Customer Evidence Manager Jobs

At Veriforce, we help companies in high-risk industries keep their people, worksites, and supply chains safe and compliant. As a global leader in contractor and supply chain risk management, our SaaS platform simplifies contractor onboarding, credentialing, and compliance while providing powerful analytics and insights. Beyond software, we offer expert support, training, and consulting so our clients can operate with confidence. Together, we’re making workplaces safer every day. We’re looking for a Health & Safety SSIP Assessor to join our team, carrying out desktop-based assessments of contractors against recognised Health & Safety, compliance and SSIP standards. You’ll review contractor submissions and supporting evidence, applying your Health & Safety knowledge and professional judgement to determine whether the required standards have been met before accreditation is awarded. As a Health & Safety SSIP Assessor, you’ll: Complete proportionate, risk-based desktop Health & Safety and SSIP assessments. Review contractor documentation, evidence and compliance information against defined assessment criteria. Apply UK Health & Safety legislation, industry standards and best practice when making assessment decisions. Review Health & Safety documentation and supporting compliance evidence. Make informed decisions on whether contractors have demonstrated the required standard for accreditation. Contact customers and contractors by phone and email to obtain information and supporting evidence. Clearly explain non-conformances and provide constructive feedback where improvements or additional evidence are required. Provide Health & Safety advice and guidance to customers. Produce clear, detailed and accurate assessment reports. Deliver excellent levels of customer service throughout the assessment process. Manage your workload while meeting expectations around productivity, accuracy, consistency and assessment quality. Work collaboratively with a wider team of Health & Safe

About the job Keep the Linux systems behind Graphcore’s engineering and manufacturing work reliable, secure and ready for what comes next. As a Linux and Manufacturing Support Engineer in Taipei, you’ll support the infrastructure our people depend on every day. You’ll solve problems directly, from support requests to complex Linux and network issues. You’ll manage Debian and RedHat environments across bare metal and virtual machines. You’ll also maintain core services, including DNS, DHCP and NFS, while supporting on-premises servers and engineering workflows. You’ll assess and deliver security patching, automate infrastructure changes through Infrastructure-as-Code, and keep technical knowledge clear and current. Your work will span hands-on support and deeper infrastructure challenges, giving you direct ownership of systems that matter. With new projects ahead, you’ll have scope to improve how infrastructure is deployed, supported and maintained. The team and culture You’ll join a multidisciplinary Infrastructure Solutions team where people solve problems together and share technical knowledge openly. You’ll work closely with engineering teams while taking ownership of issues through to resolution. The team moves from diagnosis to action quickly, using evidence and methodical troubleshooting to guide decisions. You’ll be encouraged to speak up, improve established approaches and document what others need to move faster. What we’re looking for · Strong Linux administration skills across Debian and RedHat derivatives, on bare metal and virtual machines · A methodical approach to troubleshooting, with the ability to diagnose and resolve complex technical issues · Strong system administration experience, including responsibility for core infrastructure services · Experience managing Infrastructure-as-Code using Puppet, Ansible or similar, with Git version control · Good networking knowledge, including VLANs, routing and subnetting · Clear communication and customer se

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Data Team: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: Self-serve AI analytics tools (Hex, Snowflake) Embedding with teams as a “data adviser”, providing strategic analysis and consulting What You'll Do: Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting Influence work on new products like LLM Inference Endpoints through product analytics tracking Identify millions of dollars of cost savings and optimization across our tools and financial operations Write data pipelines that power the operations of our business, such as ou

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Scope This is a unique opportunity to lead and develop advanced water treatment systems at Micron. As a Senior Process Water Engineer, you will drive the smooth implementation of projects related to RODI, WWTP, water reclaim, and scrubber systems. You will establish project scope and supervise construction to ensure exceptional quality and safety standards are preserved. Responsibilities: Lead and coordinate projects to ensure timely, safe, and quality execution at site. Monitor project scope, schedule, cost, quality, and safety performance, advancing risks with proposed mitigation actions. Conduct regular site inspections, progress reviews, system walkdowns, line checks, testing, and coordination meetings. Provide technical input during concept design, detailed design, tender, construction, testing, commissioning, and handover phases. Coordinate system shutdowns, tie-ins, modifications, expansions, and commissioning activities while minimizing operational impact. Ensure project documentation, including as-built drawings, testing records, operation manuals, training records, and handover documents, is completed before project close-out. Track non-conformances, punch lists, defects and corrective actions through closure. Review high-risk construction activities, work methods, job hazard analyses and mitigation plans before execution. Support internal, corporate, customer, and RBA-related audits and evidence of compliance. <

