Field Implementation Manager Jobs

Business Analyst – OpenLink Location: Houston, Texas | Practice Area: Business Consulting | Type: Permanent Deliver impactful energy trading solutions by bridging business needs and OpenLink technology The Role As a Business Analyst within Capco’s Business Consulting practice, you will support clients in the energy sector by translating business requirements into effective OpenLink solutions. You will work closely with stakeholders and technology teams to deliver high-quality consulting outcomes, supporting system implementations and transformation initiatives across trading environments. What You’ll Do Facilitate client workshops, interviews, and analysis to gather and document requirements Develop business requirements, functional specifications, and process documentation Analyze current and future state processes to identify gaps and improvement opportunities Support testing, training, and go-live activities to ensure successful delivery Produce clear consulting deliverables including reports, presentations, and proposals What We’re Looking For Experience as a Business Analyst with OpenLink implementation and configuration Strong skills in requirements gathering, process mapping, and stakeholder engagement Ability to translate business needs into functional and technical specifications Experience supporting testing cycles, user training, and production rollout Bachelor’s degree in a relevant field such as Business, Finance, or Technology Bonus Points For Experience within a management consulting environment Background in energy, utilities, or trading domains Experience contributing to business cases, proposals, or reusable consulting assets Familiarity with project delivery methodologies and lifecycle management Basic scripting or technical understanding to support system analysis Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production. This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Customer success Serve as the primary technical owner for customer engagements from initial discovery through production rollout Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence Technical integration Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams Work effectively within customer environments that have different stacks, infrastructure, and integration constraints Product feedback loop Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work Workstream collaboration Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery Make sound engineering decisions under

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production. This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap. This role will be based remotely in the United States (East Coast). Responsibilities Customer success Serve as the primary technical owner for customer engagements from initial discovery through production rollout Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence Technical integration Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams Work effectively within customer environments that have different stacks, infrastructure, and integration constraints Product feedback loop Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work Workstream collaboration Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery Make sound engine

As the Salesforce Administrator at Coder, you’ll help keep our Salesforce environment reliable, efficient, and ready to support the business. You will help keep our Salesforce environment running cleanly and efficiently, and you'll work closely with Finance and our Sales Ops Salesforce Admin. The work spans day-to-day administration, Flow builds, and DealHub CPQ support — with occasional AI-assisted development tasks mixed in. You'll be working alongside someone who knows the environment well, so the expectation is that you can plug in quickly and operate with minimal hand-holding. What you’ll do here Own day-to-day Salesforce administration including user management, configuration, and data integrity Design, implement, and troubleshoot Automations using Salesforce Flow Configure and support DealHub CPQ including pricing rules, quote templates, and related requests Build and maintain reports and dashboards, with a focus on pipeline and revenue visibility for Finance Partner cross functionally on projects, sandbox management, and incoming support work Assist with Apex AI-assisted development tasks as needed Support data quality efforts including deduplication and cleanup as needed Manage end to end implementation of Salesforce including Okta provisioning, sales tools, and CPQ Own data governance across Salesforce by enforcing data quality standards, managing field-level security and access, and building validation rules that catch bad data at entry. You'll audit integrity regularly and partner with RevOps and Engineering to keep CRM data trustworthy Lead technical delivery of system improvements: scoping, building, testing, and deploying changes end-to-end Manage Salesforce releases, sandbox environments, and deployment processes Develop and maintain Salesforce customizations using Apex, Visualforce, and Lightning Web Components Own integrations between Salesforce and connected systems including architecture, build, testing, and maintenance Perform unit testing, trou

About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the semiconductor vertical to deploy next-generation AI capabilities. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project m

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Job Duties and Responsibilities: Own and deliver complex, cross-team quality initiatives end-to-end — from ambiguous problem definition through architecture, implementation, and production rollout with minimal oversight Lead technical design discussions and drive stakeholder alignment on test strategy, architecture, and quality standards across engineering, product, and design Generate original solutions to ambiguous or previously unsolved quality problems; use sound engineering judgment when there is no obvious answer Anticipate, communicate, and manage quality and release risk across team boundaries; make prioritization trade-offs in partnership with engineering leadership Champion CI/CD, observability, monitoring/alerting, and production-hygiene practices, and drive their adoption beyond your own team Guide new and existing engineers on execution of sub-tasks within larger quality initiatives; raise the bar on code review standards for reliability, performance, security, and maintainability Partner with Engineering, Product, Design, Support, and Field/CSM teams to identify recurring customer issues and drive systemic product and process improvements Respond to and help resolve critical production issues/customer escalations during on-call rotation, driving root-cause analysis Mentor engineers, contribute to hiring and interviewing, and help improve engineering culture across the team and adjacent teams Drive adoption of AI powered testing capabili

