Technical Learning Manager Jobs

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. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. Our organization is comprised of engineers who thrive at the intersection of deep client-side platform engineering and massive-scale distributed systems. The work we do secures millions of enterprise endpoints globally, prevents modern identity attacks, and fundamentally changes how people work by making world-class security completely invisible to the end user. Opportunity We seek a highly impactful and influential Software Engineer to join our engineering team. The ideal candidate will leverage their deep expertise in distributed systems, particularly Java, to architect, build, and scale the critical server-side software and services at the heart of our security and identity platform. This is a high-visibility, hands-on opportunity to define the architectural vision, pioneer new capabilities, and drive the technical strategy to solve complex, company-wide challenges and shape the future of Okta's device identity ecosystem. You will act as a key technical leader—a player-coach and force multiplier—by setting the technical s

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000 , DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role We're looking for a Senior Product Engineer who brings real passion, innovation, and entrepreneurial drive to the systems millions of people rely on to learn. You'll take large, ambiguous projects from idea to impact with real autonomy — prototyping, measuring, and iterating in fast feedback loops rather than grinding through tickets. You'll have a strong voice in what gets built and how, partnering closely with Product, Design, and fellow engineers to ship work you're proud of and to sweat the details that make it great. This is an AI-native team, not an AI-curious one. Agentic coding tools like Claude Code and Codex are core to how we work every day, alongside LLMs and AI APIs. We expect engineers to lean on them to prototype faster, raise code quality, and spend more time on the hard problems that matter most for the people we build for. If you’re excited about building great products, shaping the future of how DataCamp builds and ships, and working on systems that operate at scale, we’d love to hear from you. Responsibilities Own product or platform projects end-to-end — idea, build, release, measurement, iteration — with the autonomy to make them count. Shape the technical direction of the systems you work on, from architecture through implementation. Own the services you ship and keep them scalable, reliable, and observable as they grow — and increasingly, those services are powered by LLMs. Raise the bar for technical decisions and architecture across scalable, reliable, and maintainable sy

We are looking for a deeply technical, customer-facing Forward Deployed Engineer to help product development organizations deploy Command - a new offering from Asana. As we incubate new motions and capabilities on Command, we need engineers who can work directly with customers, move quickly from insight to implementation, and bring real-world learning back into the product. This role is based in our San Francisco or New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Collaborate with Engineering leaders, platform teams, administrators, and hands-on builders to connect Command to the systems where work already happens Establish the technical and operational foundations for adoption and help teams develop more effective ways of planning, building, shipping, and learning Move between cloud infrastructure, integrations, workflow design, automation, product enablement, and engineering coaching Work directly in customer environments — configuring secure access to source-control, CI/CD, ticketing, and identity systems, or pairing with engineering teams to design release workflows and help leaders clarify the context their agents and teams need to make good decisions Write production-quality code when needed and turn customer-specific solutions into reusable product capabilities Leave customers with more than a working deployment — leave them with a stronger system for building software About you 6+ years of experience in software engineering, forward deployed engineering, customer engineering, solutions engineering, implementation engineering, or a similar technical customer-facing role Strong coding and systems-thi

We are looking for a deeply technical, customer-facing Forward Deployed Engineer to help product development organizations deploy Command - a new offering from Asana. As we incubate new motions and capabilities on Command, we need engineers who can work directly with customers, move quickly from insight to implementation, and bring real-world learning back into the product. This role is based in our San Francisco or New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Collaborate with Engineering leaders, platform teams, administrators, and hands-on builders to connect Command to the systems where work already happens Establish the technical and operational foundations for adoption and help teams develop more effective ways of planning, building, shipping, and learning Move between cloud infrastructure, integrations, workflow design, automation, product enablement, and engineering coaching Work directly in customer environments — configuring secure access to source-control, CI/CD, ticketing, and identity systems, or pairing with engineering teams to design release workflows and help leaders clarify the context their agents and teams need to make good decisions Write production-quality code when needed and turn customer-specific solutions into reusable product capabilities Leave customers with more than a working deployment — leave them with a stronger system for building software About you 6+ years of experience in software engineering, forward deployed engineering, customer engineering, solutions engineering, implementation engineering, or a similar technical customer-facing role Strong coding and systems-thi

