Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. About the Role: Toast IQ is our agentic platform for local business: a growing set of specialized AI agents and capabilities designed to take real work off an operator’s plate, from driving demand and managing labor to optimizing the back office. As we expand this portfolio across multiple lines of business, we need to ensure that what we build comes together as a coherent platform, reaches the market effectively, and produces meaningful customer and business impact. The AI Operations Lead will help build and run the operating system that connects AI strategy to execution and market impact. You will help shape how our AI portfolio comes together, is launched, and adopted, building the operating engine that brings this experience to life, and turning customer, market, and technology signals into better product and commercial decisions. This is a highly cross-functional, hands-on leadership role. You will work directly with the VP of Product for Toast IQ, partnering across product, design, engineering, marketing, sales, and support to bring the vision of Toast IQ to life. Success will require strong judgment, exceptional communication, and the ability to personally drive ambiguous work to completion. A day in the life (Responsibilities) Create visibility across Toast’s broader AI efforts and run portfolio ops. Connect work happening across the agent portfolio and other AI initiatives. Share learnings, identify opportunities to reuse capabilities, and surface key decisions. Maintain visibility into ownership, sequencing, dependencies, key decisions, risks, progress, and enablement. Build Toast’s AI presence. Partner with product, design, engineering, and marketing to make Toast’s AI products, technical insights, customer outcomes, and talent more visible through launches, c
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About the Team OpenAI’s Cyber team works to make frontier AI a decisive advantage for defenders. The Cyber Blue Team is an operator-led group focused on turning real defensive problems into better models, useful products, safe Codex workflows, and integrations with the security tools defenders already use. Our ambition is simple: Raise attacker cost. Lower defender toil. Prove it by defending OpenAI; scale it through the ecosystem. We are not setting out to build another SIEM or autonomous SOC. We want to build the AI reasoning and workflow layer that helps security teams investigate threats, create and validate detections, improve their controls, and respond with greater speed and confidence. About the Role We are looking for a Product Manager to help build a new generation of AI-powered cyber defense products. You will work closely with security practitioners, researchers, engineers, designers, internal security teams, customers, and technology partners to turn emerging model capabilities into products that solve meaningful defensive problems. This is an early-stage product role. The work will span product discovery, prototyping, evaluation, development, launch, and iteration. You will help the team identify where AI can create the most value for defenders and translate those opportunities into clear, usable, and trustworthy product experiences. Initial areas of focus may include: Detection engineering and detection-content development Threat hunting and investigation Security validation and control testing AI-agent and MCP runtime defense Integrations with security platforms and enterprise workflows Safe, governed assistance for incident response The specific roadmap will continue to evolve based on model progress, practitioner needs, internal learnings, and customer feedback. In This Role, You Will Work with security practitioners to understand high-value defensive workflows, recurring pain points, and opportunities for AI to materially improve outcomes. Help sh
About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role AlphaSense is maturing its security risk management program and needs a Senior Risk Analyst to be a core builder and operator of that function. You will design, implement, and mature a risk framework that spans information security, AI, and operational risk—building toward a program that is quantitative-leaning, connected to live data sources, and actionable at every altitude from service owner to executive leadership. You will establish risk identification and scoring methodologies, own the enterprise risk register, and produce risk intelligence that drives real decisions. You will also support the TPRM function led by a dedicated TPRM lead, contributing to assessments and risk tracking as needed. You approach this with an AI-native mindset: using AI to monitor threat landscapes, analyze risk data, draft risk narratives, and surface emerg
