About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a People Business Partner to join our People Team and help support our remote GTM organizations as the company continues to scale in size, complexity, and commercial maturity. You’ll work closely with GTM leaders and teams, helping us bring a thoughtful people lens to how teams scale, how leaders lead, and how we maintain a high-trust, high-accountability culture in a fast-moving remote environment. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For In this role, you’ll: Partner with functional and executive leadership to navigate org design, performance, and day to day people decisions. Coach managers and leaders to improve support, consistency, and judgment across their teams. Maintain and champion a high-trust, high-accountability culture within a globally distributed environment. Scale people practices and programs thoughtfully without overbuilding unnecessary or heavy handed processes. Collaborate cross functionally with Recruiting, People Ops, Legal, and Finance to ensure alignment on GTM and Engineering organization initiatives. Manage employee relations and team health proactively to ensure the GTM and Engineering organizations remain healthy, effective, and world-class. You Might Be a Good Fit If You Have 5–10+ years of experience as a People Business Partner in high growth tech environments, specifically supporting distributed GTM teams. Are comfortable working in remote first or globally distributed environments and operating asynchronously. Communicate clearly across both technical and non-technical audiences, with strong ins
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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: SpaceXSI is seeking an exceptional Civil Engineer to lead the civil and site development design and delivery of our next-generation mission-critical data center campuses and co-located power generation facilities. You will architect resilient, high-performance civil infrastructure systems capable of supporting massive AI compute loads, ultra-dense power infrastructure, and rapid deployment timelines that set new industry benchmarks. This is a high-impact, high-ownership role for an exceptional engineer who excels in fast-paced, technically demanding environments. You will combine deep expertise in land development, hydrology & hydraulics, and environmental systems with exceptional speed of execution, while seamlessly collaborating across structural, MEP, geotechnical, and construction teams to deliver facilities that power the future of AI. RESPONSIBILITIES: Own end-to-end civil and land development engineering for hyperscale data center campuses, power generation sites, turbine support areas, transformer yards, and industrial infrastructure — delivering complete site grading, stormwater management, underground utilities, and environmental compliance solution
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We are hiring a Head of Enterprise Ads Marketing to define and scale OpenAI’s global marketing strategy for enterprise advertisers, agencies, and strategic brand partners. This leader will own how advertisers understand, evaluate, adopt, and grow with OpenAI’s advertising solutions. This is a highly strategic and hands-on leadership role where you will shape the narratives that position OpenAI as a premium advertising platform for the world’s marketers while building the content, thought leadership, events, and demand programs that drive pipeline and long-term strategic growth. You will partner closely with Sales, Partnerships, Product, Finance, Legal, Communications, Research, and Data Science to help establish OpenAI as a trusted leader in the future of AI-powered advertising. This role is ideally based in San Francisco, CA, with a hybrid schedule of three days per week in the office. In This Role, You Will: Define the end-to-end enterprise advertiser marketing strategy across awareness, consideration, pipeline creation, adoption, expansion, and long-term growth. Develop OpenAI’s enterprise advertising narratives, positioning, and messaging architecture across AI-powered mar
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our Site Reliability Engineering (SRE) team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Staff Site Reliability Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability. We are seeking Staff SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyze reliability problems across our stack, then design and implement software and systems to create step-function improvements. You will design robust observability solutions, lead incident response, automate operational tasks, and continuously improve our infrastructure's reliability, all while mentoring and educating the broader engineering team to make reliability a core value at Replit. You Will: Architect and Implement Observability: Design, build, and lead the implementation of comprehensive monitoring, logging, and tracing solutions. Create dashboards and metrics that provide real-time visibility into system health and performance, enabling proactive issue detection. Define and Drive Reliability Standards: Work with product and engineering teams to define, implement, and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to monitor and report on these metrics, holding teams accountable and ensuring we maintain high reliability standards while balancing innovation speed. Lead Incident Management and Response: Act as a senior leader during high-impact incidents, guiding the team to rapid resolution
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As the Vice President, Customer Success, Professional Services & Support at Vanta, you will lead our existing Customer Success and Support organizations and build Vanta’s Professional Services function from the ground up. You will refine and define the delivery model, team, service offerings, and standards that accelerate customer time-to-value across every segment we serve. Vanta's mission is to help businesses earn and prove trust. We help companies automate compliance, security, and risk management so they can move fast without sacrificing trust. Our GTM organization is at the center of that mission, bringing Vanta's agentic trust platform to companies at every stage of growth, from early stage startups to global enterprises. Professional Services, Customer Success, and Support together form a strategic, high-leverage function within Vanta's GTM org. This VP will own the end-to-end delivery of implementation and consultative engagements that drive measurable outcomes for our customers, as well as ongoing account health, retention, and support across the customer lifecycle. This function will be a key driver of onboarding quality and long-term retention. You will own the combined Professional Services, Customer Success, and Support P&L, retention, support quality metrics, and services margin. Working in close partnership with our Channel & Alliances team, you will also help equip and enable Vanta's partner ecosystem, acting as a bridge between Vanta's delivery standards and partner-led engagements to drive mutual customer success. What you'll do as a Vice President, Professional Services, Customer Success & Su
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As the Vice President, Professional Services, Customer Success & Support at Vanta, you will lead our existing Customer Success and Support organizations and build Vanta’s Professional Services function from the ground up. You will refine and define the delivery model, team, service offerings, and standards that accelerate customer time-to-value across every segment we serve. Vanta's mission is to help businesses earn and prove trust. We help companies automate compliance, security, and risk management so they can move fast without sacrificing trust. Our GTM organization is at the center of that mission, bringing Vanta's agentic trust platform to companies at every stage of growth, from early stage startups to global enterprises. Professional Services, Customer Success, and Support together form a strategic, high-leverage function within Vanta's GTM org. This VP will own the end-to-end delivery of implementation and consultative engagements that drive measurable outcomes for our customers, as well as ongoing account health, retention, and support across the customer lifecycle. This function will be a key driver of onboarding quality and long-term retention. You will own the combined Professional Services, Customer Success, and Support P&L, retention, support quality metrics, and services margin. Working in close partnership with our Channel & Alliances team, you will also help equip and enable Vanta's partner ecosystem, acting as a bridge between Vanta's delivery standards and partner-led engagements to drive mutual customer success. What you'll do as a Vice President, Professional Services, Customer Success & Su
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Required Responsibilities • Own the site-level RDA strategy and annual roadmap aligned to NAND TD technology nodes. • Lead analysis of experimental and production flows to detect, classify, and trend systematic and random defects. • Establish, track, and report program health metrics (baseline health, detection rates, false positives, MTTR). • Direct fast containment for defect excursions: trigger tool quarantines, define hold criteria, and lead 8D corrective actions. • Architect inspection recipes and sampling strategies; optimize sensitivity, throughput, and cost of ownership. • Partner with Process Integration, Yield, and Data Science to correlate inspection signals to device performance and yield. • Influence supplier roadmaps; evaluate, qualify, and release next‑gen optical/e-beam inspection capabilities. • Standardize and disseminate Best Known Methods (BKM) across global TD and manufacturing sites. • Mentor, coach, and upskill engineers; develop succession plans and technical ladders within the RDA domain. • Champion safety and continuous improvement (CIP); drive kaizen/lean initiatives that improve cycle time and learning velocity. Key Responsibilities • Serve as the technical lead for RDA methodologies and execution wi
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As Package Characterization Lab Manager within Advanced Packaging Technology Development (APTD), you will lead a high-performing team of shift engineers and technicians delivering package characterization and failure analysis (FA) support for leading-edge technology development in advanced packaging. You will provide technical direction, own lab operational excellence and workforce development, ensuring timely, high‑quality results that directly impact critical APTD technical decisions. This role partners closely with Micron's global engineering labs, subject-matter experts and external vendors to expand lab capability, efficiency and ensure forward-looking readiness for new technologies. Responsibilities and Tasks Lab Management, Compliance & Audits Lead Package Characterization lab operations to meet key performance metrics, cycle-time and safety standards. Plan and optimize FA lab equipment, space, and budget to support current and future needs with high utilization efficiency. Coordinate timely equipment calibration (external vendors), repairs, and spare parts procurement to ensure sustained equipment uptime. Evaluate and introduce new FA tool models and capabilities in partnershi
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI compute infrastructure ecosystem. The InfraDev team is central to this mission, setting the strategy and executing the roadmap to scale our supercomputing footprint globally. From site planning to system integration, this team operates at the intersection of commercial, technical, and operational excellence, partnering with leaders across OpenAI and the industry. About the Role We are seeking a Strategic Sourcing Manager who is ready to take on global-scale challenges in AI compute supply and manufacturing — an opportunity to shape the future of supercomputing. As part of the Infrastructure Strategy & Delivery organization supporting Industrial Compute, OpenAI’s next-generation supercomputing platform, you will lead sourcing and strategic supplier engagements for compute infrastructure at hyperscale. This role will drive commercial strategy and supplier accountability across server platforms, accelerators, rack systems, and associated thermal & power delivery components. This is not traditional procurement — it is foundational work enabling OpenAI to deploy compute faster and more efficiently than anyone in the world, while building deeply-integrated partnerships with the global compute supply chain. Key Responsibilities Develop and execute sourcing strategies for the next generation of AI compute infrastructure in partnership with engineering and program leadership. Stay at the leading edge of industry and supply-chain trends to inform category strategy and long-range planning. Initiate, negotiate, and manage commercial agreements across OEM/ODM/JDMs for accelerators, GPUs/CPUs, server platforms, rack systems, liquid-cooling components, PSUs, and supporting mechanical/electrical subsystems. Secure capacity and optionality across a rapidly scaling compute supply chain while mitigating risk and ensuring manufacturing readiness. Partner cross-funct
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies. Our Vision We pursue large scientific challenges that cannot be pursued in conventional environments We enable individual investigators to pursue their riskiest and most innovative ideas The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity The Biohub Chicago is seeking an exceptional Computational Biologist, Spatiotemporal Multi-Omics to join our growing team. We are looking for a creative and collaborative bioinformatics researcher who is excited to build the analytical foundation for our spatiotemporal multi-omics technology platform. What You'll Do Develop data analysis workflows for spatiotemporal and multi-omics datasets. Build visualization tools that enable exploration and interpretation of complex biological data across space and time. Integrate proteo
About the Team OpenAI’s Strategic Finance organization provides the financial insight and guidance that support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while preserving sustainable unit economics. The Applications Technology Strategic Finance team works closely with Product and Engineering to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, and partner closely with the Infrastructure Engineering team to forecast infrastructure and compute demand and to manage margin targets and headcount planning with rigor. About the Role We are hiring a Director of Product Finance, Infrastructure and Compute Demand to help drive strategic decision-making across our product organization. This person will serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization and play a critical role in connecting product usage, compute demand, infrastructure costs, and margin outcomes across the portfolio. You will help build the frameworks that translate technical decisions into economic outcomes, shape planning across product and infrastructure teams, and ensure OpenAI is scaling its products with rigor and efficiency. You will also manage a small team, providing mentorship and leadership while remaining hands-on with analysis and execution. This role is ideally based in our San Francisco HQ, but we are open to NYC and Seattle. 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: Serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization. Own the consolidated compute and infrastructure demand forecast for the products we bring to market, partnering closely with capacity planning and
