Solutions Architecture

Design and implement technical integrations between Flip's AI platform and enterprise customer systems (identity, HR, security), guiding customers through complex deployments while occasionally building initial solutions to hand off to their teams.

Work at the intersection of product and customer environments, designing and implementing integrations between Flip's AI platform and enterprise systems (identity, HR, security). You architect solutions, enable customer IT teams to self-serve implementations, and troubleshoot complex enterprise deployment challenges.

You work embedded with enterprise customers to design and implement technical integrations between Flip's platform and their complex legacy IT systems, acting as a bridge between product and customer infrastructure. Day-to-day involves understanding customer requirements, architecting solutions, sometimes building integrations yourself, and enabling customer teams to implement the technical side.

Work at the intersection of product and customer, designing and implementing integrations between Flip's platform and enterprise IT systems (identity, HR, security, AI). You'll act as both technical advisor and hands-on builder, translating customer needs into architecture decisions and sometimes building initial implementations.

Design, deploy, and maintain ArcGIS Enterprise systems for utility companies, advising clients on infrastructure choices and managing ongoing operations. This involves system architecture, client consultation, and hands-on configuration rather than software development.

A Solutions Engineer bridges technical product capabilities with customer needs, translating manufacturing business problems into Tulip software implementations and providing technical guidance during sales and onboarding cycles.

Design and build automated workflows connecting business tools (CRM, marketing, communication platforms) using no-code/low-code platforms like Make, identifying optimization opportunities and ensuring team maintainability rather than writing code.

Lead technical customer onboarding, adoption, and optimization of Veeam's data resilience platform; conduct disaster recovery assessments, simulations, and quarterly reporting while identifying upsell and churn-risk opportunities.

Lead a team of thermal engineers in demonstrating and implementing physics simulation AI software to enterprise customers, acting as a technical advisor who bridges customer needs with platform capabilities rather than writing code.

Embed with high-value enterprise customers to design and deploy AI solutions end-to-end, working across discovery, architecture, implementation, and adoption—bridging customer needs with product development while owning business outcomes rather than just code delivery.

Design and deploy search and AI solutions for enterprise clients, translating business requirements into technical architectures using Elastic's platform. Focus on solution design, client consulting, and guiding implementation rather than hands-on coding.

Work with enterprise marketing and data teams to design, demo, and implement Customer Lake (a CDP platform) solutions, positioning the technology to solve business problems and guiding customers through POCs and implementations.

Work with enterprise customers to design and implement IoT fleet management solutions using Geotab's platform, translating business requirements into technical architectures and serving as the technical bridge between sales and implementation teams.

Work with clients in the insolvency industry to design and implement customized technical solutions, combining hands-on development (C#/.NET, integrations) with consulting and requirements gathering. You'll be a bridge between client needs and technical implementation rather than building standard products.

Work with enterprise customers to architect and optimize their use of Amplitude's analytics platform, translating customer needs into technical solutions and driving product adoption through strategic guidance and best practices.

You'll work directly with enterprise customers to design, build, and deploy AI agents from pilot through production, acting as a bridge between product strategy, technical implementation, and customer needs. Day-to-day involves understanding customer problems, configuring/customizing agents, and ensuring successful deployments at scale.

You'll work with customers to design, build, and deploy AI agents from pilot through production, bridging technical implementation with business outcomes. This involves hands-on agent development, customer collaboration, and strategic decision-making rather than pure coding.

Work at the intersection of product, technology, and customer success to design and deploy AI agents for enterprise clients, translating technical capabilities into business solutions while maintaining hands-on involvement with the platform and customer outcomes.

Senior Solutions Engineer role focused on designing and implementing cybersecurity solutions for enterprise clients in the DACH region, requiring technical expertise but emphasizing customer engagement, problem-solving, and architectural thinking over coding.

Work with enterprise clients in the DACH region to design, implement, and optimize cybersecurity solutions using SentinelOne's AI platform. This role bridges technical expertise with customer success, involving solution design, technical presentations, and ongoing customer advisory work rather than coding.