Solutions Engineer

CoderPad is on a mission to create a more inclusive and strong tech community by improving the technical interviewing experience. As a Solutions Engineer, you will be the technical authority in pre-sales conversations, assisting with discovery, building demos, and ensuring customer success through technical evaluations and integrations.

Responsibilities:

• Own the technical track in pre-sales - assisting in discovery calls, scoping custom demos, setting up enterprise trials and running technical evaluations with engineering and TA stakeholders
• Draft responses to RFPs, security questionnaires, and vendor assessments; maintain a reusable answer library and leveraging AI so nothing gets written twice
• Build demo environments that mirror real customer workflows - live coding interviews, async Screen assessments, ATS-connected pipelines
• Create impactful sales content in partnership with marketing: integration guides, competitive battlecards, solution briefs, and objection-handling frameworks
• Assist with proof-of-concepts as a technical contact end-to-end: scoped, time-boxed, and tied to measurable success criteria that accelerate the close
• Configure and demo API and ATS integrations (Greenhouse, Lever, Workday, and others) to technical buyers
• Act as a voice between Sales and Product - you hear the objections first, so your input shapes what gets built
• Support post-sale onboarding for strategic accounts where the technical setup requires the same depth as the pre-sales evaluation

Requirements:

• Hands-on software engineering background - you can read code, speak credibly to engineers, and debug an integration on the fly
• Comfort with AI/LLM concepts — enough to answer skeptical questions from technical buyers and demo AI features with confidence and use it yourself to accelerate your workflows
• 3+ years as a Solutions Engineer or Sales Engineer at a SaaS company, with a track record of supporting enterprise deals
• Ability to shift context fast - comfortable with a CISO security review in the morning and a recruiter workflow demo in the afternoon
• Strong written and verbal communication; you can make complex things land clearly for both technical and non-technical audiences
• A genuine interest in how technical hiring works - and strong opinions about where it falls short
• Experience building with or evaluating AI-powered tools
• Comfortable operating without a playbook; we're growing fast and you'll help write it
• Strong sense of ownership and organization to manage multiple projects simultaneously to success
• Experience with ATS platforms and HR tech ecosystems
• Familiarity with technical interviewing best practices and candidate evaluation frameworks
• Background in developer tooling, DevOps, data engineering, or distributed systems