Technical Delivery Engineer

Liminal•Salt Lake City, UT

9d•$105,000 - $125,000•Hybrid

About The Position

The Role Liminal GTM is the execution layer that turns verified intelligence into pipeline velocity - dynamic account targeting, enriched contacts, personalized outreach, live battlecards, and AI coaching, all grounded in the Living Graph. When enterprise revenue teams buy GTM, the intelligence only delivers value once it's live inside their CRM, connected to their workflows, and running in production. That’s where this role begins. We’re looking for a Technical Delivery Engineer who fully owns the post-sales technical lifecycle for Liminal GTM. Once the deal closes, you take end-to-end responsibility — scoping, integrating, troubleshooting, deploying, and ensuring measurable customer value. This is not a configuration-only role. You will: Diagnose issues across APIs, databases (SQL + NoSQL), and CRM systems Use AI tools to accelerate debugging, analyze code, and surface root causes Build scalable, repeatable implementation systems Act as the technical authority during delivery Troubleshoot integration code (primarily JavaScript / Node.js) You are both the customer-facing technical lead and the hands-on engineer who ensures what we sold actually works in production. This is a foundational hire. You’ll be the first dedicated delivery engineer on the team — building the playbooks, defining technical standards, and establishing the implementation practice that scales with Liminal. As the customer base grows, this role has a clear path to leading a delivery engineering function. This role is based in Salt Lake City and reports to the VP of Engineering. What Success Looks Like In Your First 30 Days Shadow all active customer implementations Document the full technical delivery workflow end-to-end Audit existing integration code and deployment patterns Deliver standardized SOPs, technical runbooks, and troubleshooting frameworks Identify repeat failure patterns and propose system-level fixes In Your First 90 Days Independently scope, build, and deploy full CRM integrations Troubleshoot production issues without escalation Use AI tooling to accelerate debugging and root cause analysis Reduce implementation friction by introducing reusable templates and automation Establish structured tracking of delivery work in Monday In Your First Year Measurably decrease time-to-value for new GTM customers Build a repeatable, scalable technical delivery framework Serve as the escalation authority for complex technical issues Influence product architecture based on real-world implementation patterns Help define hiring criteria and onboard additional delivery engineers

Requirements

5+ years in technical implementation, integration engineering, or post-sales delivery within SaaS or enterprise software
Strong hands-on experience with: JavaScript and Node.js REST APIs and webhook architectures SQL databases NoSQL databases CRM integrations (Salesforce and/or HubSpot)
Demonstrated ability to troubleshoot complex, multi-system production issues independently
Experience using AI tools (e.g., code copilots, LLM-based debugging tools, prompt-based analysis) as part of your engineering workflow
Ability to read unfamiliar codebases quickly and diagnose root causes
Strong understanding of CRM data models, API limits, authentication flows, and automation tooling
Experience tracking technical delivery work in systems like Monday (or similar project management platforms)
Comfort leading technical discussions with customer stakeholders
Clear documentation and communication skills
A bias toward ownership — you don’t escalate problems by default; you solve them

Nice To Haves

Salesforce and/or HubSpot certifications
Experience building Node-based middleware or integration services
Experience designing scalable data mapping frameworks
Background in revenue operations, sales enablement, or GTM tooling
Experience establishing delivery playbooks at a high-growth SaaS company
Prior experience building or leading a delivery engineering team
Experience formalizing AI-assisted engineering workflows across a team

Responsibilities

Own the full post-sales technical delivery lifecycle from handoff through go-live and validation
Architect and build custom CRM integrations for Salesforce and HubSpot
Write and maintain integration services using JavaScript and Node.js
Design and debug API workflows, authentication flows, and data synchronization logic
Work across SQL and NoSQL databases to validate data models, debug inconsistencies, and resolve sync failures
Use AI tools to: Analyze and review integration code Accelerate root cause analysis Generate diagnostic queries Validate fixes before deployment
Troubleshoot production issues across the stack: CRM APIs Webhooks Middleware Data mapping Authentication Performance bottlenecks
Translate customer CRM environments into executable technical implementation plans
Lead technical kickoffs and milestone walkthroughs with customers
Act as the technical escalation point for delivery and customer success
Track implementation progress, risks, and dependencies in Monday
Build and maintain implementation templates, code patterns, and best practice documentation
Partner with Product Engineering to surface bugs, architectural gaps, and recurring integration friction