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Required Senior SRE Engineer /Senior DevOps
Were on a mission to help companies unlock reality and reach their full potential. As a Senior Site Reliability Engineer (SRE), youll play a key role in shaping our new Production Reliability domain. Youll drive reliability initiatives, lead cross-team projects, and ensure our SaaS platform stays robust, scalable, and efficient. This is a high-impact, hands-on role that demands technical expertise and a proactive approach.
You'll Own
Design, build, and maintain scalable, fault-tolerant systems.
Define and enforce reliability processes, SLOs, SLIs, and SLAs.
Lead complex incident responses, including on-call rotations and postmortems.
You'll Solve
Challenges related to observability, testing, production stability, and development productivity.
Reliability improvements through data-driven decisions.
Complex production incidents.
You'll Impact
Build automation, tooling, and self-service capabilities.
Collaborate with engineering, product, and support teams to embed reliability into everything we do.
Mentor engineers and promote operational excellence across the organization.

Were seeking a highly motivated, Senior Product Designer to play a key role in designing, exploring, and continually delivering innovative solutions and experiences. If you have a passion for creating innovative products and thrive on identifying and solving user needs, we want you!
You'll Own:
Drive the user experience and design for one of our key product areas.
Lead end-to-end design processes- from ideation and wireframes to polished, high-fidelity designs.
Champion user-centered design principles and act as the voice of the user across the product lifecycle.
Help shape and refine our UI pattern libraries and design guidelines.
Take ownership of creating intuitive, scalable, and impactful product experiences.
You'll Solve:
Research and deeply understand complex user problems in B2B SaaS environments.
Transform complicated workflows into elegant, simple, and easy-to-use solutions.
Balance strategic thinking with attention to detail while designing flows and interfaces.
Collaborate closely with Product Managers and Engineers to bring ideas to life.
Use prototyping, user research, and testing methodologies to validate and improve solutions.
You'll Impact:
Create exceptional UX experiences that turn users into loyal advocates and raving fans.
Influence how revenue teams worldwide work more productively and make smarter decisions.
Contribute to products used by more than 4,500 companies globally.
Help build innovative AI-powered experiences that drive measurable business outcomes.
Be part of our Own. Solve. Impact. culture by delivering meaningful product and customer impact.

we are evolving from an Infrastructure as Code platform into the context and action layer for cloud infrastructure. Powered by CloudQuery's live map of every cloud resource, owner, and relationship, as well as what orchestration tools actually do to them, we turn cloud context into actions that people and AI agents can take on drift, policy, cost, and security.
We work in TypeScript, React, and Go on AWS. If you have worked in none of them, that is fine; we hire for depth in whatever you have used.
Your responsibilities
What you'll do
Own features end to end: design, build, ship, and run them in production.
Work closely with product on what to build, with a say in scope and priorities.
Own the operational side: DevOps, automation, and tooling sit with the engineers who build the product, not a separate team.
Build AI capabilities into the product and own how they behave in production.
Orchestrate coding agents across the SDLC and in daily work, and raise the velocity and quality of what the team ships.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.

Were looking for a DevSecOps Manager to lead our Israel-based DevSecOps team and own the security posture of our cloud infrastructure. Youll inherit a strong, established team of DevOps and DevSecOps engineers with meaningful ownership and a mature security program.
This is a hands-on leadership role that combines people management, technical depth, and architectural influence. Youll define the cloud security roadmap, remain close to the code and systems, and partner with Product Security, R&D, and Cloud Engineering to make security part of the platform by default.
Youll own:
The security posture of our multi-cloud infrastructure across AWS, Azure, and GCP.
Identity governance, least-privilege access, credential lifecycle management, and cloud vulnerability management.
Security controls embedded directly into the cloud platform, enabling R&D teams to build and operate securely by default.
Developer toolchain security, including CI/CD pipelines, software supply chain risks, and developer-facing guardrails.
The implementation of security as code, replacing manual processes and ticket-based controls with scalable automation.
The leadership, development, and technical growth of a team of DevOps and DevSecOps engineers.
Teams roadmap, priorities, and quarterly planning in alignment with Cloud Engineering and the broader Security organization.
The teams role as the primary cloud security partner for Product Security, R&D, and Cloud Engineering.
Clear security standards, ownership boundaries, and operating practices across the cloud platform.
Youll solve:
Security challenges across a large, evolving environment with multiple production cells, several cloud providers, and more than 500 engineers.
Gaps in cloud identity, permissions, credentials, workload protection, and vulnerability management.
Security risks within Kubernetes, including RBAC, pod security, network policies, and runtime protection.
Risks across GitHub, CI/CD pipelines, third-party dependencies, and the software supply chain.
Friction between strong security controls and the speed, usability, and autonomy R&D teams need.
Repetitive security work by turning manual controls into automated, reusable platform capabilities.
Cross-functional challenges that require alignment between Cloud Engineering, Product Security, R&D, and compliance stakeholders.
Emerging cloud security gaps by proactively identifying them, proposing practical solutions, and driving remediation through completion.

