System Engineer Cloudflare Hyperdrive Salary India in United States

At Squarespace, Customer Operations empowers users to give voice to their ideas and make it easy for them when they need help. Our team runs 24/7 with approximately 450 people between New York, Dublin, and a remote workforce. Customer Support Associates are on the front line working with our customers every single day to ensure that issues with their account are resolved in a timely manner. You will leverage your system knowledge and commitment to delivering an exceptional customer experience to not only solve problems for our users, but be a positive advocate of our brand. This remote role reports to a Customer Support Team Lead. Your first two weeks at Squarespace will include mandatory virtual training from September 28th - October 9th. To be eligible for this role you will need to live in one of the following states: Delaware, Florida, Georgia, Kansas, Michigan, Missouri, Ohio, Oregon, Tennessee, or Utah. Applicants must have a dedicated home office setup with a reliable and stable Wi-Fi connection. Please note that we do not support digital nomad lifestyles or international work arrangements. You'll Get To… Respond to customer live chats and emails in a timely manner - live chat is our primary channel, with queue-based work making up around 90% of the role Troubleshoot and guide customers through questions and issues with their Account, Billing, Domain, or other transactional inquiries Independently meet targets across Quality, Productivity and Customer Satisfaction, in email and live chat Stay up to date on new product features and improvements Identify isolated customer experiences and escalate important issues Who We're Looking For Open availability to work a 40 hour work week that spans weekends and holidays as our customers need us 1+ years customer-facing experience required in a similar role (retail, hospitality, online support) Expertise with written communication and the ability to spot spelling and grammar errors Proficiency with decoding conver

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? Are you ready to lead the charge in AI-driven customer service? As a Relationship Manager, you will be a key member of the team leading the growth & expansion of our business in Latin America. We’re building a world-class sales organization, and the road ahead is going to be very exciting. In this role, you'll be a key player in driving Intercom's growth and managing existing relationships within the LATAM region. You will possess both nurturing and hunter mindsets, proactively managing and owning LATAM's book of business to ensure client satisfaction and uncover expansion opportunities. What will I be doing? Develop and maintain strong relationships with existing clients, identifying opportunities for upselling and cross-selling Intercom's solutions. Provide timely and accurate forecasts and clear visibility on revenue performance Maintain up-to-date knowledge of our evolving products and processes Create your own demonstrations, tailored to client

Datadog's brand is entering a new chapter—one that needs a designer with the taste and craft to set the bar for what it looks and feels like. We're looking for a Lead Designer to support that evolution: someone who can take a brief, create visionary concepts, pitch them with conviction, and then build the system that lets the team anchor and scale the direction. This role shapes how our brand shows up everywhere it counts and enables brand scalability across every customer touchpoint, from campaigns and events to digital experiences. This is a hands-on craft role first. You'll bring deep expertise in design, brand identity, visual language, and systems thinking, paired with strategic thinking, business-problem-solving approach. You're as comfortable concepting a bold campaign idea as you are building the design system that makes it repeatable. You move with ease across mediums and you bring a team-oriented, can-do attitude to whatever the work requires. You bring hands-on experience using AI-assisted workflows to elevate how we design, build, and scale our brand. You'll combine exceptional brand craft with a passion for building enduring systems, enabling teams across the organization to create with confidence through thoughtful tools, documentation, and design leadership. 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: Lead the evolution of Datadog’s visual identity and establish the quality bar for brand expression across every touchpoint. Build the brand systems, templates, asset libraries, and guidelines that allow teams across Datadog to create high-quality work quickly. Design, build, and steward a scalable, Figma-native brand system—including component libraries, variables, documentation, and governance—that enables consistency across a grow