Generative AI Architect Location: Charlotte, NC | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the forefront of innovation The Role As part of Capco’s Technology Delivery Team, you will apply deep expertise in architecture, AI, and modern engineering practices to design and deliver next-generation solutions. As a Generative AI Architect, you will lead the definition and implementation of scalable, secure, and enterprise-grade AI systems, guiding projects from concept through to production while aligning technology with strategic business goals. What You’ll Do Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives Design scalable, modular solution patterns and integrate foundation models into enterprise environments Architect and implement agentic AI systems, including workflows, orchestration, and system integrations Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field 10+ years of experience in software architecture, including hands-on work with AI/ML systems Strong expertise in generative AI, foundation models, and agentic AI frameworks Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP) Proven ability to communicate complex technical concepts and influence technical decision-making WIllingness to work in our office 3 days/week Bonus Points For Experience with prompt engineering and advanced RAG-based architectures Familiarity with vector databases and unstructured data processing techniques Experience implementing MLOps frameworks and production-grade AI systems Exposure to containerized and distrib

Generative AI Architect Location: New York, NY & Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the forefront of innovation The Role As part of Capco’s Technology Delivery Team, you will apply deep expertise in architecture, AI, and modern engineering practices to design and deliver next-generation solutions. As a Generative AI Architect, you will lead the definition and implementation of scalable, secure, and enterprise-grade AI systems, guiding projects from concept through to production while aligning technology with strategic business goals. What You’ll Do Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives Design scalable, modular solution patterns and integrate foundation models into enterprise environments Architect and implement agentic AI systems, including workflows, orchestration, and system integrations Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field 10+ years of experience in software architecture, including hands-on work with AI/ML systems Strong expertise in generative AI, foundation models, and agentic AI frameworks Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP) Proven ability to communicate complex technical concepts and influence technical decision-making WIllingness to work in our office 3 days/week Bonus Points For Experience with prompt engineering and advanced RAG-based architectures Familiarity with vector databases and unstructured data processing techniques Experience implementing MLOps frameworks and production-grade AI systems Exposure to c

Generative AI Architect Location: New York, NY & Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the forefront of innovation The Role As part of Capco’s Technology Delivery Team, you will apply deep expertise in architecture, AI, and modern engineering practices to design and deliver next-generation solutions. As a Generative AI Architect, you will lead the definition and implementation of scalable, secure, and enterprise-grade AI systems, guiding projects from concept through to production while aligning technology with strategic business goals. What You’ll Do Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives Design scalable, modular solution patterns and integrate foundation models into enterprise environments Architect and implement agentic AI systems, including workflows, orchestration, and system integrations Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field 10+ years of experience in software architecture, including hands-on work with AI/ML systems Strong expertise in generative AI, foundation models, and agentic AI frameworks Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP) Proven ability to communicate complex technical concepts and influence technical decision-making WIllingness to work in our office 3 days/week Bonus Points For Experience with prompt engineering and advanced RAG-based architectures Familiarity with vector databases and unstructured data processing techniques Experience implementing MLOps frameworks and production-grade AI systems Exposure to c

P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems. What You Will Do Own and drive the architecture, design, and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference Partner closely with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine Lead the end-to-end optimization for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators Define and guide standards to build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations Architect scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads Ensure reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning Collaborate cross-functionally on Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead Drive cross-team collaboration: with platform engineers, cloud infrastructure, and security/compliance teams Represent the team externally through benchmarks, whitepapers, and open-source contributions What We Look For BS/MS/PhD in Computer Science, or a related field Strong software engineering background (6+ years or equivalent) in performance-critical systems Proven track record of owning complex system components and driving architectural decisions end-to-end Deep understa

Opportunity ThermalWorks has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that’s on a journey to transform the world’s infrastructure. We are seeking a Platform Engineer (ServiceNow) to join ThermalWorks,working directly with the AI and Data Analytics group. This role owns the administration and development of ThermalWorks core business systems, with ServiceNow as the primary platform and NetSuite and Arena PLM as supporting systems. You will be in a fast-paced environment, building and maintaining the applications, workflows, and integrations that groups across ThermalWorks, such as operations, service, and engineering, rely on every day. The Platform Engineer needs to be agile, professional, trustworthy with confidential information, and comfortable in a rapidly changing environment. You will work closely with service, operations, engineering, supply chain, and finance teams to turn business needs into reliable, scalable system solutions. Key Responsibilities Include but are not limited to: ServiceNow Administration Own day-to-day administration of the ServiceNow platform, including users, groups, roles, ACLs, forms, workflows, notifications, and the service catalog Manage instance upgrades and family releases, including regression testing with the Automated Test Framework (ATF) Maintain CMDB and platform data integrity and enforce configuration standards and governance Coordinate with ServiceNow implementation partners on enhancements, upgrades, and escalations ServiceNow Development Build scoped applications, workflows, and automations using Flow Designer, Business Rules, Script Includes, Client Scripts, and UI Policies Extend ServiceNow modules (e.g., ITSM, Field Service, Customer Service) to fit ThermalWorks’ operational and service workflows Manage development through update sets or source control, with sub-production testing and controlled promotion to production Evaluate build-

