Content Lead Jobs

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members across UK and India Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM: The Product Security team at Tide is responsible for embedding security across the full product surface, from secure design and threat modelling through to application-layer controls and vulnerability management. Within Product Security, the Remediation Operations function owns the day-to-day engine of Tide's vulnerability management programme: turning a high volume of findings from across our tooling estate into clear, prioritised, actionable work for engineering and IT teams. This role sits at the heart of that function. You will be the connective tissue between security tooling and the teams who fix things, making sure the right vulnerabilities reach the right people with the right context, and that the

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members across UK and India Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM: The Product Security team at Tide is responsible for embedding security across the full product surface, from secure design and threat modelling through to application-layer controls and vulnerability management. Within Product Security, the Remediation Operations function owns the day-to-day engine of Tide's vulnerability management programme: turning a high volume of findings from across our tooling estate into clear, prioritised, actionable work for engineering and IT teams. This role sits at the heart of that function. You will be the connective tissue between security tooling and the teams who fix things, making sure the right vulnerabilities reach the right people with the right context, and that the

Job Summary AMOREPACIFIC US Inc. would like to kindly invite a consumer research specialist to apply for a position in Americas R&I Center. This position focuses on managing various consumer research to better understand the North American market/consumer trends and consumer feedback on our products. The valuable insights gained from these studies will be applied to our marketing and sales strategies, as well as the development of innovative new products. Principal Accountabilities Initiate and oversee internal consumer and market research projects, including coordinating the logistical and technical aspects of research studies. Design and execute various consumer research studies, including focus group discussions (FGD), in-depth interviews (IDI), home usage tests (HUT), etc. Synthesize research data into insightful reports and compelling proposals that directly inform product and marketing decisions. Cultivate and maintain an active network with research partners. Attend customer research seminars, report main contents, and propose new customer research models. Continuously explore and integrate new research methodologies to stay at the forefront of consumer insights. Monitor and analyze consumer/market trends, including competitive brands' launches and consumer feedback, and generate related regular reports. Manage internal consumer research panels and utilize them to conduct consumer research. Key Expierence & Skills Qualification and Experience Bachelor’s degree in Science, Cosmetic Science, Chemistry, Biology, Business, Marketing, Consumer or Market Research, Psychology, Statistics, or a related field Minimum 3 years of experience in consumer or market research, cosmetic product development, product evaluation, or a related field Experience designing or managing consumer studies, product testing, or cosmetic development projects Experience in the beauty, personal care, health, food, or consumer packaged goods industry preferred Exp

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems. Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible. Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI. 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: Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem. Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents. Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows. Shape how agents perform actions across Datadog products and third-party systems. Partner closely with AI, platform, infrastructure, and product tea

Titan Security is built on serving our clients and building careers – just like yours. We are trusted by some of the most well-known companies and properties in the country while remaining dedicated to building personalized security solutions that solve the needs of every customer we support. Named as a nationally recognized Top Workplace in 2024 and 2025 by USA Today, Titan's customized approach to security services will provide you with the opportunity to learn, grow and succeed. Our core values of being Unified, Transparent, Innovative, Committed and Accountable help us in providing unparalleled service and support in all that we do. If you are looking for a meaningful career, a culture of excellence, and the ability to make a difference, we want to talk to you! Titan Security is currently hiring Scalehouse Operators & Document Processors in the Coshocton, Ohio Area. A Scale house Operator typically may manage the weight measurements of vehicles that enter or exit the premises and ensure proper documentation for a warehouse. The role involves both administrative and customer service duties in a manufacturing setting. Here are the key duties of a Scalehouse Operator: Weighing Vehicles Ensure that vehicles (trucks, cars, or containers) are properly weighed upon entry and exit. Operate and maintain the scale system to accurately measure the weight of vehicles and their contents. Record vehicle weights and compare them to required limits (if applicable). Data Entry and Record Keeping Enter weight data and vehicle information into the system or logbook. Ensure all entries are accurate and up-to-date. Generate reports on weight records, receipts, and transaction details for management. Customer Service Greet drivers as they arrive at the facility. Assist drivers in completing necessary paperwork for their loads (e.g., waste disposal, recycling). Answer questions regarding scale usage, facility procedures, and weight limits. Provide instructions for unloading

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Senior Analyst, Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure. What you'll do Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts Build and maintain critical reporting data models that power external merchant reporting Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) Develop processes, governance, and foundations to scale the impact of analytics within Revenue. What we look for 3+ years of work experience in an analytics engineering or business intelligence role Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) Understanding of the data f

AI Fullstack Engineer Poland ABOUT US Capco is seeking experienced and motivated AI Engineers to help design, build, and deploy AI-enabled solutions for clients in the financial services industry. As part of this engagement, you will work on complex business, technology, and data challenges, applying modern AI engineering practices to create scalable, reliable, and production-ready solutions. We are seeking professionals combines strong software engineering skills with practical experience in large language models, machine learning, data platforms, and modern AI application development. You will collaborate with client stakeholders, product teams, data specialists, and engineers to turn business needs into AI capabilities that are explainable, maintainable, and aligned with enterprise standards. SCOPE OF SERVICES AI Solution Delivery Design, develop, test, and deploy AI-enabled applications and services. Build solutions using large language models, machine learning, retrieval-augmented generation, semantic search, and agentic AI patterns where appropriate. Translate client business problems into technical designs, implementation plans, and working software. Develop reusable AI components, APIs, prompts, workflows, and evaluation approaches. Ensure AI solutions are scalable, reliable, secure, and suitable for production use. Data, Knowledge, and Retrieval Engineering Work with structured and unstructured data sources to support AI-enabled discovery, reasoning, and decision support. Build or integrate search, retrieval, ranking, and knowledge management capabilities. Develop approaches that help AI systems understand business context, data assets, metadata, documentation, and other enterprise knowledge sources. Improve the quality, relevance, traceability, and explainability of AI-generated outputs. Collaborate with data engineering and platform teams to ensure AI solutions are well integrated with existing data ecosystems. Technical

