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Senior Technical Learning Manager Jobs

7,292 active opportunities · Updated for October 2026

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Explore current senior technical learning manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.

O
1mo ago

About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential. About the Role We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability. This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains. Own the end-to-end modeling lifecycle , including scoping, feature engineerin

pythonsqlaws
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P
1mo ago

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

pythonawskubernetes
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P
1mo ago

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

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A
Asana
📍 Warsaw• Full-time• $522K – $594K/yr
1mo ago

The Security team is responsible for protecting Asana’s employees, users, and customers . We are a team of security engineers and risk and compliance practitioners who build innovative safeguards to ensure that our data is protected against threats and that we comply with legal, regulatory, and customer requirements . We collaborate closely with teams across the organization to foster a culture of security throughout our product and operations . We're looking for a Manager of Offensive Security to lead our Offensive Security function in Warsaw . In this role, you will own and grow a team spanning red team operations, application security, and vulnerability management, driving both the strategic direction and the hands-on execution of our offensive security program . You will work directly with engineering leadership, legal, and senior stakeholders to ensure our security posture is contin uously tested, measured, and improved . This role is based in our Warsaw 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 your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Lead, grow, and mentor a team of offensive security engineers across red team, application security, and vulnerability management disciplines while staying actively engaged in day-to-day technical operations . Define team roadmap, OKRs, and priorities in alignment with broader security and engineering strategy . Foster a culture of technical excellence, continuous learning, and psychological safety within the team, partnering with recruiting to scale the team . Plan and execute red team operations and adversary simulation exercises across Asana's infrastructure, products, and corporate environment . Perform clo

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P
28 days ago

ABOUT THE ROLE We are a leading streaming global fitness content company with studios around the world including London, revolutionizing the way people access and engage with fitness workouts. Our platform offers a wide range of interactive, live and on-demand fitness content that caters to users of all fitness levels, empowering them to stay fit and healthy from the comfort of their homes. As the Senior Manager of Broadcast Engineering, you will play a pivotal role in our mission to deliver high-quality, seamless, and engaging fitness content to our global audience. You will lead the Broadcast Engineering team based in London, ensuring the smooth operation and optimization of our broadcast infrastructure, content delivery systems, and broadcast equipment. This position reports to the Director of Global Production Technology. YOUR DAILY IMPACT AT PELOTON Oversee and guide the Broadcast Engineering team in designing, implementing, and maintaining an efficient and reliable broadcast studio facility to deliver the best member experience possible Collaborate with global broadcast engineering leads to maintain parity and system wide connectivity between facilities Manage the procurement, installation, and maintenance of all broadcast equipment, ensuring their proper functioning and readiness for live and on-demand fitness classes Collaborate with cross-functional teams, including Content Production Operations, IT, and Product, to streamline content workflows, improve efficiency, and enhance the overall broadcast transmission process Stay up-to-date with the latest trends, advancements, and emerging technologies in broadcast engineering and streaming to propose and implement cutting-edge solutions Lead the team in promptly addressing technical issues and incidents, minimizing downtime and disruptions to the streaming service Mentor and guide the Broadcast Engineering team members, fostering a culture of learning, growth, and innovation YO

redisawsrest
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Role We are looking for a senior partner success and learning professional to activate cloud partners to co-sell and deploy customer solutions at scale. This role leads the enablement strategy and execution that equip partner teams to turn joint priorities into measurable customer and business outcomes. As a trusted advisor to strategic partners, you will turn shared business priorities into practical enablement programs that help partner sales, technical, customer success, and leadership teams identify joint opportunities, co-sell effectively, and deploy customer solutions successfully. You will own the partner enablement relationship for an assigned portfolio and work across internal teams to ensure programs are coordinated, scalable, and connected to measurable partner, customer, and business outcomes. This is not a traditional training delivery role or a quota-carrying partner account manager position. It is a consultative, partner-facing role for someone who can shape strategy, build relationships, translate complex AI capabilities into effective learning experiences, lead persuasive enablement sessions, and guide strategic partners toward sustained success. In this role, you will: Own strategic partner enablement and success Serve as the primary enablement and success lead for a portfolio of strategic cloud platforms. Develop a deep understanding of each partner’s business, priorities, audiences, existing learning infrastructure, and strategic relationship with our company. Build partner-specific enablement strategies aligned to shared goals, priorities, and the broader partnership strategy. Establish trusted relationships with partner leaders, alliance teams, enablement stakeholders, sales organizations, technical communities, and post-sales teams. Lead ongoing planning conversations, enablement reviews, stakeholder check-ins, and executive updates that keep partners and internal teams aligned. Identify gaps, risks, opportunities, and emerging partn

