Top Senior Sales Engineer Jobs in NYC, NY

Lead technical pre-sales activities for an AI-powered task mining platform: run demos, design and manage POCs, act as customer advocate to product and engineering, produce documentation and educational content, support BDRs, and drive account growth through trusted advisory and upsells.

As a Senior Sales Engineer at H2O.ai, you'll leverage your expertise in Machine Learning and Generative AI to assist enterprise customers with AI solutions, collaborating across teams to deliver impactful presentations, design architectures, and guide customers through their AI journey.

The Sales Engineer collaborates with customers to demonstrate WEKA's solutions, assists in technical evaluations, and maintains customer relationships while providing feedback to R&D and product management.

Own technical pre-sales for complex hospitality integrations: lead discovery, design solution architectures, build demos/POCs, produce ROI/business cases, respond to RFPs, and scope pre-sales effort to enable smooth handoffs to implementation.

Partner with VARs to architect and scale Cribl telemetry solutions across enterprise accounts. Design and deliver technical enablement, workshops, and certifications; mentor partner SEs through sales cycles and POVs; help partners build Cribl-powered services and align internal sales and partner engineering to accelerate partner-led revenue.

The Sales Engineer will support US Government Agencies by showcasing hybrid cloud monitoring solutions, handling customer engagements, and demonstrating technical product capabilities during the sales process.

Provide technical pre-sales support and demos, lead proofs-of-value, respond to RFPs, support tradeshows, translate technical features into business value, and engage customers onsite during critical sales phases.

Provide technical pre-sales support and solution design for commercial telecom clients: conduct discovery, architect internet/networking solutions (DIA, fiber, wireless, SD‑WAN), lead demos/POCs, produce BOMs/SOWs, train sales, and ensure smooth handoff to implementation teams.

Drive business growth by serving as a trusted advisor to enterprise brands, providing technical guidance and strategic insights for AI-driven marketing solutions.

Lead technical pre-sales for strategic enterprise deals: run discovery, design and execute hands-on POCs, address data architecture and privacy concerns, present ROI to executives, and enable internal teams while mentoring junior SEs and contributing competitive insights and reusable demo assets.

The Senior Enterprise Solutions Engineer will lead technical sales, designing solutions, and building relationships with stakeholders while navigating complex buying committees.

Partner with Account Executives to deliver technical sales presentations, run proofs-of-value, respond to RFPs, and demonstrate ScienceLogic's hybrid cloud/network monitoring solutions. Engage customers across technical and business audiences, support tradeshows, articulate ITOM/APM/ITSM value, and travel to customer sites as needed.

The Sales Engineer will provide technical expertise, product demonstrations, and solutions for enterprise customers in analytics, AI, and data automation. This role requires a strong understanding of cloud data integration and collaboration with sales teams to drive success.

Lead pre-sales technical engagement and solution design for automotive and vehicle marketplace clients. Own demos, POCs, integrations, and stakeholder collaboration to shorten sales cycles, increase win rates, and influence product roadmap. Standardize playbooks and tooling, present to executives, and drive revenue impact through scalable technical strategies and team leadership.

The Sales Engineer will support the sales team by providing technical expertise, conducting product demonstrations, engaging with customers, and ensuring successful deployments of cybersecurity solutions.

The Staff Sales Engineer provides technical consulting and solutions design for clients, engages in project management, and acts as a liaison between customers and the organization, ensuring solutions align with requirements and compliance.

The Regional Sales Engineer engages customers to drive product adoption, presents technical aspects of products, and builds relationships while meeting sales goals. Travel up to 50% is expected.

Provide technical presales support: perform discovery, deliver custom demos, workshops, POCs and pilots, build solutions on Databricks/Snowflake/cloud, advise on cloud modernization and AI initiatives, and represent Precisely at events (travel ~30%).

Lead technical discovery, demos, and Proofs of Value with prospects; partner with sales through deal close; enable customers for adoption; represent the product at events; collect field feedback to influence product roadmap and ensure long-term customer success.

The Sr. Sales Engineer designs demo environments and leads technical strategies, partnering with sales teams to address complex client requirements through innovative solutions.

The Sales Engineer engages clients for technical alignment, manages pre/post sales technical issues, documents requirements, and develops training and collateral to facilitate customer success.

As an Enterprise Solution Engineer, you'll support pre-sales activities, guide customers through solutions, and drive sales initiatives, collaborating with teams to ensure successful deployments and feedback integration.

The Sales Engineer will partner with the sales team to understand customer needs, demonstrate platform value, and ensure successful deployments while providing technical expertise and support.

Lead and scale a US-based Solutions Engineering team, provide hands-on pre-sales technical support for enterprise deals, align SE strategy with Sales and Product, develop processes and enablement, and act as a cross-functional bridge to drive product adoption and revenue growth.

Lead technical presales engagements to assess customer challenges, architect AI-driven CX/ES solutions, design pilots and proofs of value, integrate systems via APIs and cloud platforms, measure AI performance and ROI, and collaborate cross-functionally to drive adoption and influence product roadmap.