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Senior Solutions Engineer, Commercial

Verified Direct Employer Vetted
Open to Apply Remote · United States · Posted 10d ago
Customer Experience Solutions & Enablement FullTime

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Stated location
United States
Listing updated on our site
14 Nov 2026, 05:00 EAT

Last seen in the live employer feed: 14 Nov 2026, 05:00 EAT. This confirms a feed listing, not employer endorsement of an application.

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Job at a glance
Employer Verified Direct Employer (Protected)
Location United States
Remote type Remote
Posted 10d ago
Application Status Pro Membership & Free Pass Access

About this role (Direct Employer Details Protected)

At [Employer], we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀

At [Employer], we’re building an AI-powered workspace that brings tasks, docs, chat, and AI-enabled workflows together so teams can spend less time switching tools and more time making progress. Our mission is to make the world more productive. Within Solutions Engineering & Customer Enablement, this role connects complex customer needs to practical product solutions, helping prospects and customers evaluate how [Employer] can support their workflows and business goals.

As a customer-facing technical partner to Sales and Success, you’ll lead discovery, shape solution strategy, and turn technical questions into clear next steps. You’ll help customers see what’s possible with [Employer] while keeping recommendations grounded in real workflows, integration needs, and adoption considerations.

Mission

Help prospects and customers understand how [Employer] can solve meaningful workflow and productivity challenges through strong technical discovery, practical solution design, and credible guidance throughout the buying journey.

What You’ll Accomplish

  • Partner with Sales and Success to lead technical discovery, deliver tailored demos, and show how [Employer], integrations, and AI-enabled workflows map to customer needs.
  • Design and lead proof-of-value or proof-of-concept work so buyers can validate product fit, adoption potential, and business impact.
  • Translate stakeholder requirements into clear solution recommendations, including workflow design, reporting approaches, and lightweight technical architecture.
  • Support technical validation in live opportunities, including integration discussions, data migration considerations, security and process questions, and RFP responses.
  • Build custom reports, dashboards, and demo environments that reflect real customer use cases and make the platform concrete and credible.
  • Stay current on product capabilities and releases so you can explain solutions accurately and connect new features to customer needs.
  • Work with Account Executives, Customer Success, Product, and Engineering to remove blockers and improve the customer experience.

Required Qualifications

  • Experience in a customer-facing technical role in software, such as pre-sales, solutions engineering, sales engineering, technical consulting, implementation, or a closely related path.
  • Demonstrated ability to lead technical discovery, live demos, and solution conversations with business and technical stakeholders.
  • Ability to turn ambiguous customer problems into structured recommendations, persuasive narratives, and practical next steps.
  • Comfort discussing APIs, integrations, automation, data flows, and change-management considerations in clear, customer-friendly language.
  • Strong presentation and executive communication skills, with the ability to influence technical and non-technical audiences.
  • Consultative, outcomes-oriented judgment that balances technical depth with commercial urgency.
  • Ability to manage multiple customer opportunities and priorities with ownership, adaptability, and clear follow-through.

Preferred Qualifications

  • Experience supporting complex B2B SaaS evaluations with multiple stakeholders and proof-of-value work.
  • Familiarity with workflow, collaboration, productivity, CRM, support, or automation platforms.
  • Hands-on experience with integration platforms, web services, APIs, or adjacent solution-design tools.
  • Experience with business process mapping, value-based selling, and technical storytelling.
  • Exposure to AI-enabled product workflows and the ability to explain their practical customer value.

Location & Travel

  • This U.S.-aligned role supports AMER customers and internal partners and requires effective collaboration across U.S. business hours.
  • This role is fully remote within the United States.

Equal Opportunity Employer

[Employer] is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Privacy Notice

[Employer] collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice.

If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details.

Visa Sponsorship

Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.

Fraud Alert

[Employer] Talent Acquisition will only initiate contact via an @[Employer].com email or through our official careers portal on [Employer].com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to [email removed].

AI Processing Notice

[Employer] may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at [email removed].

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