Top Remote Solutions Engineer Jobs

Own technical sales wins by leading discovery, evaluations, architecture reviews, proofs of concept, demos, and competitive assessments. Co-architect and build production AI agents with customers, support deployments, provide post-sale technical guidance, and identify expansion opportunities. The role also includes customer training, reusable technical content, upstream contributions, and sharing field feedback with product teams.

Serves as a client-facing technical advisor during enterprise payment sales cycles. Designs payment solutions, leads technical discovery, delivers demonstrations, supports RFPs and RFIs, prepares integration documentation, manages proof-of-concepts, and guides clients through sandbox testing and integration planning. Partners with sales, product, engineering, legal, compliance, customer success, and integration teams while translating customer needs into technical requirements and product feedback.

Supports sales and account management teams by positioning healthcare technology solutions, conducting prospect discovery and vetting, answering technical integration questions, leading RFP/RFI responses, representing the company at industry events, and advising customers on network requirements, standards, use cases, and implementation effort. The role also communicates market insights and future product needs to product innovation teams.

Develop and support geospatial ArcGIS solutions for defense agencies by discovering customer needs, configuring applications and information models, contributing to product design, documenting workflows, and collaborating across teams. Design and execute manual and automated tests for functionality, performance, scalability, and durability; assess product quality and release readiness; maintain solutions; and present them to internal and external audiences.

Designs and scales internal AI solutions that improve software engineering productivity. Builds agentic workflows, RAG applications, developer tools, reusable SDKs, reference implementations, and AI enablement assets. Partners with engineering teams to productionize AI use cases, establish evaluation and responsible-use practices, and optimize reliability, performance, and cost. Provides technical guidance, documentation, workshops, and adoption support across the organization.

The Enterprise Solutions Engineer will partner with account executives to support technical strategies, deliver presentations, advise enterprise customers on AI-driven solutions, and ensure client satisfaction through ongoing relationship management.

Partner with prospective and existing customers to lead technical discovery, design integrations and proofs of concept, run tailored demos, troubleshoot implementation issues, and translate customer feedback into product requirements while collaborating closely with sales, product, engineering, and customer success.

Drive pre-sales technical engagements to exceed sales targets: present Netskope solutions, lead demos and POCs, gather requirements, manage evaluations, resolve customer issues, feed product feedback, and represent the company at trade shows and conferences. Heavy regional travel required.

The Partner Solutions Engineer will manage technical relationships with integration partners, guide implementations, troubleshoot issues, and drive product improvements based on partner feedback. Responsibilities also include data analysis and building internal tools to enhance integration processes.

The Partner Solutions Engineer builds relationships with partner SEs and technical leaders, supports partner sales with technical needs, and drives partner-informed product enhancements through collaboration with key ISVs.

Lead technical discovery and solution design for enterprise MedTech customers, translate claims data into commercial insights, deliver data via secure sharing/APIs/warehouses, own RFPs and security reviews (SOC2/HIPAA/BAA), enable demo environments and AI narratives, and institutionalize best practices across Sales, Product, Data, and Engineering.

Customer-facing cloud security presales engineer who consults with executives and security teams, develops security services and lab-based use cases, educates sales, creates collateral, and stays current on security technologies and frameworks to support sales engagements.

Customer-facing pre-sales cybersecurity engineer who performs technical discovery, assesses email security architectures, designs and presents email security solutions (SEG, API-based protections, DLP, ATP), runs demos and PoCs, collaborates with vendors, enables sales teams, and ensures smooth handoff to delivery.

Own technical onboarding, content ingestion, widget configuration, and post-launch partner support. Triage and reproduce issues, optimize AI answer relevance via prompt/config tuning, maintain onboarding/docs and SLAs, and collaborate with Engineering, Product, and Partnerships to scale partner implementations and reduce recurring support work.

Provide engineering-first customer support for security, privacy, and assurance tooling. Triage and resolve authentication and access issues, build automation and runbooks, maintain support tooling, and improve developer experience. Use Generative AI responsibly to accelerate triage, documentation, and automation while advocating for customers and collaborating with product and engineering partners.

Serve as a technical partner-facing presales lead: build trusted partner relationships, enable partners to resell and service Akamai security products, support channel sales to grow revenue, customize sales plays and use cases, represent partner needs to product/marketing/services, and present technical solutions to diverse audiences.

Lead design and delivery of large-scale open-source AI solutions: translate business needs into architectures, advise on ML frameworks and MLOps, support pre-sales, engage clients and open-source communities, mitigate technical risks, and guide development teams to production.

Lead technical engagements to drive adoption of identity and access solutions: advise customers, architect IGA/IAM/CIEM/PAM implementations, run workshops and demos, design cloud integrations (AWS/GCP/Azure), build and troubleshoot integrations using APIs/SDKs and Terraform, and evangelize identity security best practices.

Lead technical engagement on enterprise and strategic legal deals: conduct consultative discovery, design and deliver tailored product demos, translate between legal and technical audiences, influence deal strategy, build demo environments, and partner cross-functionally with sales, product, and marketing. Frequent onsite travel and executive-level presentation skills required.

Lead technical pre-sales for occupancy-based demand control ventilation: run discovery calls, qualify and scope buildings from drawings and BMS data, deliver demos and ROI narratives, own pre-sales handoff and support implementations, and improve Solutions tooling and collateral.

Lead data migration efforts for new clients, develop tools for legacy data migration, ensure reliable data processing, and work collaboratively on product features.

Serve as a technical advisor in enterprise pre-sales: drive discovery, design architectures, lead PoCs, deliver tailored demos/workshops, liaise with product/engineering, mentor SEs, and support RFPs while traveling as needed to win and expand customers.

Technical lead for Cribl's Federal Systems Integrator partners: drive partner enablement, build reference architectures and enablement content, support capture and post-award delivery, deliver executive briefings, and provide hands-on architecture and deployment guidance to position Cribl in large federal programs.

Support sales by running demos, free trials and POCs; scope complex compliance solutions; provide compliance expertise (SOC2+); train and enable teams; gather product feedback; drive scalable pre-sales processes and represent product at industry events.

Partner with sales and product teams to drive pre-sales activities for conversational AI solutions: run demos, lead discovery sessions, design technical solutions, scope and manage POCs, develop SOWs, and liaise between customers and internal delivery teams to ensure successful implementations.