Learning And Development Manager Jobs

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

Opportunity overview The Learning & Development Specialist will work in support of the UM Service Operations Team at Cohere Health who conduct reviews and decision Prior Authorization requests for a patient’s medical insurance. You will implement training processes to improve staff performance and onboard new hire employees to the Cohere Operations teams, You will provide support to all functions within the Training & Quality department. With a solid foundation in Training, you are expected to be flexible and nimble in your role to manage short- and long-term projects as well as dealing with day-to-day tasks. What you’ll do: Facilitate training for the New Hire onboarding and continuous improvement of the Service Operations Staff Work with onshore teams to Develop and maintain Training materials Perform Quality Audit checks as required Coach team members for improvement Provide reporting on performance and key areas of Training Performance to Sr Leadership Lead and facilitate training programs for new-hire onboarding and ongoing development, ensuring Service Operations staff are fully prepared to meet performance, quality, and compliance expectations Design, develop, and continuously refine training materials, job aids, and workflow documentation to support new products, process changes, and organizational initiatives Conduct judgment-based quality audits across operational workflows, applying clinical and operational standards to evaluate accuracy, compliance, and readiness Provide targeted coaching and performance improvement guidance, using audit findings and behavioral insights to elevate competency, accuracy, and decision-making across teams Analyze training and quality data to identify trends, performance gaps, and opportunities, synthesizing insights into clear recommendations for senior leadership Build and deliver regular reporting on training outcomes, competency progression, audit results, and operational readiness, shaping leade

About the Team: The BizFin team at Meesho is a close-knit and high-performing group that brings together a diverse mix of professionals from Big 4 consulting, FMCG giants, and top-tier investment firms. Our members include Chartered Accountants (many of whom are rank holders), business specialists, and former investment bankers — each contributing a unique perspective and skill set. We thrive on solving complex, high-impact business problems across Meesho’s ecosystem. Whether it's driving growth strategy or streamlining financial operations, the team plays a critical role in shaping key decisions that drive the company's success. We believe in cross-functional exposure, ensuring team members gain experience across different areas of the business, enabling continuous learning and a broader perspective. At our core, we value both excellence in our work and strong team bonds, creating a culture that celebrates collaboration, achievement, and the collective impact we make. About the Role: As Associate Director - Business Finance, you’ll strategise with the business team and tell us how and where to spend our money. While you ensure governance and controllership are best in class, more importantly you actively work with CXOs to drive prioritisation/ choices around growth and profitability. You will lead a team of expert finance professionals - who will aid you in problem discovery, implementing complex business solutions, playing the critical challenger role in business orgs and being co-pilot in leadership level decision-making. You’ll also manage business development activities according to a financial plan. You’ll modify financial plans and budget amounts based on the changes in business plans. You’ll also provide financial support and advice to management in closing business deals and short/medium/long term strategies.

Position Overview: As an Associate Service Desk Analyst, you’ll be one of the key people helping our employees get the most out of their technology. You’ll provide friendly, reliable technical support, troubleshoot hardware, software, and network issues, and make sure problems are resolved as smoothly and quickly as possible. You’ll manage incidents from start to finish, keeping users informed along the way and making sure more complex issues are escalated to the right teams when needed. You’ll also have the opportunity to contribute to improving our IT processes, documentation, and knowledge resources, helping us continuously improve the support we provide. We’re looking for someone who enjoys solving problems, helping people, and learning new things. Strong analytical, communication, and customer service skills are important, as well as a proactive attitude and the motivation to grow your career within the organization. You’ll work both independently and as part of a global team, so being comfortable collaborating with people across different locations and teams is key. Key Responsibilities Deliver comprehensive onsite and remote technical support, ensuring rapid resolution of hardware, software, and network issues to maintain optimal business continuity and user productivity. Proactively manage and update service tickets throughout the incident lifecycle, leveraging advanced troubleshooting skills and maintaining clear, professional communication with stakeholders at every stage. Demonstrate in-depth proficiency with Diligent’s core technologies—including Windows, Mac OS, and O365— applying best practices to resolve complex technical challenges and enhance the end-user experience. Serve as a subject matter resource for both hardware and software support, collaborating with crossfunctional teams to drive continuous improvement in IT service delivery. Actively contribute to the development and maintenance of knowledge base resources, synthesizing insights fr

We are looking for an experienced Staff Software Engineer with a strong background in building software frameworks, LLM eval frameworks and team leadership. You will lead a talented team building a complex product suite using a modern stack. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging modernization validations problems, ensuring that new applications have the same functionality and performance as their legacy counterparts. This role will be based in our India office in Gurgaon and offers a hybrid working model. The ideal candidate for this role will have 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem and paired with strong Python experience 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results Solid experience in software architecture and development Familiarity with evaluation frameworks (such as DeepEval, Ragas, and Promptfoo) and harnesses, alongside benchmark datasets, scoring/grading approaches, and LLM-as-a-judge methodologies Experience in application/database modernization with proven ability to design and implement frameworks that ensure database state equivalence across different implementations Must understand change data capture, event-driven database interception (MongoDB listeners, RDBMS triggers), and state comparison algorithms with pattern-based exclusions Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB) Good understanding of algorithms, data structures and their time and space complexity Curiosity, a positive attitude, and a drive to continue learning Excellent verbal and written comm