We’re looking for a technical force multiplier to work directly with the founders at Bolna.ai . This is not a traditional Chief of Staff, PM, or engineering role. It sits at the intersection of strategy + product + engineering. Your job is simple: take messy, important problems, figure out what matters, and make things happen. What you’ll do Find and build ways to leverage AI internally to dramatically improve engineering velocity and company operations. Dive into product, business, growth, and engineering data to uncover insights and turn them into clear, actionable recommendations. Work across Engineering, Product, and Growth to supercharge teams, remove bottlenecks, and unlock leverage through technology. Pick up ambiguous, high-leverage problems and drive them end-to-end. One day could mean discovering and iterating on a new tool in the morning, building a prototype that afternoon, and shipping it by the end of the day. Who we’re looking for You have high agency and a founder’s mindset . You’re technically strong enough to build prototypes, deeply curious about how things work, and fast at learning unfamiliar domains. You have strong product and business intuition, can reason from messy data, and communicate clearly in writing. You’d rather skip a one-hour meeting to spend that hour chasing a curiosity that could create 10x the impact . You know that disproportionate outcomes often come from asking the question nobody assigned you to ask. You don’t wait for perfectly scoped tasks. Depending on the problem, you’re comfortable researching, coding, analyzing data, talking to customers, testing a product, or coordinating a team. Most importantly, you have good judgment about what is worth pursuing . If you’re an ex-technical founder or founding engineer , this role will likely feel familiar: high ambiguity, high ownership, and a bias toward figuring things out yourself. We operate with a simple belief: AI, when applied skillfully to the right problems, can create di

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Software Engineer Grow your engineering career building software that matters by powering AI automation for the world’s largest enterprises. Location: Chennai, | Work Model: On-site (5 days/week) About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Senior Software Engineer, you will take meaningful ownership of the software you build. You will bring deep technical expertise to a highly skilled team solving real problems at enterprise scale. As an experienced engineer, you’ll be equipped with cutting-edge AI tooling to design and deliver features of real sophistication, shape team-level engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration . What You’ll Do Develop Clean Software: Architect, build, and optimize core platform features while maintaining a strong personal technical presence on the team. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical sto

NVIDIA's Deep Learning GPUs have 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 growing our company and the team with the smartest people in the world. We are looking for extraordinary Software Engineers to develop and productize NVIDIA's DRIVE OS software. As a member of NVIDIA's Solution Engineering team, you will adapt DRIVE OS solutions to various car platforms equipped with different sensors. We are looking to hire Senior System Software Engineer – AUTOSAR. Ideal candidate will have very strong programming skills, a good grasp of HW & SW Architectures, a solid exposure to AUTOSAR & related architecture, tools and frameworks. What you will be doing: Participate and provide inputs and recommendation into AUTOSAR Architecture evolution with design choices, tools and methodology Architectural explorations on both SW and HW fronts which include feasibility studies, quick prototyping, profiling, safety studies, data analysis and presentation of results Influence next-gen HW architectures and SW Architecture and design Drive complex technical issues to closure that may occur interacting with cross-teams What we need to see: BS/MS, or equivalent experience 5+ years of experience Strong programming skills in C/C++ and scripting skills in Perl, Python etc Good experience and com

About the Team Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large-scale optimization, active learning, and other areas. The team builds the performance-critical systems that allow OpenAI's models to run efficiently across a diverse set of AI accelerators. We work across the inference stack, from low-level kernels and compilers through model execution, to unlock the full capabilities of the underlying hardware. About the Role As a Software Engineer, Trainium, you will help bring OpenAI's inference workloads to AWS Trainium and build the software stack required to run cutting-edge frontier models efficiently on the platform. This is a deeply technical, cross-stack role spanning kernels, compilers, and model execution. You will work on the systems needed to support OpenAI's inference stack on Trainium, including developing and optimizing high-performance kernels, improving compiler support, and enabling efficient execution of the model forward pass. You'll work closely with engineers across inference, compilers, kernels, and ML systems to identify performance bottlenecks and build the software needed to take full advantage of Trainium. The work may range from low-level hardware-specific optimization to compiler and runtime improvements to integrating new model architectures into the inference stack. If you enjoy working at the intersection of ML systems, compilers, kernels, and accelerator hardware, this role is for you. We're looking for engineers who are self-directed, comfortable operating across abstraction layers, and excited to solve challenging performance problems for frontier-scale AI systems. In This Role, You Will Build and optimize OpenAI's inference stack for AWS Trainium. Develop high-performance kernels for critical model operations and workloads. Extend and improve compiler support to efficiently target

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore fosters continuous learning and innovation. Job Summary Reporting into the Systems Engineering organisation, the Distinguished Engineer, End-to-End Security Architect will define and lead the security architecture for Graphcore’s inference service platform. This role is responsible for establishing a comprehensive security strategy spanning platform, infrastructure, networking, service operations, customer assurance, and compliance readiness. Working across multiple engineering and operational functions, the successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers. The Team You will work closely with teams across security architecture, infrastructure engineering, networking, site reliability engineering, platform software, firmware, data centre operations, compliance, legal, customer engineering, and customer security. The team collaborates across the business to deliver secure, reliable, and scalable AI infrastructure and services while supporting customer assurance, regulatory requirements, and operational excellence. Responsibilities and Duties Own the end-to-end security a

As a Senior Curriculum Engineer, you'll work with a team of creative educators and software engineers dedicated to building the future of online technical education, developing courses for MongoDB University . MongoDB University is the online training department of MongoDB and is chartered with building high-quality training at a basic and advanced level across the entire MongoDB product stack. The University team is focused on creating skill-based learning content designed to equip enterprise users and a general audience with the core skills needed to use MongoDB successfully. Your work will directly impact the learning experience of millions of developers around the world, helping them become experts in the field by honing their skills on the fastest-growing modern database. This role will be based remotely in Ireland. What You’ll Do You’ll work closely with a team of curriculum engineers, curriculum designers, and in-house subject-matter experts to build course materials focused on upskilling enterprise customers. You'll write presentations for our partner teams, design hands-on activities, and deliver content, ensuring these MongoDB learning resources are relevant, interactive, and reflect the challenges developers encounter in the real world. In this role, we expect you to continually deepen your knowledge of MongoDB and become an expert in a subset of its offerings. You will articulate the key concepts and skills that need to be covered in a training course, write course materials for an enterprise audience, design the hands-on exercises, and also support the creation of skill badges that assess a learner's knowledge. If you are a current software developer or a system administrator, you will be able to add a lot of value to the team as we strive for our training to be from experts who already use our products or similar offerings. If you are new to MongoDB, you'll be expected to learn MongoDB products quickly and articulate how they work.&nb

About the Team Business Marketing at OpenAI helps companies understand, adopt, and realize value from intelligence at work. We believe our own marketing organization should demonstrate what changes when intelligence becomes part of the work: fewer manual handoffs, faster learning, better use of customer and product signals, and more capacity for ambitious thinking. Marketing Technology works across Marketing, go-to-market, Data, Engineering, IT, Security, and Product to define the systems, agents, data, workflows, and operating model that power modern marketing at OpenAI. The team has an opportunity to rethink marketing operations alongside the people building the models, products, and infrastructure shaping the future of AI. About the Role We are hiring a Head of Marketing Operations & Technology to build the most AI-enabled marketing operations organization in the world. You will own the systems, infrastructure, data, and workflows that help Marketing operate with greater intelligence, speed, and impact. You will set the function’s strategy, decide what to build or buy, and develop new capabilities where existing solutions fall short. This role sits at the intersection of marketing, technology, data, and AI. You will partner closely with Engineering, Product, Sales, Growth, and Revenue Operations while building a team of technical operators and builders who can turn ambitious ideas into dependable systems. We welcome varied backgrounds—from marketing operations leaders who have expanded the function’s traditional boundaries to founders and builders of AI-native products, growth infrastructure, or internal platforms. What matters most is a deep understanding of marketing, strong technical instincts, and the ambition to imagine a fundamentally better way of working. In this role, you will: Define the vision, strategy, and operating model for Marketing Operations & Technology, including how AI should reshape the function. Build and lead a team spanning market

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. Micron’s DRAM Product Architecture Group partners across fabs, test, module, and system teams worldwide to deliver high-performance memory products. We work across geographies and functions to solve complex technical challenges, drive product innovation, and enable industry-leading DRAM solutions. Our team values collaboration, continuous learning, and making a measurable impact through engineering excellence. As a New College Graduate DRAM Yield & Quality Engineer, you will play a key role in monitoring and improving the health of Micron’s server DRAM products. Working with experienced engineers and cross-functional teams around the globe, you will analyze product and manufacturing data, investigate technical issues, and contribute to strategies that improve yield, quality, and performance throughout the product lifecycle. This is a highly visible role with direct impact on customer success and product reliability. Responsibilities Analyze silicon parametric, test, and manufacturing data to identify trends, resolve product issues, and support root cause investigations. Contribute to yield and quality improvement initiatives across new product introduction (NPI), qualification, ramp, and high-volume manufacturing. Collaborate with fab, test, module, quality, and operations teams to drive execution of product health objectives. Develop and maintain automation solutions to improve engineering efficiency, data analysis, and reporting. Apply AI, Agentic AI, and Generative AI tools to en

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. SW Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing R&D related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: Take ownership and drive customer issues with Ethernet or InfiniBand network adapter/DPU deployments from inception to resolution. Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including but not limited to Networking products. Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. Bring independent analysis, communication, and problem-solving to customer experience. Collaborate with engineering to document, recreate and solve issues. What we need to see: BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). 8+ years system software developm

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. The HBM Design Technology Package Co-Optimization (DTPCO) organization is seeking a Staff Engineer! Lead the design and development of test vehicles that enable technology learning and risk reduction for future HBM products! This role serves as a key technical contributor within DTPCO, partnering closely with Architecture, Design, Layout, Product Engineering, Reliability, and Advanced Packaging teams to translate emerging product requirements and technology challenges into actionable test vehicle solutions. You will apply expertise in semiconductor design, physical implementation, silicon characterization, and advanced packaging technologies to define test structures, develop validation strategies, and generate data that drives product decisions across future HBM generations. Unlike a traditional product role centered on ownership of product blocks, this position emphasizes enabling learning in development and engineering. It does so by developing representative test vehicles and characterization structures. Key Responsibilities Serve as a technical lead for HBM test vehicle design and structure development within DTPCO. Partner with HBM product, technology and reliability team. Define and implement test structures targeting key learning areas such as package interaction and reliability Drive test vehicle content definition, structure specifications, measurement requirements, and validation objectives. Analyze silicon characterization and qualification results to identify optimization opportunit

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. As a Manufacturing Development Engineering (MDE) Shift Engineer in Films, Metals, and Implant, you will play a critical role in supporting 24/7 process development for next-generation DRAM technologies. Operating on a 12-hour rotating shift schedule , you will serve as the primary off-hours technical resource for development activities, helping ensure uninterrupted execution of development experiments and rapid technology learning. This position operates in a dynamic development environment where process conditions, specifications, and experimental flows frequently evolve. You will apply sound engineering judgment to disposition development wafers, respond to process and equipment challenges, support experimental execution, and balance development priorities with operational requirements. You will also apply advanced analytics, automation, and AI-enabled technologies to improve engineering decisions, increase learning velocity, and support Micron's digital manufacturing initiatives. Responsibilities Serve as the primary off-hours technical resource for development activities, making decisions on wafer disposition, tool release, process deviations, execution risks, and development priorities. Partner with Films, Metals, and Implant Process Development, Process Integration, Equipment Development, Manufacturing, and Shift Operations teams to resolve process and equipment issues, remove output constraints, and support experimental processing. Apply Statistical Process Control (SPC), E3, Fault Detection (FD)