Solutions Engineer (AI/ML, Pre-Sales) (Redwood City)

Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy. At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data. This role is based in Redwood City, CA. We are in office 4 days a week. About the Role We are looking for a highly technical Solutions Engineer with deep ML and AI platform experience to support customers in a pre-sales role. In this role, you will partner closely with our most strategic prospects to deeply understand their data curation needs, technical constraints, and business goals, and to design scalable solutions that demonstrate the impact of DatologyAI’s platform. This role requires strong hands-on understanding of modern LLM/VLM training and evaluation. You will work directly with customer ML teams to design PoCs that connect data curation decisions to measurable outcomes in model quality, training efficiency, and downstream performance—across the full lifecycle of training (pre-training, mid-training, and post-training), and with rigorous evaluation plans and reporting. What You’ll Work On Embed deeply with strategic customers to understand their data curation needs, business challenges, and technical requirements in detail. Lead end-to-end customer PoCs that connect data curation, training behavior, evaluation outcomes, including dataset analysis, training plan design, and results interpretation. Partner with customer ML teams to map data & curation strategy Design and execute evaluation plans for base and post-trained models, selecting appropriate benchmarks/metrics, and running model evaluations Produce customer-ready evaluation reports: methodology, metrics, baselines, ablations (e.g., curated vs raw), conclusions, and recommended next steps for productionization. Communicate technical results to both ML experts and exec stakeholders, including tradeoffs in compute, latency, and deployment cost. Collaborate closely with GTM, Engineering, and Research teams to ensure seamless customer experiences, deliver compelling demos, align on requirements, and bring customer insights into actionable model training and product strategies. Provide technical guidance, training, and clear documentation to ensure prospects can confidently assess the solution. About You 4 years of experience in software, ML platform, solutions, or customer engineering roles, with significant experience driving technical pre-sales engagements and PoCs. Strong practical expertise in ML model training, including how models are trained and improved across pre-training, domain-specific mid-training, and post-training, such as supervised fine-tuning and reinforcement learning. Demonstrated ability to design, run, and interpret model evaluations for base and post-trained models: choosing metrics/benchmarks, building or using evaluation harnesses, analyzing results, and presenting findings clearly with customers. Strong programming skills in Python (or equivalent); able to prototype quickly and iterate with customers. Experience with data processing / distributed systems (e.g., Spark, Ray, data lakes/warehouses) and comfort working with large-scale datasets. Familiarity with modern ML infrastructure: PyTorch/Hugging Face ecosystems, distributed training concepts, and deployment environments across cloud/on-prem/hybrid. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes). Strong communication skills, with the ability to translate complex ML and systems topics for diverse audiences. Required to travel to customer sites as needed to support pre-sales engagements. Compensation At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $230,000 to $300,000 OTE. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance. We offer a comprehensive benefits package to support our employees' well-being and professional growth: 100% covered health benefits (medical, vision, and dental). 401(k) plan with a generous 4% company match. Unlimited PTO policy Annual $2,000 wellness stipend. Annual $1,000 learning and development stipend. Daily lunches and snacks are provided in our office! Relocation assistance for employees moving to the Bay Area. J-18808-Ljbffr

Solution Architect - VP (Hanover Township)