Base Location: Noida (Extensive Pan-India Travel Required) Role Overview We are looking for a high-ownership, execution-first General Manager to drive cross-sell initiatives by working closely with offline business teams and partners across locations. This role is critical in bridging central product and business teams with on-ground leaders, ensuring rapid execution, structured feedback loops, and strong MIS-driven decision making. The role demands significant travel, deep coordination with senior field leaders, and the ability to operate with an entrepreneurial mindset in ambiguous, fast-moving environments. Key Responsibilities ● Act as the single-point owner for driving cross-sell initiatives through offline teams across regions ● Travel extensively across cities to work with regional and city heads, align on targets, incentives, and execution plans, and resolve on-ground bottlenecks in real time ● Ensure consistent execution of cross-sell programs across all locations ● Drive adoption of new products through offline channels and identify high-potential locations and teams for scaling ● Build and refine cross-sell playbooks in collaboration with central teams based on field learnings ● Act as the voice of the field by gathering structured feedback from frontline teams and leaders ● Translate qualitative on-ground feedback into clear, actionable inputs for product, operations, and leadership teams ● Build and own robust Excel-based MIS dashboards covering cross-sell performance, location-wise metrics, leader-wise performance, and funnel conversion ● Ensure data accuracy, reporting discipline, and timely business reviews ● Use MIS and insights to drive accountability and course correction ● Work closely with senior offline leaders, product, operations, and analytics teams ● Influence without authority and drive alignment across multiple stakeholders Candidate Profile Experience ● 8–14 years of overall experience (flexible for exceptional candidates) ● Strong ex
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 SaaS Platform Partnerships team is part of our Go-to-Market organization, and supports new and existing SaaS Platforms in developing and growing their embedded payments and finance businesses. We work closely with platforms as a channel partner to incubate growth tactics and scale them into benefits of our program, Stripe Partner Ecosystem. PDMs act as the R&D arm of this program — testing new growth approaches with a small number of platforms, measuring what works, and then codifying those tactics into structured resources that Stripe's broader account team can deliver at scale. In parallel, we work with product teams to embed the learnings directly into Stripe’s products. We are seen as trusted advisors and experts in SaaS Platforms. What you’ll do This role will be an early EMEA hire for the SaaS Platform Partnerships team, working closely with the GTM team. There are three key components of this role: (1) providing strategic advisory to strategic platforms, (2) developing and validating EMEA-specific growth tactics, and (3) scaling successful tactics into structured benefits available across the broader Stripe Partner Ecosystem and to SaaS Platforms on Stripe. You will be an expert
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
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. OMT Metro Application M1 Job Description Summary OMT Metro Applications M1 leads the team to drive yield improvement and metrology tool path expansion to support scaling needs and improve process window margin through advanced application development, cross-fab standardization, and team capability build-up. This is an outstanding opportunity to be part of a world-class engineering team that is dedicated to pushing the boundaries of technology and innovation. Responsibilities Drive metrology application strategy to improve yield, detection capability, and cost efficiency Develop and optimize metrology recipes and methodologies to improve sensitivity, accuracy, and robustness Enable shift-left defect detection and accelerate yield learning Align with suppliers on technology roadmaps, capability gaps, and new solution development Establish and standardize BKMs and guidelines across fabs Lead cross-functional execution to close technical gaps and deliver key initiatives Build and develop team capability, including a clear ownership structure and strong technical depth Requirements GJS: E3 with two years of expe
Incident Manager US Remote CSQ127R151 At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle 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. As an Incident Manager, you will lead Databricks’ most critical production incidents while providing clear, accurate, and timely communication to customers, executives, and engineers. You’ll serve as both incident commander and reliability engineer; orchestrating multi-team responses, driving real-time status updates, and partnering with engineering to analyze and prevent failures. Your work will ensure Databricks maintains not only technical resilience but also customer and stakeholder confidence during high-impact events. This role combines operational leadership, technical systems knowledge, and exceptional communication skills. You will be at the intersection of engineering depth and operational clarity, ensuring that every major incident is managed with precision, transparency, and continuous improvement. The impact you will have here: Lead critical incidents — coordinate multi-disciplinary response efforts across Databricks’ cloud-based services to rapidly mitigate impact and restore operations. Drive technical root cause analysis and reliability improvements: collaborate with engineering teams to trace and document underlying causes across distributed systems, services, and data stores. Summarize key learnings, clearly communicate action items, and ensure
