The Forward Deployment Engineer is responsible for partnering with business and technology stakeholders to design, develop, and deploy technology solutions that address complex business challenges, combining software engineering expertise with a consultative, problem-solving approach.
Responsibilities
Partner directly with business stakeholders and end users to understand operational challenges, assess existing workflows, define technical requirements, and identify opportunities for technology-enabled improvements.
Take end-to-end technical ownership of solutions, from discovery, solution design, and prototyping through development, testing, deployment, and post-implementation optimization.
Design, develop, test, and deploy production-grade applications, APIs, integrations, automation workflows, and custom software solutions using modern programming languages, frameworks, and engineering practices.
Rapidly build proofs of concept, prototypes, and minimum viable products to validate technical approaches, gather user feedback, and determine feasibility before scaling solutions for production.
Design and implement integrations across enterprise applications, cloud platforms, data sources, and third-party systems, ensuring reliable data exchange and interoperability.
Marketing Solution Engineer Specialist at Salesforce, responsible for designing and demonstrating unified data strategies using Data360 and related marketing technologies to enable hyper-personalized customer experiences.
Responsibilities
Take on complex business challenges, using research and business assessment to define problems, generate ideas, identify opportunities, and recommend actionable next steps.
Collaborate with business stakeholders and technical teams to develop comprehensive solutions and customer roadmaps for Agentforce Marketing and Data 360.
Showcase Agentforce Marketing and Data360 through compelling software demonstrations and rapid prototyping, and deliver executive-level presentations that bring connected, data-driven customer experiences to life.
Construct future-state customer journey strategies and long-term technology roadmaps, partnering with the customer, Account Executive, and Partners on discovery, analysis, and data-activation recommendations, including how emerging capabilities from Contentful and Qualified extend the Agentforce Marketing stack.
Requirements
Master of Science in Computer Science or equivalent
Nice to have: Knowledge of programming languages
Nice to have: At least two years of hands-on experience with Agentforce marketing solutions
Lead GPU business development across China, driving new opportunities and building relationships with GPU cloud providers, computing centres, and enterprise AI users.
Responsibilities
Own the GPU and AI infrastructure business development pipeline for China, from first conversation through to close, working alongside the China sales team
Target and win GPU cloud providers, intelligent computing centres, AI model builders, internet companies and large enterprises deploying AI at scale
Build strong relationships with the GPU and accelerator ecosystem, including server OEMs, system integrators and infrastructure partners, to drive joint opportunities
Position VAST at the heart of new AI cluster designs early, before storage and data decisions are locked in
Work closely with pre-sales and solution engineering to shape architectures, run proofs of concept and land reference wins
Enable Google-caliber client service across a dynamic product and tech stack in the GP Sellside business, identifying scalable growth vectors and building the rails to bring them to market.
Own the business opportunity lifecycle across global publisher products, identifying scalable growth vectors based on commercial roadmaps, business needs, and deep partner data analysis.
Develop, model, and maintain robust datasets within Salesforce and core reporting systems to enable accurate tracking, measurement, and activation across sales teams.
Perform operational process design and requirements definition in conjunction with functional teams
Educate, teach, and provide training and/or resources to maintain the required level of department expertise for business systems and processes such as DFMA, ERP, and flow-line assembly
Divisional support resource for manufacturing processes, operational and material flow, assembly station development
Develop and implement the proper KPI’s and tools to monitor operational efficiencies and machine cost reduction
Provide corrective actions and/or process change steps for divisions to resolve recurring problems
Support the enterprise AI transformation by integrating opportunity intelligence into novel surfaces, including Gemini Enterprise and native interfaces like Ask Ad Manager.
Maintain stringent opportunity quality frameworks, monitoring operational metrics, publisher performance trends, and pipeline health to maximize conversion business impact.
Partner with Sales, Product Management, Engineering, and specialist teams to deploy programmatic solutions, streamline technical collateral, and scale self-serve publisher growth globally.
Requirements
Bachelor’s degree in Engineering
Computer Science
Nice to have: digital advertising space
Nice to have: publisher or developer-facing B2B products
Nice to have: technical and business team collaboration
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