Perceptyx is the Employee Experience (EX) transformation company, providing enterprise-grade employee listening, analytics, and behavioral science that activates people and delivers business impact. More than 600 global enterprises, including one-third of the Fortune 100, use Perceptyx’s multi-channel employee listening, AI-powered recommendations, and personalized coaching to close the loop between insights and action. With an unrivaled technology platform and an in-house team of EX Experts, Perceptyx makes it easy for managers, HR executives, and business leaders to align their key business and talent priorities and drive positive organizational change.

Perceptyx

Program Manager

Manage employee listening projects, ensuring timely delivery for mid-enterprise customers.

• Serve as the main point of contact for customer’s employee listening projects
• Guide customers in using the Perceptyx core product through best practices and an efficient timeline
• Prepare, coordinate, and lead project-specific meetings between customers and involve supporting Perceptyx team members where appropriate
• Gather requirements from customers while providing guidance on best practice
• Communicate with customers via email, phone, and Zoom throughout the duration of the project
• Work collaboratively with customers and internal team members to ensure successful project delivery
• Identify, capture, and effectively communicate customer issues to relevant supporting team members
• Create and maintain each project plan, detailing the tasks that need to be completed for a timely and successful project and communicating those to the customer
• Identify and analyze project risks and dependencies on an ongoing basis
• Report to the Professional Services Manager in the UK

Program Manager 1 - Poland

Data Scientist

Lead AI and ML initiatives for employee feedback insights and organizational actions.

• AI & ML Strategy: Develop and execute the company's AI and ML strategy, aligning it with business objectives and industry trends. Drive innovation and identify opportunities for leveraging AI and ML technologies to solve complex business problems.
• Team Leadership: Build and scale a high-performing engineering team - attracting, hiring, and retaining top talent while fostering a culture of collaboration, continuous learning, and innovation. Provide technical guidance and ensure the team's growth and success.
• Natural Language Processing: Apply your expertise in natural language processing (NLP) to develop and improve theme, emotion, sentiment and intent analysis, comment summarization, and other related applications. Stay up to date with the latest advancements in NLP and leverage them to enhance our products.
• Advanced Predictive Solutions: Design and develop advanced predictive models and solutions using state-of-the-art AI and ML techniques, including deep learning. Harness the power of data to deliver actionable insights and drive decision-making.
• Gen-AI Applications: Drive the development of state-of-the-art GenAI applications that showcase our company's capabilities and provide value to our clients. Build and maintain robust RAG (Retrieve, Analyze, Generate) infrastructure and prompt validation framework. Ensure the reliability and accuracy of AI-generated responses.
• AI Governance Framework: Contribute to the creation of an AI governance framework to ensure compliance with ethical and regulatory standards. Implement processes for responsible AI development and deployment.
• Collaboration: Collaborate with cross-functional teams, including Product Management, Software Engineering, and Operations, to define AI and ML requirements, prioritize projects, and ensure successful integration and delivery of user-centric solutions.
• Operational Excellence: Establish and maintain robust development processes, tools, and frameworks to ensure operational efficiency and scalability. Monitor and manage budgets, resources, and timelines to ensure projects are delivered on time and within budget. Drive continuous improvement initiatives to enhance productivity, quality, and customer satisfaction.
• Research and Innovation: Stay abreast of the latest research in AI and ML, attending conferences and participating in industry forums. Continuously evaluate emerging technologies and identify opportunities for their application in our products and services.

Director, Data Science

QA Engineer

• Develop automation and manual testing strategies including the entrance and exit criterion for testing to begin and end and eventually be pushed from staging to production
• Assist junior team members in both technology testing standards and processes as well as adapting to the corporate culture
• Test application servers, web servers, load balancers, proxy servers, and databases in a complex distributed computing environment
• Test cloud based technologies such as: AWS, GCP, or Azure
• Resolve technical issues and code quality problems by working with: Development, DBAs, DevOps, Product Management, and Quality Assurance Teams
• Develop both manual and automated test cases using open source or commercial automation tools supporting the following platforms: mobile, web, tablet, and API testing
• Document all steps for manual test cases and store them in a test repository for use in smoke tests, regression tests, and sprint signoffs
• Query the backend, middleware, or front-end system to determine the root cause of a system failure and report this appropriately in a service ticket
• Test systems configured with: Windows, Linux, SQL, MySQL, MongoDB, Publish/Subscribe middleware
• Define the positive, negative, and boundary test cases for complex scenarios

Senior, Software Quality Engineer in Test

Backend Engineer

• Participate in developing complex technical solutions and working with cross-functional teams when delivering projects/products
• Develop solutions based on specific project/product requirements, considering best practices and performance standards while promoting reusability
• Assist other software engineering team members while following agile methodologies
• Maintain a commitment to excellence and high standards in a collaborative environment
• Work with leadership to align solutions and data integration with business strategies and objectives
• Work with leads to identify and execute tasks in the software development life cycle
• Automate tasks through appropriate tools and scripting
• Help document development phases and monitor systems

Remote Jobs at Perceptyx

Perceptyx

Program Manager 1 - Poland

Perceptyx

Director, Data Science

Perceptyx

Senior, Software Quality Engineer in Test

Perceptyx

Senior Python Engineer

Perceptyx