Youre not just a doer-youre a strategic thinker. You can take direction while also thinking creatively to bring fresh, innovative ideas to life. With a strong service-oriented mindset, you thrive in dynamic, fast-paced environments, and consistently add value to every experience. You're proactive, adaptable, and always ready to take on new challenges with enthusiasm and a positive attitude.
This is a temp position for 6-9 months starting in Mid November.
What Youll Do?
Employee Experience: Plan, coordinate, and execute company-wide events, celebrations, and culture-building activities. Drive engagement through thoughtful activities and personalized gifts.
Internal Communications & Operations: Oversee smooth office logistics and ensure a pleasant work environment. Handle administrative tasks and manage internal communications across various platforms (Slack, Emails, Confluence).
HRIS management: Manage all employee records, updates, and HR system operations
Finance & Vendor Management: Manage relationships and payments to suppliers and service providers, working closely with the finance team to ensure timely and accurate processing.
Office Relocation Project: Lead and oversee the companys office relocation project during December-January, managing external vendors, logistics, setup, and employee transition to ensure a seamless move.

Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.

This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.

What Youll Do:

Own Customer Solution Design

Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.

Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).

Translate security and governance needs into scalable technical implementations.

Be the Technical Bridge

Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.

Partner with Product and R&D to communicate field feedback and influence roadmap priorities.

Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.

Drive AI Security Implementations

Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.

Define best practices for secure AI adoption, governance workflows, and observability frameworks.

Guide customers through architecture decisions, trade-offs, and scalability considerations.

Lead Technical Authority

Act as a trusted advisor to CISOs, security teams, and AI leaders.

Support complex technical escalations and architectural challenges.

Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.

Required Senior DevOps Engineer
As a Senior DevOps Engineer, you'll design, operate, and evolve the platform that runs our production environment across AWS, GCP, and Azure, powering hundreds of Java microservices, ML model-serving workloads, and the internal tooling our R&D organization depends on every day.
You'll own:
A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD
CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments
Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy
You'll solve:
High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants
The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region
Advanced troubleshooting when production, staging, or dev environments break in unexpected ways
You'll impact:
Every engineer. Our platform is the substrate they deploy on, so your work directly affects their delivery speed
Cost, reliability, and security of the infrastructure that underpins the product our customers pay for
The resilience of our customer experience. The platform you build determines whether thousands of revenue teams can trust us to be there when they need it
The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there.

Were looking for an experienced, multidisciplinary Security Engineer with a strong technical foundation and the ability to learn and own new technologies and domains from the ground up.Youll join Corporate Security Engineering within our Cyber Defense organization, Youll design, implement, and mature the security controls that protect our business applications, workforce, and corporate environment.
Youll work closely with Cyber Defense, IT, DRE, R&D, People, Legal, and GRC to embed security controls at scale. Our strategy is AI-first and built on identity-centric controls, Zero Trust principles, and scalable automation.
Youll Own
The security posture of our corporate technology stack, including AI security, identity, DLP and insider risk, EDR, MDM, browser security, SSPM/CASB, network security, and email and collaboration security.
Zero Trust access policies for workforce and external users, along with hardening for macOS, Windows, and Linux endpoints, browsers, SaaS applications, and corporate networks.
Identity and access capabilities, including SSO, phishing-resistant MFA, passwordless authentication, conditional access, device trust, PAM, joiner-mover-leaver controls, and service-account hygiene.
The evaluation and rollout of new security technologies, taking solutions from proof of concept through production.
Automated workflows and API integrations that scale security controls without adding operational overhead or headcount.
SaaS, third-party, and AI governance, including SaaS configuration reviews, vendor security assessments, access reviews, OAuth governance, posture remediation, and enablement-first guardrails for employee AI tools.
Domain expertise for SecOps incident response and partnership with IT and R&D to embed security standards and operating procedures into day-to-day processes.
Youll Solve
How to protect a fast-growing SaaS companys corporate environment across a broad and evolving technology stack.
How to translate security risks into clear requirements, practical controls, and reliable production operations.
How to strengthen identity, endpoint, SaaS, network, email, and collaboration security through a unified Zero Trust approach.
How to automate security processes and integrate systems so controls remain effective as we scale.
How to enable employees to use SaaS and AI tools safely through thoughtful guardrails rather than blanket restrictions.
How to make security standards easy for partner teams to adopt by embedding them into operational workflows and SOPs.
Youll Impact
The security and resilience of our business applications, workforce, and corporate environment.
Our ability to scale securely through stronger identity-centric controls, Zero Trust access, endpoint hardening, and SaaS governance.

