Forward Deployment Engineer

We are seeking a Forward Deployment Engineer (FDE) to serve as a technical leader and strategic owner of customer outcomes in complex enterprise environments.

Forward Deployment Engineers operate at the highest level of customer impact - leading architecture, driving execution, and ensuring customers realize measurable business outcomes from their data, security, and AI investments. You will embed deeply within enterprise customers to design, deploy, and scale Securiti’s platform across complex data, security, and AI ecosystems.

This role blends advanced systems architecture, software engineering, and executive-level customer leadership. You will operate with high ownership, navigating ambiguity and driving solutions from problem definition through production and scale.

FDEs are responsible not just for delivery, but for defining how success is achieved - shaping both customer outcomes and internal product direction.

What You’ll Do

Customer Deployment & Ownership

Own and lead complex, multi-phase deployments across cloud (AWS, Azure, GCP) and on-prem environments

Drive end-to-end customer outcomes, from initial architecture through production scale

Embed as a senior technical stakeholder within customer engineering and leadership teams

Resolve critical technical challenges across infrastructure, networking, and data systems

Solution Architecture & Strategy

Design and own scalable architectures for data discovery, classification, governance, and AI use cases

Define implementation strategies for large-scale, enterprise deployments

Translate ambiguous business problems into structured technical solutions and ensure performance, scalability, and reliability across production systems

Integration & Advanced Engineering

Lead complex integrations across customer ecosystems using APIs, workflows, and automation

Design and develop advanced custom integrations and “glue code” to bridge platform and legacy systems

Guide data pipeline design, ETL processes, and system interoperability at scale

Establish best practices for automation, scripting, and system extensibility

Customer Leadership & Executive Engagement

Own the technical relationship with customers, including senior engineering and executive stakeholders

Lead architecture workshops, design sessions, and executive-level technical discussions

Influence customer strategy and guide decision-making for high-impact initiatives

Drive alignment across stakeholders to ensure successful delivery and adoption

Cross-Functional Influence

Partner closely with Product, Engineering, Sales, and Support teams to align execution with strategic goals

Serve as a key voice of the field, influencing product roadmap, prioritization, and architectural direction

Drive development of reusable frameworks, accelerators, and best practices across the organization

Mentorship & Practice Development

Mentor and guide Forward Deployment Engineers and junior team members

Elevate team capabilities through knowledge sharing, code reviews, and architectural guidance

Contribute to building a high-performance engineering culture within Professional Services

Documentation & Enablement

Develop advanced technical documentation, architectural standards, and deployment frameworks

Enable customers, partners, and internal teams through structured knowledge transfer

What You’ll Bring

5–8+ years in a customer-facing technical role with strong ownership of architecture and delivery (FDE, Solutions Architect, PS Engineer, Consultant, etc.)

Deep experience with cloud platforms (AWS, Azure, GCP) and enterprise infrastructure and strong expertise in Kubernetes, containers, and Linux systems

Advanced proficiency in scripting and automation (Python, JavaScript, or similar)

Experience designing and implementing large-scale system integrations using APIs and distributed architectures

Strong understanding of SQL/NoSQL databases and unstructured data systems

Solid understanding of data security, privacy, governance, and compliance concepts

Experience with data access control, encryption, or masking within enterprise data platforms (e.g., Snowflake, Databricks, BigQuery)

Proven ability to operate in highly ambiguous environments and independently drive solutions end-to-end

Strong problem-solving skills with ability to handle high-severity, complex technical challenges

Excellent communication skills, including ability to engage with executive stakeholders

Nice-to-Have

Experience with AI/ML systems, Generative AI, or RAG-based architectures

Background in data governance, DLP, DSPM, or privacy platforms

Experience with enterprise-scale distributed systems and large data environments

Familiarity with regulatory frameworks (GDPR, SOC2, ISO 27001, etc.)

Experience with enterprise data platforms (e.g., Snowflake, Databricks, BigQuery)

Familiarity with enterprise tooling ecosystems (e.g., ServiceNow, Elastic)

What Success Looks Like

Large-scale customer deployments are successfully delivered and scaled within defined timelines

Complex enterprise challenges are translated into scalable, repeatable architectural patterns

High-impact use cases drive measurable business outcomes (risk reduction, compliance, operational efficiency)

Customers achieve deep adoption, expansion, and long-term strategic partnership

Field insights consistently influence product roadmap, architecture, and company strategy

WR:CR

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