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Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable. Key Responsibilities: Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka. Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs. Ensure high data quality and integrity by implementing robust data validation and testing processes. Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments. Monitor and troubleshoot data processing workflows to ensure timely data delivery. Document data architectures, processes, and workflows for knowledge sharing and compliance. Stay ahead of industry trends and best practices in big data technologies and methodologies. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience as a Big Data Engineer or in a similar data engineering role. Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka. Strong coding skills in programming languages like Java, Scala, or Python. Familiarity with data processing frameworks and ETL tools. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery). Analytical mindset and excellent problem-solving abilities. Strong communication skills to collaborate effectively with technical and non-technical stakeholders. A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines. Preferred Qualifications: Experience with machine learning frameworks and algorithms is a plus. Knowledge of data governance and security best practices. Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos. This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration. This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety. Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl. Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs. Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically. Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities. Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences. What We're Looking For Deep experience building AI-enabled product systems, not just running experiments. Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries. Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods. Ability to work fluently across backend engineering, product constraints, and user workflow design. Clear judgment about where agent systems should be flexible and where they should be constrained. Comfort working in ambiguous environments where patterns are still being invented. Why This Role Matters The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team. #LI-HYBRID #LI-DJ1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $251,835 — $314,794 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Riyadh, Saudi Arabia Müller’s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting. Key Responsibilities: Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services. Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing. Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs. Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise. Ensure data quality by developing and implementing validation routines and data profiling techniques. Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team. Stay informed of emerging trends and best practices in data engineering and GCP technologies. Participate in team efforts to define and enhance data governance and management practices. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 3+ years of experience in data engineering, with a focus on Google Cloud Platform. Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools. Strong SQL skills and experience in data modeling and data warehousing concepts. Familiarity with programming languages such as Python or Java for data processing tasks. Ability to work with various data sources, including structured and unstructured data. Strong analytical and problem-solving skills with attention to detail. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable. Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub. Understanding of CI/CD practices in data engineering workflows. Knowledge of data visualization tools and techniques to present data insights effectively. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: As an integral member of the Information Security Team, the Sr. Cloud Security Engineer role will be responsible for growing and leading many information security functions at Reltio. As a Sr. Cloud Security Engineer, you will use your technical experience to assess, design, engineer and implement various security and operational controls in Reltio's multi-cloud environment. These controls will be aligned and focused on achieving compliance with Reltio's security standards. The Sr. Cloud Security Engineer will partner with other technology teams for initiatives related to security strategy and implementation. The successful candidate will partner with leaders across the business to develop and deliver solutions that support business strategies and protect Reltio’s intellectual property and customer data globally. Job Duties and Responsibilities: Serve as a cloud security subject matter expert by providing guidance on industry best practices and defense in-depth strategies Proven experience with deploying security controls in a multi-cloud environment (AWS, GCP, Azure) Create security and operational controls to enforce various aspects of Reltio’s security policies Work with the respective functional teams and stakeholders to resolve security related configuration issues Perform technical risk assessments of new technology and ensure the solution meets secure architecture designs Assess and measure risk impact of a security deficiency and communicate the risk or risks to stakeholders Proactively identify issues and recommend configuration settings or supporting solutions to mitigate security deficiencies Skills You Must Have: 5+ years of experience implementing security solutions Strong cybersecurity background and knowledge Understanding of cyber threat vectors and countermeasures Understanding of Linux/Unix and Windows platforms Understanding of Cloud Infrastructure and Cloud Security Understanding of networking (WAN, LAN, wLAN), network domains (Internet, intranet, DMZ), communication techniques/protocols (IP and others), and their combined effects on network and host systems security Strong knowledge of industry standard security technology: anti-virus & anti-malware, SIEM, SOAR, vulnerability scanning, DLP, firewall, IDS/IPS, etc. Strong experience with scripting and infrastructure-as-code (IaC) Experience with industry