About Us Simbian® is building Agentic AI platform for cybersecurity. Founded by repeat successful security founders, we have gathered an excellent cohort of employees, partners, and customers. Our mission is to solve security using AI and our core values are excellence, replication, and intellectual honesty.
Our promise is to make Simbian the best workplace of your career and we believe a small group of thoughtful passionate people can make all the positive difference in the world. To fuel our fast growth, we are seeking an exceptional candidate who shares our core values of excellence (being the world's best at our craft), replication (share your best ideas with others), and intellectual honesty (tell the truth even if it's bitter).
Our AI Agents automate security operations and provide our customers 10x leverage. Our customers include some of the world's largest companies.
Our initial use cases include: SOC alert triage and investigation Prioritization and classification of vulnerabilities AI based threat hunting
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 backends, 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: 1. Scalable microservices 2. 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 in security domain, 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
Budget- under 90L annually