Technical Program Manager 2c Extensibility Programs Salary India in Dublin

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workf

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design

As a Contract Sourcer on our Talent Discovery team, you will be the pipeline generation engine supporting MongoDB's most critical hiring needs across the business. You will have the unique opportunity to become a sourcing subject matter expert, recruiting for technical and non-technical roles alike. In this role, you will identify, engage, and qualify top talent. This opportunity is ideal for individuals who embrace change, thrive in a fast-paced, ever-evolving environment, and are excited to grow their careers in recruiting while expanding their expertise across a broad range of functions as business priorities evolve. In this role, you will Support critical MongoDB roles globally through strategic passive talent sourcing. Individuals will be expected to quickly pivot to support new areas of MongoDB’s business as hiring needs arise, and show flexibility to take on various positions across Go-To-Market and Technology teams as needed Work closely with recruiters to understand business needs and deliver qualified talent accordingly, becoming an expert in the external market and a consultative talent advisor Screen candidates for nuanced roles, ensuring strong alignment to role requirements and maintaining exceptional documentation and data integrity as candidates are progressed within the hiring process Partner with coordinators, hiring managers and interviewers to deliver an exceptional candidate experience, maintaining a high-touch and personalized process for all candidates The right person for this role will Possess a proven track-record within technical recruiting, maintaining deep expertise in passive candidate sourcing specifically Maintain creative and out-of-the-box sourcing techniques to tap into new pools of talent, while uncovering new tactics through research and knowledge-sharing with peers Have an analytical mindset, with the ability to conduct autonomous research and utilize data to inform strategy and influence stakeholders Exhibit exceptional organiz

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. You’ll be responsible for: Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and

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 Product Sales is a team of functional and technical specialists who both lead and advise on deals for the most strategically important products in Stripe’s portfolio. Revenue suite Product Sales is tasked with attacking a $100B market opportunity for back office finance automation across billing, tax, revenue reporting, and data. What you’ll do As a Tax Account Executive at Stripe, you will use your sales and product expertise to help drive growth through both existing and new to Stripe customers. You will collaborate with the core sales, marketing, product marketing, and product teams to develop deep product and industry knowledge and drive strategic deals. You will be instrumental in leading in depth product discussions with existing and prospective customers – and building and executing against our go to market strategy. Responsibilities Drive revenue and retain users to achieve and over perform on target and KPIs Lead discussions with our largest existing and prospective customers Contribute to the development of go-to-market playbooks alongside product, marketing, sales, and technical services stakeholders Understand and articulate the value propositions of Stripe Tax to key stakeholders, including technical teams, financial departments, partners and C-suite executives. Develop a deep understanding of global indirect tax requirements of potential customers. Build and maintain relationships with clients, guiding them through the sales pr

We’re looking for a Marketing Automation Manager to join our Marketing Tech & Automation Team. This is an individual contributor role focused on designing and building the automation, orchestration, integration, and AI-driven workflows across MongoDB’s marketing technology ecosystem. The ideal candidate will blend technical fluency with marketing automation expertise by connecting data, tools, and workflows to help marketers move faster, smarter, and with greater precision. You’ll work primarily with Workato, Claude, collaborating with the owners of platforms such as Marketo, Iterable, Splash, Intercom, Workfront, and Salesforce to optimize workflows and data processes within and across systems. A strong understanding of marketing processes, Martech, Integration & APIs, AI and automation will help you succeed in this role. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Main Responsibilities: Design, build, and maintain AI driven automations and integrations across marketing technologies to streamline workflows and bring operational efficiencies Partner with multiple stakeholders including regional marketing teams, marketing operations and marketing analytics to identify automation opportunities and remove process friction Translate marketing and campaign needs into automated, scalable system solutions, using Workato and related tools Collaborate with cross-functional teams, including IT, Marketing, Marketing Analytics, Engineering, and our Marketing Ops to ensure data integrity and alignment Monitor, troubleshoot, and optimize existing integrations for reliability and performance Create and maintain documentation, including automation playbooks and best practices Act as a subject matter expert and consultant within Marketing on process design and automation strategy Support governance, compliance, and change management related to system workflows and integrations Requirements: 5+ years of experience in

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 Developer Productivity group is responsible for making Stripe’s developers happy and productive. We work on tools, processes, and code refactoring to accelerate Stripe engineering as Stripe scales. We’re looking for people with an interest in building the tools to improve the day to day experience of Engineers in Stripe. The ideal candidate will have a passion for solving developer experience problems, and a pragmatic ability to ship results iteratively—powered by a mix of technical expertise across some or all of: language processing tools; version control systems; build systems; and distributed systems engineering. You’ll be working on a mix of engineer-facing systems, CI infrastructure platforms, and big-data engineering. What you’ll do We have a ton of important work to do, which is why we’re hiring! Our active projects change all the time, but here are a few examples of recent projects so you can get an idea of the types of work we do: Build and manage systems to handle CI at massive scale—including batching, speculative stacking, merge-race inhibition, and more. Build and manage systems to handle our enormous CI test suite–identifying and managing flaky tests, assessing and reproducing flakiness, and optimizing for test effectiveness. Enhance our CI systems for reliability, including adaptive response to available capacity, resilience and self-recovery from outages, and highly-leveraged observability. Detect and isolate code breaka