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: This position will become an integral part of a dynamic and growing US Indirect Taxes Center of Excellence at WPP, one of the top Advertising firms in the world. In this role, you will enjoy a collaborative atmosphere and building of a new team to provide support to all US subsidiaries. You will also be involved in the implementation of new technology and development of existing processes. What you'll be doing: Manage and review all US indirect tax filings (Sales & Use Tax). Provide excellent service to multiple US companies. Ability to multitask and be involved in ad-hoc projects as needed. Research and provide technical advice regarding indirect tax questions raised by US companies in a quick and efficient manner. Supervise, mentor, and develop staff members. Monitor US indirect taxes legislative and regulatory changes and assessment of impact to required filings. Responsible for monthly accruals and reconciliation of indirect tax accounts. Handle and respond to notices and assist with tax audits including analyzing various transactions for auditor inquiries and g

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access cont

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access cont

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The SaaS Platform Partnerships team is part of our Go-to-Market organization, and supports new and existing SaaS Platforms in developing and growing their embedded payments and finance businesses. We work closely with platforms as a channel partner to incubate growth tactics and scale them into benefits of our program, Stripe Partner Ecosystem. PDMs act as the R&D arm of this program — testing new growth approaches with a small number of platforms, measuring what works, and then codifying those tactics into structured resources that Stripe's broader account team can deliver at scale. In parallel, we work with product teams to embed the learnings directly into Stripe’s products. We are seen as trusted advisors and experts in SaaS Platforms. What you’ll do This role will be an early EMEA hire for the SaaS Platform Partnerships team, working closely with the GTM team. There are three key components of this role: (1) providing strategic advisory to strategic platforms, (2) developing and validating EMEA-specific growth tactics, and (3) scaling successful tactics into structured benefits available across the broader Stripe Partner Ecosystem and to SaaS Platforms on Stripe. You will be an expert

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions. We are seeking a Senior Machine Learning Engineer to help build and scale Entrata’s applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management use cases, building reliable model training and evaluation pipelines, and deploying AI systems into production.

Job Details: Job Description: The Role and Impact As a Manufacturing Quality and Reliability Engineer, you will play a pivotal role in ensuring the flawless production and reliability of Intel products. You will manage the qualification of manufacturing ramps to high volume, specifying inspection and testing mechanisms, and conducting quality assessments to confirm compliance with industry-leading standards. Through your expertise, you will drive continuous process improvement, proactively address quality challenges, and optimize cost and production scalability, contributing to Intel's commitment to delivering groundbreaking innovation. Business group The Quality Systems Organization within Intel Foundry is dedicated to ensuring the excellence and dependability of Intel's manufacturing operations and processes. This team focuses on developing and implementing robust quality systems, supporting Intel's broader mission to deliver world-class technological solutions to customers. By fostering a culture of proactive improvement, the group plays a critical role in advancing Intel's manufacturing capabilities. Key Responsibilities - Own the qualification of manufacturing ramps to high volume, ensuring products and processes meet quality and reliability standards. - Develop inspection and testing mechanisms and conduct audits to assess compliance with established quality benchmarks. - Lead continuous improvement initiatives to enhance quality systems and foster a culture of proactive quality management. - Manage excursion events, change control processes, and supplier audits while driving supplier performance improvements. - Represent the quality and reliability function in product engineering and development forums, offering recommendations to enhance system, process, and product reliability. - Develop systems for early detection and containment of excursions and con

Job Details: Job Description: Owns the qualification of manufacturing ramps to high volume, ensuring the quality and reliability of products and processes sustainably meet organizational requirements. Specifies inspection and testing mechanisms, conducts quality assessments and audits, and evaluates materials, processes, and techniques used in production to confirm compliance to quality standards associated with products and production equipment. Owns health and performance indicators for product quality and reliability that drive optimization of cost, ramp, and volume upside efforts. Drives continuous process improvement and proactive quality programs in the factories to develop a quality culture mindset. Represents quality and reliability function in product engineering and product development forums and makes recommendations in design or formulation to improve system and/or process and product reliability. Responsible for excursion management, change control, supplier audit, and driving supplier continuous improvement. Exhibits leadership amidst complex and impactful MRBs. Develops and implements systems and capabilities for early detection and containment of excursions, conducts risk assessments, and dispositions discrepant material. Synthesizes and extracts insights from structured and unstructured data using statistics and machine learning to determine the disposition of products and systems that do not meet required specifications. Responds to customer reported issues related to manufacturing and provides engineering solutions to address customer concerns and improve customer experience. Note: This role requires regular onsite presence to fulfill essential job responsibilities. <p style="text-align:inh

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100’s of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness, and scalability. Working at this scale and at the frontier of AI development poses novel challenges. Out-of-the-box approaches often don’t work. The problems you will be working on are highly ambiguous and require strong design judgment as well as proficient execution to advance the state of our infrastructure. We’re loo

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major Software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Experience in working with the Linux and open-source software communities Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, su