Jobs at Noma Security

Design and lead secure AI security solutions for enterprise customers across cloud, hybrid, and on-premises environments. Conduct technical discovery, architect integrations spanning AI systems, LLM applications, data pipelines, model layers, and runtime environments, and support presales validations and implementations. Serve as a technical advisor to CISOs and security leaders while partnering with Sales, Product, and R&D to guide deployments, resolve escalations, and influence product strategy.

Own field marketing and regional campaign execution across EMEA and APAC. Drive pipeline through regional events, localized global campaigns, account-based marketing, sales partnership, vendor and budget management, and performance reporting. The role requires coordinating multiple events and campaigns, adapting messaging for local markets, and traveling 10–20% across international regions.

Own strategic post-sales relationships with enterprise customers, advising on AI security and governance programs. Lead discovery, define measurable outcomes, drive platform adoption, support retention and expansion, and coordinate Product, Engineering, Security, Support, and operationalization teams. Translate CISO-level strategy, GRC requirements, business objectives, and technical needs into practical solutions for securing AI applications, LLMs, RAG systems, agents, and development pipelines.

Drive enterprise sales growth across a defined region by building account strategies, developing pipelines, closing complex cybersecurity deals, and expanding strategic accounts. Sell Noma’s AI security platform to CISOs and AI security leaders, build channel and cloud partnerships, and collaborate with Product, Marketing, and leadership. The role requires expertise in enterprise security software sales, complex procurement processes, category creation, formal sales methodologies, and six-figure, multi-stakeholder deals.

Build and scale strategic partnerships with Global Systems Integrators by recruiting partners, developing joint business plans, driving co-sell initiatives, enabling partner teams, aligning executives, and generating partner-sourced revenue. The role owns GSI relationships, creates partnership frameworks, tracks pipeline and revenue attribution, and collaborates with Sales, Marketing, Product, and Solutions Engineering to expand enterprise reach.

Own strategic post-sales relationships for enterprise customers adopting AI security and governance. Advise stakeholders from security practitioners to CISOs on AI environments, risks, governance, and use cases. Define measurable outcomes, drive platform adoption, support retention and expansion, and coordinate Product, Engineering, Security, Support, and customer operationalization teams. Translate complex AI security capabilities into practical strategies and communicate customer insights internally.

Provide hands-on technical leadership for post-sales customer deployments of an AI security and governance platform. Translate use cases into configurations, integrations, automations, workflows, and production-readiness plans. Diagnose complex technical issues, guide API and scripting integrations, lead customer workshops, create reusable runbooks, and coordinate escalations with Support and Engineering. The role partners across Customer Solutions, Product, Research, Security, and Support to drive scalable technical adoption.

Deploy, integrate, and operationalize Noma’s AI security platform in customer production environments. Translate use cases into configurations, integrations, automation, workflows, and readiness plans; troubleshoot complex technical issues; lead customer workshops; develop reusable implementation patterns and runbooks; and coordinate escalations with Support and Engineering. Partner cross-functionally to drive adoption and relay technical customer insights.

The Head of Product Marketing will own Noma’s positioning, messaging, competitive strategy, and product launches for its AI security platform. They will build and lead the product marketing team, define buyer segments and personas, enable Sales, collaborate with Product on roadmap insights, and align Demand Gen messaging. The role requires proven cybersecurity, infrastructure, or AI product marketing experience, startup growth experience, team management, and a repeatable launch framework.

Lead hands-on technical post-sales engagements, helping customers deploy, integrate, configure, troubleshoot, and operationalize Noma’s AI security platform. Translate use cases into production-ready workflows, automation, integrations, runbooks, and reusable implementation patterns. Conduct technical deep dives, resolve complex issues, coordinate escalations, enable customers, and collaborate with Solutions, Product, Engineering, Research, Security, and Support teams.

Own strategic post-sales relationships with enterprise customers, advising them on AI security and governance. Lead discovery, define measurable outcomes, drive adoption, support retention and expansion, and coordinate Product, Engineering, Security, Support, and operationalization teams. Translate CISO-level strategy, GRC concerns, business objectives, and technical requirements into practical solution strategies while identifying new AI security use cases and growth opportunities.

Owns Noma’s strategic alliances with AI platforms and security ISVs, including OpenAI, Anthropic, Nvidia, Databricks, ServiceNow, and Splunk. Responsibilities include developing the partnerships strategy, building the alliances team, driving co-sell and co-build initiatives, coordinating with cloud alliances, leading technical integrations with engineering teams, and converting partner relationships into revenue. The role requires building a partnerships practice from the ground up in a fast-growing startup environment.

Design, deploy, and operate AWS-based infrastructure using Kubernetes and Helm; automate workflows and CI/CD pipelines; manage edge security (WAFs, gateways, load balancers); improve reliability through monitoring, incident detection, troubleshooting, and automated recovery; build tooling and infrastructure-as-code with Terraform.

Design, build, and maintain scalable data warehouse infrastructure and pipelines. Enable analytics and product teams via data modeling, BI dashboards, data governance, and quality monitoring.

Lead product vision and execution for Noma's AI Security platform. Own end-to-end product strategy, prioritize roadmap, write PRDs, collaborate with engineering/design/data/security/GTM, drive customer-facing evaluations/POCs, and deliver features for data protection, AI governance, observability, and secure AI operations.

Build and operate scalable backend services for an AI security and governance platform. Collaborate across product, research, and platform teams, integrate with AI/LLM platforms and cloud providers, own architecture decisions, implement testing and observability, and troubleshoot production issues to improve reliability and resilience.

Design and lead enterprise AI security solutions: conduct technical discovery, architect cloud/hybrid deployments, integrate across AI/LLM systems and data pipelines, support pre/post-sale, advise CISOs, and influence product roadmap.

Design, build, and productionize LLM- and ML-based solutions to detect and mitigate AI security risks. Own end-to-end model lifecycle, integrate models into production data pipelines, collaborate with Product and Engineering, and lead research POCs to deliver pragmatic, explainable, enterprise-ready AI security features.

Lead product strategy and roadmap for an AI security and governance platform. Translate customer needs into product requirements, drive frontend and architectural decisions, collaborate with engineering, design, data, security and GTM teams, run POCs and customer evaluations, and deliver capabilities for data protection, governance, observability, and secure AI operations.

Own technical pre-sales for enterprise AI security: lead discovery, design demos, execute end-to-end POCs, partner with AEs, surface product feedback, and advise customers on complex technical decisions.