Job Overview Job Description Purpose of the role To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Accountabilities & Responsibilities Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation, etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations. Solutions that appropriately balance risks and controls to deliver the agreed business and technology value. Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate. Fault finding and performance issues support to operational support teams, leveraging available tooling. Solution design impact assessment in terms of risk, capacity and cost impact, including estimation of project change and ongoing run costs. Development of the requisite architecture inputs required to comply with the bank’s governance processes, including design artefacts required for architecture, privacy, security, and records management governance processes. Leadership & Strategy To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and elevate breaches of policies/procedures. Define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. Lead specialists to influence the operations of a department, in alignment with strategic and tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. Demonstrate clear leadership behaviours that create an environment for colleagues to thrive and deliver to a consistently excellent standard. L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. As an individual contributor, act as a subject matter expert within own discipline, guide technical direction, lead collaborative, multi‑year assignments, coach less experienced specialists, and provide information affecting long‑term profits, organisational risks, and strategic decisions. Advise key stakeholders—including functional leadership teams and senior management—on functional and cross‑functional areas of impact and alignment. Manage and mitigate risks through assessment in support of the control and governance agenda. Collaborate with other areas of work to keep up to speed with business activity and business strategies. Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives, and adopting outcomes of extensive research in problem‑solving processes. Seek out, build, and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives using influencing and negotiating skills to achieve outcomes. Qualifications & Experience Experience designing front‑office or Markets technology solutions across Sales workflows, client onboarding, trading enablement, and post‑trade handoffs. Considerable workflow design knowledge across lifecycle states, accountability, approvals, maker‑checker supervision, exceptions, audit trails, service‑level agreements, and monitoring. Experience modernising legacy platforms with reusable services, integration contracts, canonical data models, and clear migration paths. Familiarity with applied AI patterns such as extraction, summarization, semantic search, workflow assistance, routing, triage, recommendations, and human‑in‑the‑loop review. Ability to explain architecture through diagrams, proof‑of‑concept findings, trade‑offs, non‑functional requirements, and implementation guidance; direct experience with Java microservices, REST APIs, event‑driven architecture, cloud/container platforms, CI/CD, observability, resiliency, scalability, and performance. Other highly valued skills include: Camunda, BPMN workflow modeling, Kafka, or similar event‑driven messaging experience; Applied AI experience such as extraction, summarization, semantic search, workflow assistance, routing, triage, recommendations, or human‑in‑the‑loop review; domain exposure to Sales workflows, client onboarding, trading enablement, trade capture, allocation, confirmations, exceptions, or post‑trade handoffs. Assessment may cover risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job‑specific technical skills. Location & Compensation This role is located in Whippany, NJ office. Minimum Salary: $170,000 Maximum Salary: $230,000 (base salary only; does not include other compensation or benefits). Benefits Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental, and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances. This position is eligible for an incentive award. J-18808-Ljbffr

Associate Director, Regulatory Affairs (on-site) (Alameda)

The Opportunity This Associate Director Regulatory Affairs will work on‑site out of our Alameda, CA location in the Diabetes Care Division. We’re focused on helping people with diabetes manage their health with life‑changing products that provide accurate data to drive better‑informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. This is an exciting opportunity to shape and execute regulatory strategies across the total product life cycle, driving innovation in next‑generation diabetes management and digital health technology solutions. The individual has department‑level influence, is experienced in leading and developing high‑performing teams, and is generally recognized as an expert resource both within Abbott and externally. The individual will play a critical role in anticipating and influencing evolving regulations and guidance, lead complex change initiatives, interface with outside regulatory agencies and trade associations, and advise executive management with strategic insights and key regulatory metrics. This is an opportunity to make a meaningful impact on patient access and innovation, while elevating your visibility and leadership within a dynamic, mission‑driven organization. What You’ll Work On Develop global regulatory strategies for product development and planning throughout the lifecycle. Analyze and compare regulatory outcomes with initial product concepts and recommend future strategies and actions. Provide technical leadership and strategic input on complex issues to business units. Anticipate regulatory obstacles and emerging issues throughout the product lifecycle and develop solutions with other members of regulatory and related teams. Develop and communicate a vision for the organizational unit assigned. Create project plans and timelines. Lead functional groups in the development of relevant data to complete a regulatory submission. Write and edit technical documents. Recruit, develop and manage regulatory professionals. Evaluate performance of and assist in career development planning for subordinates. Administer/meet regulatory requirements to achieve excellent compliance status with no enforcement actions. Negotiate with regulatory authorities during the development and review process to ensure submission approval. Review and approve labeling to ensure compliance. Monitor emerging issues and identify solutions. Negotiate internally and externally with regulatory agencies. Identify need for new regulatory policies, processes and SOPs and approve them. Evaluate regulatory risks of corporate policies. Oversee processes involved with maintaining annual licenses, registrations, listings and patent information. Ensure compliance with product post‑marketing approval requirements. Develop, implement and manage appropriate SOPs and systems to track and manage product‑associated events. Actively contribute to the development and functioning of the crisis/issue management program. Analyze product‑associated problems and develop proposals for solutions. Oversee system to ensure that product safety issues and product‑associated events are reported to regulatory agencies. Provide regulatory input for product recalls and recall communications. Required Qualifications Bachelor's degree. 5-7 years’ experience in a regulated industry (e.g., medical products). 5-7 years’ experience in regulatory preferred but may consider quality assurance, research and development/support, scientific affairs, operations, or related area. Note: Higher education may compensate for years of experience. Preferred Qualifications Bachelor's degree in computer science, math, engineering, or medical fields. M.S. in a technical area or M.B.A. is preferred. A Ph.D. in a technical area or law is helpful. Certification is a plus (such as RAC from the Regulatory Affairs Professionals Society). Experience with Class III US and EU submissions and Software as a Medical Device (SaMD). Experience with FDA QSR and EU MDR and interfacing directly with regulatory authorities. 7-10 years’ experience in a regulated industry. Regulatory area is preferred but may consider software or systems research and development, or related area. Ability to work effectively on cross‑functional teams. Must be able to juggle multiple and competing priorities. Strong written, verbal, presentation, and organizational skills. Has a sound knowledge of a variety of alternatives and their impact on the business. The base pay for this position is $148,700.00 – $297,300.00. In specific locations, the pay range may vary from the range posted. Abbott is an Equal Opportunity Employer, committed to employee diversity. J-18808-Ljbffr

