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XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are seeking a highly skilled and motivated Backend Enginee r with a Generative AI orientation to join our Infra team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities across our product line. This platform will handle cross-team concerns, such as prompt management, model access, data filtering, logging, and monitoring, centrally, so individual teams can focus on their own business-specific logic. As a Backend Engineer with a Generative AI orientation, you will be instrumental in designing, developing, and implementing the core services of this foundational AI Platform. You will build components that enable our development teams to quickly innovate with AI while adhering to high standards for quality, cost-effectiveness, and compliance. Responsibilities:
* Develop and maintain a centralized microservice that handles all AI model interactions.
* Build shared services and libraries to maximize development speed and cost-efficiency for AI based features/systems across the company
* Setting the tone in the fields of automatic testing strategies and CI/CD for AI components, prompt management, and more.
* Define and enforce best practices for model governance, security, and compliance.

Were looking for an experienced and strategic Product Marketing Manager to join our team and help shape the way brings products to market. This role requires a proven track record in SaaS product marketing, with the ability to operate autonomously, influence cross-functional efforts, and deliver measurable business impact.

About the Role:
As a Product Marketing Manager, you will:

Develop differentiated messaging and positioning that communicates the unique value of platform across industries and personas.

Drive market research and customer insights - understand our buyers, ICP, and competitive landscape, and translate findings into actionable strategies.

Lead planning and execution of customer acquisition campaigns and website optimization initiatives, ensuring alignment across product, marketing, sales, and customer success to drive measurable growth.

Create high-impact assets such as sales playbooks, enablement materials, website pages, lp content, and thought leadership pieces.

Partner with demand generation teams to design and execute customer acquisition and re-engagement campaigns that fuel growth.

Equip internal teams with the training and insights they need to drive adoption,and support customer outcomes

In this role, you will be responsible for:
Lead, mentor, and grow a team of DevOps engineers, fostering collaboration, ownership, and continuous improvement
Drive the teams strategic direction in alignment with company goals and engineering needs.
Oversee AWS infrastructure design, provisioning, and optimization.
Collaborate with Security department on DevSecOps initiatives.
Utilize AI to improve team velocity
Own and operate global services such as DNS, S3, CloudFront, and certificate management.

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at our company. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of our companys risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing our companys financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for our company's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and our company practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at our company
Identify and Initiate New Business Opportunities: - Collaborate with our company FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work

We are seeking a skilled and innovative Senior Fullstack Engineer to join our dynamic Back office team. You'll be at the forefront of crafting robust and scalable solutions that support our internal operations and enhance our clients daily workflows. As part of our high-performing team, you'll tackle complex, scalable product challenges and contribute to creating seamless, intuitive user experiences
. As a Senior Fullstack Engineer, youll collaborate closely with Product Managers, UX Designers, QA Engineers, and fellow Developers.. Ensuring the delivery of high quality new features. Youll have the opportunity to drive impactful improvements while contributing both autonomously and within cross-functional teams.
What Youll Do
Develop responsive, high-performance user interfaces with modern technologies.
Lead front-end and back-end infrastructure initiatives, applying TypeScript best practices, performance optimization techniques, and security principles.
Write clean, efficient code with a focus on comprehensive test coverage.
Own the full lifecycle of your features, from development to deployment.
Act as a technical point of contact and support internal teams through the implementation process.
Mentoring peers and driving innovation within your domain.

As an Account Executive your role includes managing your own account pipeline, contributing to the teams pipeline and becoming a valuable part of the product team.

No outbound required! Only reach out and consult businesses who have signed up to the platform in order to make them paying customers, provide top notch customer service and help improve the product based on knowledge and feedback that youll gather!

What you'll be doing:

Working Model: Europe time (Mon-Fri) & US hours (Temporary - Onboarding Period)

You will become a product expert!

The Account Executive position is a quota-carrying position; you will own the full sales cycle
Be the companys eyes No one in the company knows our clients better than the Sales team
Influence the product in the light of client demands and needs
Cross department involvement and information sharing
Initiative independence and ownership

Required Talent Sourcer 6-Month Contract (with Potential Extension)
Responsibilities
Lead end-to-end sourcing efforts for a wide range of technical roles, with a focus on identifying, engaging, and qualifying high-quality passive candidates.
Build and maintain strong talent pipelines, using advanced search techniques and a deep understanding of the tech landscape.
Leverage LinkedIn Recruiter, social platforms, niche communities, and additional sourcing tools to uncover top talent.
Utilize AI-driven tools and automations to scale sourcing efforts, increase efficiency, and introduce new methods for talent discovery.
Partner closely with recruiters and hiring managers to refine role profiles and ensure strong alignment on candidate expectations.
Manage and maintain all sourcing activity within Comeet / Spark (ATS), ensuring clean, accurate, and organized data.
Support key operational aspects of the recruiting process including interview scheduling, candidate follow-ups, and workflow support ensuring a seamless and timely experience.
Bring a creative, think outside the box mindset to identify new channels, strategies, and approaches to attract diverse, high-quality talent.