Top Sales Engineer Jobs in Ann Arbor, MI

The Sales Engineer will support Account Executives by aligning Superhuman's solutions with educational institutions’ needs, delivering demos, conducting POCs, and engaging with technical stakeholders.

Act as the technical lead for field sales, manage evaluations, deliver on-site and remote demos, prepare SOWs/RFIs/RFPs, respond to security questionnaires, train sales teams, and support sales across U.S. and Canada while maintaining client relationships and achieving technical sales targets.

Partner with Account Executives to handle the technical side of sales: deliver personalized demos, answer technical questions, manage PoCs, build relationships with product and engineering teams, and optionally create documentation or integration prototypes.

The Sales Engineer will liaise with customers, provide technical support in pre-sales, lead product demonstrations, and communicate feedback to internal teams. They will also assist with customer integrations and drive post-sales success.

Support sales by leading technical discovery, designing solutions across managed IT, cybersecurity, cloud, AI, and professional services, producing SOWs/BOMs, delivering presentations/demos, responding to RFPs, and ensuring clean handoffs to delivery teams.

Lead technical strategy for complex enterprise sales in financial services: design solution architecture, integrations, demos, POCs and RFP responses; influence executives, mentor peers, and inform product direction while managing up to 50% travel.

Serve as the technical bridge between Sales and Product/Engineering to evaluate HONK's platform, lead discovery and demos, design enterprise solutions, manage integrations and security reviews, support RFPs and documentation, and ensure smooth handoffs to onboarding and operations.

Lead technical discovery calls, execute POC engagements, deliver product demonstrations, build customer relationships, and gather market feedback to inform strategy.

Build relationships with prospective customers as a Sales Engineer for Island’s enterprise browser and security platform. Lead discovery sessions, product demonstrations, proof-of-concepts, and technical objection handling. Translate complex cybersecurity, networking, and enterprise software capabilities into clear customer value while partnering with sales teams as a technical strategist, trusted advisor, and product champion. This is an open pipeline opportunity for future U.S.-based sales engineering roles.

Drives technical engagement and enablement across partner channels for a cybersecurity and enterprise networking platform. Supports Channel Account Managers, trains partner sales engineers, delivers demos and technical sessions, leads roadshows, develops partner relationships, researches competitors, supports joint solutions, tracks deal metrics, and contributes technical credibility throughout partner sales cycles. The role requires collaboration with sales, marketing, product, vendors, and partners, with travel up to 50%.

Partner with Sales through discovery and demos, design technical integrations (APIs, webhooks, SFTP, Zapier), scope requirements, build demos and enablement content, manage handoffs to Onboarding, and improve sales-to-implementation processes.

The role involves partnering with Account Executives to demonstrate technical and business value of the NodeZero platform, conducting customer engagements, and ensuring continued value realization throughout the customer lifecycle.

The Sales Engineer will assist customers in technical discovery, lead product demos, guide sales cycles, and collaborate with account executives to close deals.

Drive technical validation and demos for enterprise logistics customers by building quick integrations/prototypes, mapping data flows across TMS/WMS/CRM, partnering with Sales on proofs of concept, and feeding product insights back to engineering. Enable GTM with demo templates and briefings while shaping the Sales Engineering playbook for AI-driven automation and agent workflows.

Work with sales and engineering to own the technical pre-sales process: gather requirements, design AI agent integrations, write and review APIs, run hands-on trials using prospect call data, iterate prompts and conversational designs, analyze conversational insights, and present technical findings to business and technical stakeholders.

Work with Account Executives to own the technical sales cycle: run demos, validate solutions, and advise engineering stakeholders integrating cloud infrastructure (AWS, Azure, GCP, Snowflake, Kubernetes, MongoDB, etc.) into Vantage. Translate customer feedback into product insights and coordinate escalations across engineering, product, and customer success.

The Sales Engineer will provide technical pre-sales support, train partners on the Cynet platform, manage PoCs, and bridge communication between technical and business stakeholders.

As a Sales Engineer, you will provide technical support during the sales process, train partners, manage PoCs, and act as a technical advisor.

Serve as the primary technical advisor in enterprise sales cycles, leading discovery, architecture discussions, product demonstrations, competitive research, and Proof of Value programs. Translate security technology into measurable business outcomes, address email and identity security challenges, educate sales teams and partners, and guide enterprise stakeholders toward successful outcomes. The role requires expertise in SaaS security, networking, email infrastructure, identity services, modern threats, and customer-facing technical communication.

Serve as a technical advisor throughout the customer lifecycle, partnering with Sales, Customer Success, Product, and Engineering. Lead discovery calls, prepare demos, execute proof-of-concepts, support API integrations, troubleshoot technical issues, and create implementation content. Help ecommerce and Shopify brands expand SMS and email strategies, communicate customer needs to Product, collaborate with integration partners, and develop solutions engineering processes.

Supports Account Executives and Account Managers by positioning Wavelytics, an AI-powered analytics solution, throughout the sales cycle. Explains technical capabilities, competitive advantages, AI best practices, data protection, and security considerations to prospects and customers. Collaborates with product, engineering, and sales teams on messaging and playbooks, develops customer relationships, and supports or leads sales pursuits, testimonials, and case studies.

Serves as a technical advisor for mid-market customers throughout complex sales cycles. Leads discovery, technical qualification, demonstrations, solution design, and stakeholder alignment. Translates technical concepts into business value, recommends solutions, coaches Account Executives, educates customers, and collaborates with Product, Marketing, Enablement, and Support. Mentors teammates and manages multiple opportunities independently. Travel up to 25% is required.

Serve as the primary technical advisor in mid-market and enterprise sales cycles. Lead discovery, architecture discussions, product demonstrations, competitive research, and Proof of Value programs. Translate security technology into measurable business outcomes, address technical objections, educate stakeholders and partners, and support AI security solutions across email and identity. The role requires expertise in SaaS security, email infrastructure, networking, identity, threat detection, and customer-facing technical communication.

Lead technical sales engagements for networking and security solutions from discovery through close and operational handoff. Conduct customer discovery, design solutions, produce BOMs, proposals, RFP responses, demos, and technical presentations. Coordinate manufacturers, distributors, and internal teams to validate and implement scalable, secure solutions while maintaining CRM data and improving sales engineering processes.

Partner with Sales and Product teams to design and demo NX1 data platform solutions, lead POCs and onboarding, define architecture and product roadmap, and provide technical guidance and best practices for enterprise data and AI/ML workloads.