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Squarespace is looking for an experienced and strategic Group Growth Marketer to lead our customer acquisition, retention, and revenue growth initiatives across digital and lifecycle channels. This role will be responsible for building and scaling data-driven marketing strategies that accelerate growth, optimize funnel performance, and maximize customer lifetime value. They will own web, lifecycle marketing and funnel conversion. The ideal candidate combines strategic vision, analytical rigor, and team leadership, with a proven track record of driving measurable business results in high-growth environments. This role will partner cross-functionally with Product, Media, Affiliate, CRM, and Content teams to deliver integrated growth programs aligned with company goals. You’ll Get To… Partner closely with the Growth Product leader to jointly define and drive unified company wide growth strategy, aligning product led and marketing led initiatives across the full customer lifecycle. Develop and execute the company’s comprehensive growth marketing strategy across acquisition, activation, retention, and re-engagement. Analyze customer behavior across the entire lifecycle, including acquisition, activation, engagement, retention, reactivation, and churn prevention Own growth KPIs including customer acquisition cost (CAC), conversion rates, customer lifetime value (LTV), retention, and revenue contribution. Identify and prioritize new growth opportunities through testing, experimentation, and channel expansion. Lead annual and quarterly growth planning, forecasting, and budget allocation. Build lifecycle marketing strategies that improve onboarding, engagement, retention, and customer advocacy. Partner with CRM, PMM, and product teams to develop personalized customer journeys across email, SMS, in-app, and push channels. Improve customer lifetime value through segmentation, automation, and upsell/cross-sell initiatives. Ensure the website is a highly optimized revenue driver

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from th

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from th

About the Role Anyscale is seeking a Senior / Staff Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads. This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for Anyscale RunTime, our high-performance commercial engine. You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires: Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffs Working closely with customers and open source users to draw the subtle line between growth and commercialization Strategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value. Thinking deeply about and clearly articulating the product strategy to stakeholders Key Responsibilities Drive the Ray Data product roadmap - Balance open source Ray Data feature development with Anyscale Runtime commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling. Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrations Market Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation. Customer engagement - Drive key customer engagements assisting sales and field engineering teams. Required Qualifications 4+ years of product management experience with technical products Strong technical background in distributed systems, ML infrastructure, or data processing Experience working

Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog's Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company's interests. 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: Support Datadog's AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem through meetups, conferences, and events. Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog's AI roadmap. Support negotiation processes, including term sheets and partnership structures, and collaborate on integration planning with cross-functional partners after deals close. Help attract early-stage AI companies into Datadog's startup program. Wh

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Requisition Job Description Position Summary The Director, Corporate Affairs Technology leads the strategy, delivery, and operations of technology solutions supporting Legal, Compliance, and Corporate Security functions. This role partners with Corporate Affairs leadership to enable regulatory compliance, risk management, and enterprise protection through modern, scalable, and AI-driven technology solutions. This position is a leader-of-leaders role , with direct oversight of Senior Managers and their teams, and is accountable for delivering business-aligned outcomes across the Corporate Affairs application portfolio. Key Responsibilities Define and execute the technology strategy and multi-year roadmap for Corporate Affairs (Legal, Compliance, Corporate Security) Serve as a strategic partner to business leadership, aligning technology solutions to legal, compliance, and security priorities Lead and develop Senior Managers and their teams , ensuring strong performance, accountability, and organizational growth Own the end-to-end application portfolio , including design, delivery, operations, and modernization of platforms Champion AI, automation, and advanced analytics solutions to transform legal, compliance,

Position Overview We are seeking a transformative Senior Director, Talent Acquisition to lead the overall recruiting function and deliver a high-impact, modern, and scalable hiring experience across the organization. In this role, the successful candidate will partner closely with senior business leaders and HR stakeholders to align hiring priorities, shape workforce plans, and support business growth through innovative, data-driven talent strategies. This leader will oversee end-to-end recruitment strategy and operations, guide team performance, and drive process improvements that strengthen hiring outcomes, scalability, speed, and quality of hire. A key focus of the role will be leading the successful implementation and optimization of Workday Recruiting and related processes, while advancing the use of AI-enabled recruiting tools, automation, talent intelligence, and analytics to improve sourcing effectiveness, decision quality, operational efficiency, and candidate experience. The ideal candidate is an AI-forward talent acquisition leader who brings strong leadership, stakeholder management, strategic thinking, and communication skills, along with deep expertise in recruiting operations, team development, talent analytics, recruiting technology, and enterprise process transformation. They will bring experience leading large-scale systems and process change, including Workday implementation or optimization, as well as a thoughtful approach to the responsible use of AI and technology across the hiring lifecycle. They will also bring a fresh and creative approach to attracting top talent and play a key role in advancing and strengthening our employer brand in the market. Key Responsibilities Lead the global Talent Acquisition function across a broad team or portfolio, with accountability for recruiting strategy, delivery, team capability, technology adoption, and performance against hiring goals. Partner closely with senior business leaders, HR