Required Senior Backend Engineer - AI Framework (Python)
As a Senior Backend Engineer on our AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across, making your impact immediate and company-wide.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Were looking for a Senior Customer Solutions Architect to own strategic post-sales relationships and help customers build and mature their AI Security and Governance programs.

This role combines the technical and consultative strengths of a Solutions Engineer with long-term ownership of customer strategy, adoption, and value realization. Youll work with stakeholders ranging from security practitioners to CISOs, continuously discovering new use cases and translating customer priorities into phased plans with clear owners, timelines, and measurable outcomes.

Youll own the overall customer relationship and technical direction, including deployment roadmaps, success plans, quarterly business reviews, and platform expansion after the initial rollout. Sales will own commercial discussions and negotiations.

Youll partner with Customer Engineers on deployment, integrations, configuration, and troubleshooting, while bringing enough technical depth to scope solutions, investigate issues, and challenge assumptions with specific findings.

What Youll Do
Strategic Customer Leadership: Own post-sales relationships for a focused portfolio of enterprise customers, building trusted partnerships across technical practitioners, security leaders, and executives.
Customer Planning & Execution: Build and drive deployment roadmaps and success plans with clear phases, owners, and target dates. Lead quarterly business reviews to assess progress, demonstrate value, and align on next steps.
Discovery & AI Security Advisory: Understand each customers AI environment, security program, priorities, and risks. Work with CISOs, AI governance stakeholders, and architecture teams to translate those priorities into practical implementation plans.
Technical Scoping & Escalations: Scope deployments, review architecture and integration requirements, and use API documentation and logs to investigate issues. Validate assumptions and engage R&D with specific technical findings, clear questions, and well-defined escalation requests.
Value, Adoption & Platform Expansion: Connect customer objectives to Nomas capabilities, define measurable outcomes, and drive adoption beyond the initial rollout. Identify additional workloads, teams, and use cases where Noma can deliver value, coordinating with Sales when commercial follow-up is needed.
Cross-functional Leadership: Coordinate Customer Engineering, Product, Research, Engineering, Security, and Support resources to move customer plans forward, resolve blockers, and bring customer insights back into us.

We are looking for a Head of Forward Deployed Engineering to lead the team that turns our platform into live production systems inside the largest enterprises. You will own a team of 10+ FDEs (and growing), the delivery bar they are held to, and the outcomes they ship.
This is a player-coach role. You set the standard, build the system that enforces it, and stay close enough to the work to review a flow design and call out what's wrong.
What You'll Do
Own delivery outcomes. On-time go-lives, production stability and client satisfaction all land on your desk. You manage by data: delivery metrics, quality signals, escalation rates and client feedback.
Raise the bar. Run a clear performance system with a defined FDE bar, 30-60-90 ramps for new hires, and honest evaluations. Coach the people who can grow. Make the hard calls on those who can't.
Run the operating rhythm. Own the flow review forum, the deployment status cadence, and the on-site schedule across clients.
Grow the team. Own the hiring pipe, from sourcing through a practical interview loop to onboarding that gets new FDEs to independent delivery in 90 days.
Stay in the field. Show up at key clients, especially around go-lives. Your credibility comes from being in the room, not above it.

our company builds the production-grade AI backbone for top-tier enterprises. We don't just wrap LLMs. Our platform autonomously handles mission-critical workflows, replacing operational friction with seamless, predictive experiences. We are a lean, engineering-driven company working directly with the biggest players in the market.
An FDE at our company is a customer-embedded engineer who owns the technical success of an AI deployment end to end. You don't advise and hand implementation to someone else. You are the implementation owner. You take an ambiguous business problem, break it into solvable technical components, build the solution on our platform, and stay with it until it works reliably in production.
What You'll Do
Own deployments end-to-end. From signed deal to production go-live and stabilization. No hand-offs.
Build production AI agents. Design and ship agent flows on our platform: prompt engineering, orchestration, edge cases, and the testing discipline that makes them production-grade.
Integrate into brownfield reality. Legacy systems, APIs, CRMs, telephony and customer infrastructure, while navigating security, compliance and incomplete requirements.
Debug in environments you don't control. When production misbehaves inside the customer's stack, you find it and fix it.
Push back with judgment. Challenge poor requirements, find creative alternatives, and align technical and business stakeholders behind them.
Be embedded with customers. On-site several days a week during active deployments, often as the most senior technical person in the room. On-site days carry dedicated compensation on top of your salary, and every production go-live carries a milestone bonus.