About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build pr
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Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by gl
Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by gl
About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The Enterprise Controls team owns the systems that allow companies to safely deploy Codex across their organization while protecting their most sensitive code, data, and internal knowledge. About the Role As Codex adoption grows inside large organizations, customers are increasingly trusting Codex with their most valuable assets: proprietary codebases, internal documentation, customer data, and sensitive workflows. This role will help build the enterprise control plane that makes Codex secure, governable, and trustworthy at scale. You will design and operate backend systems that give enterprise administrators visibility and control over how Codex is used across their organization. You will work across identity, access, encryption, policy enforcement, auditability, and admin controls. This may include systems that let customers manage encryption keys, control which Codex capabilities are enabled, enforce organizational policies, and understand how data flows through Codex. This role owns systems end-to-end: from architecture and
Every large organization has the same problem: too many projects, not enough visibility into who's actually available to do the work. Operations teams, PMOs, and professional services firms are making staffing decisions in spreadsheets, guessing at utilization, and finding out they're over-capacity after it's too late. Resource Management (RM) is Asana's answer to that problem — and we're at an inflection point in how we think about it. RM has strong foundations and proven enterprise demand, but it was built for a pre-agentic world. The next version of this product looks fundamentally different: AI Teammates that monitor utilization in real time, flag staffing risk before it hits delivery, recommend rebalancing across teams and projects, and automate the operational overhead that makes resource planning so painful today. We believe this capability is worth investing in seriously — not just as a feature within Asana's broader platform, but potentially as a standalone commercial offering for enterprise buyers whose primary need is resource visibility, not work management. As a Staff Product Manager leading this reinvention, you'll own the full RM product strategy — global capacity planning, skills-based staffing, time tracking, utilization reporting, and the agentic workflows that make all of it proactive rather than reactive. The strategic questions are genuinely open: what does RM look like as a reimagined agentic product, who is the right buyer, and how do we price and position it as a commercial offering in its own right? This role shapes those answers. This role is based in our New York 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 the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. W
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteri
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: NYC Metro About the role The Enterprise AI and Digital Natives segment is Cloudflare's fastest growing and highest visibility market. This segment is dedicated exclusively to the largest organizations in the modern tech economy including premier SaaS platforms, hyperscale digital marketplaces, and leading AI labs. This is a deep infrastructure, developer centric play where technical alignment and deep engineering partner
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: SF Bay Area About the role The Enterprise AI and Digital Natives segment is Cloudflare's fastest growing and highest visibility market. This segment is dedicated exclusively to the largest organizations in the modern tech economy including premier SaaS platforms, hyperscale digital marketplaces, and leading AI labs. This is a deep infrastructure, developer centric play where technical alignment and deep engineering partnerships are
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. PRODUCT AT BASETEN Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for what product looks like here. You earn trust by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. THE ROLE The largest, most demanding Enterprises are starting to run on Baseten and they come with a range of security, compliance, and procurement requirements. Today that readiness is assembled deal-by-deal. You'll own the enterprise-readiness surface end to end and turn it into product: the deployment options customers can choose and buy, compliance posture they can trust, access and security controls their IT teams require, and the billing and spend controls their finance teams expect. What does a complete Baseten Enterprise Product offering look like? RESPONSIBILITIES Drive the Enterprise Readiness customer experience end to end: Partner with GTM and Enterprise Engineering to make "enterprise-ready" a platform-wide capability, not a deal-by-deal scramble. Outcome: readiness becomes a supported, priced product instead of bespoke work asse
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's enterprise business is growing fast, and the systems that turn a closed deal into recognized revenue are scaling to keep up. Quote-to-cash spans configure-price-quote, contracting, order management, provisioning, billing, and revenue recognition, and the work to evolve it crosses engineering, GTM systems, finance, legal, and operations teams. We're looking for a Technical Program Manager to own the planning and execution rhythm across these teams, drive the highest-priority cross-team programs end to end, and give leadership a single coherent view of priorities, dependencies, and progress. Responsibilities Build and run the cross-team planning and operating cadence for quote-to-cash: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for engineering and finance leadership Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across engineering, GTM systems, deal desk, order management, accounting, and legal Own the SOX readiness program for quote-to-cash systems: gap closure, control design and evidence collection, and coordination with internal audit Manage technical dependencies across the stack: CPQ, contract data model, provisioning automation, billing platform, and the integrations between them You may be a good fit if you Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments Have technical depth in enterprise systems integration: CPQ, ERP, billing, and provisioning platforms, the dat
