Top Sales Engineer Jobs in Tulsa, OK

Provides advanced pre-sales technical expertise for optical solutions, partnering with sales teams and customers to identify opportunities, understand business needs, present and demonstrate solutions, and support consultative selling. Develops innovative processes, standards, strategies, and customized offerings. Influences strategic decisions, resolves complex problems, serves as a senior subject-matter expert, and may lead teams or high-complexity projects while managing resources and customer relationships.

Supports Commercial Account Executives as a permitting subject-matter expert and solutions partner. Maps customer workflows, designs platform configurations, manages pilots and complex programs, coordinates billing and accounting, produces KPI reporting, enables customers and third parties, and creates scalable training and solution assets. The role collaborates across Sales, Product, Implementation, Operations, and Customer Success to ensure successful deployments and expansion.

Partners with sales teams, customers, specialists, and channel partners to design and present cyber resilience, disaster recovery, storage, and cloud solutions. Leads technical evaluations, benchmarks, configurations, proofs of concept, RFP responses, architecture presentations, and interoperability testing. Translates customer requirements into business outcomes, supports opportunity progression and deal closure, develops competitive positioning, and contributes to technical marketing and alliance initiatives.

Leads technical pre-sales activities for healthcare data and technology solutions. Develops technical proposals, presentations, demonstrations, RFI/RFP responses, and customized solution designs. Partners with sales and business solutions teams to support revenue growth, retention, and quotas. Advises clients on product functionality, integration, usage, and strategic fit while building executive relationships. Serves as a regional technical resource, mentor, and escalation point, occasionally supporting post-sales needs.

Own technical sales engagements for AI-powered customer experience assurance solutions, from discovery through technical win. Lead CX and AI stack discovery, solution design, tailored demos, workshops, proofs of concept, and executive business cases. Partner with Sales, Product, and Implementation teams on RFPs and handoffs, while creating enablement materials and mentoring teammates on agentic AI and prompt engineering.

Own the technical sales process for data products from discovery through close. Partner with account teams, lead architecture discussions, demos, proofs of concept, evaluations, ROI modeling, and technical objection handling. Translate customer needs into solutions involving BI, warehouses, APIs, and benchmarking. Support product feedback and post-sale handoff while helping build sales processes, collateral, and evaluation playbooks in an emerging data products organization.

Partners with sales and consulting teams to discover client needs, design tailored Rippling HR and payroll solutions, and deliver customized software demonstrations. Advises prospects on HRIS, payroll, benefits, compliance, and workforce automation; develops proof-of-concept solutions; collaborates with implementation teams; supports onboarding, customer enablement, webinars, and thought leadership.

Partners with enterprise sales teams across the Central region as the technical lead for complex cybersecurity sales cycles. Designs security architectures, conducts technical discovery, leads evaluations and proof-of-value engagements, delivers tailored demos, and advises CISOs and security leaders. Positions the platform against legacy SIEM and security data solutions, supports executive briefings, documents opportunities in Salesforce, and provides customer-driven product feedback.

Leads global developer and GitHub sales and technical enablement strategy. Owns role-based skilling, onboarding, readiness planning, product launches, learning journeys, and field community development for Microsoft and GitHub specialists, sellers, partners, and customers. Collaborates across engineering, product marketing, sales, finance, and learning teams to improve capability, content adoption, seller productivity, pipeline, revenue, usage, and customer outcomes.

Supports sales by leading technical evaluations, product demonstrations, customer debugging, and complex technical engagements. Translates business needs into Harness solutions, communicates value propositions to executive and technical audiences, responds to RFIs and RFPs, represents the product at field events, and conveys customer requirements to Engineering. Requires cloud knowledge, Terraform experience, software development or DevOps experience, strong presentation skills, and travel throughout the sales territory.

Supports complex enterprise sales opportunities for agriculture SaaS solutions by partnering with sales teams, demonstrating products, assessing customer requirements, recommending tailored solutions, preparing technical specifications, validating capabilities, addressing objections, and translating technical functionality into business value. Builds trusted customer relationships through consultative engagement, industry expertise, presentations, and value-based storytelling.

Leads the technical sales process for LATAM customers, presenting and demonstrating the Alkira networking platform, partnering with account managers, responding to technical requests, and managing proofs of concept through close. Designs and supports enterprise networking deployments across data center, WAN, cloud, and hybrid environments. Troubleshoots routing, security, and cloud issues, advises customers on best practices, and provides product feedback to the Product Management team.

Own technical sales cycles for strategic enterprise accounts, including discovery, solution design, demonstrations, proofs of value, architecture reviews, and technical close. Help customers deploy and observe AI agents across platforms such as Databricks and Snowflake. Build technical champions, navigate procurement and infosec reviews, and partner with Account Executives to drive revenue growth and expansion.

