Simbian Inc

Role Description We're building AI that does offensive security work. Not assists with it - actually does it. We're looking for a Red Teamer who brings deep, hands-on attack expertise and wants to turn that knowledge into AI-powered products. This is not a role where you run red team engagements. You are the expert who makes our AI agents think and act like skilled attackers - across whatever domain we're building in. What You'll Do - Be the offensive security brain behind our AI agents - defining how they reason, plan, and execute across attack scenarios. - Translate attacker methodology into structured workflows the AI can learn from and act on. - Cover the breadth of offensive security: network and web pentesting, phishing and social engineering, cloud and infrastructure attacks, adversary emulation, threat intelligence. - Validate product output against what a skilled human attacker would actually do - close the gap when the AI falls short. - Research emerging techniques across the offensive security landscape and get them into the product. - Work closely with engineering to improve agent accuracy, realism, and coverage. - Document attack logic, edge cases, and findings in ways that feed back into the product. Qualifications - 3-6 years in offensive security, red teaming, or penetration testing. - Strong offensive security background across multiple domains: web, network, cloud, social engineering, or adversary simulation. - Real-world experience: pentesting, bug bounty, red team engagements, CTFs, or security research. - Ability to break complex attack chains into structured, repeatable steps. - Someone who thinks in attacker TTPs, not just tools. - Curiosity about AI and genuine interest in building with it, not just using it. Requirements - Experience with LLMs, agentic systems, MITRE ATT&CK, or security automation (bonus). - Working knowledge of prompt injection, jailbreaking techniques, and OWASP Top 10 for LLMs (bonus). - CEH, OSCP, or equivalent - preferred, not required. Benefits - Work on a problem most security teams haven't even defined yet. - Direct impact on product - your findings shape what we build. - Remote-first, async-friendly culture. - Competitive comp + equity at an early-stage AI security company. - Work alongside people who've shipped security products.

Role Description You will design and build foundational pieces of our agentic security platform, from AI agents that investigate real incidents to the distributed systems that keep them fast, safe, and reliable for dozens of security teams. You’ll work closely with founders, product, and security experts to turn messy real‑world Security operations like SOC, ThreatHunt, Pentest, Security device management etc. into elegant, scalable product experiences. You may own one vertical deeply or work across several in the same project when needed. In your first few months, you will: - Own end-to-end design & delivery of features you take up - Ship platform, agent, or integration capabilities at high velocity - Collaborate not just with product & engineering leaders, but also sales, marketing, and customer-facing teams to shape what we build and why - Deploy features into live production environments, with ownership beyond delivery — including monitoring, stability, and iteration post-launch Your work may include: AI + Agent Systems - Building agents for SecOps → Develop autonomous agents that investigate alerts, triage threats, respond, and close cases with minimal human input. - Designing tool schemas, workflows, memory stores for agents → Define structured tool interfaces, execution paths, and long-term memory for reasoning across tasks. - LangGraph based flows for agents (or another agentic framework) → Build multi-step agent workflows with branching logic, retries, validation, and conditional tool calling. - Safe-execution loops with guardrails, policy layers, and approvals → Ensure agents operate within risk boundaries using policy controls and human-review checkpoints. Platform & Architecture - Building high-scale, multi-tenant backend systems → Architect services that securely support many customer environments in parallel without resource collisions. - Designing ingestion, indexing & agent memory retrieval layers → Build pipelines that ingest customer security data, store it as agent-accessible memory, and retrieve relevant context instantly. - Implementing evaluation pipelines & scoring frameworks for agents → Measure agent quality using scoring metrics, test harnesses, regressions, and continuous feedback signals. - Distributed execution, traceability, observability & data quality → Enable high volume workloads with strong logging, metrics, monitoring, and correctness guarantees. Security & Product Engineering - Real-time incident lifecycle automation end-to-end → Automate detection → enrichment → investigation → response with minimal human touch. - Attack simulation & golden dataset creation → Generate controlled attack scenarios to evaluate agents and build benchmark datasets for continuous improvement. - SIEM, SOAR, EDR, NDR style integrations → Integrate with enterprise security products, ingest telemetry, push remediation actions, and unify signals across the stack. This is a place where engineers ship, own, iterate, observe, and improve. Qualifications - Think in systems - Like solving undefined problems, not following tickets - Understand distributed systems + AI fundamentals deeply - Enjoy reading RFCs, research papers & learning new tech Requirements - Strong backend development experience (Python/Go/Node preferred) - Solid understanding of distributed systems fundamentals - Experience with microservices, async execution, event streams - Familiarity with cloud infra (AWS/GCP/Azure), containers, CI/CD - Ownership mindset — ability to take a problem from zero → shipped - Bonus / Great to Have - Worked on SIEM, SOAR, EDR platforms OR cyber security data pipelines - Knowledge of RAG, vector DBs, embeddings, Eval frameworks - LangChain / LangGraph / agent implementations - Obsessed with writing clean tests, docs, and elegant abstractions - PS: WE ARE VERY PARTICULAR ABOUT YOUR PEDIGREE. WE WILL PREFER IF YOU HAVE STUDIED FROM IIT'S, BIT'S, VIT, AND NIT Benefits - Build an AI-first SOC platform from scratch - Work directly with founders/leaders on architecture, product direction. - Ship fast, learn fast, own deeply - Be there early — where impact compounds