frameworks such as SOC1/SOC2, HITRUST, ISO Solid understanding of audit methodologies and processes Experience working with virtual teams in a global environment Strong communication and presentation skills Adaptable and agile Good interpersonal, partnership, and leadership skills (without direct authority of others) Skills That Are Nice to Have: Experience developing and operationalizing a vulnerability management program Experience working with container-based architectures Security and Cloud certifications Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: As an integral member of the Information Security Team, the Sr. Cloud Security Engineer role will be responsible for growing and leading many information security functions at Reltio. As a Sr. Cloud Security Engineer, you will use your technical experience to assess, design, engineer and implement various security and operational controls in Reltio's multi-cloud environment. These controls will be aligned and focused on achieving compliance with Reltio's security standards. The Sr. Cloud Security Engineer will partner with other technology teams for initiatives related to security strategy and implementation. The successful candidate will partner with leaders across the business to develop and deliver solutions that support business strategies and protect Reltio’s intellectual property and customer data globally. Job Duties and Responsibilities: Serve as a cloud security subject matter expert by providing guidance on industry best practices and defense in-depth strategies Proven experience with deploying security controls in a multi-cloud environment (AWS, GCP, Azure) Create security and operational controls to enforce various aspects of Reltio’s security policies Work with the respective functional teams and stakeholders to resolve security related configuration issues Perform technical risk assessments of new technology and ensure the solution meets secure architecture designs Assess and measure risk impact of a security deficiency and communicate the risk or risks to stakeholders Proactively identify issues and recommend configuration settings or supporting solutions to mitigate security deficiencies Skills You Must Have: 5+ years of experience implementing security solutions Strong cybersecurity background and knowledge Understanding of cyber threat vectors and countermeasures Understanding of Linux/Unix and Windows platforms Understanding of Cloud Infrastructure and Cloud Security Understanding of networking (WAN, LAN, wLAN), network domains (Internet, intranet, DMZ), communication techniques/protocols (IP and others), and their combined effects on network and host systems security Strong knowledge of industry standard security technology: anti-virus & anti-malware, SIEM, SOAR, vulnerability scanning, DLP, firewall, IDS/IPS, etc. Strong experience with scripting and infrastructure-as-code (IaC) Experience with industry frameworks such as SOC1/SOC2, HITRUST, ISO Solid understanding of audit methodologies and processes Experience working with virtual teams in a global environment Strong communication and presentation skills Adaptable and agile Good interpersonal, partnership, and leadership skills (without direct authority of others) Skills That Are Nice to Have: Experience developing and operationalizing a vulnerability management program Experience working with container-based architectures Security and Cloud certifications Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Bengaluru, India; Al Khobar, Saudi Arabia; Riyadh, Saudi Arabia Eram Talent is actively searching for a Master Data Management (MDM) Administration Analyst to join our growing team. In this role, you will play a vital part in ensuring data accuracy and consistency across the organization by managing MDM processes and tools. Your responsibilities will include the administration of MDM systems, as well as supporting data governance initiatives to improve data quality and compliance. The MDM Administration Analyst will work closely with various stakeholders to facilitate data entry, maintenance, and retrieval, while also providing analysis and reporting on master data issues. You will be key in developing and enforcing MDM policies and procedures to streamline master data management practices across the organization. If selected, the work location would be onsite at Saudi Arabia. Key Responsibilities Implement solutions developed for issues related to physical servers, virtual servers, and data storage centres. Contact vendors to obtain proposals, evaluate proposal, and prepare reports on technical feasibility to support the selection process. Conduct installation, configuration, and operation of new systems. Monitor the operation of the systems, and carry out the necessary maintenance for the systems and the backup systems. Create email accounts for non-automated process including contractor and staff emails. Add users, deletes users, creates groups, and disables account on separation. Search solutions for internet security, antivirus’ software, and firewalls. Prepares technical reports to support management with selecting the right data solutions. Configure firewalls, implement the system polices and password policy, update antiviruses to ensure that user data is protected. Recommend training and development interventions for team members to build their capabilities. Contribute to the identification of opportunities for the continuous improvement of systems, processes and practices to increase productivity and operational efficiency. Implement all relevant Department’s policies, processes, procedures and instructions so that work is carried out in a controlled and consistent manner. Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies and standards. Requirements Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required Certified Data Privacy Solutions Engineer (CDPSE) preferred 5 years experience in the same Field Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred Experience with MDM tools and platforms like Informatica, SAP, or Oracle. Strong analytical skills with the ability to manage and analyze large data sets. Familiarity with data governance concepts and practices. Excellent communication and collaboration skills to work effectively with stakeholders. Proficiency in SQL and data manipulation tools. Detail-oriented with a strong focus on data quality and integrity. Ability to work independently and handle multiple priorities simultaneously.