awsrestmachine learning
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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE The Field Productivity & Enablement Lead is responsible for making our sales motion clear, practical, and repeatable. This person will help define how we sell at Baseten: how managers run the business, how reps qualify and advance deals, how sales works with FDE, product, marketing, and support, and how those expectations get turned into training and day-to-day habits. This is a senior individual contributor role for someone who excels at both strategy and execution. You'll shape the system, but you won't stop at slides or frameworks. You'll build the playbooks, run the training, coach to the behaviors, and help managers ensure the process is followed consistently. We're not looking for someone who wants to force-fit a single methodology onto the business. We're looking for someone who is fluent in MEDDIC/MEDDPICC, Command of the Message, Challenger, and similar approaches, and can take the best ideas from each, adapt them to a technical sales motion, and build an approach that fits how Baseten actually sells. You'll report to the Head of Enablement and Productivity. Frontline managers and reps are your primary customers. RESPONSIBILITIES Manage operating model. Define the core rhythms for frontline managers, including 1:1s, forecast calls, pipeline reviews, deal reviews, and coaching cadences. Create clear expectations for how managers inspect deals, coach reps, and drive consistency across the team. Sale

machine learningaigo
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SA
Scale AI
📍 San Francisco• Full-time• From $302.4K/yr
15 days ago

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

typescriptpythonaws
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V
1mo ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Applied AI Engineer at Vanta, you will play a crucial role in shaping Vanta’s AI offerings, setting technical strategy, and leading projects that leverage AI to deliver smarter, faster outcomes for our customers. You'll be part of a team integrating AI into the Vanta product, working alongside a multidisciplinary group of product engineers, machine learning engineers, product managers, designers, and security and compliance experts to implement, scale, and maintain AI-enabled product experiences. In this role, you’ll build products that enable Vanta’s customers to leverage AI to accelerate their journey towards compliance, managing risk, and earning trust. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an engineer working on Applied AI at Vanta: Work cross-functionally to design and implement AI-powered features to deliver customer value and integrate LLMs with Vanta’s existing products and systems. You’ll work with other product engineers across Vanta to understand how AI systems can accelerate product adoption at Vanta Instrument evaluations, guardrails, and monitoring, and review customer usage to continually improve quality Collaborate with AI Platform engineers shaping foundational AI systems and tooling that accelerate product teams Make pragmatic tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Mentor engineers, champion good technical and product instincts, and model a collaborative, high-ownership engineering culture How to be successful in this role: At least 7 years of industry experience as a software

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O
Okta
📍 Bengaluru• Full-time
14 days ago

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. Identity is the foundation of trust on the internet, and at Okta, we are building a world where anyone can safely use any technology. We are looking for a driven, curious, and empathetic product-minded engineering leader to expand Okta’s market footprint by growing our global integration ecosystem. As the Director of Engineering for the Okta Integration Ecosystem in Bangalore, you will lead, scale, and inspire a talented organization of engineering managers and engineers dedicated to evolving Okta-built integrations across our entire product portfolio. This is a high-impact, high-visibility role. If you are passionate about customer security, obsessed with developer experience, and love engaging with a vibrant technology community, we want to hear from you. What You’ll Do Lead and Scale the Team: Mentor, inspire, and grow a world-class engineering organization in Bangalore, directly managing engineering managers and senior individual contributors while fostering a high-performance culture. Drive Integration Strategy: Own the technical roadmap and execution for Okta’s integrations across a massive gamut of applications—spanning traditional Enterprise systems, SaaS, On-prem infrastructure, Active Directory (AD), Azure, and next-generation AI agents. Advance Modern Infra & Governance: Drive the development, rollout, and governance of the official Okta MCP (Model Context Protocol) Server. Streamline and enable partner integrations through robust Terraform P

