WorkOS

Engineering Manager

• Lead the Dashboard engineering team across customer onboarding and growth, billing and monetization, and AI assistance
• Build and lead a high-velocity team that ships polished product quickly
• Read pull requests, write prototypes, and work with technical leads on architecture and project scope
• Shape the roadmap with product managers, design, go-to-market, finance, and engineering
• Identify customer problems, propose directions, and drive product decisions from problem definition through outcome measurement
• Improve the customer journey from signup to production and expansion using product signals and customer feedback
• Balance rapid product iteration with billing reliability and correctness and high-quality AI assistance
• Drive clarity, focus, urgency, and sustainable execution
• Spend time with customers and engineers to investigate pain points, test assumptions, and improve engineering craft
• Coach, mentor, and grow engineers through feedback, goals, and ownership
• Partner with recruiting to attract, hire, and retain exceptional engineering talent
• Build growth and onboarding capabilities for developers
• Develop annual-credit, automated billing, pricing, usage, and credit visibility features
• Coordinate Dashboard Agent, WorkOS MCP server, Ask WorkOS, and Support Bot experiences with shared retrieval, evaluations, and quality standards

Engineering Manager – Dashboard

Infrastructure Engineer

• Build workload identity infrastructure that makes short-lived identity credentials a default part of every application's runtime environment.
• Bring identity-based authentication to internal services using identity certificates and establish them as the golden path for new applications.
• Drive migration of existing internal services from legacy authentication approaches.
• Replace static passwords and service tokens with short-lived identity credentials.
• Build identity-authenticated egress proxies and API abstractions that inject and automatically rotate managed secrets for external dependencies.
• Build a unified interface and framework for centrally managing and enforcing authorization policies.
• Partner with application platform owners and internal dependency owners.
• Drive adoption across engineering teams while making security frictionless.

Software Engineer – Infrastructure Security

Security Engineer

• Partner with engineering teams on secure design and code reviews
• Identify and prioritize security risks early in the product lifecycle
• Develop paved paths and systems that make secure development the easiest path
• Conduct penetration tests and code audits on new and existing products
• Integrate and improve static analysis, supply chain security, and vulnerability management across engineering pipelines
• Operate and automate the responsible disclosure program, validate submissions, and coordinate remediation
• Write and ship production code to remediate vulnerabilities and improve product security posture
• Engage directly with customers on security-related questions and concerns

Product Security Engineer

Data Engineer

• Own reliability, freshness, and scaling of ingestion and orchestration pipelines landing source data in Snowflake
• Develop monitoring, alerting, runbooks, and backfill/reprocessing patterns
• Design, build, and scale Bronze, Silver, and Gold dbt models for billing, usage, CRM, product events, and GTM funnel reporting
• Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse
• Diagnose and resolve data quality and freshness issues at the source
• Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts
• Review DDL and access requests from Engineering and GTM
• Own reverse-ETL systems and runbooks delivering warehouse data to Salesforce, Slack, and internal agents
• Extend semantic views, context, and evaluations for accurate agent responses
• Expand agent-operated workflows from runbooks and ingestion to pull requests
• Build and advance CI/CD review gates in the data-platform monorepo
• Own compute, deployments, secrets, access patterns, and environments for the data platform
• Partner with infrastructure engineers on availability and failure modes
• Standardize Postgres and SaaS ingestion and consolidate pipeline deployment in Prefect
• Manage Snowflake RBAC, resource management, and masking policies as code with Terraform
• Automate masking coverage, Identity Graph matching, transcript aggregation, PII detection, reverse-ETL frameworks, and runbooks
• Run self-hosted data services on Kubernetes and manage AWS resources as code with Terraform