Top Remote Solutions Engineer Jobs

Develops and demonstrates science-based AI solutions for prospective customers across energy, chemistry, and manufacturing. Responsibilities include customer discovery, data cleaning and analysis, predictive modeling, technical demonstrations, SOW development, prototype creation, and translating model results into business value. The role collaborates with Sales, Product, AI, and Engineering teams, supports consultative selling, and travels to customer sites up to 30% of the time.

Own strategic relationships with enterprise customers, guide deployments and architecture, lead business reviews and technical workshops, drive measurable outcomes, support renewals and expansions, mitigate account risks, and advocate for customer needs with Product and Engineering. The role also includes troubleshooting Kubernetes-based solutions, executive engagement, cross-functional issue resolution, mentoring junior team members, and internal enablement.

Designs and delivers secure, scalable cloud solutions across AWS and Azure for application, data, scientific, and research workloads. Partners with customers to translate requirements into architectures, develops Terraform infrastructure and automation, integrates DevOps and CI/CD capabilities, and manages solutions through implementation and transition to operations. Responsibilities include cloud networking, identity, security, monitoring, backup and recovery, troubleshooting, documentation, technical reviews, and collaboration within an Agile Cloud DevOps team.

The Senior Solutions Engineer will provide technical expertise in pre-sales situations, conduct presentations, design customized solutions, and lead technical discussions to enhance the ServiceNow platform's value for customers.

As a Senior Solutions Engineer, you will engage in pre-sales conversations, design architecture, and deliver demos to help customers integrate LanceDB's AI solutions.

Drive pre-sales technical engagement for Alkira's SaaS networking platform: present demos, lead POCs, design and assist deployments, respond to RFPs, troubleshoot complex enterprise network issues, and feed customer-driven product requirements to Product Management.

Lead customer-facing technical engagements, including discovery, solution design, architecture reviews, proofs of concept, and live Databricks demonstrations. Build production-quality data solutions using Python, SQL, cloud platforms, distributed data systems, analytics, and machine learning technologies. Own technical customer relationships, develop account strategies with Account Executives, explain competitive differentiation, and contribute reusable notebooks, accelerators, and reference architectures.

Lead customer-facing technical engagements for Databricks, including discovery, solution design, proofs of concept, platform demonstrations, architecture reviews, and technical strategy. Build production-quality solutions using data engineering, analytics, and machine learning technologies. Partner with account executives to expand platform adoption, explain competitive differentiation, and create reusable technical assets such as notebooks and reference architectures.

Lead technical discovery, solution design, demonstrations, and proof-of-concepts for enterprise and federal cybersecurity customers. Advise stakeholders on Kubernetes, container, cloud-native, software supply chain, and compliance security. Partner with sales, engineering, and product teams throughout complex sales cycles, influence product direction, create technical enablement content, and mentor junior Solutions Engineers.

Supports and enhances software, data, reporting, integration, and internal systems. Responsibilities include troubleshooting applications and data pipelines, maintaining SQL and Power BI environments, writing code, debugging APIs, supporting deployments and incident response, documenting solutions, working helpdesk tickets, and applying approved AI tools securely. Collaborates with engineers, analysts, developers, and business stakeholders to resolve issues, automate work, improve systems, and reduce operational burden.

Lead pre-sales solution design and demonstrations for hospitality revenue management. Engage customers and executives, architect product solutions, support deal strategy, RFx/security responses, and partner with Sales, Product, Integrations, and Services to deliver measurable commercial value.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

The Pre-Sales Solutions Engineer will engage in technical pre-sales activities, integrating AI solutions with customer needs, and facilitating technical sales processes.

Leads Splunk/Cisco Partner Solutions Engineering across the Americas. Manages and develops Partner Solutions Engineers, advances partner certifications and maturity, drives Data Fabric and AI adoption, creates enablement roadmaps, training, playbooks, reference architectures, and joint solutions, and supports demonstrations, proofs of concept, RFPs, and technical escalations. Establishes operational governance, measures partner impact, collaborates with product and engineering teams, and strengthens partner-led revenue and customer outcomes.

