code.

A customer-facing consulting role focused on helping clients optimize their use of Microsoft Data and AI services. You'll provide technology strategy advice, identify business opportunities, and work with clients to maximize ROI on their cloud investments.

Solutions Engineers bridge customer needs with technical product capabilities, spending time on customer consulting, technical demos, implementation guidance, and cross-functional collaboration rather than writing production code. This role leverages deep technical knowledge to solve business problems.

Act as a technical bridge between Grafana Labs and enterprise customers, designing observability solutions tailored to their infrastructure, conducting workshops, and guiding implementations while staying hands-on with architecture decisions.

Shape energy products and customer experiences by collaborating with engineering, marketing, operations, and data teams to define features and strategies. You'll work cross-functionally to drive product decisions that impact real user outcomes in the renewable energy space, without writing production code.

Work as a technical peer alongside sales staff to land and expand AI infrastructure accounts with enterprise customers, requiring deep technical understanding of GPU workloads and cloud infrastructure to build credibility and solve customer problems rather than close deals traditionally.

Design and implement semantic data architectures, knowledge graphs, and ontologies for enterprise clients. Balance strategic consulting with hands-on modeling and technical platform implementation, working across business and technical teams.

Work with Revenue teams to analyze business processes, improve performance through data-driven insights, and build efficient operational systems. Focus on cross-functional collaboration, process optimization, and supporting leadership decision-making rather than coding.

Analyze field data and system failures from deployed robots to identify root causes, develop diagnostic tools, and drive technical improvements across hardware and software systems. This is a bridge role between pure engineering and data-driven problem-solving.

Define and drive the evolution of collaborative tools (Microsoft 365 ecosystem and Koddex platform) across a global organization, acting as a bridge between business stakeholders, IT teams, and end users to maximize adoption and impact.

Work with enterprise customers to design and implement observability solutions using Grafana products, translating technical requirements into architecture strategies and serving as a bridge between sales, product, and customer engineering teams.

Own the complete customer lifecycle post-sale by translating customer needs and pain points into product decisions and commercial strategies. Bridge the gap between what customers need, what the product can deliver, and what it costs to build—sitting at the intersection of customer success, product strategy, and revenue.

Own the complete customer lifecycle post-sale by bridging customer needs with product capabilities, making commercialal and product decisions. Build out the customer experience function from scratch as the first hire in this role.

Design and pitch complex networking solutions to enterprise customers, acting as the technical bridge between sales and engineering teams while mentoring junior engineers and managing strategic accounts across the UK and Ireland.