The Dashboards product is Datadog's unified single-pane-of-glass for metrics, logs, and traces—a comprehensive treasure trove of observability data. We are transforming Dashboards into an AI-native control surface and the central hub where every team moves seamlessly from question to insight to action – providing a guided experience that feels like having an expert SRE at your side and ensuring the entry point is never an empty canvas. We're hiring a Staff Applied Scientist to define and guarantee the quality of this AI system at scale. "Good" isn't one number — it spans answer quality, tool-selection accuracy (critical given the growing catalog of data sources and visualizations), retrieval relevance, latency, token cost, and end-to-end agent success. The space is full of open questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when a user’s query can result in the agent making decisions against dozens of visualizations and data sources – both of which are growing month over month? How do you build a measurement system that catches regressions across all widget types and data sources (e.g., enforcing correct grouping, sorting, and time overrides), and is easy to use and extend by dozens of teams? If those are the problems you want to spend your time on, come build this with us. 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: Own the evaluation strategy for Dashboards, as well as sister teams within our organization. Define the metrics — offline and online, quality and cost, single-turn and multi-turn — that the team and the broader organization optimize against. Build the eval datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, an

The Recruiting team is responsible for growing our teams at Datadog with great people in multiple technical and business areas. Our Recruiters are strategic business partners, matchmakers, sellers, and marketers that have strategic relationships with the leadership team. As a Recruiting Coordinator, you have a high-impact role with significant visibility and the opportunity to make a real difference in Datadog's future. 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: Organize all facets of a candidate’s interview process: scheduling interviews (on-site and remote), managing communication workflow, coordinating travel/reimbursement, sending offer letters Manage job opening and job posts in our Applicant Tracking System, ensuring all information externally publicized is accurate and compliant Provide exceptional experiences for all candidates, greeting and providing office tours for those who come onsite Support the training of new interviewers to scale interview panels Partner with internal and cross-functional team members to improve processes Develop stakeholder relationships with recruiters, people business partners, people coordinators, and hiring managers, maintaining effective and proactive communication Support the onboarding of new team members, deliver informative sessions, provide ongoing support while upholding the high standards of excellence Based on your bandwidth and contributions, you may have the opportunity to take on additional projects that further develop your skills and impact Who You Are: “Can-do” attitude: You are ready to take on any challenges that come your way and eager to do your best to give each candidate a top-notch experience Effective over-communicator: You are proactive in sharing updates and information with all

The Opportunity Our PRM (Partner Relationship Management) platform is the operating system for MongoDB's entire partner ecosystem — the system partners and internal teams rely on for onboarding, deal registration, enablement content, incentives, and reporting. We're looking for a Director, Business Product Manager to own the business vision and requirements for this platform: the strategic counterpart to the engineering/IT team that builds it. This is a business-side role — you won't be writing code — but you need to understand PRM deeply enough to translate partner and internal stakeholder needs into a clear product vision, a prioritized roadmap, and requirements engineering can build against. You'll report to the VP of Partner Strategic Operations and work as the connective tissue between the partner organization (Sales Plays & Offerings, Programs, Enablement, Digital Process & AI Operations) and the engineering/IT teams who build and maintain the platform. We are looking to speak to candidates who are based anywhere in the US for our hybrid working model. What You'll Do Own the vision and strategy Define and own the long-term business vision and strategy for the PRM platform, anchored in the needs of partners and internal partner-organization stakeholders. Build and maintain a prioritized product roadmap that balances competing demands from Sales Plays & Offerings, Programs, Enablement, Digital Process & AI Operations, and field/partner-facing teams. Stay current on PRM market direction (Salesforce PRM, Impartner, Workspan, Zift, Crossbeam, and emerging AI-native entrants) to inform build-vs-buy and platform ev

About the Team OpenAI’s Sourcing and Procurement organization helps the company acquire and scale the products, services, and partnerships needed to advance its mission. As the organization grows, we are looking for a strategic builder-operator to establish an AI-led contracting capability that improves speed, consistency, and execution across the company. In this role, you will partner with leaders and stakeholders across Procurement, Legal, Finance, Security, Engineering, and business teams to design and oversee the contracting process from intake through negotiation and lifecycle management. You will bring structure to ambiguity, align partners around shared priorities, and build repeatable operating mechanisms, responsible AI-assisted workflows, and a centralized contract lifecycle management (CLM) system of record that enable sourcing coordinators to execute agreements consistently and help the business scale. About the Role As a Contract Management Lead, you will build, lead, and continuously improve OpenAI’s AI-led contracting help desk—a new capability designed to scale contract drafting, review, negotiation, and lifecycle management without significantly increasing headcount. You will own the service strategy, operating model, delivery oversight, coordinator enablement, workflow design, and performance tracking. Sourcing coordinators will manage day-to-day negotiations and agreement execution; you will ensure they have the tools, playbooks, training, guidance, and escalation support required to deliver timely, consistent, and well-governed outcomes. This is a builder-operator and service-ownership role for someone who combines strong commercial contracting and legal-language fluency with a product-management mentality. You will be hands-on in building the systems, playbooks, AI-enabled workflows, and reporting that support the contracting desk—not in personally negotiating every agreement. You will use a contract lifecycle management (CLM) platform as the c

