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Solutions Architect — AI Infrastructure
Summary by AIEngineer.careers
Solutions Architect — AI Infrastructure is a AI Solutions Architect role (full-time). with a fast-growing startup. in REMOTE, SAN FRANCISCO, US. Compensation shown: $150K–$220K. Imported listing (source: workflowza.zya.me). Apply on the employer's site (workflowza.zya.me).
Imported listing (source: workflowza.zya.me) · Apply on workflowza.zya.me
REMOTE · SAN FRANCISCO · US
$150K–$220K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from workflowza.zya.me
PagerDuty is hiring a Solutions Architect for AI Infrastructure to lead technical sales for a YC-backed AI gateway used by Adobe, Netflix, and Nvidia. You'll own enterprise demos, architecture conversations, and integrations, while feeding customer insights back into the product roadmap. This is the first dedicated SA/Sales Engineer role at a fast-growing startup.
Responsibilities
- Own technical demos for enterprise prospects alongside AEs — running them daily at high volume
- Be the go-to technical expert on every customer call: architecture questions, integration scoping, platform positioning
- Manage ~50 active opportunities at once across a fast, no-nonsense sales cycle
- Help customers get live — supporting post-sales onboarding on AI Gateway architecture for production (primarily pre-sales focused)
- Feed customer insights directly back to the product and engineering teams — your voice shapes the roadmap
Requirements
- 3+ years in a technical, customer-facing sales role — Solutions Architect, Sales Engineer, or Technical Consultant
- Experience demoing developer tools (Datadog, Twilio, Snowflake) to enterprise engineering teams and closing deals
- Ability to sell to engineers — not just around them
a fast-growing startup
San Francisco · US · 9735+ employees
PagerDuty provides an AI-first operations platform for digital businesses. It helps teams detect, triage, automate, resolve, and prevent critical incidents, combining incident management, AIOps, automation, customer service operations, and generative-AI assistance.
