Senior Solutions Engineer
New
P
PandaDocSaaS, Document Workflow
Remote (USA)Full-TimeSenior
SalaryTarget OTE is $145,000 - $155,000 (base + variable tied to revenue outcomes).
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Job Details
- Experience
- 3+ years
- Required Skills
- SalesforceRESTful APIsJSONSaaSHubSpotCRM
Requirements
- 3+ years of pre-sales or solutions engineering experience in a revenue organization.
- Proven track record running consultative sales cycles on complex, multi-stakeholder SaaS deals.
- Strong working knowledge of integrations, APIs (REST, JSON, SDKs), MCP connectors, and CRM platforms like Salesforce, HubSpot, or Dynamics.
- Confidence navigating complex, heavily integrated technical environments and translating them into clear, compelling narratives.
- Genuine curiosity about AI and a track record of building with it, whether that is workflow automation, internal tools, or something else entirely.
- Self-starter with high emotional intelligence and problem-solving skills.
- Hands-on experience with document workflows, contract processes, or CPQ (bonus).
- Experience mentoring peers or scaling best practices across a pre-sales team (bonus).
- CS degree or equivalent technical background (bonus).
Responsibilities
- Partner with AEs to quarterback the full technical sales cycle on complex, multi-stakeholder deals: discovery, solution design, demo, and close.
- Lead consultative discovery that peels back the onion, surfacing the real business problem behind the stated ask and defining measurable success criteria.
- Design and deliver highly customized, outcome-driven demos that address advanced customer needs, and contribute demo content and best practices that raise the bar for the whole team.
- Design and implement complex solutions across CPQ, APIs, integrations, and automation, and lead technical discussions with customers' business and engineering stakeholders.
- Proactively own customer relationships across an account, building champions and expanding stakeholder relationships that create value-based outcomes.
- Proactively surface deal risks, trends, and product feedback to leadership, and provide feedback and support that helps your peers win.
- Design and implement AI-assisted workflows that improve efficiency for you and the team, and coach others on doing the same.
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