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We are looking for a Product Manager.
As a Product Manager, you'll be a key driver of our mission, owning the roadmap and development for one of our core customer-facing applications. You'll work at the intersection of customer needs, business goals, and technology to shape a product that helps B2B companies become truly social organizations. This role is a chance to make a direct impact on our customers' success, from initial concept to launch and beyond.
What you'll do:
Gather input from stakeholders and work closely with them to define requirements.
Define requirements, user stories, and acceptance criteria for product functions and features.
Clearly communicate the status of projects on the product roadmap and in development.
Create user documentation in coordination with stakeholders.
Create and maintain competitive and strategic analysis matrix.
Oversee implementation and release workflow and deadlines.
Hold regular project reviews with Development and QA teams ensuring that the product meets business requirements.
Measure adoption, usage data, and business results from product launches.
Gather market feedback from sales, marketing and recruiting users and buyers via Win/Loss calls, interviews, and other feedback loops.
Participate in support calls or other client inquiries.

We are looking to hire a Customer Support Engineer, who will provide front-line technical support for our companys worldwide enterprise customers and partners. You will support our companys product line of IT Security and Privileged Identity Management solutions and resolve customers technical problems by interacting with them via web, phone, and email.
The ideal candidate will be able to resolve technical issues through diligent research, reproduction and troubleshooting, utilizing all the knowledge they have acquired. You will have an eagerness to learn new technologies, take on new challenges, and drive key initiatives with the view to ensuring the long-term success of our companys customers and the company.
Responsibilities:
Respond to customer inquiries and technical problems through web portal, live sessions, and telephone.
Address customer business needs and technical issues through diligent research, reproduction, and troubleshooting while applying acquired knowledge.
Document all technical inquiries. Develop and review content for knowledge sharing for both internal purposes and customer-facing platforms.
Work directly with other global support colleagues, security services, sales, operations, and administration to ensure the long-term success of our customers and the company.
Participate in on-call rotation to provide 24/7 support for our company's customers
Work directly with R&D teams.

Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
In your role, you will be responsible for developing and maintaining high-quality work procedures, executing both manual and automated tests, and leading the team to achieve better quality.
This is a rare opportunity to help shape a new security infrastructure layer from the ground up in a team with the agility of a startup and the backing of a mature organization. Youll play a pivotal role in shaping how AI agents operate safely and effectively across real-world enterprise environments.
Responsibilities:
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first mindset collaborate with developers to ensure code is testable and observable.
Partner with product and security to define quality gates for features like agent identity, access delegation, and secrets handling.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions about test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to push for E2E coverage.

we are looking for an experienced R&D Group Manager with a creative mindset and strong execution skills to lead multiple engineering teams within our SaaS Platform Department.
As an engineering manager, you will lead, mentor, and recruit team leaders, product owners, and architects who will help us build Saas platform services to fortify our cybersecurity offerings.
You will lead the entire development process from the planning phase through the development and testing process to successful daily releases to our customers.
You will work closely with Product Managers, Program Managers, UX/UI, HR, and others in R&D. 
Key Responsibilities
Lead and mentor multiple engineering teams, ensuring high performance and career growth.
Drive the development, delivery, and operations of SaaS platform services, ensuring reliability, security, and scalability.
Align engineering efforts with business objectives, ensuring timely and quality delivery.
Promote a culture of innovation, collaboration, and continuous improvement.
Defining aggressive goals for the group and the product while leading the group to achieve these goals.
Take a crucial role in architectural and strategic decisions.

we are looking for a senior software engineer to join our team. Our team develops AI agents and infrastructure used across the organization.
In this role, youll be involved in the full lifecycle of software development from creating POCs to supporting systems in production. Some tasks involve research that requires a system understanding, curiosity, and the ability to work independently.
Youll work with large language models (LLMs) from multiple vendors and utilize a wide range of AWS cloud services.

What will you do:
As Senior Data scientist at our company, you will shape the future of identity security and develop innovative AI/ML solutions that enhance security and protect the emerging agentic AI landscape in top organizations. Drive AI research and engineering to address evolving threats and protect critical digital assets effectively.
Drive AI/ML projects from research to production, leveraging advanced algorithms, LLMs, classification models, Unsupervised learning and optimization techniques to enhance cybersecurity solutions.
Model Building: Design, implement, and optimize machine learning models, including deep learning, using frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn.
Work closely with product manager, engineers, software architects and analysts to understand requirements, validate model assumptions, and deliver actionable insights.
Identify AI/ML impact opportunities and translate business needs into actionable roadmap items.
Stay current with the latest advancements in data science and apply best practices to ensure optimal performance.