Forward Deployment Engineer

1 month ago
Full-time
Senior
DevOps and Infrastructure
Relyance AI

Relyance AI

Relyance AI is revolutionizing data protection and privacy with its AI-powered platform. They offer full visibility and proactive data protection, managing privacy, data governance, and compliance operations seamlessly. By automating workflows and leve...

IT Services
51-250
Founded 2020
$30M raised

Description

  • Run deep, structured discovery with customer stakeholders to uncover root causes, translate pain into measurable outcomes, and produce actionable technical plans leveraging the Relyance AI platform.
  • Own technical solutions end-to-end, including architecture and integration design, pragmatic tradeoffs, implementation, and post-go-live optimization.
  • Implement and ship working deployments by configuring the platform, standing up integrations, validating outcomes, troubleshooting in real time, and delivering production-ready results.
  • Create repeatable technical assets that accelerate success, such as rollout playbooks, runbooks, reference architectures, automation/scripts, validation checklists, and starter templates.
  • Define success metrics, establish baselines, and run enablement activities (workshops, working sessions, office hours) to drive measurable adoption and sustained usage.
  • Maintain living technical account plans, proactively identify expansion opportunities, and partner with Sales to convert technical wins into renewals and growth.
  • Lead escalations hands-on: reproduce issues, isolate root causes, coordinate with Engineering/Support, deliver RCAs and prevention plans, and verify fixes with customers.
  • Synthesize field discovery into product recommendations, propose product gaps and solutions, and work closely with Product/Engineering (especially with early adopters) to refine product fit.
  • Communicate concisely with mixed audiences, provide clear updates, manage stakeholders, and articulate risks, timelines, and tradeoffs for technical and non-technical stakeholders.

Requirements

  • Proven experience running structured discovery and translating stakeholder input into clear outcomes and technical plans.
  • Proven ability to design, implement, validate, and operate integrations and end-to-end solutions from planning through deployment and post-go-live optimization.
  • Experience owning technical customer relationships and outcomes in roles such as TAM, Solutions Engineer, Implementation Lead, Support/Systems Engineer, or similar.
  • Hands-on cloud deployment experience in AWS, GCP, or Azure, including architecture, services, permissions, networking basics, and operational considerations.
  • Working knowledge of modern data ecosystems, including sources, pipelines, storage/warehouses/lakes, data movement, and observability.
  • Proficiency with integrations and troubleshooting: REST APIs, authentication patterns (OAuth/SSO concepts), logs/debugging, and integration validation tools (e.g., Postman).
  • Scripting/automation ability and data reasoning skills (e.g., SQL) are a bonus for building and validating integrations.
  • Experience leveraging AI tools to build prototypes, automations, accelerators, internal utilities, or customer-facing workflows and demos.
  • High ownership, attention to detail, and operational rigor with ability to run multiple workstreams, track risks, and deliver reliably.
  • Comfort working with early-stage or emerging products and GTM motion: guiding early adopters, creating repeatable playbooks, and providing structured feedback to Product/Engineering.

Interested in this position?

Apply directly on the company website

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