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the InfoSec & IT Team The Application Security team helps Affirm build and launch products that earn customer trust, meet compliance obligations, and reduce business risk. We partner closely with product, engineering, infrastructure, risk, compliance, and other teams to identify security risks early, recommend pragmatic mitigations, and help teams find safe paths to launch. We are looking for an early-career Application Security Engineer who is curious, collaborative, and comfortable working with code. You will help assess application risks, support vulnerability management efforts, partner with engineering teams on secure design decisions, and contribute lightweight tooling, automation, and code-informed analysis that helps AppSec scale across Affirm. This role is a great fit for someone who has hands-on software or security experience, enjoys reading and reasoning about code, is actively developing offensive security skills, and wants to apply those skills in a product-minded, risk-based way. What You'll Do Partner with product and engineering teams to identify application security risks and help frame them as clear business risks, launch options, and recommended next steps. Read application code, configuration, pull requests, logs, and documentation to understand how systems work and where security risks may exist. Contribute small code changes, scripts, detections, tests, secure defaults, or automation that improve AppSec workflows and reduce recurring issues. Work in GitHub to review code changes, understand engineering context, participate in pull request discussions, track remediation work, and collaborate with engineers. Help evaluate vulnerabilities from internal testing, bug bounty reports, security tooling, penetration tests, and other sources; partner with teams to pri

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API Security, code security (IAST and SCA), and AI-assisted ("agentic") onboarding, always measured by real product outcomes and operational telemetry. The Opportunity We're looking for a senior, polyglot engineer to contribute across several of our security libraries, with .NET or Java expertise. You'll design and build security integrations and detection features, take them from prototype to production-hardened, and own them operationally as they instrument thousands of applications. As a se

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

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 Complex Tax Operations team supports the TaxJar product and broader Tax Operations and Delivery teams by increasing operational effectiveness. The team resolves complex operational issues and escalations while helping the organization to support new capabilities before they scale. What you’ll do We’re looking for an AutoFile Specialist, Tax to manage high-stakes, ambiguous escalations and pave the way for stable operational growth. In this role, you will tackle the challenges that don't have a pre-written playbook—investigating complex anomalies, identifying why they occurred, and coordinating across teams to ensure they don't happen again. You will work at the intersection of problem-solving, cross-functional collaboration, and process improvement to bridge the gap between initial friction and long-term operational resilience. This role is ideal for someone who loves diving headfirst into unstructured problems, connecting the dots between isolated operational issues, and bringing order, clarity, and repeatability to chaotic situations. Responsibilities Own high-risk, cross-functional escalations that do not have a clear playbook Ensure timely follow-through and closure on issues, decisions, and action items Investigate recurring issues and identify root causes Partner cross-functionally to remove blockers and prevent repeat failures Bring clarity to ambiguity by connecting people, data, and context Serve as an escalation partner f

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done . You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work. What You'll Do Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. Automate the data lifecycle -

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API Security, code security (IAST and SCA), and AI-assisted ("agentic") onboarding, always measured by real product outcomes and operational telemetry. The Opportunity We're looking for a senior, polyglot engineer to contribute across several of our security libraries, with .NET or Java expertise. You'll design and build security integrations and detection features, take them from prototype to production-hardened, and own them operationally as they instrument thousands of applications. As a se

JOIN OUR TEAM As a Senior Software Engineer on our Web & API team, you will play a key role in shaping and evolving our e-commerce storefront. Working across the full stack, from React components and data integrations to AI-powered features, you will take ownership of complex features end-to-end, from specification and architecture through to delivery and monitoring. In close collaboration with Product and Design in an agile environment, you will combine a keen eye for performance with a drive to build experiences that delight millions of customers. Your curiosity for emerging technologies will help the team work smarter, ship faster, and continuously push the boundaries of what is possible. This position is permanent and based in Munich . WHAT YOU'LL DO Design, build, and maintain features end-to-end across the storefront and mobile API, from specification through server-side data loading and UI to production release and maintenance Build and extend integrations with our e-commerce, headless CMS, search, analytics, and experimentation platforms Build AI-powered user-facing features, directing and reviewing AI coding agents in your own and the team's workflow while owning the correctness, security, and maintainability of everything that ships Own the caching, rendering, and performance strategy for the storefront and mobile API Partner with Product Managers and Designers to turn business goals into performant, high-quality user experiences Champion code quality and reliability through testing, code reviews, and the conventions and context that keep the codebase healthy for both engineers and AI agents as it grows YOU COME WITH Deep expertise in React, TypeScript, and modern frontend development, backed by strong software architecture skills and solid engineering principles A sharp focus on performance across the stack, from frontend rendering to backend data fetching, including server-side rendering (ideally with React Router) and GraphQL Strong specification and ar