Role Description Equal parts hands-on engineer and strategic diplomat, you will spend your day troubleshooting Kubernetes clusters and cloud architectures one hour and acting as the authoritative technical voice for global enterprise stakeholders the next. BigID is growing quickly, and we are expanding our Services team and seeking a Senior Professional Services Engineer to work with our customers located mainly in Europe and the Middle East. The services team plays an important role in the successful setup, integration, deployment and adoption of BigID's platform, for our customers and implementation partners. The focus of services engagements is on bringing ongoing, incremental value to our customers through unlocking BigID related use cases. This position also works to identify the root cause of any deployment issues and works with the larger team to help resolve them to ensure the success of the customer. - Work closely with client stakeholders to determine technical requirements for specific business objectives at hand. - Plan implementation engagements, deploy solution components, and participate in the product configuration efforts in order to meet clients’ specific requirements and business objectives. - Engage with multi-discipline internal and client teams to ensure smooth rollout of BigID solutions and successful integration within customers’ environments. - Deliver training for respective technologies at an applicable level of depth and detail for a given audience. - Work closely with our Engineering and Product Management teams to document product issues, enhancement requests raised in the field, and possible implementation flow improvements. Qualifications - Senior level experience in information technology, with an equivalent of at least 3 years in a customer-facing role - preferably involved in product implementation and hands-on technical activities within enterprise corporate environments. - Clear and concise communication with the ability to explain complex technical concepts to a non-technical audience. - Ideally experience in working with customers across Europe and Middle East region. - Understand operational parameters and troubleshooting for a combination of the following: Compute, Storage, Networking, Databases, DevOps, Big Data and Analytics, Security, Applications Development. - Advanced experience in problem identification, system architecture definition, hardware/software specification and/or design, implementation, testing, client training and solution deployment. - A proactive approach in understanding internal and customers business challenges with the ability to suggest solutions. - Professional experience in Docker and Kubernetes deployments and Linux operating systems. - Meaningful experience with some DBs, such as MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, IBM DB2. - Professional experience with cloud offerings such as AWS, Azure or Google Cloud Platform. - Experience with REST API. - Programming or scripting skills with bash, Java or Python. Benefits - Equity participation - everyone shares in our success. - Flexible work arrangements. - Other compulsory benefits based on the country of residence. Company Description BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data. - BigID named one of Forbes America's Best Startup Employers 2026 - ranked #15 overall and #1 in Security. - BigID named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards. - Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies. - CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running). - DUNS 100 Best Tech Companies to Work for. - Top 3 Big Data and AI Vendors to Watch in the 2023 BigDATAwire Readers and Editors Choice Awards. - 2024 Inc. 5000 list for the 4th consecutive year! - Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity.

Role Description Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning. - Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. - Write accurate, well-documented solutions that serve as ground truth. - Evaluate AI agent outputs against your solutions. - Provide detailed written feedback capturing correctness, efficiency, and reasoning quality. - Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - Must-Have: - 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background. - Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods. - Ability to commit to 40 hours per week during weekdays for the duration of the engagement. - Strong written communication skills and the ability to explain technical decisions clearly. - Preferred: - Prior experience with data annotation, labeling, evaluation, or human feedback collection. - Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Requirements - 40 hours/week commitment during weekdays. Benefits - Compensation: $70–$100/hour - Remote work location. Application Process - Upload resume - AI interview based on your resume - Submit form For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning. - Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. - Write accurate, well-documented solutions that serve as ground truth. - Evaluate AI agent outputs against your solutions. - Provide detailed written feedback capturing correctness, efficiency, and reasoning quality. - Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background. - Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods. - Ability to commit to 40 hours per week during weekdays for the duration of the engagement. - Strong written communication skills and the ability to explain technical decisions clearly. Requirements - Prior experience with data annotation, labeling, evaluation, or human feedback collection. - Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Benefits - Compensation: $70–$100/hour - Location: Remote - Commitment: 40 hours/week Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com

• Provide support for SIP and TDM based soft switch translations, facilities and features on the Metaswitch Call Agent and Media Gateways, Enhanced Application Servers, and SBCs. • Maintaining and updating LERG daily. • Extensive experience supporting central office switching and softswitch platforms, including legacy TDM systems (e.g., Nortel DMS-100, Lucent 5ESS) and modern VoIP/SIP infrastructures. • Deep expertise in SS7, SIP, PRI, media gateways, and session border controllers, including trunk provisioning, call routing, E911, and inter-carrier interconnects. • Proven ability to troubleshoot end-to-end voice issues across TDM and IP transport layers, ensuring high availability in geographically redundant central office environments. • Support Product Engineering with systems architecture planning, system implementation guidelines, and engineering guidelines. • Perform lab testing, design, and architecture work. • Architect new VoIP products and features. • Coordinate with vendors, analyze appropriate product offering and develop new products and services for network. • Test and approval of new product sets. • Provide technical assistance and support to other Service Management teams. • Assist management with all high priority projects and prepare technical presentations. • Provide off-hours, on-call, and weekend coverage as required. • Performs other duties as required to support the business and evolving organization.