This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Opportunity Adyen operates as a full-stack payment processor and licensed global banking institution, capturing the behavior and complex interactions of billions of shoppers and millions of businesses worldwide. As we scale our footprint in banking, card issuing, and embedded financial products, the financial risk profiles we manage are significantly higher than traditional payment processing alone. We are leveraging our unique position to build advanced, data-driven risk management capabilities to proactively detect and mitigate platform fraud and commercial risk. We are looking for a Group Product Manager (GPM) to lead and develop a senior team of product managers within Adyen’s Commercial Risk & Platform Fraud group. This is not a standard product role. We need an all-around biztech leader who possesses strong technical instincts but treats the domain like a high-growth business, balancing architecture with a commercial mindset, regulatory strategy, and high-friction cross-functional alignment. What You'll Do Drive Commercial Excellence: Formulate and execute a strategic vision that transforms risk mitigation into customer value. Treat these premium, paid capabilities like your own business, balancing pricing strategy, revenue drivers, and costs to ensure responsible growth. Lead & Develop Senior Talent:
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ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team owns the experiences that turn a single-player tool into a multiplayer habit: the loops that bring people back, help them find their work, and pull their colleagues into a mural. Mural's self-serve growth runs through these experiences, and engagement and retention are central to how the business grows. YOUR MISSION As Senior Product Manager, Growth & Engagement, you will own the end-to-end self-serve experience, from a user's first touch through activation, return usage, and conversion to paid. You will treat the full funnel as one system: acquisition, activation, engagement, retention, sharing, and monetization. You will run a high-tempo experimentation practice, partner deeply across Product, Engineering, Design, Data, Marketing, and Sales, and make the calls that turn occasional users into teams that rely on Mural every week. This is a role for someone who wants to own real growth outcomes, not just ship features. You will own the surfaces that decide whether Mural's self-serve engine grows. Engagement and retention here move the business directly, and you will own the full loop across growth and engagement rather than a narrow slice of it. You’ll have a rare end-to-end view of the funnel, from acquisition through in-product engagement. You will work alongside thoughtful product, design, and engineering partners who care about craft and impact. WHAT YOU'LL DO Own product strategy, roadmap, and execution for the self-serve growth and engagement experience, from first touch through activation and return usage Build and optimize the invite, sharing, and join experience Drive activation and retention by improving the moments that bring people back: home and dashboard, notifications, search, rooms and folders, comments, and more Partner closely with Marketing to connect acquisition and re-engagement with in-product activation across
About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m
Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are The General Manager & Director, GTM Strategy is the Directly Responsible Individual (DRI) for the successful execution of the Payroll FY27 plan . You own the outcome — the bookings, the LTV, the margin trajectory, and the decisions that get us there. You are a business owner first with strong General Management instincts. You treat Payroll as a P&L and a growth engine to run, not a function to coordinate. You are comfortable setting commercial strategy, informing the pricing decisions, and getting into the operational detail when the numbers are off track. You thrive in creation environments where product, pricing, and operating models are still taking shape, and you bring the structure, discipline, and financial rigor to scale the business profitably. You lead through ownership and influence rather than headcount, and you are trusted to run a business line and deliver its results. You will report to the leader with oversight of our Acquisition System and Payroll business line, in the CMO organization. Your Success Profile What You Will Work On Owning the Payroll Business and Financial Outcomes Serve as DRI for the
About this role OpenFX is hiring its first Product Operations team member. You’ll work directly with the Head of Product Operations to refine and scale our Product Operating System , helping a small, high-calibre product team build the cross-border financial infrastructure of the next decade. This is a high-leverage seat. You will be empowered to contribute across product craft, launch motion, AI-augmented workflows, and the insights program that connects the product team to the rest of the business. You will use AI not as something you teach in a workshop but as the multiplier for your own work, and you will help every PM around you do the same. The work is real and the surface area is wide. We are also being deliberate about who this role attracts. We treat it as an incubator for ambitious talent. The right person here in eighteen to twenty-four months has working visibility across product, engineering, GTM, and operations at a scaling fintech, and the experience to move into a senior PM, product leadership, builder, or founder role next. If you want to learn how a scaling product organization gets built and operate at the seams while you do, this is a seat for that. About OpenFX OpenFX is the cross-border financial infrastructure platform built on stablecoins. We move more than $50B annualized in volume for fintech clients across five continents, with a multi-product surface across FX, banking, payments, and yield. We have shipped a working FX engine and are scaling toward the next order of magnitude on volume, take rate, and currency coverage. We operate as a small, dense team. Eight Product Managers, distributed across the US, Bangalore, and London, owning the FX, Banking, Payments, Growth, and Earn pillars. The product organization sits inside a company moving fast enough that the operating system around it is the leverage. Where you will have impact Four contribution areas. You will be empowered to drive these forward and we expect to flex the specific m
Solution Architect Sigma Computing The SA role has evolved. Here’s the version we’re hiring for. The SA job in 2026 is not the SA job in 2023. Three things now sit at the center of how we evaluate this role. This hire has to do all three at a senior level, with the architectural depth to back it up. 1. Use AI every day to do the job better. If you are not using Claude, ChatGPT, Cursor, or equivalents to accelerate your account prep, architecture diagramming, prototype builds, RFP responses, and discovery synthesis, you are getting outworked by SAs who are. We expect this hire to treat AI tooling as default infrastructure, not novelty. Come with a point of view on what you run, why, and how you use it to compress weeks of work into days. 2. Sell AI into the account. Buyers want to talk about agents, MCP, A2A, context engineering, and which model is powering what. You have to be fluent. You know Sigma’s AI surface cold: Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, and warehouse-native agent patterns. You can architect Sigma agents and warehouse agents into a customer’s stack and explain the tradeoffs to a head of data and a CISO in the same call. You also speak credibly about Claude, OpenAI, Gemini, and the broader stack the customer already runs. 3. Sell against AI. Every enterprise deal has AI competition in it. Sometimes it is Databricks Genie. Sometimes it is Snowflake Cortex Analyst. Sometimes it is a systems integrator pitching a bespoke agent built over the weekend. You know where each of these breaks at scale, where Sigma’s warehouse-native architecture wins on governance, freshness, and cost, and how to draw the line for a skeptical CDO without hand-waving. You can defend that position in an architecture review, on a security questionnaire, and across three follow-up calls. About Sigma Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, an
Role: Senior AI Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About the Role GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale. This is a high-impact AI engineering role where you will own the full lifecycle—from problem framing to production deployment . Initially, you will focus on prompt engineering and evaluation systems , building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines . A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior . Core Responsibilities 1. Prompt Engineering Design prompts for diverse document classification and extraction tasks Treat prompts as formal specifications (precise, structured, and edge-case-aware) Develop few-shot, chain-of-thought, and structured output templates Manage prompt lifecycle: versioning, testing, and rollback 2. LLM Output Evaluation Create and maintain ground truth datasets Build automated evaluation pipelines (precision, recall, field-level accuracy) Identify and resolve conceptually incorrect outputs despite surface correctness 3. AI Agent Orchestration Design multi-agent workflows for document processing Implement tool-use patterns and integrate MCP servers Optimize orchestration for scale and efficiency 4. Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems 5. Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate product requirements into technical architectures Communicate system behavior, limitations, and quality
About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. About the Role As a Full Stack Engineer , you will build the product experience—dashboards, chat interface, persona-specific layouts, and the API layer that connects UI to agent + data layers. You will also own internal workflows that enable finance sign-off and platform governance. What You’ll Do UI & Product Experience Build theNextJSweb app: dashboards, chat interface, and persona-based views. Implement data-heavy UI patterns: tables, drilldowns, charts, exports. Ensure accessibility, usability, and consistent experience across personas. Backend-for-Frontend (BFF) Build andmaintaina NestJS BFF layer connecting UI to agent/data services. Treat BFF APIs as versioned platform contracts—manage changes cleanly. A
P-1605 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data
P-1603 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data
P-1602 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data
Job Description Vise is looking for a curious, driven, and tech-savvy Technology Operations Lead to join our growing team. This is a dynamic, cross-functional role that blends IT support, cybersecurity awareness, facilities coordination, and project planning — all with a forward-looking focus on artificial intelligence and emerging technology. If you're someone who gets excited about new tools, loves solving problems, and wants to grow alongside a team that's embracing the future of work, we want to hear from you. This role is onsite in NYC, in our SoHo office. What you bring on day one: 2-4 years of experience in a relevant role such as IT Support Specialist, cybersecurity, SOC Analyst, Systems Administrator, or similar Foundational knowledge of networking, hardware, and operating systems Basic understanding of cybersecurity principles and best practices Strong communication skills and a collaborative, team-first attitude Experience with or strong interest in AI tools (e.g., ChatGPT, Copilot, automation platforms) Exposure to project coordination or ticketing systems (e.g., Jira, ServiceNow, Asana) Familiarity with cloud platforms (AWS, Azure, or Google Cloud) What you will own: IT & Technical Support Provide day-to-day technical support for hardware, software, and network infrastructure Maintain and troubleshoot workstations, peripherals, and office technology systems Manage user accounts, access controls, and software licensing Cybersecurity Assist in monitoring systems for potential security threats or vulnerabilities Support compliance efforts and help enforce security policies and best practices Participate in security awareness initiatives across the organization Facilities & Technology Infrastructure Support office builds, moves, or expansions from a technology perspective Manage hardware inventory and asset lifecycle Maintain hardware infrastructure in meeting rooms and office AI & Emerging Technology Stay current on AI tools, automa
About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m
Cyber Resilience Architect, APJ Rubrik is seeking a Cyber Resilience Architect (Field CTO) to drive technical strategy and business leadership across the APJ region. In this role you will act as a transformation architect operating at the intersection of business strategy and technical execution. You will help large enterprises modernize their approach to Data Protection, Cyber Recovery, Identity Resilience, and AI-driven security and governance. You are accountable for influencing regional revenue outcomes by leading high-impact discovery, shaping differentiated architectures, and guiding strategic account execution. You will evangelize and architect Rubrik’s portfolio across on-prem, cloud, SaaS, identity, cyber resilience, and AI solutions. Core Responsibilities Executive Advisory: Serve as a trusted advisor to CIOs, CISOs, and Board. Partner with CIOs on modern data protection, operational efficiency, and cloud strategy. Partner with CISOs on cyber resilience, identity protection, and breach recovery readiness. At the executive level, position data resilience as a board-level priority — aligning Rubrik’s platform to measurable outcomes such as operational continuity, risk reduction, regulatory compliance, and AI readiness. Revenue Acceleration: Partner with regional leadership to hit revenue goals by leading high-impact technical discoveries and architecting innovative solutions for Tier-1 accounts. Deal Orchestration: Master the MEDDIC framework to qualify opportunities, identifying technical "champions" and neutralizing competitive threats through superior architecture. Product Liaison: Distill complex field requirements into actionable insights for the Product Management team, ensuring the APJ voice influences our global roadmap. Technical Leadership: Design integrated solutions across On-Prem, SaaS, Identity, and Multi-Cloud environments, with a specific focus on Cyber Security including designing isolated recovery environments (IRE) and clean room recovery.
The OT Cybersecurity Specialist is responsible for supporting the implementation, monitoring, and management of cybersecurity measures for the organization’s Operational Technology (OT) systems. This role involves securing industrial control systems (ICS), SCADA systems, and other OT assets from cyber threats, conducting vulnerability assessments, monitoring networks for anomalies, and responding to security incidents. The OT Cybersecurity Specialist will work closely with other IT and cybersecurity teams to ensure a robust and secure OT environment. Source: Adani Group | Job ID: 45584
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