Relyance AI

Forward Deployment Engineer

Relyance AI

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformSQL

About the role

  • 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 technical assets that accelerate success: repeatable rollout playbooks, runbooks, reference architectures, automation/scripts, validation checklists, and “starter” templates that customers can adopt and scale.
  • Drive measurable outcomes and adoption by defining success metrics, establishing baselines, and running enablement (workshops, working sessions, office hours) that turn features into sustained usage.
  • Operate as the technical owner for your accounts: maintain a living technical account plan, 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, and deliver high-quality RCAs and prevention plans—then verify fixes and close the loop with customers.
  • 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.

Requirements

  • Deep discovery leadership: 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.
  • Hands-on solution delivery: Proven ability to design, implement, and validate solutions — from integration planning through deployment and post-go-live optimization.
  • Customer-facing technical + account ownership: Experience owning technical relationships and outcomes in roles like TAM, Solutions Engineer, Implementation Lead, Support/Systems Engineer, etc.—comfortable being the technical owner for an account.
  • Cloud deployment experience: Hands-on experience designing and deploying solutions in AWS, GCP, or Azure (architecture, services, permissions, networking basics, operational considerations).
  • Strong data ecosystem understanding: Working knowledge of modern data landscapes—sources, pipelines, storage/warehouses/lakes, data movement, observability, and how tools connect across teams.
  • Integration and troubleshooting proficiency: Comfortable with APIs (REST), auth patterns (OAuth/SSO concepts), logs/debugging, and integration validation tools (e.g., Postman). Bonus if you can script/automate and reason about data (SQL).
  • AI-powered building mindset: Proficiency in leveraging AI tools to build—prototypes, automations, accelerators, internal utilities, and customer-facing workflows/demos that speed delivery.
  • High ownership + detail orientation: Strong accountability, follow-through, and operational rigor—able to run multiple workstreams, track risks, and deliver reliably.
  • Clear communication for mixed audiences: Ability to explain complex technical concepts to both technical and non-technical stakeholders; strong stakeholder management and crisp written updates.
  • Early-product / GTM maturity: Comfort working with new or emerging products—guiding early adopters, creating repeatable playbooks, and shaping product fit via structured feedback to Product/Engineering.
Benefits
  • Health insurance
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AWSGCPAzureAPIsRESTOAuthSSOSQLintegration designtroubleshooting
Soft Skills
deep discovery leadershipcustomer-facing technical ownershiphigh ownershipdetail orientationclear communicationstakeholder managementoperational rigoraccountabilityfollow-throughability to explain complex concepts