Forward Deployed Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and deploy tailored integrations on Nadia's standard frameworks, linking ServiceNow, Snowflake, custom data lakes, and internal APIs or SFTP feeds.

• Engage directly with customer engineers, data proprietors, and IT to gain access, establish field mappings, and test actual data.

• Take full ownership of data quality from start to finish, addressing identity matching, unit and definition drift, duplicates, late and restated data, terminations, and deletions.

• Enforce privacy and works-council obligations with allowlisted fields, country-specific regulations, least-privilege access, and proper data deletion practices.

• Manage delivered integrations by configuring monitoring and alert systems, resolving incidents, and transferring runbooks to the Support team.

• Utilize coding agents and LLM knowledge to enhance customer-data grounding for Nadia's coaching and assess outcomes.

• Partner with Core Engineering to convert recurring custom tasks into reusable connectors and libraries.

• Spot expansion possibilities and present them to account teams with a clear technical outline.

• Execute, manage, and standardize customer implementations as a pioneering Forward Deployed Engineer.

• Collaborate with Engineering on a daily basis alongside account teams for assigned accounts.

⛳️ Requirements

• Over 4 years of experience as a software engineer, including at least 2 years focused on creating integrations or data pipelines utilized by customers in production.

• Proficient in Python or TypeScript.

• Ability to write clean, tested, and maintainable code.

• Familiarity with REST and SOAP APIs, pagination and rate limits, OAuth and service accounts, SFTP and batch file feeds, webhooks, incremental sync, and idempotency.

• Experience in data modeling, encompassing identity, unit, and duplicate problem detection.

• Proven ability to work directly with customers' technical teams.

• Experience in production environments with logging, retries with backoff, alerting, and runbooks.

• AI literacy, including regular use of coding agents and comprehension of LLM context, grounding, evaluation, and failure modes.

• A mindset focused on privacy and security, including least privilege, data minimization, and data residency.

• Familiarity with Workday, ServiceNow, Snowflake, or Databricks APIs and data models is a plus.

• Experience with Microsoft Azure, Teams apps, or Microsoft 365 is advantageous.

• Experience in creating evaluation sets or quality checks for LLM features is beneficial.

• Background as a forward deployed, solutions, or implementation engineer is an asset.

• Understanding of EU employee-data regulations such as GDPR or works agreements is a valuable addition.

• Capability to work remotely within the United States.

• Successful completion of employment, education, identity, and other verification checks.

• No concurrent full-time employment; any external professional work must be disclosed and approved.

🏝️ Benefits

• Comprehensive health coverage (medical, dental, vision) from day one.

• Generous paid time off (PTO).

• Company-wide rest and relaxation shutdowns.

• Paid parental leave.

• Retirement plan support for both US and global employees.

• Meaningful ownership in a venture-backed enterprise.

• Additional grants as the company grows and performance is outstanding.

• Direct involvement in projects that define the company’s trajectory.

• Collaborate closely with the executive team with insight into strategy and decision-making processes.

• Influence the direction of the company through real-time customer feedback and market analysis.

• Work directly with state-of-the-art AI models and next-generation platforms.

• Gain experience in global enterprise AI implementations.

• Recognition as a leader in shaping AI's influence on work.