Forward Deployed Engineer

Valence

. Build and ship custom integrations on Nadia's standard pipes, connecting ServiceNow, Snowflake, custom data lakes and internal APIs or SFTP feeds .

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping custom integrations, ensuring data quality and compliance with privacy regulations. Proficient in collaborating with technical teams and utilizing coding agents for effective data management.

Highest-signal resume keywords

Python ProgrammingData Pipeline DevelopmentREST And SOAP APIsData ModelingAI Fluency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptData Pipeline DevelopmentData ModelingLoggingAlertingOAuthSFTPIncremental SyncIdempotency

Soft Skills

CollaborationCustomer EngagementProblem Solving

Tools & Technologies

ServiceNowSnowflakeDatabricksMicrosoft AzureMicrosoft 365

Industry Keywords

GDPRData ResidencyData MinimizationPrivacy ComplianceWorks Agreements

Tech Stack

Tools & technologies

AzurePythonServiceNowSnowflakeSOAPTypeScript

About the role

Key responsibilities & impact

Build and ship custom integrations on Nadia's standard pipes, connecting ServiceNow, Snowflake, custom data lakes and internal APIs or SFTP feeds
Work hands-on with customer engineers, data owners and IT to obtain access, agree field mappings and test real data
Own data quality end to end, including identity matching, unit and definition drift, duplicates, late and restated data, terminations and deletions
Implement privacy and works-council commitments with allowlisted fields, per-country rules, least-privilege access and clean deletion
Run shipped integrations by setting up monitoring and alerting, handling incidents and handing over runbooks to Support
Use coding agents and LLM knowledge to shape customer-data grounding for Nadia's coaching and evaluate results
Collaborate with Core Engineering to turn repeated custom work into reusable connectors and libraries
Identify expansion opportunities and bring them to account teams with a clear technical picture
Deliver, operate and standardize customer implementations as a founding Forward Deployed Engineer
Work in Engineering day to day with account teams on assigned accounts

Requirements

What you’ll need

4+ years as a software engineer, including 2+ years building integrations or data pipelines depended on by customers in production
Strong Python or TypeScript skills
Clean, tested, maintainable code
Experience with REST and SOAP APIs, pagination and rate limits, OAuth and service accounts, SFTP and batch file feeds, webhooks, incremental sync and idempotency
Data modeling experience, including identity, unit and duplicate problem detection
Experience working directly with customers' technical teams
Production experience with logging, retries with backoff, alerting and runbooks
AI fluency, including daily use of coding agents and understanding of LLM context, grounding, evaluation and failure modes
Privacy and security mindset, including least privilege, data minimization and data residency
Experience with Workday, ServiceNow, Snowflake or Databricks APIs and data models is nice to have
Experience with Microsoft Azure, Teams apps or Microsoft 365 is nice to have
Experience building eval sets or quality checks for LLM features is nice to have
Experience as a forward deployed, solutions or implementation engineer is nice to have
Experience with EU employee-data requirements such as GDPR or works agreements is nice to have
Ability to work remotely in the United States
Successful employment, education, identity and other verification checks
No concurrent full-time employment; outside professional work must be disclosed and approved

Benefits

Comp & perks

Comprehensive health coverage (medical, dental, vision) from day one
Generous PTO
Company-wide R&R shutdowns
Paid parental leave
Retirement plan support for US and global employees
Meaningful ownership in a venture-backed company
Top-up grants as the company scales and performance is exceptional
Direct responsibility for company-defining projects
Work alongside the executive team with transparency into strategy and decision-making
Influence on direction through real-time customer feedback and market insights
Work directly with cutting-edge AI models and next-generation platforms
Global enterprise AI implementation experience
Recognition as a leader in shaping AI's impact on work