Role Description You will design and build the foundational development & infrastructure powering our agentic security platform — secure multi-tenant systems, distributed services, scalable execution layers, and the internal platform capabilities that allow our AI agents to operate reliably in production environments. You’ll work closely with founders, product, AI, and security engineering teams to build systems that are secure, observable, resilient, and scalable from day one. This role is ideal for engineers who think deeply about distributed systems, platform architecture, reliability, infrastructure, and backend scalability. In your first few months, you will: - Own end-to-end design and delivery of platform capabilities - Build and scale distributed backend services powering AI agents and customer workflows - Improve authentication, authorization, and tenant isolation across the platform - Design infrastructure and observability systems for reliability at scale - Deploy and operate production-grade systems with strong ownership beyond launch - Collaborate cross-functionally with engineering, product, customer-facing teams, and leadership to shape platform architecture and engineering standards Qualifications - 6+ years of strong backend or platform engineering experience - Strong understanding of distributed systems fundamentals - Experience designing and operating microservices at scale - Experience with authentication and authorization systems (OAuth, RBAC, JWT, SSO, IAM, etc.) - Strong knowledge of cloud infrastructure (AWS/GCP/Azure), containers, and CI/CD systems - Experience with observability tooling, monitoring systems, logging, tracing, and production debugging - Familiarity with asynchronous systems, queues, event streams, and workflow orchestration - Strong coding experience in Python, Go, Java, or Node.js - Ownership mindset — ability to take systems from concept → production → scale Requirements - Experience working on platform engineering or internal developer platforms - Experience with Kubernetes, Kafka, OpenTelemetry, Prometheus, Grafana, or similar tooling - Experience building multi-tenant SaaS platforms Benefits - Work with pioneering agentic AI security—impact global security teams. - Shape infrastructure for privacy-first technology in a high-growth startup. - Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement.