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Manage key risk areas and corresponding stakeholders. Keep track of a stack of existing and future mitigations for every major product and model deployment. Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. Manage pre-launch safety reviews. Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. Help with publishing and open sourcing safety

About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. About the Role We’re looking for a Senior ABM Strategist to build and lead the operating model for OpenAI’s highest-priority enterprise accounts. You’ll translate commercial priorities into focused 1:1 and 1 account programs, align Marketing and Sales around shared account plans, and orchestrate buying-group engagement across channels. This is a hands-on builder role for someone who can define the strategy, establish the system, and work directly with cross-functional partners to move strategic accounts toward qualified pipeline and revenue. In this role, you will: Own the enterprise ABM strategy, including account selection, tiering, objectives, program architecture, investment decisions, and performance recommendations. Partner with Sales, SDR, and RevOps to build shared account plans, map buying groups, identify whitespace, define engagement plays, and establish clear follow-up ownership. Design and execute 1:1 and 1 programs across content, paid media, executive engagement, events and webinars, web experiences, outbound coordination, and other relevant channels. Use intent, product, firmographic, engagement, and seller signals to determine when and how to activate priority accounts. Translate account and buyer insights into personalization strategies, offers, messaging, and conte

About the Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership—along with Marketing Science and product and sales teams—to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers. What You'll Do Demand Health & Measurement Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system. Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities. Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership. Advertiser Performance & Benchmarks Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts. Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons. Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential. Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts. Insights, Adoption & Advertiser Feedback Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser-fac

About the Team OpenAI's Professional Services team helps organizations move from AI ambition to durable production outcomes. We partner with customers on complex deployments and build the strategy, commercial models, operating mechanisms, and delivery capacity needed to realize value from OpenAI's models and products. The team works across Go-to-Market, Forward Deployed Engineering, Technical Success, Finance, Product, Legal, Data, Systems, and delivery partners. We are building a services motion that is customer-centered, commercially rigorous, operationally scalable, and deliberately connected to product adoption. About the Role We are seeking a senior GTM Strategy & Operations professional to build and scale the operating system for OpenAI's Professional Services business. This is a foundational, hands-on individual contributor role at the intersection of business strategy, finance, go-to-market, and delivery. You will turn ambiguous questions—what we offer, how we price and package it, how we plan capacity, and how we measure performance—into clear decisions and repeatable mechanisms. You will own business planning, pricing and packaging, forecasting and modeling, management reporting, and cross-functional strategic initiatives. You will build integrated views of demand, staffing, revenue, margin, and delivery performance; replace one-off analyses with durable processes; and create operating cadences that help leaders act early. You will be a trusted partner to Professional Services, GTM, FDE, Technical Success, Finance, Product, Legal, Revenue Operations, and Data leaders. The right person combines direct Professional Services judgment with rigorous analytics, executive communication, and the willingness to build the model, process, or dashboard themselves. You’ll be responsible for: Define and drive the business and GTM strategy for Professional Services, including target customer needs, offer portfolio, positioning, pricing and packaging, partner motions,

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After joining OpenAI, the team began its next chapter: bringing deep product expertise, customer intuition, and mature platform infrastructure into the product development system used by every OpenAI team. Today, teams across ChatGPT, Codex, model measurement, consumer monetization, business subscriptions, developer products, and shared infrastructure rely on Statsig to safely introduce new capabilities, measure impact, and roll changes forward or back with confidence. We are at a defining moment as adoption accelerates and the platform becomes a company-wide standard. About the Role We are looking for an Engineering Manager, Statsig Product to lead the product engineering organization responsible for Statsig’s post-acquisition journey at OpenAI. You will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every OpenAI product team ships. You will set strategy across multiple product and platform workstreams, build the organization and leadership structure needed for the next phase, and establish the operating model for a platform that serves teams across the company. The right leader can operate across product strategy, technical architecture, organizational design, developer experience, reliability, and executive alignment. You will help preserve what made Statsig strong while integrating it deeply into how OpenAI launches, measures, learns, and makes product decisions. In this role, you will: Build, lead,

