Top Remote Sales Engineer Jobs

The Corporate Sales Engineer supports pre-sales activities for CrowdStrike’s endpoint security platform. Responsibilities include partnering with Account Executives, demonstrating solutions, conducting proof-of-value engagements, explaining security concepts to technical and executive audiences, and serving as a technical bridge between prospects and internal teams. The role requires knowledge of endpoint security, operating systems, cloud platforms, Active Directory, malware analysis, scripting, virtualization, and customer-facing presentations. It is fully remote for U.S.-based employees with minimal travel.

Create technical product presentations, gather customer requirements, lead product evaluations and configurations, and design test plans to guide customers toward successful solutions. The role requires cybersecurity and networking expertise, including TCP/IP, DNS, routing, VPNs, and firewalls, along with familiarity with AI tools and AI/ML solutions. This remote Sales Engineer position supports prospective customers and collaborates with sales and technical teams.

Lead technical sales for Deepgram’s Voice Agent platform, owning discovery, architecture, proofs of concept, technical evaluations, and customer production launches. Partner with account executives on enterprise deals, carry a growth quota, build demos and integrations, develop sales enablement, provide product feedback, and collaborate with telephony, contact center, and LLM partners. The role requires deep voice-agent expertise across telephony, orchestration, streaming pipelines, and speech and language models.

Serve as the technical authority throughout enterprise software sales cycles. Lead discovery, solution design, tailored demonstrations, and proofs of concept for AI, automation, content management, and workflow solutions. Build integrations using APIs and scripting, advise on responsible AI adoption, address technical objections, document requirements, and support sales expansion. Collaborate with Sales, Services, Product, and Engineering while tracking pipeline influence, POC outcomes, and demo effectiveness.

Provides technical leadership throughout pre-sales and implementation, partnering with sales and account management teams to understand client needs, demonstrate payment solutions, scope implementations, answer technical RFP questions, and communicate product gaps. Develops technical presentations and demos, collaborates with Product, Marketing, Solution Engineering, and Implementations, and serves as a technical subject matter expert for REPAY’s payment platform.

Provides technical leadership throughout the pre-sales and implementation lifecycle. Partners with sales and account management teams, delivers product demonstrations and technical presentations, scopes solutions, answers RFP questions, documents product gaps, and supports implementation handoffs. The role requires strong technical communication, customer consultation, analytical problem-solving, API knowledge, and experience using workflow, ticketing, and CRM tools such as JIRA and Salesforce.

Serve as a technical presales expert for Samsara’s IoT platform, supporting enterprise customers through discovery, demonstrations, value assessments, proofs of concept, integrations, and deployment planning. Explain complex solutions to business audiences, guide installers, develop API scripts, identify customer value, support strategic sales cycles, and relay customer feedback to product teams. The remote Southeast-based role requires travel up to 50%.

Supports Account Executives by leading consultative discovery, delivering tailored technical demonstrations, explaining API integrations and security concepts, and recommending customer-focused SaaS solutions. Collaborates with Product, Customer Success, and Professional Services teams, identifies technical blockers, incorporates customer feedback, and uses data and emerging technologies to improve sales effectiveness. The role requires strong communication, teamwork, curiosity, and comfort engaging both HR and IT stakeholders.

The Enterprise Sales Engineer advises data teams and executives, owns technical sales cycles, leads discovery, demos, proofs of concept, deployments, and technical reviews. They partner with Account Executives on deal strategy, communicate prospect feedback to Product and Engineering, create evaluation content, and support customer relationships through onsite visits and events. The role requires enterprise pre-sales experience, technical fluency in data science workflows, and strong customer communication skills.

Provides technical consulting and sales support for organizations evaluating the JumpCloud platform. Responsibilities include tailored demonstrations, needs discovery, trial setup and configuration, technical Q&A, implementation guidance, evaluation frameworks, partner enablement, co-selling, and identifying opportunities for product improvements. The role requires strong communication skills, cloud and SaaS knowledge, identity and directory expertise, scripting, API integration, and fluency in Spanish and English.

Provides technical product expertise and presentations to prospective customers, helping improve their security posture and positioning Huntress solutions. Partners with Sales, Marketing, Support, and Engineering to identify customer needs and product improvements. Reviews security issues with technical teams, supports MSP and VAR customers, and travels approximately 25% to meet customers.

Partners with account executives to shape technical sales strategies, lead customer discovery, deliver product demonstrations, and manage proof-of-value evaluations. Translates customer goals into Datadog solutions, develops technical champions, supports consensus-building, and communicates feedback to product and engineering teams. Maintains accurate opportunity records and collaborates with Product, Support, and go-to-market teams to resolve technical blockers and drive adoption.

