About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience
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About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor
About the Team The Artifacts team is building the AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, analyses, and new forms of interactive work products. We are rethinking what creation looks like when models can move from an ambiguous user goal to a polished, editable artifact with strong structure, taste, correctness, and speed. This is a high-agency team working across product, infrastructure, and research. We partner closely with model training teams to shape how frontier models create artifacts, and with ChatGPT product teams to turn those capabilities into experiences that millions of people can use. The work spans full-stack product engineering, model integration, rendering and editing systems, collaboration, storage, evaluation loops, and production reliability. Our ambition is to build the premier product experience for AI-generated artifacts: starting with familiar work products like slides, sheets, and docs, then expanding into new artifact types that are only possible in an AI-native world. About the Role As Engineering Manager, Artifacts, you will lead and grow the engineering team responsible for building this product and technical foundation. You will manage a team of full-stack and infrastructure-oriented engineers, set technical direction, and stay hands-on enough to shape architecture and debug hard problems. This role sits at the intersection of product engineering, research, and infrastructure. You will partner with researchers on how models are trained and evaluated for artifact creation, with product and design on the user experience. This is a strong fit for a technical manager who wants to build and ship, not only coordinate. The team has a fast trajectory, so you will help define both the product surface and the team that builds it. In this role, you will: Lead, manage, and grow a team building AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging artifact form
About the Team The Premium team owns some of the highest-leverage customer-facing levers in ChatGPT’s consumer revenue business, spanning the paid customer journey: helping users understand the value of paid plans, convert with confidence, and continue finding lasting value in their subscription. Our work is highly cross-functional, partnering with Product, Data Science, Design, FinEng, Finance, Legal, Support, and Marketing to improve free-to-paid conversion, renewal, customer lifetime value, and revenue while keeping the experience trustworthy, scalable, and low-friction. In This Role, You Will: Lead and scale an engineering team responsible for some of ChatGPT’s most important subscription and monetization experiences. Own the technical execution for Premium customer experiences across plan merchandising, paywalls, upgrade flows, checkout UX, plan management, renewals, downgrades, and cancellation. Partner with Product and Data Science to run high-quality experiments across upgrade, trial, renewal, downgrade, and cancellation flows. Improve key subscription metrics including conversion, renewal, churn, ARPU, and lifetime value. Build reliable customer-facing Premium experiences for purchase, plan management, renewal, downgrade, cancellation, and access-related states at scale. Partner closely with FinEng and other platform teams to evolve the billing, payments, and entitlement capabilities that power Premium experiences. Collaborate closely with Product, Design, Data Science, Finance, Legal, Support, and Marketing on monetization strategy and execution. You Might Thrive in This Role If You: Have 5+ years of engineering management experience, Have strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features. Have a track record of improving conversion, retention, or monetization through experimentation and data-driven product engineering. Are experienced with subscription products, plan merchandising
About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization—working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You’ll focus on identifying and engaging world‑class AI researchers and scientists who are advancing the frontier of machine learning and artificial intelligence. In this role, you will drive top‑of‑funnel sourcing efforts, build thoughtful outreach strategies, and cultivate long‑term relationships with highly specialized talent across academia and industry to support our Research teams’ hiring ambitions. You’ll work across a range of deeply technical and research‑oriented roles, mapping emerging fields, identifying leading contributors, and proactively engaging experts in their respective domains. You’ll partner closely with recruiters, hiring managers, and research leaders to surface exceptional candidates, generate strong pipelines for niche searches, and continuously refine sourcing strategies to help our research teams grow and scale. Your Responsibilities: Build highly targeted searches that deliver candidate profiles with precision. Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term. Develop and utilize creative strategies to discover non-traditional, research-adjacent, and/or up and coming talent. Partner closely with hiring managers across OpenAI to develop customized sourcing strategies and advise them on the market. Take a highly organized and data driven approach to candidate tracking and funnel metrics. Represen
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Incident Manager Snowflake’s Incident Management team is expanding. We’re looking for a Senior Incident Manager to help us deliver outstanding service to our customers in their most critical moments — when a major incident is impacting their business and they need a calm, decisive partner driving toward resolution. As a Senior Incident Manager, you thrive in a high-performing, fast-paced environment and bring a high degree of tact, patience, and composure under pressure. You are results-oriented, using data and metrics to make sound operational and tactical decisions while a major incident is unfolding. You lead with a positive outlook and a high degree of integrity, accountability, attention to detail, and strong planning and execution skills. A thorough understanding of how technical issues translate into customer and business impact is essential. This is a fixed overnight shift role: 3:00 PM – 11:00 PM Pacific Time. We’re looking for someone who is committed to working these hours long-term. In addition to the shift, you’ll participate in a weekend on-call rotation (currently about one weekend every few months, subject to change). There is no additional weekday off-hours on-call expectation. You Will Lead the response to critical, customer-impacting major incident
