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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.

We are looking for a Product-Driven Senior Software Engineer who wants to do more than build features from a backlog. In this role, you will own entire product surfaces end-to-end - from concept to production - shipping AI-powered features that users actually touch.
Youll work directly with LLMs, APIs, and modern full-stack technologies to build experiences that feel polished, fast, and intelligent.
If you care about how something works as much as that it works, and you want to shape products that matter, this role is for you.
What Youll Do
Own features end-to-end: Design, build, and ship complete product experiences - frontend, backend, and AI integration. No hand-offs.
Build with AI: Integrate LLMs and AI APIs into real product workflows, including prompt engineering, API orchestration, and intelligent UX patterns.
Ship with taste: Make decisions about UX, polish, and user experience. Attention to detail matters.
Move fast: Work in short cycles, ship to production, learn from real users, and iterate.
Make calls: Operate with autonomy and make decisions even when information is incomplete.

Required Head of AI Security
As the Head of AI Security, you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures.
Youll Own:
Our end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents
Secure-by-design frameworks and security architecture for AI-powered products and platforms
AI threat modeling, adversarial testing, red teaming, and vulnerability management programs
AI governance, internal security policies, and alignment with emerging global AI regulations and standards
Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments
Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams
Youll Solve:
Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage
Preventing sensitive customer and enterprise data from leaking into training sets or model outputs
Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale
Embedding security seamlessly into the ML lifecycle without slowing innovation
Building scalable AI security operations through automation, monitoring, and continuous adversarial testing
Navigating evolving AI governance, compliance, and regulatory requirements across global markets
Youll Impact:
Maintain our reputation as a leader in secure and trustworthy enterprise AI
Build the foundation that allows AI innovation to scale safely and responsibly
Strengthen customer trust by protecting highly sensitive conversational and business data
Create resilient AI systems that can withstand real-world attacks and emerging threat vectors
Drive a security-first AI engineering culture across the organization
Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company

Were looking for a Brand and Motion Designer to join our core team and build the engine behind AI-native security. We aren't just building another dashboard, we are architecting a system that processes massive data streams and pushes AI models to their absolute limits to outthink modern attackers. If you are a builder at heart who thrives on high-scale challenges, ownership, and the fast pace of an early-stage startup, youll fit right in.
What You'll Do
Own the visual layer of our GTM motion, from website pages and campaign assets to LinkedIn creative, email, and conference experiences.
Build a repeatable design infrastructure: templates, component libraries, and brand guidelines that let sales, marketing, and product ship on-brand work.
Design the materials that carry our story: sales decks, one-pagers, proposals, marketing content, case studies, and event collateral that make enterprise buyers take us seriously.
Use AI tools to compress the design cycle, then productize what works into workflows the rest of the team can run themselves.
Partner with R&D, marketing, and design on soft UI work wherever the product meets the brand.
Evolve and defend the company brand as we scale, keeping it consistent across every surface and every team that touches it, and wowing audiences and stakeholders along the way.
Turn product highlight into a stuning visual story.

Engineering Team Lead - Application Infrastructure
As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.
Youll Impact:
Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better.
System reliability: Ensuring the high availability, scalability, and security of mission-critical systems.
Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization.

We are looking for a Legal Counsel to join us and lead our legal operations. In this role, you will be a key partner to business and product teams, providing practical, business-oriented legal advice across a wide range of matters. You don't just identify risks, you find pragmatic solutions that help the company move fast and close deals.
What You'll Do:
Draft, review, and negotiate a wide range of commercial agreements, including SaaS agreements, NDAs, partnership agreements, vendor contracts, and Data Processing Agreements (DPAs).
Provide day-to-day legal support on product-related matters, feature rollouts, and general operational needs.
Build and improve contract templates, playbooks, and internal legal processes to scale our legal function.
Support compliance and privacy-related initiatives, including implementation of data protection frameworks.
Collaborate cross-functionally to identify legal risks and provide pragmatic solutions.

Were looking for a Senior Backend Engineer to join our core team and build the engine behind AI-native security. We aren't just building another dashboard, we are architecting a system that processes massive data streams and pushes AI models to their absolute limits to outthink modern attackers. If you are a builder at heart who thrives on high-scale challenges, ownership, and the fast pace of an early-stage startup, youll fit right in.
What You'll Do:
Design and build the core backend systems from the ground up
Architect scalable, resilient infrastructure that processes large volumes of security data
Make high-impact technical decisions with real ownership
Work closely with AI and security researchers to turn cutting-edge ideas into production systems
Take features from concept through production and monitoring
Help define engineering standards, culture, and best practices.