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 Solutions Engineer, you'll serve as a trusted technical voice, guiding customers toward clarity, feasibility, and alignment on the end-to-end solution. Because Vanta is the platform our customers rely on to build and run their GRC programmes, this is a natural next step for GRC professionals, programme managers, auditors, and compliance practitioners who want to apply their domain expertise in a strategic, customer-facing pre-sales role. You’ll be an integral part of the Sales team, working to ensure technical fit and create innovative solutions for our customers. Your attention to detail, focused on customer needs, will ultimately improve retention and overall success. With this role being specific to support our DACH Market account teams and customers, having full German Language proficiency is a must for this successful candidate. This role will be based from our Dublin office with an office-centric hybrid schedule. The standard in-office days are Tuesday, Wednesday, and Thursday. GRC practitioners are especially encouraged to apply—whether you've managed GRC programmes in-house, audited them as an internal or external auditor, or helped customers meet their GRC programme needs at a GRC vendor, you'll bring exactly the customer empathy and domain fluency this role thrives on. What you’ll do as a Solutions Engineer at Vanta: Own the technical relationship with our commercial prospects/customers Develop a deep understanding of our product capabilities, integrations, configurations messaging, partner ecosystem, and competitive landscape. Listen carefully to prospects and clients to provide market feedback to the product te

As an Enterprise Customer Success Manager, you will proactively drive new product attachment and effective strong relationships across our largest and most strategic customers. You’ll advocate for the customer internally and focus on a positive customer experience. Interactions are rooted in relationship-management, first and foremost, while also advocating for growth opportunities. Enterprise Customer Success Managers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. 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: Act as a strategic partner to customers, orchestrating cross-functional internal teams and engaging executive, technical, and business stakeholders to understand customer goals and translate them into a clear, deliverable Datadog value narrative. Proactively build and maintain executive relationships to deliver clear, outcome-driven value stories that connect Datadog technical use cases to measurable business results. Lead QBRs and strategic reviews as a forum to demonstrate impact, align on priorities, and define next-step initiatives. Analyze adoption and usage trends to quantify value delivered, extract insights from large datasets, identify gaps, and drive financially grounded commercial recommendations and strategic opportunities. Position Datadog as a critical observability platform that enables reliability, efficiency, and informed decision-making. Own and project manage the on-boarding process for new customers Collaborate cross-functionally with AEs, SEs, TAM, Product, Support, Enablement and other technical teams to ensure consistent value delivery and messaging. With demonstrated understanding of observability and security pla

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together. W

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. We are looking for a Lead with strong technical leadership experience as well as technical depth who is looking to collaborate closely with Cloud Operations Engineering Management in building and maintaining a high-performing team that delivers high quality outcomes while fostering psychological safety and professional growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Core responsibilities Team leadership: partner with and assist COE Management with the tasks of providing ongoing technical feedback to engineers, support their growth and creating an inclusive team environment Execution and delivery: play a key role in guiding team members through project deliverables ensuring high quality outcomes while also assisting in meeting or resetting timelines when required Time management: between assisting team members with day to day tasks ranging from incident to project management Cross-functional collaboration: work closely with Product, Technical Services and R&D to surface team’s pain points and drive alignment with the goal of providing an excellent user experience to the end customer Coordinate with Lead counterparts within Cloud Operations as well as Technical Services to ensure our uptime guarantees to the MongoDB Atlas customer base Assist and collaborate with the team on scoping, designing, deploying and ongoing maintenance of systems that focus on reducing mean time to resolve customer incidents Detec

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 Okta on Okta Identity Architect Opportunity This is not a traditional architect role. At Okta, an Okta on Okta Identity Architect is the premier technical execution tier above Principal Engineer—acting as the ultimate hands-on practitioner of our own cloud platform. While you won't be writing application code, you will get your hands dirty configuring, extending, and testing the boundaries of the platform. You are the builder who proves our platform works in the real world. As organizations successfully adopt phishing-resistant MFA, attackers have shifted their tactics—increasingly deploying Adversary-in-the-Middle (AiTM) phishing kits and info-stealer malware to execute session hijacking via cookie theft. Furthermore, with the explosive rise of autonomous AI workloads, securing human identity is no longer enough; we must now protect and govern a fast-growing sprawl of non-human, agentic workflows. Are you an elite engineer running Okta at a customer organization today? Have you ever configured our platform, pushed Okta Platform Services to their limits, and thought: "If I worked at Okta, I know exactly how we could make this platform better" ? We are looking for a highly mature, technical leader who is already a deeply experienced, hands-on Okta customer practitioner to drive the technical execution of our Identity Security & Agentic Identity portfolio. In this role, you will transition from being an external customer to becoming the technical corn

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the company OpenAI’s mission is to build and ensure that safe artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings together the world’s best scientists, engineers, and business professionals to accomplish this. About the role We are looking for a Sales Engineering leader to be responsible for overseeing all technical aspects of the OpenAI sales process ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models and technology. We are looking for a technical leader who represents the voice of the customer, aligning our customer-facing technical teams around a unified and exceptional experience across the customer lifecycle. You will be crucial to the success of our GTM strategy and will have a significant influence in shaping the direction of our technology and those who adopt it. Your responsibilities will encompass overseeing all technical aspects of the sales process for our Digital Natives segment. This includes not only the pre-sales activities but also at times the post-sales technical support ensuring a cohesive and outstanding experience for our clients. Your teams of Solutions Engineers will rely on your leadership to guide them in delivering exceptional service and technical expertise. You will work closely with Sales, Customer Engagement, Security, and Product teams. In this role, you will: Help craft and continuously refine the strategic vision for OpenAI's Solutions Engineering function, aligning it with broader company objectives and the evolving needs of our diverse clientele. Lead and mentor a multifaceted team through the entire sales cycle, fostering an environment that promotes seamless customer engagement, maximum adoption, and scalability. Collaborate with cross-functional teams including GTM, Product, Engineering, and Research, ensuring synergy and cohesion in our customer engagement strategies. Act as the escalation technical contact for key clients