Lead technical pre-sales engagements for insurance carriers and MGUs, including discovery, solution design, demos, RFPs, security questionnaires, and platform configuration. Translate insurance workflows into quoting, rating, endorsement, and portfolio optimization solutions. Build reusable demo environments, onboarding materials, configuration libraries, and pre-sales playbooks while collaborating with Sales, Product, Engineering, Security, Marketing, Implementation, and Customer Success. Support roadmap alignment and communicate technical value to executive and practitioner audiences.

Supports mid-market customers throughout pre-sales and post-sales engagements. Conducts technical discovery, designs cloud and hybrid hosting solutions, delivers demonstrations and workshops, supports proofs of concept, and develops technical proposals. Partners with sales, product, implementation, and customer success teams while guiding customers on WordPress, ecommerce, hosting, performance, security, and migration solutions. Shares knowledge with junior engineers and contributes to internal tools, workflows, and product improvements.

Own the technical side of complex enterprise cybersecurity sales cycles, including discovery, demonstrations, workshops, architecture discussions, technical validation, and proofs of concept. Partner with account executives, customers, and channel partners to design security solutions, build trusted relationships, and communicate business value. Mentor sales engineers, establish pre-sales best practices, provide market feedback to internal teams, and support opportunities across Eastern and Central U.S. time zones.

Lead technical sales for runtime authorization across complex enterprise opportunities. Partner with account teams, conduct discovery, deliver demonstrations and workshops, own proofs of value, design integrations, answer security questionnaires, troubleshoot infrastructure environments, and enable sales teams. Advise engineers, architects, and CISOs on IAM, PAM, zero standing privilege, cloud-native access, and AI agent governance. Contribute reusable assets, product feedback, thought leadership, and customer onboarding while traveling approximately 25%.

Supports laboratory instrument sales across the Central Region by demonstrating products, prospecting, following up on leads, preparing quotations, managing customer relationships, and coordinating key accounts. Uses Salesforce for opportunity management and reporting, develops territory sales plans, presents to professional organizations, and learns scientific principles related to metallurgical, spectroscopy, thermal, and elemental analysis equipment.

Own and grow the U.S. corporate sales pipeline for AI-driven software development training. Responsibilities include engaging decision-makers, identifying business needs, tailoring training solutions, selling multi-day programs and ongoing enablement, developing long-term client relationships, and contributing to pricing, packaging, and go-to-market strategy. This is a remote, commission-based, consultative B2B sales role with potential for a future base salary.

Represents SMC’s industrial automation solutions across Oklahoma and the Texas Panhandle. Manages OEM and distributor accounts, develops new business, leads sales processes, forecasts opportunities, maintains CRM data, builds executive relationships, and drives customer growth and retention. The role requires regular regional travel, customer-site engagement, collaboration with internal teams, and monitoring customer project milestones and deliverables.

Serve as the technical advisor for complex B2B integration sales opportunities. Lead technical discovery, solution design, demonstrations, technical validations, proofs of concept, objection handling, and customer handoffs. Partner with Account Executives, Product, Implementation, and Services teams to advance deals, improve technical win rates, reduce implementation risk, and translate EDI, API, supplier enablement, and ERP-integrated solutions into business value.

Partner with Account Executives and enterprise customers to deliver AI governance product demonstrations, conduct technical discovery, scope and guide pilots, and demonstrate business value. Lead stakeholder workshops, collaborate with deployment, product, and engineering teams, capture competitive and customer feedback, and improve demo assets and pilot playbooks. The role requires clear communication with business, risk, compliance, and engineering audiences and may involve travel for key customer meetings.

Lead the technical aspects of enterprise sales opportunities from initial discovery through proof of concept and close. Present and demo Alkira’s networking platform, understand customer requirements, respond to RFPs, design solutions, troubleshoot networking and cloud environments, and guide deployments. Partner with Account Managers and Product Management to influence product strategy and deliver customer-requested features. The role requires deep enterprise networking, security, cloud connectivity, and customer-facing pre-sales expertise.

Leads technical sales and new business development for medical device components and assemblies. Evaluates opportunities, translates customer engineering requirements, develops proposals and pricing strategies, presents technical solutions, supports account management, and identifies market and capability gaps. Collaborates with customers, sales teams, quoting groups, engineering, marketing, and manufacturing facilities to deliver profitable supply chain solutions while maintaining regulatory, quality, safety, confidentiality, and intellectual property requirements.

Own technical wins for strategic enterprise sales, partnering with Account Executives to discover customer needs and develop production-ready solutions. Build proofs of concept, demonstrations, prototype AI agents, and supporting tools while engaging AI teams, data platform teams, and enterprise architects. Apply hands-on experience with LLMs, agents, data science, machine learning, or data engineering to explain how agents retrieve data and use business context.