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Forward-Deployed Customer Engineer (Enterprise)

Telmai, Remote (US)

Posted pay

Pay not posted

Location: Remote (US)
Work type: Remote
Level: Not given
Experience: 4+ years
Skills in the job text: Python
AWS
SQL
GCP
Azure
BigQuery
Databricks
Snowflake
Posted: Jan 14, 2026
Last check: 3 h ago
Job type: Solutions engineering, Software engineering

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What you need

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

Nice to have

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

Telmai customers move through three stages after purchase

Install in their VPC,
Configure data sources and catalogs,
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.

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

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

About 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

Read the job posting on the Telmai site

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Source: the Y Combinator job board. We last checked this job 3 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now.

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