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role We’re hiring the first Technical Support Engineering leader in APAC to lead a team of Technical Support Engineers and deliver exceptional support experiences to Cursor users. In this role, you’ll guide the team in engaging directly with users, solving complex technical challenges, and leveraging learnings to build internal automations and optimize support processes. You’ll be at the forefront of ensuring users successfully leverage Cursor, shaping how AI-enhanced developer support operates at scale, and building the systems that make support world-class. Ideal candidates are former support engineers with proven leadership experience, thrive in fast-paced startup environments, are passionate about developer tools, and proactively enhance processes and automation while growing the people around them. What you’ll do Lead, mentor, and grow a team of Technical Support Engineers through coaching, feedback, and career development. Serve as the escalation point for complex or urgent customer issues, collaborating with engineering to drive resolution. Set and monitor team goals, metrics, and processes to ensure consistent, high-quality support. Partner with Product and Eng
About the role AI and coding agents have made building enterprise apps nearly effortless and exposed a massive gap in the infrastructure to run them. Sigma is emerging as the AI Runtime Environment that makes enterprise AI actually work, and this role will tell that story to the market, why it matters, and help define and create this new category. As Director of Product Marketing for AI, you will own the positioning and go-to-market strategy for Sigma's overall AI narrative and its specific capabilities, including: natural language exploration, agentic workflows, and AI-powered application building (both internal and using external coding agents). This is a high-visibility, high-impact role that sits at the intersection of product, sales, and the market. You'll translate a rapidly evolving AI roadmap into sharp, differentiated messaging that resonates with data teams, business leaders, and the enterprise IT buyers who evaluate and approve AI investments. You will be a key voice in helping Sigma win the category. What you'll do Define and own Sigma's AI product positioning and messaging from core value propositions to competitive differentiation and persona-specific narratives. Partner with Product and Engineering to understand and influence Sigma's AI capabilities and roadmap. Lead product launches for AI features and capabilities, coordinating across marketing, sales, customer success, and partnerships. Partner with sales leadership and frontline reps to understand AI deal dynamics, competitive objections, and messaging gaps and incorporate learnings into improved positioning, content, and enablement. Partner with the Enablement team, build and maintain sales enablement materials pitch decks, battlecards, demos, objection-handling guides that help the field win competitive AI deals. Develop thought leadership content and market education programs that shape how the industry thinks about building with AI on enterprise data. Conduct ongoing
Opportunity Overview: We’re looking for a Manager, Platform Engineering that can lead and grow a high-performing engineering team focused on Developer Experience, DevOps, SRE, and Quality. You will own the systems and processes that enable teams to build, test, release, and operate software with high velocity and reliability, driving engineering efficiency and operational excellence across the organization. What you’ll do: Lead a fast-paced, autonomous team of engineers focused on platform engineering, developer experience, DevOps, SRE, and quality engineering Own and drive the internal developer platform strategy and roadmap, improving how engineering teams build, test, deploy, and operate services Create transparency into engineering efficiency and system health through meaningful metrics across delivery, reliability, and quality Enable teams to move faster by improving CI CD pipelines, environments, tooling, and overall developer workflows Provide technical leadership across platform, infrastructure, and reliability, helping teams build scalable and resilient systems Ensure strong engineering practices across release processes, testing, quality, reliability, and security Define and enforce release guardrails, validation standards, and rollback mechanisms to improve production safety Improve environment stability and consistency across development, QA, and pre production environments Drive test strategy and automation maturity to improve overall product quality and confidence in releases Define and implement observability, monitoring, and alerting standards across systems Improve incident detection, response, and RCA practices, ensuring learnings translate into platform and system improvements Drive cloud infrastructure best practices across AWS, containers, and infrastructure as code Foster a culture of ownership, reliability, and continuous improvement within the team Provide innovative solutions for attracting, developing, and retaining top engineering talent I