Location: Atlanta, Georgia, United States Actuary / Senior Actuary, Pricing DRIVE PROFITABLE GROWTH FOR THE BUSINESS About At-Bay At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever. At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies. Why you should join our Actuarial Pricing team: As an Senior Actuary on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth. You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Director, Pricing (Eric Murphy). You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk. Role overview: Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep professional lines knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business. You will lead the development of pricing models for new professional & general liability products and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for driving At-Bay’s professional lines product related initiatives and lead a wide variety of pricing projects, from inception to implementation, to understand the impacts and implications of pricing and underwriting initiatives on the business. As a Senior Actuary you will also be expected to manage up and cross functionally across various teams. How you’ll make an impact: By 3 months… You’ll understand At-Bay’s internal data structure and develop key relationships across the business You’ll have utilized the existing Cyber and Tech E&O rate plans, rater, forecasting tools and related data sources to analyze product performance and recommended actions to leadership based on your findings You’ll have a strong understanding of internal KPIs, developed benchmarks, and reviewed existing pricing segmentation and the overall rate adequacy of all products You’ll identify areas of improvement in our systems and processes and suggested solutions By 6 months... You’ll have proposed and implemented changes to the Cyber and Tech E&O rate plan, detailed rating rules and associated business logic for the new product and achieved alignment from key stakeholders You’ll have worked with the Insurance Product head and other Tech Product, Underwriting, Claims, and Decision Engine teams to develop new product(s), support new product implementation and developed new tools to measure performance You’ll have collaborated with our Cyber Research team to identify and analyze potential new features to be introduced to the rate plan, shared your research with key stakeholders and implemented it into our production risk model You’ll help coach individuals and managers to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business What you’ve accomplished already: You have experience analyzing profitability of developing personal and/or commercial lines products You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and presented the results to senior leaders from multiple disciplines You’ve lead pricing projects from end to end, collaborating and communicating cross functionally to ensure success You’ve achieved your ACAS or FCAS You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R You’ve created and presented actuarial insights and recommendations to senior leadership, translating complex insurance analysis into clear, actionable strategies. Our estimated base pay range for this role is $150,000-$185,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.

Location: New York, New York, United States Actuary / Senior Actuary, Pricing DRIVE PROFITABLE GROWTH FOR THE BUSINESS About At-Bay At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever. At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies. Why you should join our Actuarial Pricing team: As an Senior Actuary on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth. You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Director, Pricing (Eric Murphy). You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk. Role overview: Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep professional lines knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business. You will lead the development of pricing models for new professional & general liability products and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for driving At-Bay’s professional lines product related initiatives and lead a wide variety of pricing projects, from inception to implementation, to understand the impacts and implications of pricing and underwriting initiatives on the business. As a Senior Actuary you will also be expected to manage up and cross functionally across various teams. How you’ll make an impact: By 3 months… You’ll understand At-Bay’s internal data structure and develop key relationships across the business You’ll have utilized the existing Cyber and Tech E&O rate plans, rater, forecasting tools and related data sources to analyze product performance and recommended actions to leadership based on your findings You’ll have a strong understanding of internal KPIs, developed benchmarks, and reviewed existing pricing segmentation and the overall rate adequacy of all products You’ll identify areas of improvement in our systems and processes and suggested solutions By 6 months... You’ll have proposed and implemented changes to the Cyber and Tech E&O rate plan, detailed rating rules and associated business logic for the new product and achieved alignment from key stakeholders You’ll have worked with the Insurance Product head and other Tech Product, Underwriting, Claims, and Decision Engine teams to develop new product(s), support new product implementation and developed new tools to measure performance You’ll have collaborated with our Cyber Research team to identify and analyze potential new features to be introduced to the rate plan, shared your research with key stakeholders and implemented it into our production risk model You’ll help coach individuals and managers to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business What you’ve accomplished already: You have experience analyzing profitability of developing personal and/or commercial lines products You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and presented the results to senior leaders from multiple disciplines You’ve lead pricing projects from end to end, collaborating and communicating cross functionally to ensure success You’ve achieved your ACAS or FCAS You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R You’ve created and presented actuarial insights and recommendations to senior leadership, translating complex insurance analysis into clear, actionable strategies. Our estimated base pay range for this role is $150,000-$185,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.