Supports sales by designing and presenting F5 solutions, demonstrating products, developing proofs of concept, and translating technical capabilities into business value. Advises customers and partners, identifies technical decision-makers, validates opportunities, mentors sales teams, and collaborates with account managers and internal technical teams. The role requires expertise in application delivery, security, networking, cloud, web technologies, microservices, APIs, and DevOps, along with experience selling multi-product solutions to enterprise customers.

Build and operate production LLM applications, agentic workflows, RAG systems, classification pipelines, MCP servers, and AI tool integrations. Own solutions from architecture through deployment, evaluation, and monitoring in AWS and Databricks. Evaluate emerging AI technologies, lead pilots, and improve team capabilities through demos, working sessions, and pair programming. Apply strong Python engineering, testing, CI, and communication skills to commercial publishing data and operational problems.

Leads technical customer engagements for Databricks strategic accounts, including discovery, solution architecture, platform demonstrations, proofs of concept, and technical strategy. Builds production-quality data solutions across engineering, analytics, and machine learning; presents technical differentiation; develops reusable assets; and partners with Account Executives to expand platform adoption and consumption.

Conduct customer discovery, design and demonstrate tailored fintech solutions, and provide technical expertise throughout sales cycles. Support RFIs and RFPs, propose configurations and integrations, address objections, and explain complex technology to diverse audiences. Collaborate with sales, product, management, and customer success teams to achieve business goals, maintain technical expertise and certifications, and travel occasionally across the US and Canada.

Designs and implements tailored satellite and terrestrial communication solutions for enterprise customers. Responsibilities include customer discovery, site surveys, feasibility studies, system installation and testing, POC troubleshooting, documentation, technical training, dashboard and analytics support, and cross-functional project coordination. The role manages handoff from proof of concept to service delivery while advising customers on network best practices and ensuring successful deployment across complex connectivity environments.

Serve as the technical lead in the pre-sales process for aviation software prospects. Responsibilities include technical discovery, tailored product demonstrations, proof-of-concept ownership, RFP responses, API and integration discussions, demo environment maintenance, objection handling, and communicating customer feedback to Product and Engineering. The role also develops technical collateral, supports sales enablement, and helps onboard Sales Executives.

Own technical customer engagements for Grafana Cloud, partnering with Sales to qualify and close opportunities. Deliver product demonstrations, technical presentations, evaluations, and enablement while communicating customer feedback to Product and Engineering. Create documentation, blog posts, videos, and knowledge-base content. The role requires strong technical pre-sales expertise, customer communication, collaboration, judgment, and the ability to solve observability and open-source technology challenges in a remote global environment.

Partner with account executives in enterprise pre-sales by addressing technical requirements, delivering customized demonstrations, building UAT environments, managing proof-of-concept exercises, conducting architecture and security reviews, and scoping solutions for implementation handoff. The role requires collaborating across sales, product, engineering, and professional services while supporting fintech and banking customers with identity, fraud, credit, and compliance solutions.

Build and lead Hex’s technical partner enablement function for SI and consulting partners. Responsibilities include creating certification curricula, workshops, sandbox environments, demo libraries, technical collateral, onboarding programs, trainings, architecture reviews, proof-of-value support, and technical objection handling. The role also channels partner feedback to Product and Engineering, tracks enablement metrics, and supports partner-led pipeline. Travel of approximately 25–30% is required.

The Solutions Engineer supports enterprise sales by demonstrating Cribl, answering technical questions, helping customers during proof-of-concept sessions, and identifying telemetry, IT operations, and security use cases. The role requires customer-facing technical storytelling, collaboration with sales and support teams, documentation of use cases, and up to 30% travel. The position is remote-first but may require occasional work outside standard hours across time zones.

Founding Solutions Engineer responsible for owning the full sales cycle, conducting product demos and technical deep-dives, explaining AI-native compliance, supporting pilot implementations, translating customer feedback into product requirements, and building the company’s sales motion from scratch.