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is building the world's best AI data platform — and Interactive Analytics is one of our foundational bets in that vision. We aim to deliver the fastest analytical query engine in the world and make it delightfully easy to use, seamlessly integrated into the Snowflake data platform. Designed for high-concurrency, low-latency query workloads, Interactive Analytics powers the AI agents, BI dashboards, and real-time data applications that the world's most demanding data organizations depend on. As the Product Manager for Interactive Analytics, you will set the bar for what "fast" means for Snowflake and for the data analytics industry — and then you'll build it. This role sits at the intersection of deep database technology and high-stakes product strategy, in a market where the customers are vocal, competition is real, and the opportunity is enormous. AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL : Build and champion a product roadmap for a differentiated Interactive Analytics experience that wins customers and workloads in one of the most competitive segments of the data analytics industry Partner closely with customers to make them successful — understanding their workloads at a technical level, solving their hardest problems, and turning them into vocal advoc
Experience: 7-12 Years Location: Noida / Bangalore Joining: Immediate / Short Notice Preferred About the Role We are looking for a Senior Business Intelligence Analyst who can independently drive insights that influence business performance and product decisions. This role requires strong analytical depth, a clear business mindset, and the ability to understand customer behavior across the product lifecycle. You will work closely with Product, Business, Growth, and Leadership teams to convert data into actionable intelligence, going beyond dashboards to answer why things are happening and what should be done next. Key Responsibilities Own and drive business and product insights across acquisition, engagement, retention, and monetization. Partner with Product and Business teams to define, track, and evolve key metrics and north-star KPIs. Perform deep-dive analyses on customer behavior, funnels, cohorts, and feature usage to identify growth and efficiency levers. Build and maintain dashboards, MIS, and self-serve reports that serve as a reliable source of truth. Support experimentation and A/B testing by defining success metrics and analyzing outcomes. Proactively surface risks, anomalies, and opportunities using data-backed narratives. Collaborate with Data Engineering and Product teams to improve data quality, tracking, and analytical readiness. Translate complex analysis into clear, actionable insights for non-technical stakeholders. Required Skills & Experience 712 years of experience in Business Intelligence / Analytics, preferably in product-led or consumer internet / fintech organizations. Strong hands-on experience with SQL (mandatory); ability to work with large and complex datasets. Experience with BI tools such as Tableau, Power BI, Looker, or similar. Solid understanding of product metrics, funnels, cohorts, and lifecycle analytics. Proven ability to independently structure ambiguous problems and deliver end-to-end insights. Strong communication skills
Pre-sales Manager, Inference and Agentic AI - Paytm Location: Noida Company: Paytm About Paytm: Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Pre-Sales Manager | Paytm AI Key Responsibilities 🔹 Partner with Enterprise Sales teams to understand client requirements and map them to Paytm AI solutions. 🔹 Conduct discovery sessions, identify business challenges, and create solution recommendations. 🔹 Deliver customized product demos, solution walkthroughs, and Proof of Concepts (POCs) for enterprise clients. 🔹 Act as a technical advisor, addressing product, integration, architecture, and implementation-related queries. 🔹 Create solution documents, proposal inputs, RFP responses, technical FAQs, and sales enablement assets. 🔹 Collaborate with Product, Engineering, Onboarding, and Business teams to ensure seamless solution delivery. 🔹 Capture client feedback and provide insights to improve product capabilities and customer experience. 🔹 Support enterprise deal closures through strong solutioning, stakeholder management, and technical consulting. Ideal Candidate ✔ 3–6 years of experience in Pre-Sales, Solution Consulting, Solutions Engineering, Product Consulting, or Enterprise Technology roles. ✔ Strong understanding of APIs, integrations, SaaS platforms, enterprise applications, and solut
About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role This role will drive integrations between Paytm EDC and other billing POS providers, enabling seamless merchant experiences and improving adoption across key segments. Key Responsibilities * Own end-to-end integration lifecycle Work with product team to enable seamless EDC + billing interoperability. * Drive technical and business alignment between Paytm product and partner teams. * Identify high-impact POS platforms and prioritize integrations based on merchant demand and revenue potential. * Ensure smooth onboarding, testing, deployment, and post-integration support. * Act as the bridge between business, product, and engineering teams. Ideal Candidate Profile * 5–7 years of relevant experience in POS integrations, fintech, SaaS, or payments ecosystem. * Strong understanding of billing software / POS systems / APIs / integrations. * Ability to work closely with technical teams while driving business outcomes. * Experience in merchant-facing solutions or retail tech ecosystems is a plus. * Strong problem-solving and stakeholder management skills. * Based in Delhi (mandatory requirement). Why join us • A collaborative output driven program that brings cohesiveness across businesses through technology. • Improve the average revenue per use by increasing the cross-sell opportunities. •A solid 360 feedback from your peer teams on your support of their goals. • Respect, that is earned, not demanded from your peers and manager. Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 17 mn+ merchants and depth of data in our ecosyst