Location: Chicago, Illinois, United States Actuary / Senior Actuary, Pricing DRIVE PROFITABLE GROWTH FOR THE BUSINESS About At-Bay At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever. At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies. Why you should join our Actuarial Pricing team: As an Senior Actuary on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth. You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Director, Pricing (Eric Murphy). You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk. Role overview: Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep professional lines knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business. You will lead the development of pricing models for new professional & general liability products and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for driving At-Bay’s professional lines product related initiatives and lead a wide variety of pricing projects, from inception to implementation, to understand the impacts and implications of pricing and underwriting initiatives on the business. As a Senior Actuary you will also be expected to manage up and cross functionally across various teams. How you’ll make an impact: By 3 months… You’ll understand At-Bay’s internal data structure and develop key relationships across the business You’ll have utilized the existing Cyber and Tech E&O rate plans, rater, forecasting tools and related data sources to analyze product performance and recommended actions to leadership based on your findings You’ll have a strong understanding of internal KPIs, developed benchmarks, and reviewed existing pricing segmentation and the overall rate adequacy of all products You’ll identify areas of improvement in our systems and processes and suggested solutions By 6 months... You’ll have proposed and implemented changes to the Cyber and Tech E&O rate plan, detailed rating rules and associated business logic for the new product and achieved alignment from key stakeholders You’ll have worked with the Insurance Product head and other Tech Product, Underwriting, Claims, and Decision Engine teams to develop new product(s), support new product implementation and developed new tools to measure performance You’ll have collaborated with our Cyber Research team to identify and analyze potential new features to be introduced to the rate plan, shared your research with key stakeholders and implemented it into our production risk model You’ll help coach individuals and managers to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business What you’ve accomplished already: You have experience analyzing profitability of developing personal and/or commercial lines products You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and presented the results to senior leaders from multiple disciplines You’ve lead pricing projects from end to end, collaborating and communicating cross functionally to ensure success You’ve achieved your ACAS or FCAS You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R You’ve created and presented actuarial insights and recommendations to senior leadership, translating complex insurance analysis into clear, actionable strategies. Our estimated base pay range for this role is $150,000-$185,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.

Location: Remote (US) Actuary / Senior Actuary, Pricing DRIVE PROFITABLE GROWTH FOR THE BUSINESS About At-Bay At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever. At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies. Why you should join our Actuarial Pricing team: As an Senior Actuary on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth. You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Director, Pricing (Eric Murphy). You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk. Role overview: Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep professional lines knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business. You will lead the development of pricing models for new professional & general liability products and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for driving At-Bay’s professional lines product related initiatives and lead a wide variety of pricing projects, from inception to implementation, to understand the impacts and implications of pricing and underwriting initiatives on the business. As a Senior Actuary you will also be expected to manage up and cross functionally across various teams. How you’ll make an impact: By 3 months… You’ll understand At-Bay’s internal data structure and develop key relationships across the business You’ll have utilized the existing Cyber and Tech E&O rate plans, rater, forecasting tools and related data sources to analyze product performance and recommended actions to leadership based on your findings You’ll have a strong understanding of internal KPIs, developed benchmarks, and reviewed existing pricing segmentation and the overall rate adequacy of all products You’ll identify areas of improvement in our systems and processes and suggested solutions By 6 months... You’ll have proposed and implemented changes to the Cyber and Tech E&O rate plan, detailed rating rules and associated business logic for the new product and achieved alignment from key stakeholders You’ll have worked with the Insurance Product head and other Tech Product, Underwriting, Claims, and Decision Engine teams to develop new product(s), support new product implementation and developed new tools to measure performance You’ll have collaborated with our Cyber Research team to identify and analyze potential new features to be introduced to the rate plan, shared your research with key stakeholders and implemented it into our production risk model You’ll help coach individuals and managers to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business What you’ve accomplished already: You have experience analyzing profitability of developing personal and/or commercial lines products You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and presented the results to senior leaders from multiple disciplines You’ve lead pricing projects from end to end, collaborating and communicating cross functionally to ensure success You’ve achieved your ACAS or FCAS You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R You’ve created and presented actuarial insights and recommendations to senior leadership, translating complex insurance analysis into clear, actionable strategies. Our estimated base pay range for this role is $150,000-$185,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates Müller's Solutions is seeking an experienced Senior SAS & Credit Risk Systems Administrator to join our innovative team. In this role, you will be pivotal in managing and optimizing the SAS environment and overseeing credit risk