Summary Shift Timings 12:30 PM IST Shift The Junior Web Developer plays a key role in maintaining and enhancing showpad.com and the marketing web stack. This role involves building pages, fixing bugs, and conducting quality assurance (QA) to ensure all changes are robust before going live. Reporting to the Lead Web Developer, this position is essential for the seamless execution of web development tasks and encourages growth towards greater independence within defined workstreams. Responsibilities Build and update web pages, templates, landing pages, and manage gated content using existing CMS and component libraries. Fix bugs and work on tickets as assigned by the Lead Web Developer, adhering to a defined ticket backlog. Implement front-end changes for A/B testing and other experiments as instructed. Conduct thorough QA on all pages and changes before publishing, ensuring functionality, responsiveness, and accessibility. Verify tracking and tag implementation on new pages according to the Lead's specifications before publishing. Collaborate with the development agency to address assigned tasks, maintaining standards and priorities set by the Lead. Document workstreams and promptly flag anomalies, bugs, or potential regressions to the Lead. Support marketing teams using self-serve page-building tools within established guidelines, escalating issues as needed. Required Skills & Experience 2 to 4+ years of experience in building and maintaining marketing websites. Proficiency in WordPress, including page building, ACF fields, and basic troubleshooting. Experience with Next.js/React and proficiency in JavaScript/TypeScript for implementing changes. Strong understanding of HTML, CSS with Tailwind, and JavaScript for working with existing components. Familiarity with Google Tag Manager for tag implementation and verification. Experience with Git/GitHub workflows, including branches and pull requests. Attention to detail and a strong sense of ownership regarding QA pr

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We're looking for a Compensation Consultant to join our global Reward team. This is an exciting opportunity for someone who is passionate about compensation, data analysis, executive reward, and helping create fair, competitive, and inclusive reward programmes. In this role, you will work with a wide range of stakeholders across the business, supporting compensation initiatives, benchmarking, reward analysis, market insights, and executive compensation activities. You'll combine analytical expertise with strong communication skills to help inform strategic decision-making. Whether you are currently working in compensation, reward, executive remuneration, total rewards, or a related analytical HR field, we would love to hear from you. What you'll be doing: Supporting the design, implementation, and management of executive compensation programmes. Conducting and interpreting market benchmarking and salary analysis to provide reward insights. Analysing executive compensation data and presenting recommendations to stakeholders. Supporting the executive compensation reward cy

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. Key Responsibilities Lead front-end semiconductor fab design and process tool planning activities for new fab construction, expansion, and remodeling projects. Develop and maintain cleanroom layout strategies that optimize manufacturing capacity, operational efficiency, equipment accessibility, and future scalability. Evaluate and define tool siting plans, process area configurations, aisle strategies, and support space requirements to enable manufacturing objectives. Partner with Process Engineering teams to translate technology roadmaps and capacity requirements into executable facility and layout solutions. Collaborate with Facilities, Utilities, Construction, and AMHS teams to ensure successful integration of manufacturing equipment, infrastructure systems, and material handling networks. Drive footprint optimization, cleanroom utilization improvement, and layout scenario analysis through data-driven decision-making. Coordinate design reviews and alignment discussions across multiple stakeholder groups to ensure project objectives, timelines, and requirements are met. Support fab readiness activities, including field verification, design validation, issue resolution, change management, and risk mitigation. Ensure compliance with safety, quality, environmental, and corporate standards throughout all design and implementation ph

ROLE/RESPONSIBILITES Perform rigorous and innovative research to discover systematic anomalies in equity market End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation Identify and evaluate new datasets for stock return predictions Maintain and improve the portfolio trading in production environment REQUIREMENTS MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics 1+ years of work experience in systematic alpha research in equities Experience developing short term alpha signals (intraday or a few days) is a plus Demonstrated proficiency in R or Python Strong command of foundations of applied statistics, linear algebra, and time series models Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources Strong knowledge of financial markets Highly motivated, willing to take ownership of his/her work Collaborative mindset with strong independent research ability