Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make. The Senior Manager, Underwriting is the operational leader of the New Business Underwriting team, responsible for translating strategic direction from the Director of New Business Underwriting into day-to-day execution. This role owns team performance, service delivery, and underwriter development — ensuring the team operates with consistency, quality, and efficiency. The Senior Manager is a seasoned underwriting professional whose technical expertise is sought out by team members, and who can make sound, independent decisions in complex or ambiguous situations without waiting for direction. How You’ll Do It Lead Day-to-Day Underwriting Operations Own team adherence to service levels, underwriting guidelines, and quality standards; proactively surface and resolve operational bottlenecks before they escalate. Serve as the primary internal escalation point for complex submissions, risk evaluations, and underwriting judgment calls within the team. Manage workload distribution and capacity across the team to maintain SLA performance during volume fluctuations or staffing changes. Oversee training and SOP currency; ensure team members are up to date on appetite, product changes, pricing models, and industry developments. Develop Underwriting Talent Directly manages a team of underwriters that may include senior individual contributors, Team Leads, and/or other managers depending on organizational structure. Coaches and develops team members with a focus on building independent decision-making, accountability, and technical proficiency — creating the conditi
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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. About the role Synthesia ships more product, faster, than we ever have. AI has collapsed the cost of building which means the hard part is no longer making things, it’s making sure people actually adopt them. That’s the job of Growth, and we’re changing how we do it: instead of bolting Growth on after launch to optimise, we’re embedding a Growth PM into every core bet from day one, so how a product acquires, activates and scales is designed in from the first cycle. We’re hiring a Growth Product Manager to report to our VP of Growth. You'll own the Growth surface for one of those bets while helping build a growth-led way of working across the company. What you’ll be doing Own Growth for a core product area end to end, acquisition, activation, adoption and retention, baked into the roadmap from the start, not retrofitted. Partner closely with the core product PMs and engineers who own the surface, bringing high-impact growth ideas and working out where they fit, and getting the primitives exposed that let you build and scale on top. Design growth into the product itself: discovery-led acquisition loops, and experiences that get users to their job-to-be-done in a couple of clicks (sometimes without opening the edit
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 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. As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Key responsibilities Lead. This is a role where leadership trumps management and process. You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s)
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. About the role Synthesia ships more product, faster, than we ever have. AI has collapsed the cost of building which means the hard part is no longer making things, it’s making sure people actually adopt them. That’s the job of Growth, and we’re changing how we do it: instead of bolting Growth on after launch to optimise, we’re embedding a Growth PM into every core bet from day one, so how a product acquires, activates and scales is designed in from the first cycle. We’re hiring a Growth Product Manager to report to our VP of Growth. You'll own the Growth surface for one of those bets while helping build a growth-led way of working across the company. What you’ll be doing Own Growth for a core product area end to end, acquisition, activation, adoption and retention, baked into the roadmap from the start, not retrofitted. Partner closely with the core product PMs and engineers who own the surface, bringing high-impact growth ideas and working out where they fit, and getting the primitives exposed that let you build and scale on top. Design growth into the product itself: discovery-led acquisition loops, and experiences that get users to their job-to-be-done in a couple of clicks (sometimes without opening the edit
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. Role overview Synthesia is used by over 90% of the Fortune 100, and the largest deployments now run thousands of creators across dozens of markets, languages, and compliance regimes. What decides whether those accounts expand or stall is not another avatar, it is whether admins, legal, and programme owners can actually stay in control. You'll own that layer end to end: workspace setup and governance, the content lifecycle, and the analytics and integrations that close the loop. This is the work that turns a proof of concept into a seven-figure renewal, and right now it is wide open. Why this role now AI video has crossed from experiment to standard tooling inside the world's biggest companies. The next phase of growth is won or lost on whether we can make that scale safe and manageable. That is your remit. What you'll be doing Owning the end-to-end roadmap for content lifecycle, governance, and the operational layer that keeps enterprise deployments running - from workspace setup through compliance controls Getting close to enterprise customers: understanding how IT admins, legal teams, programme managers and content owners think about governance, and what "in control" actually looks like at scale Translating th
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible
