Solutions Engineer
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Job Description
Solutions Engineer scaling technical sales for Whippy’s AI communication platform. Designing integrations, AI-agent proofs, enterprise deployments, and reusable implementation playbooks.
Responsibilities:
- Design technical solutions for complex enterprise sales deals, including product selection, ATS integrations, data write-backs, and branch rollout architecture
- Lead technical deep-dive calls with prospects and their IT administrators
- Build prospect-specific sandboxes and working AI agents for proof of concept
- Own RFPs and security reviews end to end
- Travel with the sales team to industry shows and enterprise customer sites as the technical face of Whippy
- Design deployment architecture for enterprise accounts
- Hand fully documented implementations to Customer Success
- Handle technical escalations beyond standard support
- Build and maintain a reusable pattern library of deployment playbooks
- Provide feedback to engineering on lost deals, prospect requests, and competitor gaps
- Run the standard demo independently within the first 30 days
- Own technical calls on live deals and ship initial deployment playbooks
- Own the technical motion on enterprise deals and expand the pattern library
Requirements:
- Experience as an SE, Solutions Consultant, or senior Implementation Engineer in staffing technology, ATS ecosystems, or CCaaS and business telephony
- Ability to read API documentation fluently
- Ability to test endpoints without an engineer
- Ability to debug integrations live on customer calls
- Experience building or configuring AI agents or IVR flows
- Ability to run technical demos independently under challenging questioning
- Strong technical documentation skills
- Ability to explain architecture in plain English to business owners
- Ability to engage effectively with customer IT teams
- Willingness and ability to travel to industry shows and customer sites
- Customer-facing experience every week
- Ability to work with ATS integrations, telephony architecture, AI agents, and workflow automation
- Ability to work with prospect-specific sandboxes and proof-of-concept environments
Benefits:
- Travel to industry shows and customer sites
- Bootstrapped and profitable company environment
- AI-first work practices
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