systems, ensuring robust analytics and reporting capabilities that drive strategic decision-making. As a Senior Administrator, you will work closely with data analysts and risk management teams to support and enhance SAS applications, ensuring high system availability and optimized performance. Your expertise will help the organization navigate complex credit risk assessments and reporting requirements effectively. Key Responsibilities: Administer and maintain SAS software and credit risk systems, ensuring optimal functionality and performance. Oversee installation, updates, and configuration of SAS applications and related infrastructure. Provide technical support and troubleshoot issues related to SAS and credit risk systems. Collaborate with business users and data analysts to gather requirements and deliver effective SAS solutions for credit risk analytics. Monitor system performance and implement enhancements to meet evolving business needs. Develop and maintain documentation for systems administration procedures, processes, and standards. Ensure compliance with data governance policies, industry regulations, and best practices. Requirements 5+ years of experience in SAS administration and credit risk systems management. Strong understanding of credit risk frameworks, analytics, and reporting processes. In-depth knowledge of managing and operating SAS Analytics and Moody’s CreditLens systems. Minimum of 5 years of experience in SAS development and automation. Ability to read logs and analyze performance to proactively identify issues. Experience in report preparation . Familiarity with best practices in SAS Analytics and Moody’s CreditLens, including applying updates without impacting current operations. Must be fluent in Arabic . Hands-on experience with SAS software installation, configuration, and maintenance. Proficiency in scripting and automation to streamline SAS processes. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Relevant certifications related to SAS or risk management are a plus. Personal Skills: Strong analytical and organizational skills to understand business requirements and implement appropriate solutions. Effective communication skills with technical teams and end users. Training skills to guide users in efficiently utilizing different modules. Educational Qualifications: Bachelor’s degree in Computer Science , Software Engineering , or any related field. Specialized certification in developing or managing SAS Analytics or Moody’s CreditLens platform. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Can set technical direction for a team, not just execute within it Have deep experience with at least one of: Strong proficiency in programming languages like Python, Go, Java, or similar Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) Can navigate complex technical tradeoffs between performance, cost, security, and maintainability Have excellent collaboration skills - you work well with both technical and non-technical stakeholders Strong candidates may also have: Experience with security and compliance requirements (ITGC, GDPR, financial controls) Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure Experience with Kubernetes, containerization, and cloud-native architectures Track record of improving data reliability, availability, or cost efficiency at scale Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks Experience working in fintech, financial services, or highly regulated environments Security engineering background with focus on data protection and access controls Technologies We Use: Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran Storage: GCS, S3 Infrastructure: Terraform, Kubernetes, GCP, AWS Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States About Flosum Flosum is a leading DevOps and release management platform purpose-built for the Salesforce ecosystem. We serve Fortune 500 enterprises across regulated industries, helping them ship faster, stay compliant, and scale their Salesforce operations with confidence. We are entering an aggressive growth phase and are looking for exceptional leaders who can help us dominate our market and scale rapidly toward $100M+ in annual revenue. The Opportunity We are hiring a VP of Finance who is far more than a traditional finance executive. This is a hands-on, high-impact leadership role for someone who can serve as a true strategic partner to the CEO and executive team, wielding financial intelligence as a growth weapon. You will own the financial architecture of the business while simultaneously driving operational excellence across our go-to-market functions. You will be the person who figures out where every dollar should go to maximize growth velocity and ensures we are building a scalable, capital-efficient machine. This is not a role for someone who wants to sit back and produce reports. We need a builder and operator who can make a dent in the company from day one. What You Will Own Financial Strategy & Capital Allocation Own the company’s financial model, forecasting, and long-range planning with a relentless focus on accelerating growth to $100M ARR Determine where capital should be deployed across R&D, sales, marketing, and customer success to maximize ROI and speed to scale Build and maintain a capital allocation framework that balances aggressive growth with operational discipline Lead fundraising strategy, investor relations, and board-level financial reporting if and when external capital is pursued Go-to-Market Financial Operations Partner with sales, marketing, and revenue operations leadership to optimize GTM spend efficiency and pipeline economics Build financial models that connect marketing investment to pipeline generation, conversion rates, deal velocity, and revenue outcomes Establish and track unit economics (CAC, LTV, payback period, magic number) to inform GTM investment decisions at an enterprise SaaS level Provide financial oversight and accountability for GTM team performance, headcount planning, and quota/capacity modeling Budgeting, Planning & Operational Efficiency Own the annual budget process and quarterly business reviews, ensuring every function is aligned to growth targets Implement rigorous financial controls and reporting cadences without creating bureaucratic drag Identify inefficiencies and reallocate resources in real time to capitalize on what’s working Build dashboards and reporting that give the executive team instant visibility into financial and operational health Scaling the Business Serve as a strategic thought partner to the CEO on all growth decisions, including pricing, packaging, market expansion, and M&A Bring a deep understanding of SaaS business models and the levers that drive hyper-growth in enterprise software Help design compensation structures, commission plans, and