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We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge.

Were looking for a Senior Backend Engineer to join our core engineering team and help us scale mission-critical services and build new capabilities around LLM-powered agents, HRTech integrations, and a growing global platform.
What Youll Be Doing:
Architect, build, and maintain robust and scalable backend services in Node.js
Design and implement cloud-native services on AWS, using Lambda, ECS, S3, and related tools.
Work with MongoDB, queues, and containers to handle high-volume async processing.
Integrate with 3rd-party systems via REST APIs, including HRTech platforms, ATS systems, and communication tools.
Build and maintain services that support our AI/LLM-driven agents (chatbots, screeners, scheduling assistants).
Collaborate closely with Product, Frontend, and AI teams to ship high-impact features.
Follow engineering best practices around testing, observability, and CI/CD.

Required AI-Ops & Cloud Platform Engineer
About the job:
As an AIOps Engineer, you will revolutionize enterprise operations by building intelligent systems that autonomously monitor, predict, and optimize business-critical infrastructure. You'll architect AI-driven operational platforms that transform reactive IT management into proactive, self-healing systems, enabling organizations to achieve unprecedented levels of reliability, efficiency, and performance at scale.
What Youll Do:
Monitor and optimize LLM application performance (latency, token usage, drift, failures)
Automate anomaly detection and remediation using Python and ML-based tooling
Design and manage cloud infrastructure (AWS, Azure, or GCP) using Terraform
Build dashboards, alerts, and predictive models to ensure system reliability
Ensure infrastructure is scalable, secure, and cost-effective.

We are looking for a dynamic, high-performing team player who thrives in fast-paced environments to join our Customer success team. If you are experienced with online marketing solutions, enjoy communicating, helping others and providing long-term solutions to your customers, then this is the role for you.

The Scaled Customer Success Team is the trusted advisor for building relationships, driving product adoption, and empowering customers to fulfill their marketing goals. By being experts of the platform, we are able to provide a unique level of consultation and inspiration to our customers. We are an energetic, empathetic and passionate team that enjoys teamwork and taking on new challenges in this dynamic environment.

This CSM role focuses on scalability. Scale CSMs engage with customers through both 1:1 interactions for high-touch objectives and 1-to-many (1:N) success programs that drive impact across target customer segments. The team leverages robust customer data to identify opportunities to deliver greater value through broader and more advanced use of our products.

Responsibilities:
Identify, design and achieve the customer's goals in a short-term relationship
Act as a consultant when it comes to analytics, and grow clients usage of the platform.
Work closely with our developers and technical teams to ensure customer satisfaction.
Contribute ideas and practical solutions to ensure customers contentment.
Continuous improve and actively contribute to the processes and procedures of the team.
Represent the voice of the customer and influence product development roadmap.

We are seeking an experienced AI Executive with deep expertise in Generative AI and a strong background in technology consulting to join our Technology Consulting Department. This role involves leading strategic AI initiatives for top-tier clients, developing innovative AI-driven solutions, and driving digital transformation through cutting-edge technologies.
Key Responsibilities:
Lead end-to-end Generative AI projects from strategy and design to implementation and delivery.
Advise clients across industries on integrating AI technologies into their business processes.
Design and develop tailored AI solutions using advanced models (e.g., LLMs, diffusion models).
Analyze market trends and bring forward innovative AI opportunities for clients and internal teams.
Collaborate with cross-functional teams including Data, Engineering, and Business Consulting.

Required AI Senior Delivery Manager
About the job
As an AI Senior Delivery Manager, you will lead the orchestration of our most complex and strategic AI transformation initiatives, managing a team of project managers while ensuring flawless execution of cutting-edge AI solutions across enterprise clients. You'll be the strategic bridge between technical innovation and business outcomes, driving AI program success at unprecedented scale while building and mentoring the next generation of AI delivery leaders.
Key Responsibilities:
Lead end-to-end delivery of large-scale, cross-functional technology projects.
Manage client relationships and act as the primary point of contact for project delivery.
Coordinate between internal consulting teams, external vendors, and client stakeholders.
Oversee project planning, execution, quality assurance, risk management, and reporting.
Ensure projects meet defined KPIs, SLAs, and business objectives.
Apply appropriate project management methodologies (Agile / Waterfall / Hybrid) based on project needs.
Support business development efforts, including proposal writing and client presentations.

We are looking for a Manual QA Engineer to join our growing R&D team. In this role, you will play a key part in ensuring the quality and performance of our innovative products, working closely with developers, product managers, and other QA engineers to support fast, reliable releases.

This is an exciting opportunity to work in a fast-paced, global environment, with advanced technologies and impactful challenges.

What Youll Do:
Plan, create, and execute manual test cases based on product and technical requirements.
Conduct functional, regression, UI/UX, and exploratory testing on web applications.
Identify, document, and follow up on bugs using Jira and other tools.
Collaborate with development and product teams to define testing scope and ensure release readiness.
Support production issue investigations and validations.
Help improve QA processes, documentation, and testing coverage.
Participate in sprint planning and product spec reviews to ensure testability.
Create the test plans and execute them alongside the Unit tests, Components test written by DEV and understand what to test according to the testing Pyramid

Were looking for an experienced AI Engineer to help us build and deploy cutting-edge GenAI systems that create real impact across industries.
What Youll Do:
Build end-to-end GenAI solutions -from POC to production
Develop scalable backend services using Python and microservices
Deploy across GCP, Azure, and AWS using cloud-native AI tools
Collaborate with cross-functional teams and clients to translate business needs into AI-powered systems
Continuously explore and integrate emerging GenAI models and frameworks
Develop and optimize LLM-based systems, including Retrieval-Augmented Generation (RAG) architectures.

We are looking for a Product Data Analyst specialist to join our growing Product Data Analyst team. This role is a unique opportunity for someone passionate about data to gain hands-on experience in a product-centric, data-driven environment.

Youll work closely with product managers, analysts, and engineers to help shape the way we measure, understand, and improve our products. This is an ideal position for someone at the beginning of their data career whos eager to learn, take ownership, and make an impact.

Responsibilities:
Detection Engine Ownership: Own and optimize key parts of CHEQs detection engine and database using analytical tools and best practices.
Cross-Departmental Collaboration: Work with Product, Engineering, Sales, Customer Success, and Security to deliver actionable data insights.
Product Support & Prototyping: Support product decisions through data exploration, insights, and prototypes for new features or tools.
Insight Discovery & Innovation: Analyze traffic and product data to identify trends, anomalies, and new product opportunities.
Internal Enablement Tools: Create internal services and dashboards to support field teams before features are fully productized.
Ad Hoc Analysis & QA: Investigate client issues, bugs, and QA concerns through on-demand analysis and validation.
Data Storytelling: Present insights clearly via dashboards, reports, and visualizations for diverse audiences.