Engineering Manager

Job Description

This is a remote position.

As an Engineering Manager , you will lead a pod of highly skilled engineers responsible for building critical components of Simbian’s platform—from scalable backend services and data pipelines to integrations with security tools and novel AI-driven investigation engines. You’ll be responsible for driving execution, mentoring engineers, and shaping technical direction while working closely with product, AI / ML, and security teams.

This role is ideal for a hands-on leader who thrives in startup environments, is comfortable balancing execution with strategy, and can guide engineers to build reliable, secure, and scalable systems.

Responsibilities

Lead and mentor a pod of backend, frontend, or platform engineers (depending on pod assignment : e.g., Integrations, Investigation Infra, Threat Hunting, etc.).

Drive delivery of product and platform features aligned to quarterly OKRs.

Establish engineering best practices for code quality, observability, security, and reliability.

Collaborate with product managers and security SMEs to define technical scope, execution plans, and delivery timelines.

Provide technical guidance in architecture decisions across areas such as :

Scalable microservices

Security product integrations (EDR, SIEM, CNAPP, etc.)

Data pipelines (historical + real-time event ingestion)

AI / ML systems for reasoning and automation

Recruit, develop, and retain top engineering talent.

Ensure pods maintain a high bar for innovation, execution, and collaboration.

Requirements

• 12+ years of professional software engineering experience, with at least 3+ years leading or managing engineering teams.
• Strong background in building scalable backend systems (Python, Go, or Java preferred).
• Experience with cloud-native architectures (Kubernetes, Postgres, vector databases, OpenSearch, etc.).
• Familiarity with data pipelines (ETL / ELT, orchestration frameworks like Dagster / Airflow, streaming systems).
• Exposure to security products and data (SIEM, EDR, CNAPP, vulnerability management) is a strong plus.
• Track record of leading pods / teams to deliver complex technical projects with measurable outcomes.
• Strong communication skills, with the ability to work cross-functionally with product, AI / ML, and security teams.
• Startup mindset : bias for execution, ability to operate with ambiguity, and eagerness to wear multiple hats.

Nice to Have

Experience with AI / ML pipelines, LLM integration, or security-focused AI applications.

Knowledge of SOC processes, MITRE ATT&CK, or incident response workflows.

Contributions to open-source projects in data, security, or AI.

Previous experience scaling teams at an early-stage startup.

Benefits

Competitive salary commensurate with experience

Generous early-stage equity with significant upside potential

Annual performance bonuses tied to company and individual goals

Comprehensive health coverage : Medical, dental, and vision insurance

Requirements

7+ years of professional software engineering experience, with at least 2+ years leading or managing engineering teams. Strong background in building scalable backend systems (Python, Go, or Java preferred). Experience with cloud-native architectures (Kubernetes, Postgres, vector databases, OpenSearch, etc.). Familiarity with data pipelines (ETL / ELT, orchestration frameworks like Dagster / Airflow, streaming systems). Exposure to security products and data (SIEM, EDR, CNAPP, vulnerability management) is a strong plus. Track record of leading pods / teams to deliver complex technical projects with measurable outcomes. Strong communication skills, with the ability to work cross-functionally with product, AI / ML, and security teams. Startup mindset : bias for execution, ability to operate with ambiguity, and eagerness to wear multiple hats. Nice to Have Experience with AI / ML pipelines, LLM integration, or security-focused AI applications. Knowledge of SOC processes, MITRE ATT&CK, or incident response workflows. Contributions to open-source projects in data, security, or AI. Previous experience scaling teams at an early-stage startup.