Software Engineer, Infrastructure (Redwood City)

Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy. At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data. This role is based in Redwood City, CA. We are in office 4 days a week. About the Role We're looking for an experienced Infrastructure Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our data infrastructure capabilities, including multi-cloud support and support for various deployment models, as well as training and inference infrastructure. You will have a broad impact on the technology, product, and our company's culture. What You'll Work On Design and build the development and production platforms that power our products, enabling reliability and security at scale Architect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment models Accelerate company productivity by empowering your fellow engineers & teammates with excellent tooling and systems, providing a best-in-case experience Partner with researchers and engineers to bring new features and research capabilities to our customers About You Have meaningful experience in spearheading and constructing large-scale infrastructure Proficiency in bash, Kubernetes, Python, and/or Terraform or similar technologies Have experience working with AWS, other cloud platforms such as Azure or GCP and/or on-prem environments Have expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks Take pride in building and operating scalable, reliable, secure systems Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done We would love it if you had: Built out data infrastructure from, or nearly from, scratch at a fast-growing startup. Experience building ML/DL infrastructure and/or data infrastructure that feeds into training large ML models Don’t meet every single requirement? We still encourage you to apply. If you’re excited about our mission and eager to learn, we want to hear from you! Compensation At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The base salary for this position ranges from $180,000 to $250,000. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance. We offer a comprehensive benefits package to support our employees' well-being and professional growth: 100% covered health benefits (medical, vision, and dental). 401(k) plan with a generous 4% company match. Unlimited PTO policy Annual $2,000 wellness stipend. Annual $1,000 learning and development stipend. Daily lunches and snacks are provided in our office! Relocation assistance for employees moving to the Bay Area. J-18808-Ljbffr

Appian Principal Developer Consultant - Civilian (Iowa)