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 Opportunity: Okta Access Gateway (OAG) Enterprises run on a mix of modern cloud services and mission-critical on-premises systems (such as Oracle E-Business Suite, SAP, PeopleSoft, and custom legacy web apps). Okta Access Gateway (OAG) solves the enterprise hybrid cloud challenge by extending Okta’s cloud identity, Adaptive MFA, and Zero Trust security policies to on-premises and legacy applications without requiring custom code changes or traditional VPNs. As the Engineering Manager for Okta Access Gateway in Toronto, you will lead and grow a team of software engineers building the next generation of our hybrid access and gateway infrastructure. You will partner closely with Product Management, Architecture, Security, and Quality teams to deliver high-throughput, mission-critical security software deployed across multi-cloud and enterprise datacenters globally. What You’ll Do People Leadership & Team Growth Lead, mentor, and empower an engineering team, fostering an inclusive, high-performance, and psychologically safe engineering culture. Drive career progression, goal setting, regular 1:1s, and continuous feedback to help engineers grow their technical and leadership skills. Attract, interview, and hire diverse engineering talent to scale Okta’s engineering presence in Toronto. Delivery & Operational Excellence Own the end-to-end execution and delivery of key product roadmap initiatives, balancing feature velocity, technical debt, and softwar
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Our Core Data Engineering team is responsible for designing and building all foundational datasets used across Robinhood and within our operational business areas. We build the foundational data models and core data layers that are consumed by downstream users, ensuring high data quality and reliability. We also develop internal data and AI tooling that enables teams across the company to scale their data development workflows efficiently. Our team collaborates with engineering, product, brokerage, crypto, and marketing teams to expand and grow Robinhood's products around the world ! We also partner with Machine Learning teams to build robust training datasets that power intelligent product features. As the Engineering Manager for our Toronto Data Engineering team, you will lead a team of exceptional engineers and drive the execution of key data initiatives. In this role, you will balance technical leadership with people management, dedicating approximately 60% of your time coaching and 40% to hands-on technical contributions, such as code and architecture reviews. You will drive roadmap planning and establish clear goals for the team, particularly as we expand into new mark
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Advisor Experience team is a new engineering team within Addepar’s Core Product Engineering organization, focused on building the products and experiences that define how financial advisors and their clients interact on the Addepar platform. Initially this role will focus on our new Secure Message Center — a compliant messaging experience built into Addepar’s client portal — but the scope extends well beyond messaging. We’re building the connective tissue between advisors and the investors they serve, creating workflows that make every interaction more informed, more personal, and more seamless. As the Engineering Manager for this team, you’ll lead a small, growing group of engineers and shape both the technical direction and team culture from the early stages. You’ll partner closely with product management and design to translate an ambitious product vision into shipped software. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Lead, mentor, and grow a team of full-stack en
About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About Vercel Vercel's Frontend Cloud provides the developer experience and infrastructure to build, scale, and secure faster, more personalized web applications. Customers like Under Armour, Nintendo, The Washington Post, Porsche, and Zapier rely on Vercel to create dynamic, seamless user experiences on the web. Our mission is to empower the world to deliver the best digital products. That mission extends to building a supportive, innovative workplace where you can do the best work of your career. About the Role As an Engineering Manager on the Dashboard team, you will lead a team of engineers responsible for the primary interface developers use to build, deploy, and manage applications on Vercel. The Dashboard is where customers experience the platform every day, from onboarding new projects to managing deployments, observability, billing, security, AI, and team collaboration. You'll partner closely with Product, Design, Data, and other engineering teams to deliver intuitive, high-quality product experiences while helping shape the long-term architecture of one of Vercel's most important customer-facing surfaces. This role requires balancing technical leadership, product thinking, and strong people management to help the team ship quickly without compromising quality. What You Will Do Build and grow a high-performing team of engineers through hiring, coaching, mentorship, and thoughtful career development. Foster a culture of ownership, collaboration, and high engineering standards while creating an environment where engineers can do their best w
At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As part of Gilead’s enterprise AI strategy to accelerate insights and decision‑making, we are seeking an Sr Manager, Data/AI Solution Architect to lead the design of Data and AI solutions across the HR & LCCR Functions. In this role, you will partner closely with business stakeholders, and Data/AI Product Owners, Technical Delivery Leads and Platform Leads to determine the right solution architecture for predictive analytics and AI‑driven insights. You will drive technical excellence through architectural design, modeling approach, and platform selection—ensuring scalable solutions, aligned to Gilead standards, that translate complex digital needs into actionable insights.</
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