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Customer Education plays an important role in that mission by helping people and organizations use increasingly capable AI systems effectively, responsibly, and with confidence. We create learning experiences, programs, and resources that help customers move from initial understanding to sustained use and measurable impact. As our products, audiences, and programs grow, we need an operating foundation that keeps the content portfolio trusted, clarifies complex work, and helps the team deliver at a consistently high standard. This role offers the opportunity to build the operational foundation behind education programs that shape how enterprises adopt frontier AI. About the Role We are looking for a strategic operator to own the operating system behind Customer Education. You will work at the center of content, systems, and team execution: owning the health of our education content portfolio, running the team’s operating rhythm, and translating evolving business needs into scalable workflows and system requirements. The right person will raise the quality of execution across Customer Education. You will bring order, judgment, and follow-through to a fast-moving environment, making the function easier to run, easier to trust, and easier to scale. In this role, you will: Own the health and integrity of the Customer Education content portfolio, including lifecycle, governance, discoverability, reuse, and meaningful gaps. Ensure customer-facing teams can confidently find and use the right education resources at the right time. Run the team’s operating rhythm across priorities, ownership, timelines, dependencies, decisions, launch readiness, and follow-through. Turn ambiguous cross-functional initiatives into clear plans, workflows, responsibilities, and decision points. Design scalable processes and handoffs for how education programs are created, launched, maintai

About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society, and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Oversight Research team aims to fundamentally advance our capabilities to maintain oversight over frontier AI models, and leverage these advances to ensure OpenAI’s deployed models are safe and beneficial. This requires a breadth of new ML research in the areas of human-AI collaboration, reasoning, robustness, and scalable oversight to keep pace with model capabilities. We invest heavily in developing novel model and system-level methods of identifying and mitigating AI misuse and misalignment. Our goal is to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with a passion for AI safety and experience in safety research. Your role will set directions for research to maintain effective oversight of safe AGI and work on research projects to identify and mitigate misuse and misalignment in our AI systems. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Develop and refine AI monitor models to detect and mitigate known and emerging patterns of misuse and misalignment. Set research directions and strategies to make our AI systems safer, more aligned, and more robust. Evaluate and design effective red-teaming pipelines to examine the end-to-end robustness of our safety systems, and identify areas for future improvement. Conduct research to improve models’ ability to reason about questions of human values, and apply these improved models to practical safety challen

About the Team Safety Systems works to ensure OpenAI’s most capable models can be developed and deployed responsibly. Our work spans evaluations, safeguards, red teaming, deployment decisions, and the systems that help OpenAI understand and reduce risk as models become more capable and widely used. Within Safety Systems, the Trustworthy AI team is growing its safety transparency function: a practice focused on helping external audiences understand OpenAI’s technical safety work with greater clarity, rigor, and continuity. We create and improve the public artifacts that explain how our systems are evaluated for safety, what safeguards we build, what decisions we make, and where uncertainty remains. This work includes system cards, the Deployment Safety Hub, safety-related blogs, public governance documents, and other outputs that communicate technical safety topics to external audiences. It also includes building new ways to make technical safety information easier to understand, navigate, and use—including AI-assisted workflows, data visualizations, and interactive tools that make complex technical work more legible over time. About the Role We are looking for a Safety Transparency Editor to own the editorial quality of key safety transparency artifacts and systems. This is a hands-on role for someone who can write crystal-clear, pitch-perfect explanations of the hardest and highest-stakes technical safety topics that OpenAI tackles, and who can lean into AI to build systems that help the broader organization do this work better. Your core responsibility is to shape and execute how our technical safety work is externally communicated: identifying the narrative thread, exercising judgment about which details matter, determining where additional context, explanation, or supporting evidence is needed, translating complexity without sacrificing precision, and helping external audiences understand both the safety measures we’ve taken and the uncertainties that remain. To