Who Are We? Groundswell is a premier technology integrator and solution provider, resolutely committed to solving the most complex challenges facing federal agencies today. Our name, Groundswell, represents our commitment to be an unstoppable, seismic change in government. Ours is a small company culture with big company reach and results. Are you ready to be audacious, be bold and drive change at a rapid pace? Join us, where we'll make a greater impact together. What You'll Do Groundswell is looking for experienced Appian Consultants to provide leadership for our delivery teams and act as a trusted advisor to our clients. Principal Appian Developer Consultants help scale our business by providing expert guidance on solution delivery and designing and integrating cutting‑edge Appian solutions into our client's architecture. In addition, this role and level will mentor our delivery teams on best practices for advanced technical solutions and platform design, work with our clients on the most technically challenging Appian programs, and implement internal processes and tools to improve the efficiencies of the business. Key Responsibilities Lead implementation teams through complex technical solutions with Appian and tangential technologies Guide clients on Agile, QA, and governance for multi‑app platform implementations Support design, development, and test activities across multiple client projects Support large scale implementation teams consisting of multiple development pods Guide clients on architecture design, platform scalability, configuration management, DevSecOps, and other program initiatives as needed to drive technical success Ensure solutions are built for scale and performance Create and document implementation best practices as well as knowledge base articles for internal enablement Provide thought leadership on process improvement Support internal solutions, infrastructure, and tools Mentorship, training, and enablement of resources Required Qualifications 5 years of experience with Appian solutions 5 years of related IT experience Bachelor's Degree (or equivalent) or higher in Computer Science, Information Systems, Systems Engineering, or related area Active Lead Certification Expert experience with Appian delivery using an Agile methodology Strong technical design and implementation and problem‑solving skills Strong communication skills and ability to convey complex concepts in an easy‑to‑understand manner, both verbally and written; active listening skills to gather key information from internal and external partners; analytical and strategic foresight Strong organizational skills, attention to detail, ability to work in a high‑paced environment, multi‑task (prioritize and manage), and work both independently and as a team (team‑building skills including courtesy, professionalism, and a do whatever it takes attitude) RDBMS (e.g. Oracle, SQL Server, MySQL/MariaDB) Web services, Integrations and Middleware (e.g., RESTful/SOAP, Mule/IIB/Fusion) Preference given to candidates local to the DC Metro area US Citizenship required Must be willing to travel (0‑15%) to Washington, DC for client meetings as needed Preferred Skills UI/UX Design Cloud Computing/IaaS (e.g., AWS, Azure, Google Cloud) Authentication (e.g., SAML, Kerberos, OAuth, LDAP) Data management and data visualization/BI DevSecOps and/or Configuration Management Machine Learning, Artificial Intelligence Benefits Comprehensive medical, dental, and vision plans Flexible Spending Account 4% 401K Match (immediate vesting) Paid Time Off Tuition reimbursement, certification programs, and professional development Flexible work schedule On‑site gym and childcare option Compensation The salary range for this role is $128,590.00 - $180,783.00. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled. At Groundswell, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $128,590.00 - $180,783.00. Equal Opportunity Employer Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. J-18808-Ljbffr

Senior Data Scientist (Miami)

Role:Senior Data Scientist (with AI and ML experience)Location: Miami, Florida hybrid –Onsite Tuesdays & Wednesdays, remote Mondays, Thursdays & FridaysCompensation:$150K Performance BonusJob Type: Full Time/PermJob Code: 7302 Our client is pursuing new advances within the cruise, hospitality, and wellness industry. Role Overview:We seek a Senior Data Scientist with experience in AI and ML to join our dynamic team.The candidate will leverage vast data to develop models and algorithms to drive business solutions and enhance the company’s data-driven decision-making process. The ideal candidate will have a deep understanding and extensive experience in data science, including machine learning, predictive modeling, and data visualization. Essential Tasks and Responsibilities: Managing large and complex datasets, developing advanced analytics processes and programs, and ensuring data accuracy. Leading and developing machine learning models and algorithms to extract business insights and drive solutions. Developing custom data models and algorithms to apply to datasets. Collaborating with cross-functional teams to assess the effectiveness and accuracy of new data sources and data-gathering techniques. Maintaining and enhancing the business’s AI and ML solutions. Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Creating processes and tools to monitor and analyze model performance and data accuracy. Coordinating with different functional teams to implement models and monitor outcomes. Presenting findings and data insights to key stakeholders and providing recommendations for business improvements. Ensuring compliance with data privacy and protection regulations. Staying updated with emerging technologies and developments in data science and implementing new methodologies as needed. Mentoring other data scientists and data analysts, providing guidance and support in their career growth. Crucial Relationships: Internal stakeholders External partners Leadership Financial Competences: Annual budget BI Solutions Licensing and Maintenance Cost Cost Optimization Applicable project targets and metrics Organization’s Key Results Gross and net revenue performance Skills and Knowledge: Ability to work in a fast-paced, dynamic environment. Experience with AI/ML technologies and LLMs (e.g., ChatGPT) Strong knowledge of machine learning models, statistical modeling techniques, and data mining. Proficiency in database architectures and development languages like MS SQL, Azure SQL, Cosmos DB. Experience using data visualization tools and data frameworks. Proficiency in programming languages like Python, R, or Scala. Strong problem-solving skills and ability to think critically and conceptually. Excellent communication and presentation skills. Familiarity with cloud services (AWS, Google Cloud, etc.) and experience with distributed data/computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is a plus. Strong project management and organizational skills. Qualifications: Proven experience as a Data Scientist or similar role. 5 years of commercial experience Proven experience in working with a global team Wellness, Fitness, Cruise, Travel, or Hospitality industry experience preferred Advanced degree in Computer Science, Statistics, Mathematics, or a related field. Values: Team’s Collaboration Find a Way or Make One Do the Right Thing Better Tomorrow Than Today Open and Honest Communication Walk the Talk Simple and Fast Nurture Employees Pay It Forward Not for you? Sherlock loves to share $1,000 referral success bonuses! [email protected] J-18808-Ljbffr