Most security assurance work is reactive: a customer asks, a team scrambles, an answer goes out. This role exists to end that cycle. As a Senior Staff Analyst, you’ll own a named portfolio of our most significant customers from a security perspective, and get ahead of what they need — their regulatory environment, their audit calendar, their risk appetite, their control expectations — well enough to have the evidence ready before the request arrives. You’ll lead customer security audits hands-on, sit across from customer security teams as a peer rather than a form-filler, and build account security plans that make the next assessment predictable instead of painful. This is deliberately a hands-on senior individual contributor role. You’ll spend your time in audits, in customer conversations, and in the detail of controls and evidence — not in a management chain. If you’ve got deep SOC 2 and ISO 27001 knowledge, real technical range across cloud architecture, identity and vulnerability management, and the presence to hold a room with a sceptical CISO, this is a portfolio you can genuinely own. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Own a portfolio of strategic accounts as their dedicated security point of contact, building durable relationships with their security, risk, compliance and procurement teams. Lead customer security audits and assessments hands-on — scoping, preparing evidence, running the sessions, defending control design and driving findings to closure with internal owners. Build and maintain an account security plan for each account: their frameworks and regulators, audit and reassessment cycles, known concerns, open items and the roadmap commitments they care about. Anticipate requirements before they’re raised, tracking regulatory change, industry expectations and each account’s compliance calendar so documentation and evidence are staged in advance. Act

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Designer at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. You'll work shoulder-to-shoulder with Engineering and Product Management, dig into the data, and use LLM-powered tools alongside traditional design tools. If the LLM powered tools don’t exist yet, you build them. About the Role We’re looking for a Staff Product Designer to join our Integrity Design team and shape how DoorDash earns and protects trust across its three-sided marketplace. Integrity is a uniquely rich design space: every decision can affect a Customer’s confidence, a Dasher’s earnings and safety, a Merchant’s business, and the health of the marketplace itself. You’ll work across high-craft moments in the Consumer and Dasher apps and Merchant Portal, operational review tools, and AI-powered systems that detect risk, assemble evidence, and drive decisions. Your goal won’t simply be to block bad behavior. It will be to make those decisions precise, proportionate, and understandable—protecting good users, applying friction only where it’s needed, and making it painstakingly difficult for bad actors to exploit the platform. Your work will span fraud, trust, safety, and compliance, connecting the full service journey rather than optimizing a single screen or workflow in isolation. You’ll bring a strong human point of view to technically and operationally complex systems, shaping both how decisions are made and how consequential moments—verification, warnings, denials, or restrictions—are experienced. You will report to the head of Design for Customer Experience and

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. We are evolving experimentation systems to help teams learn from product behavior and make better evidence-based decisions. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are looking for a Machine Learning Engineer to lead the technical direction for ML-powered experimentation and insights capabilities. You

About the Role As our Digital Trust and Resilience Engineer, you will lead and perform technology risk assessment and security compliance activities central to our global operations. You will coordinate annual IT internal and external audit programs, including ISO and SOC 2 certifications across our key markets. These certifications are critical to accelerating customer onboarding and streamlining annual regulatory audits worldwide. You will also run mandatory employee security awareness training globally, and drive the automation of evidence collection to improve efficiency. In this role, you will identify compliance gaps, support remediations, and provide technical guidance across all business units. AI is fundamental to how we work. In this position, you will help us build AI automations, workflows, and agents to boost the efficiency of Digital Trust & Resilience operations. You do not need to be an AI researcher. You just need to understand compliance risks and have a drive to learn and apply AI tools. Responsibilities: Coordinate and perform annual IT internal audits and external audits for ISO and SOC 2 certifications across global markets, ensuring certifications are maintained to support customer and partner onboarding and regulatory audit readiness Run global, regulator-mandated employee security awareness and compliance training campaigns, including tracking, reporting, and continuous improvement Automate evidence collection and compliance workflows to drive efficiency gains and scale operations in response to growing regulatory demands Participate in internal security and privacy assessments, external audits, compliance certifications, and risk management activities Provide complete and accurate responses to internal and third-party enquiries on security compliance Perform periodic technical, organizational, and third-party risk and control assessments, and manage remediation activities to complet

About the Role As our Digital Trust and Resilience Specialist you will lead and perform technology risk assessment and security compliance activities central to our global operations. You will coordinate annual IT internal and external audit programs, including ISO and SOC 2 certifications across our key markets. These certifications are critical to accelerating customer onboarding and streamlining annual regulatory audits worldwide. You will also run mandatory employee security awareness training globally, and drive the automation of evidence collection to improve efficiency. In this role, you will identify compliance gaps, support remediations, and provide technical guidance across all business units. AI is fundamental to how we work. In this position, you will help us build AI automations, workflows, and agents to boost the efficiency of Digital Trust & Resilience operations. You do not need to be an AI researcher. You just need to understand compliance risks and have a drive to learn and apply AI tools. Responsibilities: Coordinate and perform annual IT internal audits and external audits for ISO and SOC 2 certifications across global markets, ensuring certifications are maintained to support customer and partner onboarding and regulatory audit readiness Run global, regulator-mandated employee security awareness and compliance training campaigns, including tracking, reporting, and continuous improvement Automate evidence collection and compliance workflows to drive efficiency gains and scale operations in response to growing regulatory demands Participate in internal security and privacy assessments, external audits, compliance certifications, and risk management activities Provide complete and accurate responses to internal and third-party enquiries on security compliance Perform periodic technical, organizational, and third-party risk and control assessments, and manage remediation activities to completi

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are l

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are l

SafeContractor is the UK’s largest SSIP-registered and UKAS-accredited supply chain risk management company, trusted by 40,000 contractors. We simplify compliance for clients and contractors of all sizes, helping to make workplaces safer for everyone, through a flexible, risk-based approach. Our audits ensure contractors are properly assessed, while a user-friendly portal makes compliance straightforward and manageable. Are you an analytical problem solver who thrives on turning complex data into meaningful business decisions? We're looking for a Revenue Operations Analyst to play a pivotal role in driving commercial performance across our UK Supply Chain Contractor Management division. This is an exciting opportunity to join a growing Revenue Operations function where you'll influence strategic decision-making, optimise commercial processes, improve forecasting accuracy, and identify opportunities that drive revenue growth. Working closely with commercial leaders, sales teams and the Revenue Operations Lead, you'll help shape the future of our reporting, analytics, automation and AI capabilities. Analyse commercial performance across marketing, business development, onboarding, account management and customer renewals, identifying trends, risks and growth opportunities. Build, maintain and enhance revenue forecasts, monitor pipeline health and challenge forecast assumptions to improve forecasting accuracy and commercial decision-making. Own and administer commercial commission schemes, ensuring accurate calculation, validation and reporting aligned with business objectives. Monitor CRM adoption, data quality and sales process compliance, identifying opportunities to improve reporting accuracy, governance and commercial workflows. Produce actionable insights and executive-level reporting that supports commercial leaders in making informed, evidence-based decisions. We're looking for someone who enjoys uncovering insights, solving business challenges and influencing

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. What You’ll Do As a Research Scientist, you’ll contribute to the design and execution of applied AI research studies that provide evidence of reliability, validity, and fairness for Edmentum’s educational products – particularly those that include AI features. You’ll collaborate with internal teams and external researchers, apply advanced psychometric methods, and help communicate research findings to diverse audiences. In this role you will: Conduct and manage rigorous research using applied AI and psychometric methods that support product development and evaluation. Translate complex research methods and results into clear, accessible formats. Collaborate with internal teams and external researchers to support research execution. Prepare research briefs, technical documents, and presentations. Contribute to conference presentations, journal publications, and white papers. Assist in preparing materials for the Technical Advisory Committee (TAC) and other expert panels. Who You Are: You have a PhD in psychometrics, quantitative psychology, educational measurement, statistics, data science, AI evaluation, or related field. You bring 1+ years of experience conducting applied AI research, ideally related to educational assessment. You are proficient in R, SAS, or Python for large-scale data analysis. You are familiar with IRT, scaling/equating, and methods for quantifying reliability, including generalizability theory. You communicate technical content clearly to n

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the role The Product Certification Specialist owns the full lifecycle of product certification and compliance for Lab37’s robotic food-production systems. This role develops and maintains the company’s compliance strategy across sanitation, electrical safety, and operator safety, translating national standards, local health-code requirements, and business needs into practical product requirements and internal processes. The Product Certification Specialist works closely with Engineering, Product, Manufacturing, Operations, certification bodies, and local regulators to ensure products are designed, documented, tested, manufactured, and deployed in accordance with applicable requirements. What you’ll do Own product certification: Manage the full certification lifecycle for NSF sanitation, electrical safety, and operator-safety requirements, including certification planning, third-party evaluations, testing, findings resolution, approval, and ongoing maintenance. Develop the compliance strategy: Review and update the company’s compliance approach by combining business and product needs with applicable national standards, certification requirements, customer expectations, and local health codes. Translate requirements into product plans: Convert regulatory and certification requirements into clear engineering requirements, design-review criteria, verification plans, acceptance criteria, and certification evidence. Build lightweight internal compliance systems: Develop practical processes f