awsazurerest
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A
Airbnb
📍 San Francisco• Full-time• From $168K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Recruiting, People Analytics, Finance, Legal and Talent. The Difference You Will Make: We are looking for a Technical Compensation Partner to serve as the dedicated compensation partner for the Technology organization, covering Engineering, Infrastructure, Machine Learning, and Data Science. This role will support VP and Director level tech leaders and their Talent Partners as the primary day-to-day compensation resource. The ideal candidate will be a strong business partner and a builder of compensation programs, tools, and data infrastructure, and must be comfortable operating with autonomy in a fast-moving environment. A Typical Day: Serve as the dedicated compensation partner for the Technology organization, supporting VP and Director level leaders, Talent Directors, and People Partners across Engineering, Infrastructure, ML/AI, and Data Science. Act as the primary point of contact for Talent Directors and senior tech leaders on new hire offers, internal equity reviews, leveling decisions, and out-of-cycle requests. Own compensation cycle execution f

pythonsqlmachine learning
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O
Okta
📍 Bengaluru• Full-time
16 days ago

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. The Senior Alliance Solutions Engineer Opportunity Okta believes in Partners and, together with our technology, will help take Identity mainstream and consolidate our position as a Leader in the market. Partner Solutions Engineers are dedicated to growing Okta business through the Channel, working closely with Regional Alliance Managers, Sales Representatives, Marketing and Partner Enablement. As a Partner Solutions Engineer at Okta, you will have an opportunity to be a well-respected technical expert, building strong, long standing relationships with key Partners and Global System Integrators, supporting both global and India markets. You will become your partners’ trusted advisor for anything Identity and Access Management related and will help them understand how Okta can best fit in their Go-To-Market (GTM) Strategy, integrate with their current offerings, help evangelize partner solutions within the Okta field teams and lead our partners in building Okta practices that deliver exceptional customer outcomes. *This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment. What you’ll be doing Build and manage technical relationships with assigned Partners and team with the assigned Okta Partner Account Team Drive incremental revenue through increased Okta solution sales with the support of Strategic Partners and their GTM strategies. Develop domain expertise and tho

javascriptpythonjava
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GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director of Recruiting, Engineering and Information Technology, you’ll lead GitLab’s India-based recruiting efforts for Engineering and IT while helping shape technical hiring across the broader Asia-Pacific region. You’ll lead recruiting managers and their teams, set the regional talent strategy, and maintain direct ownership of senior and executive-level searches. Reporting to the Vice President of Talent Acquisition or an equivalent senior Talent Acquisition leader, you’ll help GitLab build exceptional technical teams in high-growth markets and create a scalable, well-documented recruiting model. Yo

gitrestmachine learning
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Nvidia
📍 Remote, France• Remote
1mo ago

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs in artificial intelligence. We need individuals who can enable customer and partner productivity. Our goal is to develop long-lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone who is always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field. You will be working with the latest NVIDIA technologies coupled with the most advanced CSP infrastructures, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners and our end-customers. For this role, the primary focus will be on our strategic partnership with Google (GCP). Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI. Dynamically engaging with developers, researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of challenges and solutions. What You'll Be Doing: Develop and demonstrate solutions based on Hyperscalers and NVIDIA’s pioneering GenAI software and hardware technologies to developers Work directly with key customers and our Hyperscalers partners to understand their challenges and provide the best solutions based on NVIDIA products Perform in-depth analysis and opti

REMOTEgcpdockerkubernetes
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O
Okta
📍 Bengaluru• Full-time
16 days ago

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. About The Team Global Innovation Center SE team (Presales): Over the last 3 years, Okta in Bangalore has fueled our growth around the world. The Global Innovation Center Presales team has been a crucial part of this growth. We are expanding this team made up of exceptional high-performing individuals. In this team, you will focus on being a customer-facing solution engineer crafting identity and security solutions for commercial segments in the US, ranging from digitally native start-ups to scaling SMBs. As a Solutions Engineer you will: Support our customers along their sales journey by showing them the value of the Okta technology through live demonstrations and sales presentations. Sell directly to IT managers, developers, product managers, and occasionally more senior executives across various industries.. Have a focus on our Okta Workforce Identity solutions and be able to model how this solution will support their current architecture requirements and use cases Execute well-defined, outcome-focused POCs Maintain a broad and deep technical understanding of the Okta product line and the underlying technologies and protocols Occasionally participate in local and regional events evangelising Okta as a presenter and an attendee. We are looking for: Ability to work in the EST Time Zone A minimum of 5 years of working experience in IAM or a related SaaS field as a pre-sales engineer. Expertise or hands-on experience in IAM, single sign-on, multi-factor authe

awsgitrest
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