Forward Deployed Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 15%

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Valence

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

👥 HR Tech

☁️ SaaS

💰 $50M Series B - Valence on 2025-09

Artificial Intelligence • HR Tech • SaaS

Valence is a company focused on how artificial intelligence is changing the way organizations work. It publishes research and viewpoints, runs events (e. g. , an AI & The Workforce Summit), offers resources and newsletters for talent leaders and CHROs, and appears to operate a product called “Nadia” (with coaching-focused features and a login/book-a-demo flow). Valence positions itself at the intersection of AI, workforce/HR transformation, and practical adoption guidance for enterprises.

📋 Description

• 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

• 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

• 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

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