Required Developer Experience (DevEx) Team Lead
As a Developer Experience (DevEx) Team Lead, you'll lead the team responsible for the platforms, tooling, and workflows that power our engineering organization. You'll help hundreds of engineers build, test, deploy, and operate software more efficiently by removing friction from the software development lifecycle. This is a leadership role where you'll shape technical direction, grow a high-performing team, and drive initiatives that improve engineering productivity across the company.
You'll Own:
Developer Experience Platform- Drive the evolution of our internal developer platform, enabling self-service capabilities across local development, CI/CD, testing, deployment, and observability.
Team Leadership & AI Adoption- Lead, mentor, and grow a team of platform and software engineers while driving the adoption of AI-powered development tools that accelerate engineering productivity at scale.
Engineering Productivity- Own the reliability and scalability of CI/CD systems, improve software delivery workflows, and partner with Infrastructure, Security, AI Enablement, and R&D leadership to continuously raise engineering effectiveness.
You'll Solve:
Remove bottlenecks across the software development lifecycle by building scalable platforms, automation, and self-service solutions that enable engineers to move faster with confidence.
Evaluate, operationalize, and scale emerging AI capabilities while ensuring they are adopted safely, effectively, and in ways that create measurable impact across R&D.
You'll Impact:
Increase engineering productivity and developer satisfaction by delivering reliable internal platforms and workflows that support hundreds of engineers across the organization.
Shape how software is built by influencing engineering standards, improving delivery speed and quality, and enabling teams to innovate more efficiently.
*We operate in a flexible hybrid work model.

Were looking for a Devops Engineer to join our core team and build the engine behind AI-native security. We aren't just building another dashboard, we are architecting a system that processes massive data streams and pushes AI models to their absolute limits to outthink modern attackers. If you are a builder at heart who thrives on high-scale challenges, ownership, and the fast pace of an early-stage startup, youll fit right in.
What You'll Do
Build and maintain our cloud infrastructure across multiple environments
Design CI/CD pipelines that let the team ship fast without breaking things
Implement security best practices at every layer of our stack
Create monitoring, alerting, and observability systems
Automate everything that can be automated.

Were looking for a Senior Frontend Engineer who is obsessed with turning complex data into seamless, high-end user experiences. At our company, the frontend is where our AI engine meets the human element-meaning youll be responsible for building intuitive, polished, and performant interfaces that make sophisticated security insights accessible. If you want to define the visual identity of a category-leading product and set the engineering standards for our frontend from day one, we want to talk.
What You'll Do:
Build the user experience for our platform from the ground up.
Create intuitive interfaces that surface critical insights from complex security data.
Work closely with product and design to define and refine the user experience.
Optimize applications for performance, scalability, and accessibility.
Shape our frontend architecture, standards, and engineering practices.

As a Trainer, you own how enterprise security teams learn the platform. You'll take analysts from their first query to advanced detection engineering and threat hunting, and you'll build the training content that makes that journey repeatable. You're equally comfortable leading a live workshop for a room full of cyber defense engineers, running a recorded Zoom session across time zones, and fielding the hard, specific questions that experienced practitioners ask.

This is a customer-facing, deeply technical role. You'll represent us in front of our most important customers, and what you hear in the classroom - the confusion, the "aha" moments, the recurring questions - flows back to our product and content teams to make the platform and its training better.


WHAT YOU WILL DO
Train enterprise security teams on the company`s platform, from onboarding sessions to advanced deep-dives.
Create custom training content - courses, hands-on labs, exercises, and reference material - tailored to customer environments and use cases.
Teach advanced usage to security teams: query language mastery, detection engineering, threat hunting, and investigation workflows.
Demonstrate complex attack techniques to security teams and explain how to detect and react to them.
Answer complex, real-world questions from customers during and after sessions, and know when to dig in yourself versus pull in the right expert.
Deliver sessions across formats: on-site workshops, live virtual sessions, and recorded content.
Share content publicly via our various platforms, including technical write-ups, recorded content, and online self paced training.
Help security teams understand how to build & integrate AI workflows into their security operations.
Interact with our community: Publish curated content, organize online events, build CTFs, engage with users and answer complex questions.