Foundation Risk Partners , one of the fastest growing insurance brokerage and consulting firms in the US, is adding a Commercial Lines Manager to their Acentria team in Miami, Florida. Job Summary: The Commercial Lines Manager is responsible for overseeing the day-to-day operations of the commercial insurance team, ensuring effective servicing of client accounts, driving revenue growth, and maintaining high standards of service delivery. This role provides leadership while also collaborating with sales teams to grow and retain the commercial book of business. Essential Functions: Supervise, mentor, and develop a team of commercial lines account managers and support staff Conduct performance evaluations, coaching, and training to ensure professional growth Establish clear performance expectations and accountability metrics Lead team meetings and foster a collaborative, high-performance culture Oversee servicing of commercial accounts to ensure accuracy, timeliness, and quality Manage complex or high-value client relationships Partner with producers/sales teams to onboard new clients and ensure smooth transitions Monitor retention strategies and implement improvements to enhance client satisfaction Ensure compliance with insurance regulations, carrier guidelines, and internal policies Optimize workflows, procedures, and systems to improve efficiency Review and approve policies, endorsements, renewals, and coverage placements Analyze production reports, service metrics, and team workloads Develop and maintain strong relationships with insurance carriers Negotiate terms, pricing, and coverage solutions Stay informed on market trends, carrier appetite, and underwriting changes Ensure adherence to all regulatory requirements and licensing standards Maintain documentation and audit readiness Identify operational risks and implement mitigation strategies Competencies & Qualifications: Strong leadership and team development skills Excellent communicatio
We are looking for a Senior Legal Counsel – an in-house generalist who owns legal projects end-to-end, from framework design down to forms and filings and ensure that legal work is implemented effectively in day-to-day business operations. WHAT YOU’LL BE DOING: Act as a legal generalist and key partner to internal teams – compliance, operations, finance, technology Own regulatory implementation projects: internal policies, compliance frameworks (including DORA in Malta), ongoing regulatory reporting Lead legal side of new market entry: entity setup, licensing, engagement with local regulators and consultants Draft and negotiate commercial agreements, including complex non-standard contracts in new markets Advise on employment and HR matters across multiple legal entities, including labour law and employment-related contracts Manage external counsels where specialist advice is needed WHAT WE LOOK FOR: Qualified lawyer, 7+ years of experience – in-house, law firm, or both Experience in a regulated or licensed business is a strong plus You handle a wide range of legal matters independently and to deadline You enjoy long, process-heavy projects – the result is a clean, compliant operation, not a headline deal Advanced user of modern AI tools; you use them daily Clear communicator - you explain complex things simply WHY SHOULD YOU JOIN OUR TEAM? Real ownership of your projects, short decision lines Fully remote from anywhere in the world Multiple jurisdictions, genuine variety of legal work AI-native team, no outdated workflows 40 paid days off, competitive compensation Not a perfect match on paper? We hire for potential and mindset, not just credentials. Tell us in your cover letter why we should talk.
About the Team The GSIO Workforce Management Planning Team consists of our Senior Manager, 3 Workforce Managers, multiple Workforce Planners/Schedulers and RTAs. Enjoy a comfortable team-oriented environment where things are always happening at a rapid pace and you can prioritize and organize tasks simultaneously. Manage outcomes and be empowered to make the decisions to lead to those outcomes. Be focused on quality, output-motivated, an extreme achiever who is progressive, and always pushing yourself to be 1% better each day! About the Role As one of DoorDash’s core operations teams, Support Ops is tasked with ensuring that when there are bumps in the last mile there’s always someone there to help make things right. Our team designs, manages and operates DoorDash’s massive and growing global network of support centers, with the ultimate goal of delivering a world-class customer experience every time. As part of DoorDash’s Support Operations Team, we’re looking for an experienced Workforce Planner to help develop and scale our support lines of businesses in the Mexico City area. We’re looking for an experienced Workforce Planner to support our contact center operations through contact forecasting, capacity planning, and new hire planning. You will translate forecasted demand into annual, monthly, weekly, and interval-level staffing requirements and actionable hiring plans, using operational metrics to improve forecast accuracy, workforce utilization, and service performance. This role requires hands-on Workforce Management or Workforce Planning experience in a contact center environment. You’re excited about this opportunity because you will… Develop and maintain new hire plans that translate forecasted staffing gaps into hiring requirements and training class timelines. Incorporate attrition, training and nesting duration, and ramp-up assumptions to determine when new hires will be ready to support production. Build and maintain support capacity plan models a
About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations — the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix. We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day. In this role you will Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems Define
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