How you will make an impact:
As a Senior Solutions Engineer at Hygraph, you'll be the trusted technical and strategic partner to engineering and content leaders at organizations evaluating Hygraph. This is a US-based role focused on prospects and customers in the US market, and you'll collaborate closely with Hygraph colleagues across the globe. You'll lead with discovery, not features: understanding what a prospect is trying to achieve, then designing and proving a solution that gets them there.
This is a hybrid role. About 70% of your time will focus on pre-sales solutions engineering: running discovery, shaping solutions, delivering tailored demos and workshops, and leading Proof of Outcomes engagements. The other 30% carries into post-sales solutions architecture, guiding new customers through key architecture decisions and early implementation so the outcomes we commit to in the sales cycle are the outcomes customers achieve. Across both, you'll work closely with Account Executives, CSMs, Product, and our Forward Deployed Engineers, who build hands-on alongside strategic prospects and customers.
Reporting to the Director of Solutions & Support, you'll help shape how pre-sales and solutions architecture work together at Hygraph as we scale. This is a customer-facing role built on a software engineering foundation, not a software development position.
What you'll work on:
Pre-sales solutions engineering (about 70%)
Lead technical discovery to uncover a prospect's business goals, current architecture, and definition of success, and connect them to measurable outcomes.
Design and present solution architectures tailored to each prospect's stack, content operations, and constraints.
Build and deliver demos that tell the prospect's story, including developing web front-end prototypes with modern frameworks.
Scope and run Proof of Outcomes engagements (Hygraph's approach to proofs of concept), agreeing clear success criteria with the prospect and partnering with Forward Deployed Engineers on hands-on build work.
Lead technical workshops and deep dives for executives, architects, developers, and content teams.
Own the technical win in late-stage deals, including security, scalability, integration, and migration questions.
Partner with Account Executives on account strategy, qualification, and deal planning.
Bring field insight back to Product and Engineering on what prospects need and why we win or lose.
Post-sales solutions architecture (about 30%)
Drive a clean handoff from sales to onboarding, carrying agreed outcomes and success criteria into implementation.
Advise new customers on architecture, including content modeling, schema design, localization, frontend choices, and third-party integrations.
Partner with CSMs and Forward Deployed Engineers on complex technical engagements and expansion opportunities.
Contribute to reference architectures, best-practice guidance, and reusable assets used across the customer lifecycle.
Document complex customer cases to strengthen the team's playbooks.
Build and deploy production-grade, LLM-enabled applications with strategic customers, owning full-stack implementation, AI orchestration, and reusable engineering patterns that scale across enterprise deployments.
Build and deploy production-grade, LLM-enabled applications with strategic customers, owning full-stack implementation while creating reusable AI patterns and influencing platform tools and product direction.
Own end-to-end delivery of production-grade, LLM-enabled applications, partnering with customers to architect and deploy AI solutions while creating reusable tools and patterns that scale across enterprise deployments.
Own enterprise customer deployments of AI agents from onboarding through production, building integrations, tuning LLM workflows, and translating customer needs into product and engineering improvements.
Lead customer deployments of voice AI from requirements through production, building integrations and reliable workflows while using deployment insights to improve the product.
