--- title: 'Senior Security Engineer - Cloud & AI Platform at Ema' canonical: 'https://feeny.ai/job/senior-security-engineer-cloud-ai-platform-ema-bengaluru-4t63qq870y16' type: 'job' last_seen: '2026-10-21' --- # Senior Security Engineer - Cloud & AI Platform at Ema - **Company:** Ema - **Location:** Bengaluru, India - **Employment:** full-time - **Posted:** 2026-10-15 - **Last confirmed live:** 2026-10-21 - **Apply:** https://jobs.ashbyhq.com/ema/f0865fe6-cd4c-449e-a564-80acde241a4f ## Job description ## About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Ema builds AI agents that act on sensitive enterprise data and systems. You’ll make sure the agents, and the platform they run on, are secure by design. You’ll build security controls for autonomous agents operating across multi-tenant enterprise environments, including cloud, on-prem and air-gapped deployments. You’ll solve zero-trust problems where the code isn’t static logic but non-deterministic models making live API calls against sensitive customer data. Our agents orchestrate 100+ LLMs, call third-party tools through MCP, execute code in sandboxes and drive headless browsers, and each of those is an attack surface you’ll help define. ## Role Overview ## What you’ll own AI and agent security - Threat model new AI agent features before launch: direct and indirect prompt injection, jailbreaks, data exfiltration through agent outputs, and over-privileged tool use - Design guardrails for agentic workflows: least-privilege tool and connector scopes, human-in-the-loop approvals for high-risk actions, and output filtering - Enforce tenant and data isolation across retrieval (RAG), context stores, and model calls, so no customer’s data leaks into another’s context - Secure the AI supply chain: model and provider vetting, third-party MCP servers and connectors, prompt and config versioning - Run AI red-team exercises and build automated adversarial tests (prompt injection suites) into CI Cloud and platform security - Security baselines for Kubernetes and cloud infrastructure: RBAC, network policies, workload identity, secrets management, per-tenant network isolation - Security in CI/CD: IaC scanning, SAST and dependency scanning, policy-as-code guardrails ## What you’ll contribute to - AI-aware detection with our current technology and tooling: logging prompts, tool calls and agent actions, and alerting on anomalous agent behavior - Partner with the Security & Compliance Lead on technical controls and evidence for SOC 2 Type II, ISO 27001, HIPAA and ISO 42001, plus the NIST AI RMF Must-haves - 5+ years in cloud security, application security, or DevSecOps (GCP/Azure Preferred) - Deep hands-on Kubernetes and cloud security experience - Security automation with IaC (Terraform/Helm) and Python or Bash. - A working understanding of LLM application risks (OWASP Top 10 for LLM Applications) and how agentic systems fail - Comfortable influencing engineers without formal authority Nice-to-haves - Hands-on experience securing LLM, RAG, or agentic systems in production - AI red teaming, or familiarity with MITRE ATLAS - CNAPP/CSPM tooling, SIEM/detection engineering - Contributions to AI security research, open-source tools, or CTFs Why Join Ema? - At the frontier of AI: Secure agentic systems that are driving real enterprise transformation. - Security is the product: Enterprise CISOs evaluate our security before they buy. Here it’s a core feature, not a checkbox. - Security as a peer, not a gate: You’ll report to the Security & Compliance Lead and partner directly with Engineering and Product leadership. You’ll sit in design reviews from day one and have a real say in what ships. - Ownership: Help set the baseline for enterprise trust in AI agents and shape the security DNA of a category-defining company. - Elite talent: Work with engineers and researchers from top-tier tech companies who value deep execution Ema's Culture & Values - High Bar on Quality: We value excellence and expect world-class execution. - Ownership & Accountability: We take full responsibility for our work and outcomes. - Impact-Driven Approach: We set ambitious goals and measure success through real-world impact. - No Hierarchy, Just Execution: Everyone is an individual contributor focused on delivering results. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics. ## About Ema ## Company Overview - **One-liner**: Ema provides a universal agentic control plane that enables enterprises to build, deploy, and scale autonomous AI agents to automate complex workflows across every business function. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: March 2023 - **Founders**: Surojit Chatterjee (Co-Founder & CEO), Souvik Sen (Co-Founder & CTO) ## Core Business - **Primary industry**: Enterprise AI Software / Generative AI / Agentic AI - **Target customers**: Large enterprises across healthcare, financial services, legal, and technology sectors (B2B, Enterprise) - **Mission or purpose statement**: To give business and IT leaders one place to build, deploy, and scale AI Agents across every function—HR, Finance, Sales, Customer Support, Legal, and beyond. The company believes the future of work is "humans multiplied by AI Employees," not humans replaced by AI. ## Products & Services - **Ema Universal Agentic Control Plane**: A platform for building, deploying, and scaling AI Agents across all enterprise functions. - **EmaFusion™**: A patented AI fusion layer that blends 100+ LLMs to optimize for accuracy, cost, and latency on every query, without vendor lock-in. - **GWE™ (Generative Workflow Engine)**: The orchestration core that breaks complex enterprise workflows into multi-agent steps, with built-in human-in-the-loop, audit trails, and async operations. - **Enterprise Context Graph**: Deep, permissioned memory across an organization's data, systems, and processes so every AI Employee knows the business from Day One. ## Market Standing - **Valuation**: Not publicly disclosed - **Total Funding**: $75 million (across multiple rounds) - **Seed Round** (March 2024): $25M led by Prosus Ventures and S32 - **Series A** (July 2024): $36M led by Accel and S32 - **Additional Series A** (March 2026): $14M from 9 investors - **Notable Investors/Partners**: Accel, S32 (Section 32), Prosus Ventures, Hitachi Ventures, KPMG (strategic investment) - **Growth Signals**: - Employee headcount grew 89.2% year-over-year to 155 people. - Operates in 6 countries (US, India, UK, Canada, UAE, Germany). - Trusted by global enterprises across highly regulated industries. - Holds certifications including ISO 42001 (world's first AI management standard), SOC 2 Type II, ISO 27001, and HIPAA. - Supports on-premises and air-gapped deployment, a significant differentiator for security-conscious enterprises. ## Competitive Advantages - **EmaFusion™ Technology**: A proprietary multi-model approach that blends over 100 LLMs, optimizing for accuracy, cost, and latency while avoiding vendor lock-in. - **Enterprise-Grade Security & Compliance**: One of the few agentic AI platforms that supports on-premises and air-gapped deployment, with certifications like ISO 42001, SOC 2 Type II, ISO 27001, and HIPAA. - **Deep Enterprise Integration**: Pre-integrated with 200+ enterprise systems, with a permissioned "Enterprise Context Graph" that provides deep, institutional memory. - **Strong Strategic Backing**: Backed by top-tier VCs (Accel, S32) and a strategic investment from KPMG, signaling strong enterprise credibility. ## Strategic Focus - **Product Expansion**: Continuing to build out the agentic AI platform to cover more enterprise functions and workflows. - **Enterprise Adoption**: Deepening relationships with large, regulated enterprises (healthcare, financial services, legal). - **Global Scale**: Expanding operations across key markets (US, India, UK, Canada, UAE, Germany) to support a global customer base. - **Trust & Compliance**: Maintaining and expanding certifications (ISO, SOC 2, HIPAA) to meet the highest enterprise security standards. ## Why Work Here - **Culture**: Ema describes itself as an "AI-first" company that hires "fewer people with a hunger and growth mindset" and augments the human workforce with AI employees. Core values include being innovative, trusted, relentlessly driven, and bold. - **Engineering Philosophy**: The company has a published "Engineering Manifesto" and emphasizes hiring "builders and creators." They believe a "10x team is better than a 10x individual" and operate with a "no wait, no boundaries" approach. - **Work Environment**: "Everyone builds" is a key principle—employees are expected to write software, create original content, and build new processes regardless of their formal role. - **Remote/Hybrid Policy**: Not explicitly stated, but offices are located in the SF Bay Area (US), India, UK, and Canada, suggesting a global, likely hybrid-friendly setup. - **Talent Pool**: The company attracts talent from top tech companies (Google, Meta, Amazon, Coinbase, Databricks) and top universities (IIT Delhi), indicating a high-caliber peer group. - **Open Roles (as of mid-2026)**: 32 active job postings, including roles in ML Engineering, Backend Engineering, DevOps, Product Management, Security & Compliance, and Marketing. ## Sources 1. [ema.ai/careers](https://www.ema.ai/careers) 2. [jobs.ashbyhq.com/ema](https://jobs.ashbyhq.com/ema) 3. [Crunchbase - Ema](https://www.crunchbase.com/organization/ema-8724) 4. [LinkedIn - Ema](https://www.linkedin.com/company/ema-unlimited) 5. 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