# Forward-Deployed Customer Engineer (Enterprise)

**Company:** [Telmai](https://zerogtalent.com/ai-companies/telmai)
**Location:** US / Remote (US)
**Work mode:** Remote
**Employment type:** Contract
**Salary:** USD 140–160/yr
**Category:** Aerospace Engineering
**Listed:** 2026-03-24

[View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/telmai/forward-deployed-customer-engineer-enterprise-88608)

## Job description

### **About the Role**

Telmai customers move through three stages after purchase:

1.  **Install** in their VPC,
2.  **Configure** data sources and catalogs,
3.  **Adopt** profiling, monitors, and automated validation.

This role is responsible for **accelerating all three** for large enterprise customers. You will be the technical owner who ensures Telmai is deployed, integrated, and delivering value fast.

### **What You’ll Do**

**Implementation & Activation**

-   Guide customers through automated deployment in **AWS, Azure, or GCP**
-   Provide hands-on cloud/network/security support when needed
-   Integrate Telmai with customer ecosystems (GCS, S3, ADLS; BigQuery, Snowflake, Databricks; Atlan, Alation, Collibra; Iceberg, Delta, Hudi)
-   Configure assets, profiling, rules, lineage, and validation flows
-   Build small utilities or synthetic datasets to speed onboarding

**Data Reliability Outcomes**

-   Enable automated validation across landing → transform → consumption layers
-   Diagnose issues such as schema drift, null spikes, volume anomalies, invalid values, or rule failures
-   Work with engineering, analytics, governance, and business teams to align on quality goals
-   Demonstrate improvements in data reliability and trust

**Customer Leadership**

-   Run workshops, stand-ups, and weekly sessions
-   Navigate enterprise org structures and unblock cross-team dependencies
-   Communicate clearly with both technical and executive stakeholders
-   Act as the primary technical owner for post-sales success

**Influence Product**

-   Bring deployment insights back into product and engineering
-   Inform roadmap areas (validation automation, lakehouse integrations, AI-agent workflows)
-   Help build playbooks and best practices for future implementations

### **What We’re Looking For**

**Background & Skills**

-   4–6 years in a customer-facing engineering role (FDE, SA, CE, consulting engineer)
-   Strong data architecture and pipeline fundamentals
-   Hands-on cloud experience (AWS, GCP, or Azure)
-   Experience with lakehouse/warehouse ecosystems
-   Familiarity with data lakes, cloud storage, catalogs, or metadata systems
-   Comfortable leading multi-stakeholder enterprise conversations

**Traits & Mindset**

-   AI-first and highly adaptable
-   Customer-obsessed and outcome-driven
-   High ownership, bias for action, and low-ego collaboration
-   Comfortable with ambiguity and fast-moving startup environments

**Nice-to-Haves**

-   Experience with DQ/observability or metadata platforms
-   Iceberg/Delta/Hudi familiarity
-   Python/SQL for quick utilities
-   Exposure to regulated industries (FSI, healthcare, insurance)

### **Why Join Telmai**

-   **Founding impact:** Help shape Telmai’s customer engineering function
-   **High visibility:** Work directly with the founders
-   **Enterprise momentum:** Deploy Telmai at brands like McDonald’s and Fortune 500s
-   **AI + Data inflection point:** Build on top of Telmai’s new **Data Reliability Agent**
-   **Low bureaucracy:** High trust, fast decisions, real ownership

* * *

### Interview Process

Intial meeting with hiring manager to understand interest and technical skills

Meeting with Sales Engineer for customer management skills

Interview with both founders and small working exercise.

## Other open roles at Telmai

- [Technical Sales Engineering](https://zerogtalent.com/ai-jobs/telmai/technical-sales-engineering-91092) — US / CA / Remote (US; CA)

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