Senior Customer Solutions Architect Jobs

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure g

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineerin

Senior Human Data Operations Partner, AI Team: Human Data Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Human Data Operations Partner, you will play a pivotal role in ensuring the smooth execution of end-to-end operational processes that power Prolific's specialised participant pools. You’ll act as a key enabler for client-specific projects, working closely with delivery teams to align participant-related processes with strategic AI customer needs. You’ll also work to transform these processes and workflows into scalable solutions, partnering closely with our product and tech teams to do this. This role demands a hands-on approach to participant onboarding, verification, and quality management, as well as cross-functional collaboration to meet the demands of both internal stakeholders and external clients What you’ll be doing in the role Develop detailed project plans, workflows, and enablement materials to support efficient delivery. Maintain Prolific’s participant pools as high-quality, diverse, and optimised to meet customer demands. Implement and manage verification processes for domain experts and AI taskers, ensuring their skills and qualifications meet client-specific requirements. Continuously optimise participant onboarding and activation funnels to enhance retention and task performance. Monitor participant engagement and quality metrics, using insights to drive improvements. Contribute to upskilling programmes and certification processes for participants involved in complex AI tasks Work closely with product, data, science, and customer success teams to align operational priorities with strategic objec

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together. Position Overview: The Senior Platform Engineering Lead is a pivotal senior-level engineering position responsible for driving the

Distinguished Technologist - Principal Architect, Platform Security and Firmware Systems Description - HP is seeking a senior technical leader to serve as a lead architect for hardware rooted Platform Root of Trust for HP's commercial PC platform. In this role, you will be responsible for envisioning, defining, and driving the architecture of hardware, firmware, software, and cloud-integrated security capabilities that protect HP commercial PCs from current and emerging threats. You will also work across the hardware and security architecture teams, collaborate with HP's Security Research Labs, Firmware (BIOS) team, our security business that creates and deploys industry leading enterprise security and manageability solutions, product management, manufacturing, supply chain, customer enablement, and field organizations to create cohesive system solutions that deliver unique customer value. This position requires deep expertise in embedded systems, platform firmware, hardware, security, device manageability, and PC system architecture. The role also requires the ability to translate complex technical capabilities into customer-relevant value propositions and to influence internal and external stakeholders without relying solely on formal authority. Responsibilities Serve as principal architect for HP Endpoint Security Controller roadmap, associated hardware and firmware based capabilities, cryptographic identity, attestation, secure communication, event logging, and future controller generations. Define and evolve HP Sure Start architecture and related firmware resilience capabilities, including hardware-enforced firmware authenticity, recovery, update, and protection mechanisms. Drive secure BIOS and firmware configuration management strategies, including HP Sure Admin ecosystem capabilities, key management, zero-touch provision

As a Senior NetSuite Consultant at Plative, you will be advising and implementing NetSuite solutions to our portfolio of customers. Candidates for this role should possess a deep knowledge of NetSuite's capabilities in the Retail & Wholesale Distribution space and high-level knowledge of common industry-specific integrations. You will act as a knowledgeable advisor to customers, uncover business requirements, and configure effective solutions that address the customer's requirements. Plative is a fast-paced, agile environment, so you will be involved from project inception to completion and will work on multiple projects at the same time. Responsibilities: Manage and deliver basic to complex NetSuite implementation projects, including solution design and project management. Facilitate and lead customer discovery meetings, identifying opportunities beyond the initial scope and tracking findings in the project backlog. Delegate tasks to analysts and guide their work to ensure high-quality deliverables. Flag project limitations and issues early, and work with senior consultants and architects to address them. Prepare design documentation and present configuration and design recommendations to customers. Raise design risks, constraints, and critical dependencies to senior consultants and architects, and work together to resolve them. Communicate delivery risks, including budget, schedule, and scope, to project managers and lead consultants. Guide testing approaches for internal QA and customer UAT. Handle core configuration tasks, including complex business logic. Advise customers on leading practices and make configuration and design recommendations. Serve as the expert business process owner for core processes. Basic Qualifications: Bachelor's degree in a relevant field, or equivalent experience. 5+ years of experience implementing NetSuite within the Products industry. Strong understanding of NetSuite core configuration, including complex business logic. Knowledg

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

About the Team OpenAI’s Industrial Compute team is building and productizing infrastructure capabilities that help organizations deploy and operate advanced AI systems at scale. The team works across AI hardware, systems engineering, physical infrastructure, and customer delivery to turn emerging technologies into reliable, repeatable infrastructure solutions. Our work sits at the intersection of technical strategy, product development, engineering, and deployment. We partner closely with customers and internal engineering teams to solve complex infrastructure challenges spanning compute, power, cooling, controls, and facility efficiency. About the Role We are seeking a senior, hands-on Data Center Infrastructure Architect to develop and optimize the physical infrastructure required for large-scale AI deployments. This is a broad technical role spanning data center architecture, electrical and mechanical systems, high-density compute, controls, telemetry, and digital modeling. You will use simulation, operational data, and digital-twin approaches to evaluate infrastructure designs, identify system-level constraints, and improve efficiency, reliability, cost, and speed of deployment. The ideal candidate can move fluidly between first-principles analysis, facility and equipment design, computational modeling, engineering review, and real-world implementation. You should be comfortable working across disciplines rather than operating solely within electrical, mechanical, or software boundaries. Key Responsibilities Define system-level architectures for high-density AI data centers across power, cooling, IT equipment, controls, and facility infrastructure. Develop digital twins and other computational models that represent the behavior of data center systems under changing workloads, environmental conditions, equipment configurations, and failure scenarios. Use design and operational data to identify constraints, improve PUE and related efficiency metrics, and optimize

