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Relyance AI logo
Relyance AI

Speed(Privacy/Governance/ComplianceOps) = Speed(Dev/BizOps)

Forward Deployed Engineer

EngineerEngineerFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

California + 9 moreAll locations: California | Colorado | Idaho | Montana | Nevada | New Mexico | Oregon | Utah | Washington | Wyoming

Posted

81 days ago

Salary

$220K - $250K / year

Seniority

Senior

Bachelor DegreeEnglishAWSAzureGCP

Job Description

Forward Deployed Engineer

Relyance AI

• Run deep, structured discovery with customer stakeholders (Security/Privacy/Data/Engineering): listen hard, ask incisive follow-ups, uncover root causes, and translate pain into clear outcomes and an actionable technical plan leveraging the Relyance AI platform. • Own the technical solution end-to-end—from architecture and integration design through implementation—making pragmatic tradeoffs that balance speed, security, and long-term maintainability. • Implement and ship: configure the platform, stand up integrations, validate outcomes, troubleshoot in real time, and deliver working deployments (not just recommendations). • Build reusable technical assets that accelerate success: repeatable rollout playbooks, runbooks, reference architectures, automation/scripts, validation checklists, and “starter” templates that customers can adopt and scale. • Partner with the Value Realization team to drive measurable outcomes and adoption by helping define success metrics, establishing technical baselines, and delivering technical enablement (workshops, working sessions, office hours) that turn platform capabilities into sustained usage. • Serve as the technical lead for your accounts, partnering with Sales and the Value Realization team to ensure successful deployments, strong technical adoption, and opportunities to expand platform usage. • Shape product direction with concrete customer evidence: synthesize discovery patterns, propose product gaps and solutions, and work closely with Product/Engineering—especially with early adopters—to refine product fit. • Communicate with clarity and precision: concise updates, strong stakeholder management, and crisp articulation of risks, timelines, and tradeoffs for both technical and non-technical audiences.

Job Requirements

  • Ability to run structured discovery, listen for the real problem, ask sharp follow-ups, map stakeholders, and translate customer pain into clear outcomes + a concrete technical plan
  • Proven ability to design, implement, and validate solutions — from integration planning through deployment and post-go-live optimization
  • Experience owning technical relationships and outcomes in roles like Solutions Engineer, Solutions Architect, TAM, Implementation Lead, Support/Systems Engineer, etc.
  • Hands-on experience designing and deploying solutions in AWS, GCP, or Azure
  • Working knowledge of modern data landscapes—sources, pipelines, storage/warehouses/lakes, data movement, observability, and how tools connect across teams
  • Comfortable with APIs (REST), auth patterns (OAuth/SSO concepts), logs/debugging, and integration validation tools (e.g., Postman)
  • Proficiency in leveraging AI tools to build prototypes, automations, accelerators, internal utilities, and customer-facing workflows/demos that speed delivery
  • Strong accountability, follow-through, and operational rigor—able to run multiple workstreams, track risks, and deliver reliably
  • Ability to explain complex technical concepts to both technical and non-technical stakeholders; strong stakeholder management and crisp written updates
  • Comfort working with new or emerging products—guiding early adopters, creating repeatable playbooks, and shaping product fit via structured feedback to Product/Engineering

Benefits

  • Competitive salary
  • Fair and equitable compensation practices
  • Opportunities for professional development

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