Leads technical pre-sales engineering for service provider networking opportunities. Advises customers and account teams on routing, automation, security, data center, and WAN solutions; designs architectures; delivers technical presentations and demonstrations; supports proofs of concept and RFP responses; and builds executive and engineering stakeholder relationships. The role also represents the company at industry events and requires extensive expertise in service provider networking technologies, automation, and network management.

Oversee the technical sales process for major enterprise accounts, architecting solutions that address customer security challenges. Lead Proof of Value engagements from start to finish, provide technical and industry expertise, and collaborate with internal teams. Advise customers on AI-driven solutions, agentic AI workflows, and non-deterministic outputs while leveraging network security knowledge and enterprise sales engineering experience.

Analyze industrial clients’ technical needs, interpret 3D plans, recommend robotic equipment, and prepare commercial proposals. Demonstrate robots at customer sites and trade shows, travel throughout Canada and the United States, support deliveries, train operators, manage after-sales follow-up, and maintain the sales pipeline in HubSpot CRM. The role requires bilingual French and English communication, technical sales experience, and unrestricted U.S. travel eligibility.

Serve as the technical authority for strategic enterprise sales, combining pre-sales engineering and solutions architecture. Lead requirements workshops, design integrations and content workflows, create technical blueprints, build proofs of concept, deliver product demonstrations, and explain complex architectures to business stakeholders. Collaborate with Sales, Delivery, Product, and Engineering to validate solutions, automate quality processes, and ensure successful implementation. The role focuses on CMS, DMS, TMS, APIs, content intelligence, machine translation, LLMs, and human review workflows.

Own end-to-end technical pre-sales for strategic enterprise accounts, including discovery, solution design, demonstrations, architecture and security reviews, technical proposals, and executive stakeholder engagement. Mentor Sales Engineers, establish strategic deal playbooks, support customer launches and expansion, and share account insights with Product leadership. The role requires experience selling complex AI or technical products, leading $1M+ deals, and partnering with enterprise architects, engineering, and security teams.

Own strategic enterprise technical sales for financial services accounts, from discovery and solution design through demos, architecture and security reviews, deal closure, launch, and expansion. Build trusted executive relationships, lead $1M+ sales processes, coordinate internal teams, mentor sales engineers, create strategic deal playbooks, and inform product roadmaps. Apply AI tools to prepare discoveries, prototypes, demos, and proposals while ensuring customer-facing accuracy.

Own the technical pre-sales process for enterprise customers, from discovery and solution design through demos, architecture reviews, proposals, and deal close. Build tailored AI agent prototypes, explain business and technical value, collaborate with CX, IT, security, procurement, and executives, and support account expansion after the sale. Mentor sales engineers, create reusable assets, and use AI tools to improve technical sales workflows.

Partners with enterprise sales teams to win and expand financial services customers. Leads the technical pre-sales cycle, including discovery, solution scoping, business-value articulation, platform design, demonstrations, architecture reviews, prototypes, and technical proposals. Collaborates with Sales, Product, and Agent Engineering to improve customer solutions and scale successful industry motions.

Serve as the technical partner to enterprise sales teams, leading discovery, solution design, demonstrations, architecture reviews, prototypes, and technical proposals. Build tailored AI agent solutions, explain business value to technical and non-technical stakeholders, manage multiple concurrent deals, and collaborate with Sales, Product, and Agent Engineering to improve Sierra’s platform and go-to-market strategy.

Own the end-to-end technical presales process for enterprise customers, from discovery and solution design through tailored AI agent demos, architecture reviews, proposals, and deal close. Partner with sales, customer technical teams, executives, procurement, and security stakeholders. Support launches, expansions, and account growth after the sale, while mentoring newer sales engineers and developing reusable industry assets.

Own the end-to-end technical pre-sales process for strategic enterprise accounts, including discovery, solution design, demos, architecture and security reviews, technical proposals, and customer presentations. Build executive and technical relationships, support launches and account expansion, mentor sales engineers, develop strategic-deal playbooks, coordinate internal teams, and communicate customer insights to Product leadership. The role requires selling complex AI products to customers with $1M+ deal sizes.

Own the technical pre-sales process for enterprise public-sector customers, partnering with sales teams to discover use cases, design and demo AI agent solutions, lead architecture reviews, and articulate business value. Build working prototypes, engage technical and executive stakeholders, support launches and account expansion, mentor sales engineers, and create reusable industry assets. The role requires strong enterprise sales engineering experience, relationship-building, technical communication, and effective use of AI tools.

Partner with sales teams to win and expand enterprise customers by owning technical sales activities. Assess prospect requirements, conduct product demonstrations and proofs of concept, respond to RFPs and RFIs, deliver technical presentations, and communicate Chainguard’s cloud and application security value. Build relationships with decision-makers, manage stakeholder needs, support feature requests with engineering, and participate in webinars, conferences, and other marketing initiatives.