About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Product Policy Manager, Regulation, you will map external regulatory and legislative trends and synthesize them into concrete research, product, and policy requirements. You will connect deep expertise in regulation and public policy with a sophisticated understanding of AI and strong product judgment. Your remit will span frontier AI, youth, wellbeing, use in high-stakes domains, deceptive use, and other emerging issues. Working closely with Legal and Global Affairs, you will help Product, Engineering, Research, and Safety teams understand what external developments mean for their work, what decisions or evidence are needed, and how to act. We’re looking for someone who combines deep regulatory and public-policy expertise with an in-depth understanding of AI and a demonstrated ability to advise product and engineering teams. You should be able to move from complex external developments to clear decisions and requirements that teams can implement. This role can be based in San Francisco or remote. 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: Map and prioritize regulatory and legislative developments across jurisdictions and AI issue areas. Distinguish enacted requirements, proposals, guidance, and emerging expectations; assess their relevance, uncertainty, timing, and implications for our models and products. Translate external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identify gaps in evidence, define the intended outcome and acceptance criteria, and make tradeoffs and open questions c
The exchange team develops and maintain a cutting-edge trading platform. With a global presence across APAC, EMEA and North America, the team has since grown with the goal to provide a seamless and secure trading experience for our clients. We are looking for a risk manager to join the CDNA Clearing Organisation. The position is based in Asia to give the clearing house risk coverage outside US hours, so you will be the first line of response for overnight incidents. The emphasis is on clearing risk and operations, but you will also contribute to the margin and stress-testing models behind them. You will be contributing to the building of a fast-growth trading platform with innovative, multi-asset products bridging traditional finance (TradFi) and digital markets. For all roles, we look for people who are passionate about financial market innovation, equipped with energy, act as owners, and have exemplary work ethics. Responsibilities Provide primary risk coverage during Asian and European hours, monitoring clearing member exposures and margin adequacy in real time and escalating breaches, abnormal activity, and position spikes to senior management. Oversee end-of-day settlement pricing processes and ensure the accuracy of cross-asset pricing data used for margin calculations and default management. Oversee the risk components of client onboarding and provide ongoing market, credit, and liquidity risk monitoring. Run the operational risk controls of the clearing house: guaranty fund and financial resource sufficiency, collateral eligibility and haircuts, and clearing member position limits and reportable thresholds. Calibrate and execute stress testing and reverse stress testing of clearing member portfolios, and support default management drills and the associated reporting. Design business requirements for clearing risk monitoring, including the daily risk pack for management. Manage and respond to regu
About the team The Capital Markets team develops the financing strategy, solutions, and partnerships needed to support our expanding global AI infrastructure platform and long-term investment plans. About the role We’re looking for a structured finance professional to serve as a technical execution engine for a lean, high-impact capital markets team. In this role, you’ll own the models, analysis, diligence, process management, and key execution workstreams behind standardized or more “vanilla” financings, while partnering with senior transactors on more complex transactions. This is not a junior analyst role. You’ll need the experience and maturity to work directly with senior leaders, banks, investors, counsel, and advisors without multiple layers of review. You should be highly capable in the details, strong under transaction intensity, and ready to help build financing processes for a rapidly scaling AI infrastructure platform. What you’ll do Translate financing objectives into clear analyses, recommendations, timelines, and deliverables. Support senior transactors on complex financings, including structuring, documentation, diligence, negotiation, and closing. Lead analysis, diligence, process tracking, and execution workstreams for financing transactions. Own transaction models, including debt sizing, cash-flow waterfalls, sensitivities, covenant analysis, and scenario evaluation. Work directly with internal stakeholders, banks, investors, counsel, advisors, and other counterparties. Review transaction documentation and help ensure commercial, financial, and diligence details are reflected accurately. Manage high-volume, detail-intensive workstreams in a lean team environment. Help develop repeatable tools, processes, and analytical infrastructure as the capital markets function scales. You might thrive in this role if you have At least 4-6 years of directly relevant experience in project finance, structured finance, infrastructure finance, private equity, or a
InvGate is a fast-growing SaaS company that develops innovative solutions for IT Service Management (ITSM), IT Asset Management (ITAM), and Enterprise Service Management (ESM). Our products help organizations in more than 70 countries streamline their IT operations, improve productivity, and deliver outstanding service experiences. We are looking for a Senior Product Manager to join our Product team. This team plays a key role in the evolution of our solutions, leading discovery processes, defining functionality, and managing the entire lifecycle of new features. The role leverages AI as an accelerator while ensuring alignment with our product strategy and roadmap. Core responsibilities Lead features from problem identification through launch, measurement, and iteration. Understand the needs of customers, users, and stakeholders, translating them into product opportunities. Partner with Engineering and Design/UX teams to define and deliver solutions in an agile manner. Use AI to conduct research, analyze information, build prototypes, and accelerate workflows. Prioritize initiatives based on their impact, technical feasibility, and business value. Define metrics to assess the quality and impact of features. Requirements Solid experience as a Product Manager across the different stages of the product lifecycle. Degree in Engineering, Computer Science, Information Systems, or equivalent technical experience. Strong technical understanding and the ability to collaborate effectively with Engineering teams. Demonstrated and regular use of artificial intelligence tools. A hands-on, autonomous profile focused on launching and iterating solutions. Ability to combine technical understanding with strong business judgment. Excellent communication, empathy, and negotiation skills. Advanced English proficiency. Highly valued Experience with B2B or SaaS products. Experience with AI-first products, chatbots, virtual agents, conversational platforms, or LLMs. Familiarity with techn
Primary Responsibilities: Works closely with hiring managers to understand the requirements of each assigned role and creates the requisition in the Applicant Tracking System. Identifies, attracts, and engages potential candidates using various channels and methods to find individuals who meet the qualifications and requirements of the assigned open jobs. Manages job postings for assigned roles through various job portals, career sites, social media, and networking tools. Reviews resumes and applications to identify qualified candidates who meet the hiring criteria. Conducts initial phone screens, in-person interviews or virtual interviews to assess candidates' qualifications and suitability for the role Ensures that all mandatory information and documentation is entered and uploaded into the Applicant Tracking System. Loads and tracks open roles in the Applicant Tracking System. Manages the Applicant Tracking system by cleaning and updating the records based on the reporting/metrics requirements. Proactively identifies and recruits passive job seekers. Develops and retains relationships with candidates and referrals. Builds and maintains a comprehensive candidate pipeline that addresses all/any resource needs. Builds strong strategic relationships with hiring managers and teams, handle a diverse set of roles/positions, and able to manage competing priorities. Maintain confidentiality of HR information. Other TA related projects/tasks as assigned. Candidate Profile: Bachelor’s / Master's degree required or a combination of education, experience, and/or skills with 3-5 years of experience in candidate recruiting. Experience working with Agencies and diverse Recruiting partners to identify best fit candidates. Proficient in MS Office (Word, Excel, Outlook). Strong recruiting experience within Life Sciences industry is required. Good verbal and written language skills in English. Ability to be discreet and handle confidential and sensitive information. Stro
About the Team OpenAI’s Governance team helps shape how the company responsibly develops and deploys increasingly capable AI. We bring together technical evidence, policy, and operational perspectives to help the company address emerging risks, resolve difficult questions, and make well-supported decisions. Our work includes shaping and improving governance practices, supporting effective oversight, developing clear assessments and recommendations, and ensuring that decisions lead to action. We work closely with research, safety, security, legal, and product teams to identify gaps, reconcile different views, and improve our approach as capabilities and circumstances change. About the Role We are looking for a curious, high-agency Research Program Manager who can reason from first principles, make sense of incomplete or conflicting information, and move difficult work forward. You will help shape the substance of governance reviews, connect ideas and evidence across teams, and develop recommendations that are both well-founded and practical. The work requires someone who can use established approaches where they fit, recognize when circumstances call for a different approach, and update their thinking as new evidence emerges. You should bring sound judgment, a willingness to experiment and learn, and the program-management discipline to turn good analysis into action. Depending on your experience and the team’s needs, your work may focus on safety advisory and board-level oversight, deployment governance, or standards and strategic partner commitments. In this role, you will: Bring together technical, policy, and operational inputs to develop coherent assessments, recommendations, and decision materials for governance bodies and senior leaders. Work through emerging or ambiguous questions, test assumptions, identify gaps or conflicting evidence, and help determine what additional analysis or decisions are needed. Engage critically with research, evaluations, safeguar
About the Role As MongoDB scales, our Finance organization needs systems that scale with it. We are seeking a Senior Manager, Finance Technology - to lead a team of Product Managers, NetSuite Engineers, and Engineers who build and evolve the financial technology platform behind Tax, Treasury, Accounting, Source-to-Pay (S2P), and FP&A. This is a player-coach leadership role at the intersection of Finance, Product, and Engineering. You will own the technical direction for the finance technology stack, turn complex finance requirements into scalable, automated, and compliant solutions, and build a high-performing team that delivers measurable business outcomes. You will also own our NetSuite engineering function, leading the team that develops, integrates, and maintains our ERP platform as the foundation for Finance. You will partner closely with the CFO organization, Controllership, Tax, Treasury, Procurement, FP&A, IT, Security, and Data teams. This role is based in the US. [Palo Alto/ New York] Key Responsibilities Fintech Strategy & Roadmap Define and execute a multi-year fintech strategy and roadmap across Tax, Treasury, Accounting, S2P, and FP&A, aligned to Finance priorities and company growth plans Prioritize investments using clear business cases, ROI, and risk considerations, balancing quick wins against foundational platform work Drive automation, AI-enabled workflows, and self-service capabilities that reduce manual effort and shorten close, planning, and procurement cycles Stay ahead of fintech trends, ERP and finance platform best practices, and emerging technologies, and apply them where they create value Product & Engineering Leadership Lead and mentor a team of Product Managers and Engineers, setting clear goals, quality standards, and delivery expectations Establish product management and engineering practices for the Finance domain, including discovery, requirements, prioritization, agile delivery, release management, and measurem
Senior Data Scientist Description - The Team We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers. Responsibilities Defines and implements AI solutions to create business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Knowledge & Skills Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services. Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems. Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems. Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges. Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Funct
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