Position Overview We are seeking a transformative Senior Director, Talent Acquisition to lead the overall recruiting function and deliver a high-impact, modern, and scalable hiring experience across the organization. In this role, the successful candidate will partner closely with senior business leaders and HR stakeholders to align hiring priorities, shape workforce plans, and support business growth through innovative, data-driven talent strategies. This leader will oversee end-to-end recruitment strategy and operations, guide team performance, and drive process improvements that strengthen hiring outcomes, scalability, speed, and quality of hire. A key focus of the role will be leading the successful implementation and optimization of Workday Recruiting and related processes, while advancing the use of AI-enabled recruiting tools, automation, talent intelligence, and analytics to improve sourcing effectiveness, decision quality, operational efficiency, and candidate experience. The ideal candidate is an AI-forward talent acquisition leader who brings strong leadership, stakeholder management, strategic thinking, and communication skills, along with deep expertise in recruiting operations, team development, talent analytics, recruiting technology, and enterprise process transformation. They will bring experience leading large-scale systems and process change, including Workday implementation or optimization, as well as a thoughtful approach to the responsible use of AI and technology across the hiring lifecycle. They will also bring a fresh and creative approach to attracting top talent and play a key role in advancing and strengthening our employer brand in the market. Key Responsibilities Lead the global Talent Acquisition function across a broad team or portfolio, with accountability for recruiting strategy, delivery, team capability, technology adoption, and performance against hiring goals. Partner closely with senior business leaders, HR

About the Team The B2B Marketing team is a small, high-impact group focused on driving lead generation across multiple DoorDash business lines, including Restaurants (U.S. & Canada) and New Verticals (Alcohol, Flowers, and more). We’re a fast-growing team where you’ll have the opportunity to shape our marketing approach, work closely with global stakeholders, and grow as the team expands. About the Role We’re looking for a performance-driven Paid Search specialist to help scale our B2B acquisition efforts across the U.S. and Canada. In this role, you’ll own the end-to-end execution of Paid Search campaigns, managing performance, identifying growth opportunities, and driving efficiency across a multi-million dollar budget. You’ll work closely with U.S.-based teams and platform partners like Google and Microsoft. You will report directly to our local Manager, B2B Performance Marketing. You’re excited about this opportunity because you will… Ownership: End-to-end Paid Search execution aligned to B2B growth goals (lead quality, efficiency, and scale) Campaigns: Build, launch, and optimize Search and Performance Max campaigns across the U.S. and Canada Performance: Monitor and improve campaign performance against core KPIs (e.g., lead generation, efficiency, and return) Optimization: Drive continuous improvements through testing, automation, and data analysis Insights: Translate performance data into clear insights and recommendations for cross-functional partners Stakeholder collaboration: Partner with internal teams and external platforms (Google, Microsoft) to unlock growth opportunities We’re excited about you because… You have 3–5+ years of experience in performance marketing, with a focus on Paid Search You have hands-on experience managing Google Ads and/or Microsoft Ads campaigns You’re comfortable working with data and using it to make decisions and drive improvements You can clearly communicate insights and recommendations to stakeholders You’re

About the Team The B2B Marketing team is a small, high-impact group focused on driving lead generation across multiple DoorDash business lines, including Restaurants (U.S. & Canada) and New Verticals (Alcohol, Flowers, and more). We’re a fast-growing team where you’ll have the opportunity to shape our marketing approach, work closely with global stakeholders, and grow as the team expands. About the Role We’re looking for a performance-driven Paid Search specialist to help scale our B2B acquisition efforts across the U.S. and Canada. In this role, you’ll own the end-to-end execution of Paid Search campaigns, managing performance, identifying growth opportunities, and driving efficiency across a multi-million dollar budget. You’ll work closely with U.S.-based teams and platform partners like Google and Microsoft. You will report directly to our local Manager, B2B Performance Marketing. You’re excited about this opportunity because you will… Ownership: End-to-end Paid Search execution aligned to B2B growth goals (lead quality, efficiency, and scale) Campaigns: Build, launch, and optimize Search and Performance Max campaigns across the U.S. and Canada Performance: Monitor and improve campaign performance against core KPIs (e.g., lead generation, efficiency, and return) Optimization: Drive continuous improvements through testing, automation, and data analysis Insights: Translate performance data into clear insights and recommendations for cross-functional partners Stakeholder collaboration: Partner with internal teams and external platforms (Google, Microsoft) to unlock growth opportunities We’re excited about you because… You have 3–5+ years of experience in performance marketing, with a focus on Paid Search You have hands-on experience managing Google Ads and/or Microsoft Ads campaigns You’re comfortable working with data and using it to make decisions and drive improvements You can clearly communicate insights and recommendations to stakeholders You’re