Role Description We are seeking a highly motivated and enthusiastic Business Development Representative (BDR) to be the engine of our sales team. In this role, you will be the first point of contact for potential customers, responsible for generating and qualifying leads that will drive our revenue growth. The ideal candidate is a fearless communicator with a hunter mentality, who excels at building initial rapport and identifying promising business opportunities. You will be a critical part of the team, responsible for filling the pipeline for our Account Executives. Please note: This is a remote position that requires you to be available and actively working during standard US business hours to connect with our primary client base and collaborate with the US-based sales team. Key Responsibilities - Outbound Prospecting: Proactively research and identify potential clients through various channels, including cold calls, targeted email campaigns, LinkedIn Sales Navigator, and other lead-generation tools. - Lead Qualification: Engage with inbound and outbound leads to understand their needs, challenges, and goals. Skillfully qualify them against our ideal customer profile to ensure they are a good fit for our solutions. - Appointment Setting: Your primary goal is to schedule high-quality discovery meetings and product demonstrations between qualified prospects and our Account Executives. - Pipeline Generation: Build and maintain a healthy pipeline of interested prospects to ensure our sales team consistently meets its targets. - CRM Management: Meticulously track all prospecting and lead generation activities in our CRM (HubSpot), ensuring all data is clean, accurate, and up to date. - Achieve Targets: Consistently meet and exceed monthly and quarterly quotas for key activities and qualified opportunities generated. - Collaboration: Work closely with both sales and marketing teams to provide feedback on campaign effectiveness, messaging, and market intelligence. Qualifications - Experience: 1-3+ years of experience in a BDR, Sales Development Representative (SDR), or a similar client-facing role in the US market. - Excellent Communication: Outstanding verbal (US accent) and written communication skills. You must be confident, articulate, and fearless on the phone and in your emails. - Resilience & Coachability: A positive attitude, a strong sense of resilience in the face of rejection, and a deep desire to learn and improve. - Tech-Savvy: Proficient with Outlook/Gsuite and comfortable learning new sales technologies. Experience with CRM is a must. - Goal-Oriented: A self-starter with a strong work ethic and a drive to consistently achieve and exceed measurable goals. - Time Zone Commitment: Must be willing and able to work full-time during standard US business hours (e.g., 9 AM - 5 PM Eastern or Pacific Time). Preferred Qualifications - Bachelor's degree in business, Communications, or a related field. - Hands-on experience with sales engagement platforms (e.g., Outreach, SalesLoft, Apollo.io) and prospecting tools (e.g., ZoomInfo, Lusha). - Prior experience in a B2B SaaS or technology environment. Benefits - Competitive salary commensurate with experience - Generous early-stage equity with significant upside potential - Comprehensive health insurance - Annual performance bonuses tied to company and individual goals

This is a remote position. It’s an exciting time to be in Security Operations. Across the world, organizations are reimagining their Security Operations using AI. Simbian has been at the forefront of this change. Simbian’s innovative and multi-pronged approach has been recognized several times by Gartner and IDC. Some of the largest enterprises and MSSPs use Simbian’s AI Agents in their security operations. We are looking for a hands on Product Management leader with experience with the SOC, Threat Hunting, Penetration testing, Red teaming. In this role you will scale our success 10x, while continuing to innovate using the latest advances in AI. Simbian’s company values are Excellence, Replication, and Intellectual Honesty. We have assembled a highly talented team worldwide, who pushes hard every day. If this aligns with your values, let’s talk! What you will do - You will stay on top of advances in AI and how Simbian can use them to make security operations easier, faster, more accurate. - You will own the product roadmap for one or more of our AI Agents, and drive it to reality in partnership with Engineering, Design, Marketing, Sales, Founders. - You will distill customer feedback and drive solutions. - You will co-own GTM with the marketing and sales teams and continuously evolve the best way to land the product in the market. - You will track competitors and partners to ensure Simbian’s offerings stay differentiated. Requirements - 10+ years of experience in building software products. - 5+ years of experience as a practitioner or as a Product Manager in Detection Engineering, SOC, Threat Hunting, Threat Intelligence, or Offensive Security. - You are a first-principles thinker who challenges status quo. - You have the ability to deeply understand what it means to walk in the shoes of your customers. - You are good at communicating at different altitudes – internal engineers, users, CXOs. - You have a strong sense of ownership. You own and measure the outcomes. 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 - Unlimited Paid Time Offs

Role 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. - 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: - 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 Qualifications - 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 - Knowledge of SOC processes, MITRE ATT&CK, or incident response workflows Requirements - Experience with AI/ML pipelines, LLM integration, or security-focused AI applications - 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