Vice President, Global Compensation & Benefits (Atlanta)

Job Category : People and Culture Requisition Number : VICEP002389 Posted : May 7, 2026 Full-Time Hybrid Locations Showing 1 location US Atlanta Corporate 3560 Lenox Road NE Suite 2200 Atlanta, GA 30326, USA Description Overview: Founded in 1988, Trimont ( ) is a specialized global commercial real estate loan services provider and partner for lenders and investors seeking the infrastructure and capabilities needed to help them scale their business and make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit. As the largest master servicer of commercial real estate loans in the United States, Trimont manages securitizations with meticulous oversight and coordination—protecting cash flows, mitigating risk, and ensuring portfolio performance. We do this with a team of 1100 extraordinary team members who serve a global client base from offices in Atlanta (headquarters), Bengaluru, Charlotte, Dallas, Hyderabad, Kansas City, London, New York and Sydney. We empower our people with advanced technology, industry-leading knowledge, and a culture centered on our core values. This approach enables our teams to deliver exceptional client service, build lasting relationships and take pride in the high-quality work they perform. Trimont is an innovative firm where visionary professionals come to learn, grow, and thrive with colleagues driven by curiosity and collaboration. Learn: We believe ongoing learning is critical and are focused on providing a work environment where all team members can take ownership of their careers. Grow: We work alongside the largest institutional lenders in the world, overseeing the most significant projects in the industry. This unique opportunity allows us to broaden our skillset and develop our abilities by tackling some of the industry's most challenging and exciting endeavors. Thrive: Our firm is a place where ethics and excellence meet to create an experience that matches our capabilities. There are no limits to what we as team members and as an organization, can achieve together. Where people, purpose, and progress come together every day. Job Summary: The Vice President, Global Compensation, Benefits & Total Rewards, will be based in Atlanta, GA. This is a senior, hands‑on leader responsible for owning and executing all aspects of global compensation, benefits, and payroll operations across the United States, United Kingdom, Australia, and India. This role is responsible for defining global compensation, benefits and total rewards strategy while actively leading execution, including global compensation benchmarking for competitiveness, executive compensation structures, annual compensation cycles, incentive programs, HRIS tools, M&A integrations, payroll processing and benefits administration. Reporting to the Chief People & Culture Officer, the Vice President, Global Compensation, Benefits & Total Rewards will be responsible for leading and developing a team. Responsibilities: Define and execute a global total rewards strategy aligned with business objectives. Own end‑to‑end global payroll operations for the US, UK, Australia, India and any potential future locations. Design and administer global compensation structures, salary bands, and job architecture. Lead annual compensation cycles, including merit increases, promotions, bonuses, equity, and incentive plans. Manage global benefits strategy and broker/vendor relationships. Lead compensation, benefits, and payroll integration for mergers and acquisitions. Own HRIS compensation, payroll, and total rewards tools. Build, develop and lead a global team. Partner with People & Culture, Finance, Legal, and executives and all levels of global leadership. Required Qualifications 7 years of experience in global compensation, benefits and payroll position 5 years leading and developing a global team Extensive experience leading global compensation, benefits, and payroll. Hands‑on ownership of payroll, benefits administration and total rewards programs. Expert knowledge of US, UK and India compensation, payroll, and benefits requirements. Proven mergers and acquisitions integration experience. Experience leading and developing international teams. Strong verbal and written communication skills Demonstrated capacity to achieve results in a dynamic setting. Organizational and administrative skills that reflect attention to detail and the ability to prioritize amidst competing demands. Skilled in managing sensitive information while upholding privacy. Handling workload and special projects efficiently. Ability to work both independently and within a team environment. Trimont is an equal opportunity employer, and we’re proud to support and celebrate diversity in the workplace. If you have a disability and need an accommodation or assistance with the application process and/or using our website, please contact us. We are proud to maintain a drug‑free policy, ensuring that our community is a secure and productive space for all our team members. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor. J-18808-Ljbffr