About the Team The B2B Marketing team is a small, high-impact group focused on driving lead generation across multiple DoorDash business lines, including Restaurants (U.S. & Canada) and New Verticals (Alcohol, Flowers, and more). We’re a fast-growing team where you’ll have the opportunity to shape our marketing approach, work closely with global stakeholders, and grow as the team expands. About the Role We’re looking for a performance-driven Paid Search specialist to help scale our B2B acquisition efforts across the U.S. and Canada. In this role, you’ll own the end-to-end execution of Paid Search campaigns, managing performance, identifying growth opportunities, and driving efficiency across a multi-million dollar budget. You’ll work closely with U.S.-based teams and platform partners like Google and Microsoft. You will report directly to our local Manager, B2B Performance Marketing. You’re excited about this opportunity because you will… Ownership: End-to-end Paid Search execution aligned to B2B growth goals (lead quality, efficiency, and scale) Campaigns: Build, launch, and optimize Search and Performance Max campaigns across the U.S. and Canada Performance: Monitor and improve campaign performance against core KPIs (e.g., lead generation, efficiency, and return) Optimization: Drive continuous improvements through testing, automation, and data analysis Insights: Translate performance data into clear insights and recommendations for cross-functional partners Stakeholder collaboration: Partner with internal teams and external platforms (Google, Microsoft) to unlock growth opportunities We’re excited about you because… You have 3–5+ years of experience in performance marketing, with a focus on Paid Search You have hands-on experience managing Google Ads and/or Microsoft Ads campaigns You’re comfortable working with data and using it to make decisions and drive improvements You can clearly communicate insights and recommendations to stakeholders You’re

Role Overview We are looking for a Senior FP&A Engineer to lead the design and implementation of enterprise planning solutions across Finance, Sales, and Workforce domains. This role will be part of a Global Finance Technology, partnering closely with onshore FP&A, RevOps, and other Business teams. You will play a key role in driving the organization’s transition to driver-based, integrated planning using platforms such as Pigment, Anaplan, and Workday Adaptive Planning, while ensuring scalability, governance, and high-quality delivery from India. We are looking to speak to candidates who are based in Gurugram or Bangalore for our hybrid working model. Key Responsibilities 1. Enterprise Planning Delivery Design and build scalable planning models across: Financial Planning (P&L, Cash Flow, Balance Sheet) Workforce Planning and Cost modeling Sales & Revenue forecasting (ARR, pipeline, bookings) Own end-to-end delivery working with the Product Manager : design → build → test → deploy → support 2. Model Development & Optimization Build multi-dimensional, driver-based models with strong focus on performance Develop scenario planning, versioning, and forecasting capabilities Optimize model size, calculation efficiency, and user experience 3. Platform Expertise Subject Matter Expertise in: Pigment Anaplan (Model Builder / Solution Architect) Configure workflows, security, and access controls Leverage platform-native capabilities vs over-customization 4. Data Integration & Automation Integrate planning tools with enterprise systems: ERP (NetSuite / Oracle) CRM (Salesforce) Data platforms Build and maintain automated data pipelines using SQL, APIs, or ETL tools 5. Stakeholder Collaboration (Global Model) Work closely with US / EMEA FP&A, IT, and Business teams Participate in requirement workshops and translate business needs into technical designs Provide regular updates, demos, and documentation to global stakeholders 6. Governance, C

About the Role We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms. Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security. We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model. Key Responsibilities Data Strategy & Roadmap Design semantic layer architecture standardizing business metrics enterprise-wide. Define governance guardrails ensuring natural language queries access validated master data sources Develop Master Data strategy for Customer and Product domains (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy. Partner with business owners on master data governance Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness. Document trade-offs and recommend implementations for batch and near-real-time use cases Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People. Identify capability gaps and recommend technology investments with business value and effort estimates Systems Design & Solution Leadership Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns