Technical Learning Manager Jobs

Technical Services has nearly 200 global team members in offices spanning the entire globe. The team has offices in New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions. We have an incredible opportunity for a transformational individual to join the MongoDB Technical Services team, leading a regional team of MongoDB ‘Fedramp’ Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s database functions to enable successful Fedramp customer implementations. Click here to learn more about our Technical Services team . We are looking for candidates who are comfortable working a Wednesday - Sunday or Saturday - Wednesday schedule. We're looking to speak with candidates based on the east coast and able to work EST 1st shift hours. Typical responsibilities of the team include: Diagnosing and resolving performance related issues Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements Advising on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution Globally collaborating with peer teams to provide seamless and efficient regional handovers of follow-the-sun issues Continuously learning and growing skills via participation in training, maintaining industry awareness and development of training to share subject matter expertise more broadly across the team Increasing case-deflection numbers by contributing to knowledge-base, distributing knowledge to peers and the general MongoDB community Working on named accounts to build rapport and an in-depth understanding of customer architecture and environment(s) while encouraging

The database market is massive and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. Technical Services has nearly 200 global team members in offices spanning the entire globe. The team has offices in New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions. We have an incredible opportunity for a transformational individual to join the MongoDB Technical Services team, leading a team of MongoDB Cloud Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s Cloud service, Atlas, to enable successful customer implementations at scale. We are looking to speak to candidates who are based in Sydney or Melbourne as this role will require working in the office 3 or more days a week. Roles and Responsibilities Diagnosing and resolving performance related issues Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements Advising on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution Globally collaborating with peer teams to provide seamless and efficient regional handovers of follow-the-sun issues Continuously learning and growing skills via participation in training, maintaining industry awareness and development of training to share subject matter expertise more broadly across the team Increasing case-deflection numbers by contributing to knowledge-base, distributing know

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 enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is on a mission to bring everyone the inspiration to create a life they love. The Applied Science team plays a critical role in this mission by developing cutting-edge machine learning solutions that scale across all of Pinterest engineering teams (see our team’s publications ). We're looking for a highly technical Engineering Manager with a deep understanding of modern recommendation systems to manage, lead and develop a team of machine learning researchers and engineers within the Applied Science team. In this role, you will help the team build a portfolio of work which can balance that addresses both immediate short-term business needs and long-term strategic breakthroughs. You will partner with senior leaders to evolve our technical roadmap and directly drive Pinterest’s core mission forward. W

About the Team The Enablement team translates OpenAI’s product innovation into real-world customer impact by equipping customer-facing teams with the knowledge, practice, and frameworks they need to succeed. Within GTM onboarding, we establish a shared foundation during the first 30 days and build deeper role readiness for technical GTM teams as they progress through ramp. About the Role OpenAI is hiring a GTM Technical Onboarding Program Manager to define and deliver the role-specific onboarding experience for technical customer-facing GTM roles. Foundational onboarding establishes a common baseline during the first 30 days. This role owns the deeper development that follows, with a particular focus on days 30–90, when new hires need to translate product and deployment knowledge into practical, job-specific capability. You will partner with technical GTM leaders, Product, and subject-matter experts to turn complex product and deployment concepts into role-specific curricula, hands-on practice, assessments, certifications, and manager reinforcement. Success means technical GTM new hires build the product fluency, scoping ability, solution judgment, and customer-facing confidence required for their roles. Managers have clear readiness signals, learning experiences stay current as products evolve, and role-specific ramp becomes repeatable across teams and regions. In this role, you will: Own the design and delivery of day 30–90 role-specific onboarding for technical GTM roles Define learning outcomes and readiness standards in partnership with technical GTM leaders Build curricula and learning paths that translate complex product and deployment concepts into job-specific behavior Design and facilitate hands-on experiences such as labs, demos, simulations, technical discovery practice, and customer scenarios Create assessments, certifications, and manager-ready signals of proficiency and deployment readiness Partner with Product, technical subject-matter experts, and G

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord's Safety ML team builds the machine learning systems that protect 200M+ users. The team's mission is to make Discord a place where people can build genuine friendships without exposure to harm, at a scale where manual review alone can never keep up. We're looking for a highly technical, hands-on, and mission-driven Engineering Manager to lead our Safety ML team. As the manager responsible for Safety ML, you will own the detection systems that sit between attackers and our users; real-time and batch models for content understanding, account integrity, and platform abuse. What You'll Be Doing Build and lead an exceptional team of highly-engaged ML engineers by hiring, coaching, and instilling a sense of ownership and impact. Drive the technical vision and roadmap for Safety ML by collaborating with your team and partners across Trust & Safety, Product, Policy, Legal, and Data Science. Own the end-to-end lifecycle of production safety models: defining new capabilities, measuring performance, and monitoring the operational health of systems that make millions of enforcement decisions per day. Manage processes and leverage your technical expertise to continually raise the bar and ensure your team delivers extraordinary results. Partner with Trust & Safety on label quality, golden sets, and automating manual investigations. Work with other Engineering Managers to continuously improve the Engineering organization and uphold our workplace philosophy . What you should have You have 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist. You have 3+ years of ex

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox Ads business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users, and more business values to our advertisers. We’re looking for an EM to lead a team of exceptional ML infrastructure engineers, build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users. You Will: Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference. Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature). Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment. Recruit, mentor, and grow a high-performing team of ML infrastructure engineers. You Have: 5+ years of experienc

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations — the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix. We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day. In this role you will Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems Define

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Manager, Machine Learning on Twilio’s Conversation Memory team. About the job This position is critical to leveraging Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI, specifically by owning the development of 0-to-1 platform features that empower developers to build sophisticated, context-aware customer engagement applications. This is a highly technical, hands-on role, requiring a "player-coach" mentality to actively contribute technical expertise, bridge the gap between theoretical research and production-grade experimentation, and provide strategic direction to the team, rather than being purely a people manager. The leader in this role must demonstrate a strong bias for action, establishing a high-performing engineering setup that enables rapid iteration, experimentation, and deployment of models in this 0-to-1 set

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Manager, Technical Support About the job This position is needed to lead one of Twilio's Customer Support teams in LATAM. In this role, you’ll help us scale and grow to deliver an extraordinary customer experience for Twilio customers and internal Twilions. We are looking for a people-person who’s passionate about delighting customers, mentoring and developing staff, learning about new and challenging subjects, and helping us improve processes and procedures. This role joins a fast-growing team of managers leading our global Voice Segment Platform Applications (VSPA) in LATAM. Reporting to the VSPA Senior Manager, this position is essential in supporting Twilio's continuing growth initiatives. Responsibilities In this role, you’ll: Ensure excellent partner and customer satisfaction, consistently meeting or exceeding operational KPIs such as Agent CSAT, Time To Solve, SLA adherence, schedule adherence, shrinka

The Team: We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset. The Opportunity: Join a diverse team of traditional and non-traditional backgrounds, working together to solve complex problems the right way. You will lead a team immersed in a startup-like environment where you will be challenged, but also will immediately witness your contributions to Datadog. You Will: Manage, develop, and mentor a fast-paced team of Solutions Engineers who respond to client requests, reproduce and troubleshoot issues, and dive into the 400+ integrations that Datadog works with Ensure successful onboarding of new Solutions Engineers Help triage Solutions Engineering queues and work with Product and Engineering on urgent matters Review and help prioritize Solutions Engineering escalations Dispatch customer requests throughout the day as part of a queue rotation schedule Oversee demo training and assist in demo certification Assist with incident response during outages/incidents, communicating with customers and providing our internal teams with info that we’re getting first-hand from those customers Build out documentation and knowledge base articles for a variety of technologies You Are: Passionate about people management and/or mentorship with previous experience leading a team Self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach A tinkerer with some programming experience and a basic knowledge of Linux Able to work a rotating schedu

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage, develop, and mentor a fast-paced team of Solutions Engineers who respond to client requests, reproduce and troubleshoot issues, and dive into the 1000+ integrations that Datadog works with Ensure successful onboarding of new Solutions Engineers Help triage Solutions Engineering queues and work with Product and Engineering on urgent matters Review and help prioritize Solutions Engineering escalations, and follow up with customers in Japan Dispatch customer requests throughout the day as part of a queue rotation schedule Oversee demo training and assist in demo certification Assist with incident response during outages/incidents, communicating with customers and providing our internal teams with info that we’re getting first-hand from those customers Build out documentation and knowledge base articles for a variety of technologies Who You Are: Passionate about people management and/or mentorship with previous experience leading a team Self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach A tinkerer with some programming experience and a basic knowledge of Linux Fluent in written and spoken English and Japanese as this role will

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage, develop, and mentor a fast-paced team of Support Engineers who respond to client requests, reproduce and troubleshoot issues, and dive into the 1000+ integrations that Datadog works with Ensure successful onboarding of new Support Engineers Help triage Support Engineering queues and work with Product and Engineering on urgent matters Review and help prioritize Support Engineering escalations, and follow up with customers in Korea Dispatch customer requests throughout the day as part of a queue rotation schedule Oversee demo training and assist in demo certification Assist with incident response during outages/incidents, communicating with customers and providing our internal teams with info that we’re getting first-hand from those customers Build out documentation and knowledge base articles for a variety of technologies Who You Are: Passionate about people management and/or mentorship with minimum 3 years of experience leading a team Curious, self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach A tinkerer with some programming experience and a basic knowledge of Linux Business or native-level fluency in English and Korean (

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The mission of the search and discovery team is to connect a billion users with the best connections and content at the right time, covering an extremely diverse range of recommendations and search problems at high scale. This is fundamental to how we personalize the experience to drive engagement and retention for Roblox users. Our recommendation systems suggest all games that the users see and play with across all surfaces. As a Senior Engineering Manager for the Search & Discovery ML team, you will lead the architects of exploration for one of the world's largest immersive platforms. You will be responsible for the core algorithms that connect over 120 million daily active users with millions of 3D experiences, items, and social connections. This is a high-impact leadership role where your team’s models directly determine the growth, retention, and satisfaction of the Roblox community. You will move beyond traditional recommendation systems into the realm of multimodal, agentic, and generative discovery . You Will: Lead and grow a high-performing team of machine learning engineers, fostering a culture of ownership, collaboration, and engineering excellence. Establish a lo

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord exists to give people the power to create space to find belonging — to talk regularly with the people they care about and build genuine relationships with friends and communities close to home or around the world. We're looking for an Analytics Manager to lead our Scaled Abuse Countermeasures and Research (SCAR) team — the team that safeguards Discord’s platform integrity. SCAR detects, analyzes, and disrupts high-volume threats through a combination of automated systems, deep research, and active incident response. This role reports to the Head of Safety Intelligence and Automation. What You'll Be Doing Lead and mentor a team of data analysts, scientists, and researchers who investigate active threats, identify platform abuse vectors, and uncover adversarial patterns. Define a strategic roadmap that prioritizes and disrupts the highest impact abuse operations through structured research, rigorous analyses, and live experimentation. Collaborate closely with the safety machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures. Partner cross-functionally with Product, Engineering, Data Science, Policy, Legal, and Revenue, influencing safety-by-design decisions upstream of abuse. Influence capacity toward high-impact infrastructure, such as automated rule engines, ML models, or agent moderation tools. What you should have 2+ years of people management experience leading technical teams, including engineers, data scientists, analysts, applied researchers, or equivalent. 4+ years of experience working in a Trust & Safety dom