Sr Sales Engineer - GIA

G-P

1d•Remote

About The Position

GIA is an AI SaaS product in a product-led sales (PLS) motion. The Senior Sales Engineer is the technical and product expert in the sales cycle—owning discovery, demos, technical validation, security/compliance questions, and proof-of-value (POV) execution. You will help customers confidently adopt GIA, accelerate time-to-close, and ensure a smooth handoff to Customer Success.This is an AI-first role in both dimensions: you're selling an AI product and you operate as an AI-native practitioner to do your job faster and better.

Requirements

6–10+ years in Sales Engineering / Solutions Consulting / Pre-Sales for B2B SaaS (mid-market + enterprise)
Strong ability to run technical discovery and translate needs into solutions
Experience navigating enterprise IT/security requirements (SSO/SAML, SCIM, SOC 2, privacy)
Excellent communication: can explain complex technical topics to both execs and practitioners
Comfortable operating in ambiguity and building repeatable processes in a fast-moving environment
Experience/knowledge about AI/LLM products, agents, RAG, knowledge bases, or workflow automation platforms
Reaches for AI tools first — uses them daily across research, writing, prototyping, demo builds and vibe coding. Can enable teammates and other teams.
Experience with APIs, webhooks, integrations, and light scripting (Python/JS) for demos/POVs

Nice To Haves

Experience supporting PLS motions (PQL-led sales assists + enterprise expansion)

Responsibilities

Lead technical discovery with prospects and customers: workflows, integrations, data flows, user roles, and success criteria
Translate customer requirements into a clear solution approach and implementation plan
Identify blockers early (security, IT, data/privacy, legal/compliance) and drive resolution
Deliver compelling demos tailored to HR/legal/compliance use cases and buyer personas
Own POVs/pilots: scope, timeline, success metrics, configuration, and final readout
Build lightweight prototype configurations, templates, or workflows to prove value quickly
Guide customers through AI adoption concerns: accuracy, trust, data grounding, and change management
Act as the technical lead for vendor assessments: SOC 2, data privacy, retention, access controls, audit logs, encryption, SSO/SAML, SCIM
Create and maintain technical documentation for sales: security one-pagers, architecture diagrams, FAQs
Partner with internal Security/Legal teams to streamline responses and build reusable artifacts
Address enterprise AI procurement concerns around LLM data handling, model governance, and output reliability — with crisp, reusable answers
Capture and synthesize voice-of-customer feedback to inform roadmap and packaging
Enable Sales and CS: demo scripts, competitive positioning, technical objection handling, POV playbooks
Contribute to scalable assets: demo environments, sample data sets, repeatable configurations
Partner closely with AEs on account strategy, mutual action plans, and executive storytelling
Coordinate with Product/Engineering on escalations and customer-specific needs without derailing roadmap
Support smooth handoffs to CS/Implementation with clear success criteria and technical context