Lead Forward Deployed Engineer

Overview

Lead the technical approach for the most complex and strategic customer accounts, delivering hands-on engineering from deployment through scaled everyday use, and building reusable patterns that help the wider Forward Deployed Engineering team move faster.

What you'll do

• Own technical delivery for the most complex customer accounts, from deployment through scaled, everyday use
• Lead deployments across hybrid environments, including cloud, on-premises, Kubernetes, containers, Linux, and related infrastructure
• Define solution architecture for customers with complex data estates, security needs, and business requirements
• Adapt platform behavior when standard configuration does not fully match the customer's data, workflows, or risk model
• Build and operate integrations across customer systems, including identity, SIEM, ITSM, data platforms, APIs, and downstream tools
• Diagnose and resolve deep technical issues across data, deployment, infrastructure, and integration layers
• Build reusable agents, automations, tools, and playbooks that help the broader FDE team deliver faster and with higher quality
• Turn manual customer outcomes into repeatable workflows for remediation, alerting, reporting, and operational follow-up
• Lead architecture and design sessions with customer executives, security and privacy leaders, business teams, and engineers
• Mentor other FDEs by reviewing solutions, sharing patterns, and helping unblock complex technical work
• Partner with Sales Engineering, Product, and Engineering on strategic POCs, customer escalations, and product feedback from the field

What you'll need

• 8–12+ years of experience in deeply technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting
• Strong software engineering skills in at least one language, such as Python, Go, or TypeScript, with the ability to read unfamiliar code and understand complex systems quickly
• Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud
• Experience deploying and operating solutions across complex cloud, hybrid, and on-premises enterprise environments
• Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data
• Experience building practical technical solutions, such as data pipelines, custom classifiers, integrations, automations, agents, or internal tools
• Strong fluency with AI-native developer tools, agents, and automation, including creating reusable workflows that help others move faster
• Strong customer presence, with the ability to build trust with executives, business leaders, and engineering teams
• Working knowledge of data security, privacy, and regulatory topics across industries and geographies
• High ownership, strong critical thinking, and the ability to bring structure to complex problems without a clear playbook

Nice to have

• Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains
• Experience building or heavily using AI agents, agentic coding assistants, MCP, or RAG systems
• Familiarity with regulatory frameworks such as GDPR, SOC 2, or ISO 27001, especially across multiple geographies
• Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery
• Knowledge of access control, encryption, masking, or other data protection controls in enterprise data systems
• Experience mentoring senior technical contributors or setting delivery standards in fast-paced, distributed teams

Details

• Location: San Jose, CA office, 3 days in office per week
• Work mode: Hybrid (3 days in office)