incentive models that drive the right behaviors across the organization Evaluate and optimize vendor spend, technology investments, and operational costs to fund growth Requirements What We Are Looking For 10+ years of progressive finance leadership experience in B2B SaaS companies, with at least 3–5 years at the VP or CFO level Proven track record of scaling a SaaS company from the $10–30M range toward $100M+ ARR in a compressed timeframe Deep fluency in SaaS metrics, unit economics, and the financial mechanics of enterprise software businesses Exceptional command of go-to-market functions — you understand how sales, marketing, and customer success drive revenue, not just how to count it Experience managing or providing financial oversight to GTM teams, including headcount planning, territory modeling, and pipeline forecasting Hands-on operator who builds models, digs into data, and drives decisions — not someone who delegates everything to a team of analysts Experience in the Salesforce ecosystem or selling into Fortune 500 enterprises in regulated industries is a strong plus Outstanding communication skills with the ability to translate complex financial data into clear, actionable insights for non-financial stakeholders Missionary mindset — you take ownership, think independently, and care about the success of the company as if it were your own What Success Looks Like First 90 Days: Complete a full diagnostic of the company’s financial model, GTM spend efficiency, and unit economics Deliver a capital allocation recommendation identifying the highest-ROI growth investments Establish baseline KPIs and a financial reporting cadence that gives leadership real-time visibility First 6 Months: Implement a scalable financial planning and analysis framework tied directly to growth milestones Optimize GTM spend to measurably improve pipeline efficiency and reduce CAC payback period Partner with the CEO and revenue leadership to finalize the investment plan for scaling to $100M ARR First Year: The company has a clear, data-driven financial roadmap with capital deployed against the highest-impact growth levers GTM team operating at peak financial efficiency with transparent cost-to-revenue attribution Financial infrastructure is investor-ready and scalable for the next phase of growth Benefits Why Flosum Market Leadership: We are a category leader in Salesforce DevOps with deep enterprise traction and a product that Fortune 500 companies depend on Massive Opportunity: The Salesforce ecosystem is a multi-billion dollar market, and we are positioned to capture outsized share Impact: This is a company where one person can make a transformational difference. You will not be a cog — you will be a catalyst Culture: We value missionaries over mercenaries, ownership over politics, and results over posturing Competitive base salary commensurate with experience Performance-based bonus tied to community growth and engagement milestones Equity participation Full benefits package (health, dental, vision, 401k) Remote-first flexibility with travel budget for in-person executive engagements as needed

Location: United States At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in sharing knowledge to enhance overall customer satisfaction and product improvement. Job Duties and Responsibilities: Handle complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge. Resolve all categories of customer technical issues (questions, tasks, and problems) through diligent research, reproduction, and troubleshooting per the organizational goals. Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues. Provide high-quality customer engineering assistance that results in high customer satisfaction. Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale. Attend meetings with clients to analyze, troubleshoot and diagnose problems. Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback. Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention. Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams that will improve our customers' successful use of our products and drive adoption. Operates with minimal guidance on daily tasks and receives high-level directives when taking on new initiatives. Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact. Participate in a 24/7 on-call rotation, providing after-hours support for critical issues. Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base. Proactively communicate to avoid escalations and negative customer satisfaction. Author technical documents on common issues and solutions to build the knowledge base and participate in communities. Support weekend shifts on a rotational/as-needed basis if requested. Lead support initiatives for the betterment of the organization and team. Other duties and responsibilities as assigned. Skills You Must Have: Bachelor's degree in Computer Science or equivalent field of study. 3+ years of experience with on-premise or cloud Data Unification solutions. 3+ years of experience supporting enterprise products in SaaS in a customer-facing role. 3+ years of experience with Public Clouds AWS/GCP/Azure and their services. 3+ years of experience with REST APIs and integration tools. 3 + years of previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications. Experience in data management, master data management, analytics, and big data platforms and technologies. Experience in hands-on programming (ex. Python, Java). Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Experience with RESTful API development and debugging, Postman. Experience with web UI development with JavaScript frameworks. Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology. Skills That Are Nice to Have: MS in computer science or equivalent experience preferred. Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $77,000 — $162,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Senior Partner Account Manager (PAM) to own our relationship with one to two of the world's largest global systems integrators. This is a general-management role disguised as an alliance role: you will set the multi-year joint strategy with the partner's C-suite, negotiate the strategic agreement that underpins it, and then build the machine — go-to-market, solution co-development, delivery readiness, and enablement at a scale of tens of thousands of practitioners — that turns Claude into one of the partner's largest and fastest-growing practices. You will be measured on the size and health of the joint business: progress against a $1B+ Claude practice plan, Anthropic ARR sourced and influenced through the partner, certified and delivery-ready practitioners (50,000+), co-developed solutions in market with reference-able customers, and the depth of executive alignment on both sides. Key responsibilities Own the joint