# Founding Customer Engineer

**Company:** [Terminal](https://hotfix.jobs/companies/terminal)
**Location:** Toronto, Canada
**Role:** Solutions Architecture
**Salary:** CA$200k – CA$260k/yr
**Experience:** 5+ years
**Skills:** TypeScript, Node.js, AWS, AWS Lambda, Amazon Dynamodb, Amazon S3, Amazon Sqs, Amazon Eventbridge, Aws Step Functions, React, Next.js, Aws Cdk, GitHub Actions, Data Pipelines, APIs
**Posted:** 2026-07-28

> Owns post-sales technical implementations for enterprise customers, from integration design and production readiness through fleet-scale synchronization and escalations. The role requires Fortune 500 implementation experience, data-engineering fundamentals, and the ability to establish repeatable go-live standards.

## Job Description

## Responsibilities

### Own the Technical Path to Production Readiness
- Own technical solutioning and integration design for enterprise accounts, including delivery mode, data environment, and known dependencies.
- Define and document go-live criteria across technical readiness, data-quality validation, security and compliance sign-off, and customer-side readiness.
- Publish the readiness checklist at kickoff.
- Track time-to-readiness milestones, vehicle-count matching, backfill verification, and latency against SLA.

### Enablement and Technical Scaling
- Train customer technical teams on the dashboard, common-issue runbooks, and escalation paths.
- Scale customers from their first production fleet to full fleet syncing.
- Monitor sync health, latency, and API error rates in PostHog, acting on threshold alerts proactively.
- Own technical escalations end to end and involve Sales Engineering when escalation thresholds are met.
- Track active-vehicle coverage, incident resolution within SLA, and elimination of recurring issues.

### Build the Founding Customer Engineer Playbook
- Co-author the production-readiness Definition of Done, kickoff technical playbook, and common-issues repository.
- Document recurring issue patterns and feed structural fixes back to Engineering.
- Improve repeatability and reduce time to readiness as the playbook matures.

## Requirements
- Experience delivering technical implementations for Fortune 500 customers in a post-sales context.
- Ownership of enterprise go-lives from end to end.
- Understanding of data-engineering fundamentals, including APIs, data pipelines, warehouse replication, data completeness, and latency.
- Experience driving security and data-governance reviews through resolution.
- Ability to communicate technical realities to executives and translate customer requirements into actionable engineering scope.
- High-urgency, high-accountability approach to escalations and dated readiness plans.
- Comfort reading and writing TypeScript against APIs and data pipelines, designing durable integrations as schemas and volumes grow, and guiding customers on ingestion, synchronization, webhooks, and queryable vehicle data.

## Nice to Have
- Experience in telematics, fleet, insurance, or logistics.
- Strong data-engineering background.
- Experience building or operating production-readiness or go-live standards that withstand Fortune 500 security reviews.
- Experience at Snowflake, Databricks, Twilio, Stripe, or a similar company.

## Technology
- Node.js
- TypeScript
- AWS Lambda
- Amazon DynamoDB
- Amazon S3
- Amazon SQS
- Amazon EventBridge
- AWS Step Functions
- Next.js
- React
- Vercel
- Tailwind CSS
- shadcn
- SST
- AWS CDK
- GitHub Actions
- PostHog

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