The Team MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. This role can be based out of either our Dublin or Cork office or remotely in Ireland. The ideal candidate should Have 6+ years of experience working on software development and operating distributed systems Proficiency in Python, Go, or a similar language Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs. Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Responsibilities Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Build for reliability, making services and infrastructure avail

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together. About the Team: The <span style="font-size:inherit"

Job Details: Job Description: The Role and Impact As a Systems and Solutions Engineer, you will drive the design, development, and integration of systems that combine software, firmware, board, and silicon/SoC components to meet specific customer needs. In this role, you will play a key part in defining, implementing, and optimizing solutions to ensure high performance, reliability, and quality across the system lifecycle. Your work will directly impact the seamless functionality and user experience of cutting-edge technologies, enhancing Intel's position in delivering innovative systems to global customers. Business Group You will be joining the Silicon and Platform Engineering Group (SPE), an organization committed to advancing Intel's mission of delivering world-class silicon and platform solutions. The group focuses on developing integrated systems that align with customer needs and support Intel's broader goals of leadership in technology innovation. SPE collaborates across diverse domains to ensure Intel platforms meet performance, reliability, and scalability requirements. Key Responsibilities - Design and develop software, firmware, and hardware solutions that integrate seamlessly across system components. - Lead the definition and implementation of system architecture, translating business opportunities into technical requirements and use cases. - Evaluate technical risk and optimize systems for ease of use, reliability, security, availability, and sustainability. - Drive technical solutions to address customer challenges, deploying systems and conducting benchmarks to validate performance. - Collaborate with cross-functional teams to influence next-generation requirements and solutions, guiding research and academic collaborations as needed. - Conduct lab experiments to simulate real-life environments, analyze prototype performance, and refine system

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: As Senior Product Manager for Customer Identity & Access Management (CIAM), you will own the roadmap for how carriers, distributors, partners, and policyholders securely access Zinnia’s platform. You will lead the identity product area end to end — authentication, authorization, and the full user lifecycle — balancing strong security and regulatory compliance with a frictionless experience across Zinnia’s products. You will partner closely with Engineering and Security, and work across Zinnia’s Product Organization to keep the identity experience aligned with company strategy while delivering measurable value. WHAT YOU’LL DO: Own the CIAM product roadmap and strategy spanning consumer (policyholder), partner (distributor/agent), and workforce identity across Zinnia’s platform. Lead the product direction for core identity capabilities — authentication (SSO, MFA, passwordless, adaptive/risk-based), authorization (RBAC/ABAC, fine-grained and delegated access), and the full user lifecycle (registration, provisioning/SCIM, recovery, deprovisioning). Set standards and technical direction around modern identity protocols (OAuth 2.0, OpenID Connect, SAML, SCIM) in partnership with Engineering and Architecture. Drive build-vs-buy and platform decisions for identity providers and services, and own the integration strategy across Zinnia products. Balance security, privacy, and usability — re

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: As Senior Product Manager for Customer Identity & Access Management (CIAM), you will own the roadmap for how carriers, distributors, partners, and policyholders securely access Zinnia’s platform. You will lead the identity product area end to end — authentication, authorization, and the full user lifecycle — balancing strong security and regulatory compliance with a frictionless experience across Zinnia’s products. You will partner closely with Engineering and Security, and work across Zinnia’s Product Organization to keep the identity experience aligned with company strategy while delivering measurable value. WHAT YOU’LL DO: Own the CIAM product roadmap and strategy spanning consumer (policyholder), partner (distributor/agent), and workforce identity across Zinnia’s platform. Lead the product direction for core identity capabilities — authentication (SSO, MFA, passwordless, adaptive/risk-based), authorization (RBAC/ABAC, fine-grained and delegated access), and the full user lifecycle (registration, provisioning/SCIM, recovery, deprovisioning). Set standards and technical direction around modern identity protocols (OAuth 2.0, OpenID Connect, SAML, SCIM) in partnership with Engineering and Architecture. Drive build-vs-buy and platform decisions for identity providers and services, and own the integration strategy across Zinnia products. Balance security, privacy, and usability — re

The Opportunity Join Enigma's Growth & KYB Team at a pivotal moment as we continue to create sales and marketing solutions for small businesses. We're seeking an experienced Senior Software Engineer to develop and build innovative data products and systems that directly impact our customers and accelerate our growth. Your work will influence decisions for companies that employ half the U.S. workforce, creating tremendous value for our clients. The Role As a member of the Growth & KYB Team, you will: Design, develop and deliver data products that solve critical customer pain points and build scalable, high-quality systems that deliver rich interactions with our data. Engage with software engineers, data scientists, and product managers to create experiences that move a customer from discovery to evaluation to purchase. Analyze and extract value from data at scale, building efficient, maintainable production-grade data solutions. Create scalable and highly maintainable systems deployed in cloud environments. Own architecture and design decisions as well as hands-on implementation, ensuring that customer experiences are compelling and have low costs of ownership. What You’ll Do Operates with a bias for action and knows how to deliver value in the short, medium, and long term. Loves interacting with product teams and works hard to solve customer problems in a repeatable way. Adopts a principled, metrics-driven approach to difficult data problems and demonstrates excellence in their analytics and engineering craft. Operates transparently, collaboratively, and with low ego—loves learning from others and having their ideas questioned and challenged. Has a “can-do” attitude and thrives on a highly collaborative, cross-functional team that plays a critical role in the company’s success. Is eager to own architecture and design decisions as well as hands-on implementation. What Makes This Role Exciting? Impact : Develop products that take an innovative data-first appro

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,