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Financial Intelligence team, part of Ramp's Applied AI org, powers the agentic analysis, FP&A, and book-close experiences that over 70,000 businesses rely on to run their finances. We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of. This is a frontend-leaning role for an engineer who obsesses over interaction design and data-dense UX, but is just as comfortable designing the API that feeds it. You'll own the surfaces customers actually touch: agentic financial analysis, month-end close, and exploratory data experiences that feel as polished as the best business intelligence tools. If you want your frontend work to sit at the center of real production LLM systems rather than being bolted on at the end, this is the role. What You’ll Do Design and ship customer-facing AI experiences end to end, from React UI through to the APIs and data contracts behind them Build BI-tool-quality interfaces for agentic analysis, FP&A, and book-close workflows:
Responsibilities Lead publishing execution across pre-launch, launch, and live service phases, ensuring alignment with product goals, player needs, and North American market expectations. Act as a technically fluent publishing producer who can identify, prioritize, and drive resolution of production, service, and Live Ops issues in close partnership with development, platform, QA, and operations teams. Oversee Live Ops at both strategic and operational levels, with a focus on service stability, rapid incident response, issue escalation, content readiness, and continuous optimization of retention, monetization, and engagement. Translate business, player, and operational needs into clear production requirements, helping technical and cross-functional teams make timely decisions during live service situations. Own production schedules, milestone tracking, issue follow-up, and cross-functional coordination to ensure timely and scope-accurate delivery across publishing initiatives. Identify risks early across development, publishing, and live operations, and implement practical mitigation plans to reduce player impact and business disruption. Drive major updates, events, hotfixes, and lifecycle initiatives, ensuring seamless execution and alignment with global content roadmaps. Improve publishing and Live Ops workflows by establishing scalable processes, reporting structures, escalation paths, and communication frameworks for fast-moving service environments. Partner closely with data, marketing, platform, QA, community, and development teams to ensure cohesive execution and high-quality player experiences. Present KPI trends, incident learnings, production risks, and actionable recommendations to leadership in a clear and practical manner. Manage external partners or development studios as needed, ensuring alignment with product goals, service standards, and delivery expectations. Represent NC America’s publishing, Live Ops, and technical service needs within global pla
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As Sr. Client Account Manager in our DACH Enterprise Sales Team, you will be in charge of driving a book of business with one of our key partners on our Retail Team. You’ll work directly with our key advertisers as a trusted consultant to their business. Your strategic advice, sales skills & coaching are core to bringing to life the value we deliver as a platform. If this sounds like fun, we’d love to hear from you! What you’ll do: Build and nurture relationships with our Partners independently, proactively reaching out to partners regarding campaign performance, optimisations, updates, and opportunities. Shares learnings from own book of business to support other team members. Ensure that our partners objectives and requirements are met by liaising between them and our internal teams (Measurement & Insights, Performance Solutions
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Location: Europe remote or London hybrid About the role: As our engineering and research organisation grows, so does the complexity of securing it. Our Application Security team is at the forefront of that challenge — building AI-native security tooling, embedding security into the development lifecycle at scale, and finding ways to make a small, highly capable team punch well above its weight. We're looking for an Engineering Manager to lead and grow the AppSec team. This is not a coordination role. You'll be leading a team of exceptionally senior and staff-level engineers who are deeply self-directed and technically excellent. To earn their trust and enable their best work, you'll need to be genuinely close to the craft — able to engage at depth on threat modelling, agentic security tooling, SDLC design, and application risk. You'll also own AppSec strategy and be accountable for how the function scales alongside a product organisation that is growing fast and leaning heavily into AI-assisted development. Important note: Anyone working as a manager within the Infosec team will need to follow the Infosec Team Management Tenets . Key Responsibilities: Lead, support, enable and grow the AppSec team — owning hirin
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