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 Enterprise Sales team engages with some of the largest and fastest-growing businesses in the world to take advantage of Stripe’s solutions. You'll lead and coach high-performing sales executives dispersed across the US, helping them deliver on ambitious targets, as well as roll up your sleeves to work directly with prospective Stripe customers. What you’ll do Responsibilities Recruit, mentor, develop, and lead a team of sales professionals while scaling our GTM presence across AMER. Train the team in up-leveling professional skills such as collaborative pipeline generation, consultative and solution-based selling, closing tactics, adoption of MEDDIIC, and serving as a trusted advisor to Stripe Users. Develop both the long-term vision and strategy for the team and manage day-to-day operations. Be accountable for operating net revenue and activation targets to grow Stripe’s revenue. Effectively work cross-functionally across the organization to shape Stripe’s solutions to meet client needs. Inspire, motivate and enable individual development to promote career growth of direct reports. Who you are We are looking for a self-starting leader who is a builder and has demonstrated a track record of target attainment and success dealing with ambiguity, operating in a high-growth environment, and solving complicated problems with limited oversight. Ideal candidates will have management and leadership experience scaling a technology sales team,
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. About the role As the Senior Manager, Commercial Strategy & Enterprise Offering – Unified Commerce , you will own Adyen’s end-to-end offering for global and domestic omnichannel enterprise customers such as H&M or Joe & the Juice. This role is global in scope and entails both the defining of the long-term vision and strategic direction in partnership with the product organisation, as well as the commercialization and go-to-market of the offering and underlying products. Sitting in the Global Commercial Strategy team - at the direct intersection of Product and Commercial - you will act as the strategic bridge advocating for our customers' online checkout, in-store, hardware, shopper experience and loyalty needs across multiple industries. Your primary goal is to drive net revenue growth for your segment through strategic expansion, differentiation, and deep product adoption. What you will do 1. Offering Differentiation & Commercialization Strategic Packaging & Narrative: Define the long- and short-term commercial value proposition ("what we sell, to whom, and why"). Package, bundle, and scale Adyen's Enterprise Offering across verticals and regions. Future-Proofing & Readiness: Anticipate market and regulatory shifts to evolve your offering, ensuring all products meet strict readiness levels and customer expec
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise Knowledge Work team builds the products that help enterprise knowledge workers collaborate deeply with Claude for major parts of their work. Over the past year, AI has transformed how software engineering happens; for the rest of knowledge work, though, using AI still mostly means answering questions and producing first drafts — a small slice of the actual job. We're building toward something bigger: people and agents working together on every core work objective, from first idea to finished product, and the recurring work of a team running with Claude in the loop instead of a person pushing every step. It's an enormous space, it's early, and no one has built it well yet. You'll help decide what these products are, not just how they're built — the product questions are as open as the architecture ones — and you'll see your work land with real teams at the world's largest enterprises. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the te
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Platform Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, the systems you design—identity, permissions, governance, connectivity, and the data foundations beneath them—are what make it possible. This is a high-agency role: you'll design the abstractions other teams want to adopt, help the team evaluate hard tradeoffs, and be the engineer in the room who can interface with executives and security teams from the world's largest companies. What you'll do Define and drive multi-year technical strategy for foundational enterprise systems, including our distributability and multi-cloud direction Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams Serve as a primary technical decision-maker for major architectural decisions with org-wide scope Design the platform primitives—identity, permissions, governance, connectivity, and usage data—that other product teams build on Partner with teams such as Inference and Platform on foundational systems, Customer Success for the voice of the customer, and Infrastructure and Safeguards on security, privacy, and responsible deployment Mentor and develop senior engineers acros
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As the Engineering Manager for Enterprise Security, you will be hands-on with the design, implementation, and strategy of the systems protecting Roblox's corporate infrastructure: endpoint security, network security, and supply chain security. You will build and lead the team that writes and runs this software, and partner across the company to help Roblox balance innovation with security risk management. You will be part of the Enterprise Security team, reporting to the Senior Manager of Enterprise Security and IAM, and will work closely with security leaders across InfoSec and cross-functionally with Corporate Engineering, DevOps, IT, and Product teams. This role is based in San Mateo with a hybrid schedule. You will: Lead and grow the team: Hire, coach, and develop a team of security software engineers. Own performance, career growth, and the technical culture of the team. Own the Enterprise Security roadmap: Define and drive strategy across the team's domains, balancing near-term risk reduction with durable platform investment. Security for AI, and AI for security: Set direction for how AI is deployed safely at Roblox: agent sandboxing, tool and MCP server access, scoped and short-lived
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