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Coursedog

Academic scheduling and curriculum management platform

Sales Solutions Engineer - Ed Tech

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 3 years of experience in Solutions Engineering, Sales Engineering, Solutions Consulting, or Solutions Architecture.
  • Customer-facing experience in higher education operations, Product, Customer Success, or Integration Engineering is also considered.
  • Ability to configure and customize products directly, with a strong SaaS background and comfort with integrations and enterprise security conversations.
  • Ability to run sales demos, influence executive decision makers, and translate technical details into business value.
  • Ability to document knowledge, collaborate with teammates, and share context.
  • Ability to identify deal patterns and turn them into processes, enablement, or product feedback.
  • Ability to estimate delivery effort from requirements and maintain scope boundaries in a Statement of Work.
  • Working fluency with AI tools such as Claude for drafting and quality-assuring long-form responses, summarizing call transcripts, structuring documentation, and building repeatable prompts, skills, or workflows; judgment to verify AI output and identify errors.
  • Willingness to own and improve processes.
  • Ability to travel for client meetings, conferences, and go-to-market events.

Responsibilities

  • Deliver demos and proofs of concept configured around the customer’s primary pain point.
  • Support Account Executives and Account Managers across new-logo and expansion sales motions.
  • Validate use cases before scheduling the first demo, grounding each demo in a named buyer workflow.
  • Lead integration and security discussions with prospects, campus IT, and security reviewers.
  • Review requirements early, flag outliers, and secure cross-functional approval before commitments are made.
  • Score each opportunity using the Implementation Risk model and surface high-risk deals before signature.
  • Draft and quality-assure RFP/RFI and security questionnaire responses using Claude and the knowledge base as the source of truth; verify accuracy and address gaps between written responses and demo positioning.
  • Own and maintain the RFP Response Library.
  • Support late-stage contract and Master Services Agreement negotiations.
  • Serve as the subject matter expert for product, security, and integration questions, and build return-on-investment analyses for strategic accounts.
  • Travel for in-person presentations and key-account support.
  • Own the required customer experience call as the final alignment checkpoint before revenue is booked.
  • Validate use cases through scoping and the customer experience call by confirming workflows, volumes, and edge cases expected at go-live, and ensuring hour estimates and Statements of Work reflect them.
  • Produce implementation-hour estimates and implementation services fees that reflect actual complexity, using the scoping model and AI-assisted estimates based on deal context and call transcripts.
  • Generate dynamic Statements of Work from Salesforce data, including products, student information system, and integration method.
  • Set in-scope and out-of-scope boundaries across core products and identify legitimate implementation services fee expansion where additional work exists.
  • Surface known issues before signature and proactively negotiate non-standard items with clients.
  • Run Statement of Work redlines through a public cross-functional Slack channel so Sales, Solutions Engineering, Customer Success, and leadership align on risks and tradeoffs before concessions.
  • Share the Implementation Readiness Guide to prepare customers for handoff.
  • Produce a documented handoff for every closed-won deal covering customizations, workarounds, and edge cases from discovery, demos, RFPs, and customer experience calls.
  • Review and correct Claude-generated Solutions Engineering summaries synthesized from Gong/Glyphic calls and published to the Solutions Engineering Activity Table before they reach Customer Success.
  • Maintain cross-functional Slack visibility on complex deals through go-live.
  • Own a formal transition from pre-sales to Customer Success with documented context and named risk areas.
  • Maintain demo environments aligned with the product roadmap and marketing priorities, with clean, consistent data and reporting.
  • Use Devin and AI tools to improve the speed and quality of custom demo builds, including catalogs, syllabi, and forms.
  • Document each customization so it is intentional, transferable, and visible downstream.
  • Feed relevant demo and customization output into early-stage outreach for targeted systems and territories.
  • Maintain rapid-response support channels for go-to-market teams.
  • Facilitate biweekly enablement on product updates, competitive intelligence, and demo best practices.
  • Curate release-note digests, enablement materials, and competitor research for go-to-market leadership.
  • Serve as the go-to-market liaison to Product and Customer Success, providing structured market feedback for feature requests, roadmap prioritization, and gap analysis.
  • Support Marketing and Sales Development Representative teams with thought leadership, including webinars, white papers, blogs, and conference support.
  • Partner with Engineering and Security on integrations, accessibility, and compliance certifications such as HECVAT and TX-RAMP.
  • Contribute to the feedback loop across go-to-market, Customer Success, Product, and Engineering by sharing what worked, what did not, and emerging trends.
  • Log every Solutions Engineering request against a template in the Solutions Engineering Activity Table so work is visible, trackable, and reusable.
  • Ensure customer interactions are recorded and visible.
  • Conduct cross-functional alignment in public Slack channels rather than direct messages.
  • Maintain transparent Statement of Work negotiation tracking and standardized reporting.
  • Document or automate solved problems so the team can repeat the solution.

About the Company

Coursedog

Academic scheduling and curriculum management platform

Coursedog builds an integrated SaaS platform for higher education operations. It connects scheduling, curriculum and syllabus management, and online course catalogs with a university’s existing Student Information System (SIS) so data stays in sync in real time. Administrators use the platform to project course demand, automate room assignments, apply scheduling policies, and capture faculty preferences, reducing manual data entry and scheduling conflicts. By offering a single, connected toolset instead of spreadsheets and legacy systems, Coursedog helps colleges and universities run their academic operations more efficiently and support student success. The company earns recurring revenue through a one-time implementation fee plus annual licenses that scale with institution size, and it targets customers from individual schools to large systems like CUNY and BYU. Its goal is to streamline institutional workflows with data-driven analytics to improve scheduling and enrollment outcomes.

Company size
51-200
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$111.3M
Headquarters
New York City, United States
Founded
2018

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