business. Build and run a multi-year joint business plan with each GSI covering services bookings, Anthropic ARR, priority industries and geographies, investment, and headcount. Report on it to Anthropic and partner executive leadership quarterly. Lead at the C-suite. Be the primary Anthropic relationship owner for the partner's Group CEO, service-line and industry CEOs, CTO/Chief AI Officer, and Chief Learning Officer. Map and activate Anthropic executive sponsors, run CEO-level QBRs, and shape the partner's public AI narrative (earnings calls, analyst days, flagship events) around Claude. Negotiate the strategic agreement. Structure and close multi-year strategic collaboration agreements spanning consumption and resale commitments, co-investment and market development funds, co-marketing, IP and solution terms, and enterprise-wide internal deployment of Claude across the partner's own workforce. Co-develop solutions. Partner with Anthropic Product, Applied AI, and the GSI's CTO office to co-build industry and horizontal offerings, agentic and Claude Code delivery accelerators, and reference architectures; take them to market with named launch customers and published references. Build a 50,000+ practitioner practice. Design and land a certification and delivery-readiness system inside the partner — embedded in their academy/L&D, train-the-trainer led, tied to Claude Partner Network tier requirements — and hold the partner accountable to capability they build themselves rather than capacity Anthropic supplies. Drive global co-sell. Stand up joint account planning and pursuit governance with Anthropic field leadership across NA, EMEA, and APAC; personally engage on the largest strategic pursuits; ensure clean attribution through deal registration and CRM discipline. Run alliance governance. Establish and chair a joint steering committee with named workstreams (GTM, solutions, delivery readiness, enablement, marketing), clear owners on both sides, and a published operating cadence. Lead through others. Orchestrate a global virtual team of partner solutions architects, partner marketing, enablement, regional PAMs, and sales leaders; mentor PAMs across the team; scope and make the case for dedicated resourcing as the business scales. Shape the program. Bring the voice of the largest GSIs into Anthropic's partner strategy, Elite-tier program design, and product roadmap. Minimum qualifications 15+ years in alliances, partner sales, or consulting leadership, including 8+ years owning a top-tier GSI relationship (e.g., IBM, NTT Data, Capgemini) at a hyperscaler or category-defining enterprise software/AI company — or the mirror-image role leading a hyperscaler/AI alliance from inside a GSI. A track record of personally building or scaling a partner practice to $500M–$1B+ and tens of thousands of trained practitioners, with the joint business plan, governance, and metrics to show for it. Demonstrated C-suite presence: you have set agendas with GSI Group CEOs and service-line leaders, and you can hold a strategy conversation and a commercial negotiation in the same meeting. Experience negotiating and closing multi-year strategic collaboration agreements with nine-figure commitments. Fluency in GSI economics — utilization, pyramid, offering margin, industry P&Ls, delivery-center models — and how a new technology practice actually gets funded and staffed inside one. A strongly commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable pushing a partner to invest in its own capability. Global operating experience across NA, EMEA, and APAC, including time with India-based delivery leadership. Low ego, high curiosity, and a habit of making the people around you better; you put the mission ahead of personal credit. Preferred qualifications Experience launching co-developed partner solutions with a product/engineering organization, including agentic or developer-tooling offerings. Prior ownership of a large-scale partner certification or academy program. Hands-on familiarity with Claude, Claude Code, LLM application architectures, and enterprise AI deployment and governance. Experience at a high-growth company where the program was being built while the plane was flying. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Germany Workplace: hybrid Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For:Senior Solutions Consultant to support the development of the DACH Region providing technical expertise and experience to the team, customers, and partners. As a Solutions Consultant, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you will illustrate the value that Creatio’s platform can provide. You must be able to engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process.The role is based in Germany.Responsibilities:Customer Oriented:Conduct key customer meetings with Sales Executives, offering technical expertise and support on product development roadmap.Develop vision and strategies for CRM and BPM opportunities, designing/configuring custom demos, presentations, training, and supportive materials.Deliver product demonstrations to key accounts, tailored to match customer expectations and needs.Assist in the production of RFPs and other proposals to clients.Design and deliver high quality technical Proof of Concepts for prospective customers.Represent products to customers and at field events such as conferences, summits, seminars, etc.Partner Oriented: Communicate company vision to key prospect partners, aiding in their understanding of our product roadmap.Assist partners in defining sales strategies based on product specifics and capabilities.Company and Team-Oriented:Perform competitor analysis and provide feedback to R&D and Product teams, contributing to product development and Sales Enablement.Participate in defining deal-win strategies and region development strategies.Present technical and business aspects of proposed solutions to a C-Level audience.Requirements:Minimum 5 years of experience as a Solutions Consultant (Presales) in the SaaS/ PaaS industry, with a proven track record of success in handling complex sales deals, that involves sales scenarios (e.g. custom POCs and demos).Technical depth to respond to all functional and technical elements of RFIs/RFPs.Demonstrated experience working closely with C-level managers on the client side, understanding their needs, and providing tailored solutions.In-depth knowledge of the DACH market dynamics, including industry trends, competitor landscape, and regulatory environment.Experience in CRM, BPM, No-Code/Low-Code Platforms will be a plus.Strong communication and presentation skills, with the ability to articulate complex concepts clearly and convincingly.Proven success conveying customer requirements to Product Management teams.Recent experience programming within a modern web or enterprise development systems will be a plus.Familiarity in production environments (application servers, web servers, databases) will be a plus.Proven ability to work independently as well as collaboratively in cross-functional teams.Good command of English.Fluent German (C1/C2 or native level) is required, as the role involves working closely with partners and stakeholders across the DACH region. Professional communication in German is essential.Strong analytical and strategical problem-solving skills, with the ability to think out of the box, identify opportunities and drive results.Willingness to travel as needed to meet with clients and attend industry events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research. What you’ll own Data strategy and delivery Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates. Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions. Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act. People and organization Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows. Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence. Analytics engineering and the data platform Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads. Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform. Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision. Product analytics and experimentation Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation. Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release. Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision. Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small. Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again. Metrics, self-service, and AI-assisted analytics Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently. Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request. Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation. Data culture and industry research Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities. Lead original research for the Workato Automation Index and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use. Requirements What you bring 10+ years in analytics, data science, or a related quantitative field , including experience leading senior practitioners, developing managers, and scaling teams. Data engineering and modeling expertise. You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt. Data cataloging and governance experience. You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable. B2B product and analytical judgment. You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward. Cross-functional leadership. You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives. Practical AI fluency. You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus. What success looks like Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change. Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries. Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs. Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving. (REQ ID: 2538)

Location: Clarksville, TN Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. We are currently seeking a Bilingual Material Planner (English/Korean speaking) to join our Dynamic Team in Clarksville, TN as part of the Material Team! Starting wage of $60,000 annually and up based on experience. In this position you will coordinate purchasing activities with manufacturing and engineering departments to acquire inventory in a cost effective and timely manner.   You will also acquire and maintain technical understanding of products purchased, monitors the cost, schedule and scope of assigned subcontracts to assure highest quality at best value. Perform cost analysis and volume planning for major commodities. Obtain materials, components, equipment and services while ensuring security and accountability of inventory through transaction documentation, process and procedure verification, and system review. Analyze and when able, corrects cycle count discrepancies.  Audit incoming and in & outgoing shipments to assure quality and accuracy. Compile and document all transactions for data entry. Responsibilities: Reviews, analyzes, and resolves expectations and error reports from master data management and ERP planning modules Establish and monitor finished goods inventory levels to ensure on-time compliance to customer release requirements while minimizing carrying and premium freight costs. Review department/plant measurable (customer delivery, supplier delivery, premium freight and inventory) and establish corrective measures for performance adherence. Facilitates the resolution of supplier inbound Quality Issues. Support product supply and inventory plans consistent with the objectives of the business or product line. Rescheduling materials for pull ins (expedites) and push outs (for inventory control) Achievement of daily, monthly and annual team targets (KPI) Adheres to yearly budget and carries out the plan to meet that budget Aligns Innovation team to forecast and reduces labor expense, forecasts, tracks and escalates as necessary Responsible for establishing and promoting a safe working environment and establishes and monitors compliance activities to support the safety program Develop knowledge of Material Requirements Planning by assisting Supply Analysts plan the phase in and/or phase out of products. Identify unique components for products being phased out or inactivated Preparing mechanisms for tracking inventory of unique components to insure use up plan to minimize excess and/or obsolete inventory is successful. Monitor product phase-in/out plans to Minimize excess or obsolete inventory and issue progress reports during the phase out period. Realizing a sense of urgency around business imperatives and convincing others of that urgency. Setting well-defined goals to meet business challenges and ensuring performance against those goals. Overcoming obstacles to drive initiatives and actions to closure. Skills: Ability to accept change and adapt to a variety of assignments in a fast-paced environment Capability for MS Office (Excel, PowerPoint, Word), and Microsoft Outlook Ability to be self-directing, manage time and priorities effectively, take initiative, exercise good judgment, and manage multiple priorities to meet deadlines Effective communication (verbal and written), interpersonal and collaboration skills Requirements: Bachelor's Degree Working knowledge and ability to use MS Office applications, specifically MS Excel and MS PowerPoint for reports, data analysis, etc. Ability to navigate and teach Enterprise Resource Planning (ERP) IT Systems such as Oracle, SAP, etc. Flexible work hours and available for weekends Bilingual-English & Korean Occasional travel (international and domestic) Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .