Browse AI Jobs — Page 168

Associate Field Marketing Manager (US East and Can...

Negotiable

Datadog is looking for a resourceful and creative Associate Field Marketing Manager to lead event strategy and execution for Datadog's AI product line across the East and Canada region. This role is ideal for someone who is passionate about AI and developer communities, enjoys getting hands-on with technical audiences, and wants to build a market-leading brand presence for Datadog's AI offerings. As part of the NAMER Field Marketing team, you will own the strategy, planning, and execution of a mix of practitioner-focused events, hands-on workshops, and surround activations at major AI conferences. This role is critical to scaling awareness and adoption of Datadog's AI products, and to building durable relationships with AI customers, prospects, and the broader developer community. 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 - Own the strategy, planning, and end-to-end execution of AI practitioner events, hands-on workshops, and meetups across the East and Canada - Lead surround and off-site activations at major AI conferences (e.g., NVIDIA GTC, Ray Summit, AI Engineer Summit, and similar industry events) to build brand visibility and drive engagement with target audiences - Partner with Product Marketing and AI/ML product teams to translate Datadog's AI observability and LLM monitoring capabilities into compelling, technically credible event content - Design and continuously improve hands-on workshop curriculum and live demos that showcase Datadog's AI products to practitioners and technical decision-makers - Build scalable, repeatable event playbooks and toolkits so programs can be run consistently across multiple markets - Manage vendors, venues, budgets, staffing, and on-site logistics, ensuring every event reflects Datadog's brand and delivers a seamless attendee experience - Partner closely with Sales and Field Marketing to align event strategy with territory and pipeline priorities across NAMER - Track, measure, and report on pipeline influence, attendee engagement, and program ROI, using data to continuously refine the event mix - Cultivate and grow relationships with AI developer communities, meetup organizers, and local user groups to expand Datadog's reach and reputation - Stay current on the AI/ML landscape and competitive events calendar to identify new opportunities for Datadog to show up and stand out Who You Are - 1-2 years of experience in field marketing, event marketing, or program management, ideally with technical, developer, or AI/ML audiences - Genuine enthusiasm for AI and machine learning, with the curiosity to go deep enough on the product to speak to it credibly at events - Experience planning and running practitioner-focused events or hands-on workshops, from concept through post-event follow-up - Strong project management skills, with the ability to manage multiple events, vendors, and budgets simultaneously in a fast-paced environment - Excellent verbal and written communication skills, comfortable presenting to and engaging with technical audiences - A collaborative, cross-functional operator who partners naturally with Sales, Product Marketing, and Product teams - Process-oriented mindset with an interest in building scalable, repeatable programs - Familiarity with marketing or sales tools (e.g., SFDC, Marketo) is a plus - Ability to travel up to 50% of the time Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits & Growth: - Generous and competitive benefits package - New hire stock equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $71,000 - $94,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

👤 HumanFull-timeMid

By DatadogAug 5, 2026

Senior Customer Engineer - Madrid based

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Spain, Madrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation For Spain based hires: Estimated annual salary is between €90,000-124,000. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

👤 HumanFull-timeSenior

By CloudflareJul 30, 2026

Senior Named Account Executive (AI & Digital Nativ...

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: NYC Metro About the role The Enterprise AI and Digital Natives segment is Cloudflare's fastest growing and highest visibility market. This segment is dedicated exclusively to the largest organizations in the modern tech economy including premier SaaS platforms, hyperscale digital marketplaces, and leading AI labs. This is a deep infrastructure, developer centric play where technical alignment and deep engineering partnerships are our most critical currencies, resulting in Cloudflare’s largest and most complex enterprise agreements. Digital Native AEs at Cloudflare sell into the most innovative companies in North America. In targeting high-growth, technologically advanced, and venture-backed companies, AEs are positioned to drive in-depth product discussions while communicating and demonstrating value quickly to customers. This role within the digital native segment focuses on both the acquisition of prospective Digital Native accounts, as well as the expansion of existing customer accounts. The ideal candidate will have both a sales and technical background that enables them to drive customer engagement from technical professionals through to senior executive levels, and across Security, Network, Development and Infrastructure teams. Responsibilities - Develop, execute, and maintain your territory plan to exceed quarterly sales targets and annual quota assignment. - Be an expert in three unique sales motions; new business acquisition (new customer logos), customer expansion (upsell and cross sell Cloudflare solutions), and renewal within your territory. - Build a robust sales pipeline utilizing the four sourcing funnels: AE led outbound, BDR, Channel, and Marketing Inbound. - Develop and strategically leverage a deep technical understanding of the problems Cloudflare solves in order to drive a consultative sales motion. - Craft and communicate compelling value propositions for Cloudflare services. Drive awareness through regular outbound campaigns on product and feature roadmap updates. - Accurately forecast, build commercial outcomes by running a consistent sales process, including driving next step expectations and contract negotiations. - As a trusted advisor, build long-term strategic relationships with key accounts, to ensure customer adoption, retention and expansion. Regularly evaluate usage trends and articulate value to show Cloudflare impact and provide strategic recommendations during business reviews. - Network across different business units with each of your accounts, and multi-thread to identify and engage new divisional buyers. - Position Cloudflare's platform in each of your target customers, including Cloudflare One and the Connectivity Cloud to realize our full potential in every customer. - Operate internally as a liaison with cross-functional teams to share key customer feedback and insights to improve customer experience and further investments with Cloudflare. Desirable Skills, Knowledge, and Experience - 5+ years sales experience selling B2B SaaS - Strong B2B discovery skills - Candidates have a point of view of industry trends and able to customize a client centric why change narrative - Track record of beating annual targets of $1M+ and successfully managing complex six figure deals - Experienced in multithreading into the C-suite and across an organization to manage a complex sales cycle - Self-motivated; entrepreneurial spirit - Bachelor's degree required - Software and system skills are a must (SFDC, Tableau, G-suite, MSFT suite) - Ability to travel up to 25% of the time. Compensation Compensation may be adjusted depending on work location. - For NYC based hires: Estimated annual salary of $269,000 - $360,000. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

👤 HumanFull-timeSenior

By CloudflareJul 27, 2026

AI Security Research & Red Team Engineer

Negotiable

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX About the department Cloudflare’s Research Team pursues strategic projects that have a large impact on Cloudflare systems and the Internet at large. Our focus is on solving difficult problems to connect and protect users, applications, and data, while helping to make the Internet more resilient, efficient, and transparent. In our quest to help make a better Internet, we frequently find ourselves exploring open problems at the boundaries of knowledge in scalable computing, with a focus on security and privacy, using techniques including AI/ML and performance analysis. We make cutting edge research contributions in-house, as well as in collaboration with academia, Internet standards organizations like the IETF, and more! Our team includes experts in many disciplines, including applied cryptography, privacy, network architectures and protocols, measurement, distributed systems, storage optimization, machine learning for systems, and more. We seek interns that augment our existing expertise as well as those who are working in broadly related areas. We have a vast set of potential projects focussed on our current priorities. We also welcome new ideas via concrete proposals that, more than just satisfying curiosity, may help to improve Cloudflare or aspects of the Internet and surrounding technologies touched by Cloudflare. We are, after all, researchers at heart and love learning, too! More information about Cloudflare's approach to research can be found here . What you'll do Cloudflare's Research Team solves difficult problems in security, privacy, and systems at scale. This involves engineering, data analysis, open source software development, protocol design, implementation of primitives, with lots of measurement alongside. Successful candidates will be matched to suitable projects in on-going research directions. We are particularly interested in applications in the following areas: - AI - Distributed Systems - Privacy - Trusted Execution Environments The Internet is evolving in ways that challenge convention, and many existing assumptions no longer hold. Interns and internship projects are designed to help maintain the integrity of the Internet, its systems, and its applications. Some of the fundamental areas we’re investigating focus on include advanced cryptography, hardware isolation, balancing user privacy against notions of identity, network and internetwork observability in a seemingly fragmented world, even applications of formal methods at scale — and this is just a small view into our work ! We’re also acutely aware that AI will impact all layers of a globally distributed system and the wider Internet. General Research Intern Requirements - Evidence of tackling hard or open-ended problems - Proven track record of peer-reviewed research, open-source software contributions, or standards development, that is commensurate with level of training --- students at all levels are welcome to apply - Experience clearly communicating research ideas through papers, pre-prints, standards documents, blogs, or similar media - Ability to work in a systems-level programming language (e.g. Rust, C, Go) - Passion for debugging and ensuring system reliability - Familiarity with continuous integration workflows and source control systems (e.g., Gitlab, Github) - Willing and eager to share knowledge, with the skills to do so Additional Requirements Knowledge or experience with at least one of the following: - Computer networking protocols (TCP/IP, DNS, BGP, QUIC, etc.) and related algorithms - Machine learning analysis, ideally in systems or network optimization - Authentication protocols, applied cryptography, PKI and SSL/TLS - Operating or distributed systems analysis or development - Measurement for network and computer systems - Proficiency in a scripting language, such as Python Bonus Points: - Proven track record of independently driving projects in a fast-paced environment - Experience working in groups, or with multiple stakeholders - Able to fluently work across multiple programming languages Internship Availability and Expectations: - Ability to commit to a 12 week fall internship - In office 3-4 days a week in Austin, TX What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

👤 HumanContractEntry

By CloudflareJul 28, 2026

Machine Learning Engineer (Match Group AI)

Negotiable

Match Group AI Team Introduction Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, and more. Match Group aims to spark meaningful connections for everyone, worldwide, and the MG AI team's role is to apply cutting-edge AI to some of the hardest challenges along that journey, across diverse domains (e.g., Recommendation, Trust & Safety, Profile Enhancement). Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), the MG AI team offers a unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; you'll help develop scalable AI solutions that power Tinder, Hinge and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) Working as a Machine Learning Engineer at MG AI ML Engineers at MG AI own the model and the metric it optimizes. You turn broad product goals and data into ML problems worth solving, build the models that address them, and measure their impact. Your responsibility covers the decisions around the model as much as the model itself. You choose the optimization target that translates into business results, design how the training data behind that target is collected and processed, and set the online and offline evaluation criteria that determine whether the model solved the problem. You will work across a wide range of ML problems, and the problems change as the products and the technology do. Recent examples from the team: Utility modeling: Move beyond event prediction (whether a user will like another user, whether a user will report someone) to model the utility each event delivers to users and to the system, and optimize for the utility of the system as a whole. Cold start and data scarcity: Build models that work when data is missing or thin — prototyping stages, privacy constraints, rare events — and design the loop that collects the data those models need next. LLM and agentic systems: Leverage LLMs and agentic systems in Recommendation, Trust & Safety, and Profile Enhancement, both as products in their own right and as a way to raise the performance of existing models. Generative model evaluation: Define evaluation metrics for generative models that connect to business outcomes and that the model can be optimized against. Our engineers also publish selected technical work on the Hyperconnect Tech blog (written in Korean). How to Set ML Objectives How Hyperconnect Built an LLM Explanation Policy LLM-as-a-Judge for Explanation Quality What You'll Do You own ML projects end-to-end. You work alongside other ML Engineers and carry projects from a rough goal through launch and measurement. Shape the Problem: You are given the goal in broad terms. You make it concrete: what problem the project actually solves, what falls outside it, and what technical direction it takes. Define What Success Means: Translate the goal into a metric a model can optimize, and define the online and offline evaluation criteria that determine whether the target metric improved. Design the Model and the Data Behind It: Choose the modeling approach that fits the problem and the metric you are optimizing. Design how training data is collected, processed, and fed back, so that user behavior in production becomes the data that improves the next model. Collaborate Across Teams: Work with engineers, product partners, and brand counterparts across Match Group's global offices — Seoul, Palo Alto, LA, Vancouver, Dallas, Tokyo. Keep partners outside your project team informed, and surface blockers early enough for the team to address them. Required Qualifications Project Ownership (most important): Demonstrated experience owning an ML project end-to-end, including planning and coordinating the work required to deliver a measurable result. Depth in AI/ML: A solid foundation in AI/ML with deep knowledge in at least one domain, backed by project experience in which you applied it. Problem Definition and Technical Judgment: You turn a business and technical goal into an ML problem that can be solved and measured, and you make reasonable technical choices when the information is incomplete. Data Literacy: You use exploratory data analysis to find the statistical properties and patterns in the data, and let what you find shape how you approach the problem. ML Frameworks and Tooling: Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX, and the ability to pick up new AI/ML tools quickly as the field moves. Cross-Functional Collaboration: Experience working on projects with people from other functions, and the ability to keep stakeholders outside the project aligned on its progress, key decisions, and risks. Professional Working Proficiency in English: Able to conduct business meetings and participate in complex discussions without requiring assistance. Fluent in Korean: Sophisticated professional interactions with native-level precision. Essential for cross-functional collaboration within the Seoul office. Global Operational Readiness: Ability to accommodate flexible working hours for regular early morning syncs with US teams (ET/PT). Preferred Qualifications Research Track Record: Publications at top-tier AI/ML venues (NeurIPS, ICLR, ICML, ACL, RecSys, KDD, CVPR) or awards in related competitions. Problem Discovery and Initiative: Experience identifying a problem or research direction on your own, without one being handed to you, and carrying it through to a paper or a business result. Experimentation and Causal Analysis: Designing A/B tests, defining target KPIs, and using causal analysis and SQL-based analysis to turn data into decisions. ML Systems Engineering: Software engineering capability to build the AI/ML systems around your models, such as training pipelines and serving systems. Leading Projects Across Functions: Experience leading a project that spans multiple functions, and working with stakeholders and leadership outside the project team. Fluent in English: Sophisticated professional interactions with native-level precision and an understanding of cultural nuances. Hiring Process Work type: Full-time Legal Entity: Hyperconnect / Brand: Match Group AI Recruitment Process: Resume Review > Live Coding Interview > Hiring Manager Interview > Technical Interview > Technical Deep-dive & Cultural Alignment Interview > Offer (* Please note that part of the interview process may be conducted in English) For the document screening stage, only successful candidates will be individually notified of the results. Application documents: A detailed, career-based English resume (PDF) in free format This position is open to candidates seeking to transfer as Alternative Military Service Researchers (전문연구요원). For those under this program, service management will be conducted in accordance with the relevant military service exemption laws.

👤 HumanFull-timeMid

By Match GroupAug 4, 2026

Product Manager (Match Group AI)

Negotiable

Match Group AI Team Introduction Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, etc. Match Group aims to spark meaningful connections for everyone, worldwide, and the MG AI team's role is to bring cutting-edge AI to unblock the challenges along that journey, across diverse domains (e.g., Recommendation, Trust & Safety, Profile Enhancement). Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) Working as a Product Manager at MG AI While engineers focus on building and shipping models, Product Managers at MG AI own the why and the what. We translate complex, often ambiguous business challenges from Match Group's brands into clear ML product strategy, and we drive execution across a globally distributed team. The PMs who thrive here are strategic troubleshooters with a bias for action: they spot what is blocking progress and drive it to resolution instead of waiting. This is a communication-first role, but that does not mean coordination alone. Your core job is to figure out which problem is worth solving, articulate it in clear and precise language, and drive alignment among a diverse set of stakeholders across cultures and time zones. You own the product thinking end to end: framing the problem, shaping the plan, and defining what we build. You will work on projects that leverage a wide range of technologies, from on-device ML modules to server-side AI models and LLMs. You do not need to be an ML expert on day one, but you must learn fast and become technically fluent enough to make sound product calls, because the technology and the problems keep changing. What You'll Do Frame the Problem: Figure out which problems are worth solving and why, and articulate them in clear, precise language that a diverse team can rally around. Shape the Roadmap: Decide what matters most, sequence the work, make the tradeoffs, and write PRDs, keeping partners aligned as priorities shift. Navigate Complex Stakeholder Maps: Act as the connective tissue between Match Group's brands, and the many functions within them, and MG AI engineering. Read the unspoken dynamics, build alignment across brands, functions, cultures, and time zones, and keep everyone moving in the same direction. Hands-on Execution: Stay deeply involved in the details. Use experiments, behavioral data, and research to guide your calls when signals are imperfect, unblock engineering, and make the small decisions that keep a project moving. Required Qualifications Exceptional Communication & Stakeholder Management (most important): You excel at managing stakeholders in complex, high-ambiguity situations. You read between the lines, sense interpersonal and organizational dynamics, and build alignment across teams with competing priorities. This is the single most important quality for this role. 4-6 years of product management experience in the Tech domain, ideally on complex systems or data or ML-driven products. Fast Learning Curve & Strong Will to Learn: You do not need to be ML-savvy today, but you must ramp quickly and become technically fluent enough to shape direction on model behavior and tradeoffs without needing to be deeply technical. Fluent in English (Able to conduct business meetings and participate in complex discussions without requiring assistance.) Fluent in Korean (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.) Essential for cross-functional collaboration within the Seoul office. Strong Ownership & Bias for Action: A track record of driving problems to resolution without waiting for permission. You are comfortable operating with ambiguity and making principled calls when the signals are imperfect. Analytical Rigor: Comfort with data. You can define metrics, design and read experiments, and let evidence guide your decisions. Global Operational Readiness: Ability to accommodate flexible working hours for regular early morning syncs with US teams (EST/PST). Preferred Qualifications A Point of View on AI Tooling: A clear sense of how AI tools can raise the quality and speed of product work, and a habit of using them (e.g., Claude, ChatGPT, Cursor). ML Product Experience: Exposure to ML-driven products (Recommendation, Search, Ranking, or Trust & Safety) and a working understanding of the ML lifecycle, from data to online A/B testing. Matching Products Experience: Experience with products that match people or content (e.g., dating, marketplaces, social feeds, or hiring). Internal Platform / B2B2C Experience: Success in a role where your primary customers were other internal business units or engineering teams. Cross-functional Collaboration: Experience working with diverse, globally distributed teams and organizations.

👤 HumanFull-timeSenior

By Match GroupJul 27, 2026

Machine Learning Software Engineer (Match Group AI...

Negotiable

Match Group AI Team Introduction Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group’s global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, etc. Our mission is to solve the most complex challenges in online dating (e.g., Recommendation, Trust & Safety, Profile Enhancement) by bridging cutting-edge AI research with excellent software engineering. Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) Working as a MLSE at MG AI While ML Engineers focus on modeling, Machine Learning Software Engineers (MLSEs) at MG AI team focus on the critical bridge between research and production. We ensure that state-of-the-art models (including LLMs and Multimodal systems) are integrated into high-traffic environments, serving millions of users in real-time. We also upload a selection of interesting problems solved by our team's engineers to the Hyperconnect Tech blog (written in Korean). On-device AI Face Verification Pipeline Optimization 10 Python Performance Optimization Tips for High-Performance ML Backends What You’ll Do Build ML Services: Design and develop backend services and distributed systems that enable the seamless consumption, scaling, and monitoring of ML models. Build ML Pipelines: Design and develop ML serving pipelines (real-time and batch) to deliver model outputs with low latency and high reliability. Improve Recommendation System: Improve the AI-powered personalized recommendation system to help users find better matches on Match Group’s dating apps (serve better retrieval/ranking/utility models, add better features, etc). Co-Engineering with Brands: Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Match, Azar, Pairs, etc.) across various global offices, including Seoul, Palo Alto, LA, Vancouver, Dallas, and Tokyo. Required Qualifications 2+ years of experience in software engineering, with a focus on Backend, ML Engineering, or Data Engineering. Strong understanding of CS Fundamentals (data structures, algorithms, operating systems) and distributed system design. Proficiency in at least one modern programming language (e.g., Python, Go, Java, Kotlin, C#) and a "polyglot mindset" to adapt to new stacks quickly. A strong interest in how ML models are built and a passion for solving the engineering challenges of deploying them in the real world. Proficiency in leveraging AI-powered tools (e.g., Claude Code, Codex, Cursor) to accelerate productivity. Professional working proficiency in English. (Able to conduct business meetings and participate in complex discussions without requiring assistance.) Fluent in Korean (Sophisticated professional interactions with native-level precision): Essential for cross-functional collaboration within the Seoul office. Preferred Qualifications Experience with the full ML lifecycle, from model training to production deployment. Experience in building AI-based recommendation system. Experience in developing scalable backend servers (handling millions of users). Experience in developing and serving ML-driven services using frameworks such as vLLM, Triton, Ray Serve, or Seldon. Experience with big data or stream processing frameworks (e.g., Spark, Flink, Kafka) for building robust ML data pipelines. Experience in collaborating with cross-functional teams and diverse organizations. Fluent in English (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.)

👤 HumanFull-timeMid

By Match GroupJul 27, 2026

Working Student – Legal Operations & AI Automation

Negotiable

Lovehoney Group is the world’s leading sexual wellbeing company, with the mission to elevate pleasure through innovative technologies, a data-driven approach, and foster creative and fresh perspectives on intimacy. We offer exciting brands with innovative, high-quality sex toys, lingerie, and accessories in a streamlined online shopping experience. At Lovehoney, we employ over 800 passionate and progressive individuals across 11 global offices, each person contributing a unique blend of talents to our diverse workforce. We are proud to be a company that thrives by doing things differently, challenging expectations and stereotypes while making a positive impact on our customers’ lives. Join us at Lovehoney, where pleasure combines with creativity, data, and innovation! We are currently looking for a Working Student – Legal Operations & AI Automation (m/f/d) who will be integral to driving efficient and scalable legal processes across Lovehoney Group. Partnering directly with the Legal team, your focus will be on supporting and improving our contract review workflows and helping to shape AI-driven solutions for legal operations. In this role, you will combine your appreciation for technology and process efficiency with your capacity for creative problem-solving. You will develop skills crucial to advancing in a competitive, fast-paced retail environment, all within a company that values initiative, innovation, and results. What you will do Manage administrative aspects of the contract review process (e.g. ticket creation, e-signatures, filing, deadline tracking). Support the development and improvement of AI-based automation for legal and contract workflows. Collaborate with Legal, IT and other teams to identify and implement practical, scalable solutions. Provide ad hoc administrative support to the Legal team. What you should bring Enrollment at a university for the full duration of the contract (minimum 6 months). Strong interest in AI tools and automation, including hands-on experience with prompting. Affinity for digital tools and structured, detail-oriented working style. Problem-solving mindset with a proactive and curious approach. Good communication skills and ability to work with different teams. Experience in admin, tech, operations or legal is a plus (but not required). What we can offer you A welcoming workplace full of drinks, snacks, friendly faces and fun team-building events. Access to unique discounts at high street retailers, hotels, and service providers, in addition to a 50% discount on all Lovehoney products to explore and discover new ways to have fun. Access to customized training opportunities to support your unique learning journey, complemented by biannual feedback cycles, offering valuable insights into your performance and growth areas, enhancing your development within the company. Recognising the significance of physical and mental health, we proudly provide gym benefits in addition to a mental wellbeing platform, to ensure our employees thrive both professionally and personally. Stay secure at work and at home with a complimentary 1Password Family account. All Lovehoney Group employees can invite up to five family members to join, offering your household a safe and simple way to manage passwords and sensitive information safely and easily. Our interview process CV review Interview with one of Talent Acquisition Team Members Hiring Manager Interview

👤 HumanFull-timeMid

By Lovehoney GroupJul 31, 2026

Ecommerce Photographer & AI Image Creator

Negotiable

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Software Engineer on the Communications team, you will work on real-time communication across 2D and 3D spaces for billions of users while keeping interactions civil, safe, and expressive. Communication is at the core of what makes Roblox a vibrant social platform, the systems you build will define how tens of millions of people connect every day. You will work with teams across Game Engine, Safety, and ML Platform, building backend services at scale, data pipelines, and ML models that strengthen the underlying chat and policy infrastructure. You will build and ship detection systems that identify chat violations and continuously evolve to outpace bad actors circumventing our safety policies. As a core contributor to a broader suite of communication products, you will drive feature development while embedding safety into the foundation of the platform. If you are a developer with an understanding of large scale systems and want to shape how the next generation of Roblox users interact safely in the metaverse, you’ll be right at home within our highly-skilled and rapidly growing team. You will: - Engineer and scale the communication infrastructure that supports millions of concurrent users, architecting highly reliable systems that keep chat civil, proactively detect violations using machine learning models and data pipelines, and define how people connect on Roblox. - Work with cutting-edge ML—model tuning and prompt engineering—to build safe chat experiences that are novel even by industry standards. - Contribute as needed to the full spectrum of communication product development, from core infrastructure and safety systems to user-facing features. - Introduce and improve our processes to help us be more effective and efficient. - Enforce high quality standards while we iterate on feature development. - Collaborate with other engineering and product teams (Game engine, Creator, Trust & Safety to name a few) at the company to push the boundary of what is possible - Self-organize and take ownership of projects throughout its full lifecycle. You have: - Experience in backend software development - 2+ years industry experience building and supporting ML systems in a production environment. - Hold a Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field. - Experience collaborating with backend engineers on client/server design and architecture for high-scale products, including knowledge of performance principles like caching and modern technologies. - Experience collaborating with cross-functional partners in Product, Design, and Data Science to drive meaningful results that align with the team's overarching vision You are: - Responsible : you build systems that work and keep on working reliably. You are thorough in your designs, rigorous in handling potential failure cases, and diligent in automated testing. - Analytical : Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. - Creative : You take a creative and strategic approach to solving hard problems and driving new tools/functionality for our end users and game developers - Team-oriented : You are able to work well as part of a team and know how to collaborate with all participants to develop the best solutions. Able to write clear design specs, mentor junior engineers, and guide projects from beginning to end - Data-driven focused on quality metrics and monitoring Bonus: - Experience building communication products and features. - Experience working closely with design, strong design interest/background. - Experience with LLMs - Experience using big data query/processing languages and tools such as SQL, Hive, Spark and Airflow - Experience of test driven development. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $153,120 - $196,750 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

👤 HumanFull-timeMid

By RobloxJul 31, 2026

Machine Learning Programmer, Memory

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase's Compliance organization manages regulatory obligations across products, operations, and growth — spanning transaction monitoring, sanctions screening, regulatory change management, and exam readiness across 60+ global entities. This role sits directly inside the Office of the CTO, embedded as a founding engineer within Compliance. You'll identify high-value workflow opportunities, rapidly prototype solutions using Coinbase's existing AI platform, and drive measurable adoption of AI tooling across the Compliance org. You'll be the connective tissue between Compliance stakeholders and the engineering teams who maintain Coinbase's AI platform, acting as advocate, translator, and builder in one. What you'll do: - Embed with Compliance leadership and frontline teams to surface the automation opportunities with the greatest business leverage — developing ground-level understanding of workflows like transaction monitoring, sanctions screening, regulatory change management, and exam preparation. - Prototype quickly and pragmatically using Coinbase's existing AI platform as the default foundation before recommending net-new builds. - Own the Compliance automation roadmap in partnership with the Chief Compliance Officer and Compliance leadership, translating complex regulatory workflows — case resolution, trade surveillance, risk assessment, policy management — into engineering requirements and engineering constraints back to stakeholders clearly. - Define the build-vs-buy strategy for Compliance tooling, evaluating what Coinbase should build internally, adopt from partner teams, procure from vendors, or retire. - Ensure every automated compliance output is traceable, reviewable, and defensible to regulators — with auditability, approval gates, evidence retention, and human-in-the-loop controls as first-class design concerns, not afterthoughts. - Drive adoption through brown-bags, prototype walkthroughs, and feedback loops that bring Compliance teams along on the journey and ensure tools actually get used. Required Skills and Experience: - 5+ years of software engineering experience with a demonstrated ability to ship production systems in ambiguous, stakeholder-heavy environments, with greenfield experience a strong plus. - Hands-on experience deploying LLM-based applications, including prompt engineering, evaluation frameworks, hallucination guardrails, and human-in-the-loop design for high-stakes compliance outputs. - Proven ability to embed with non-technical domain experts, rapidly internalize complex workflows, and translate them into engineering requirements. - Familiarity with compliance and regulatory systems concepts: transaction monitoring, sanctions screening, regulatory filing workflows, case management, and audit-ready data handling. - Familiarity with multi-agent orchestration concepts including how agent systems handle handoffs, escalation, and auditability. - Experience in a Forward Deployed Engineering, Solutions Engineering, or embedded technical advisory capacity, ideally in compliance-tech, RegTech, or financial services environments. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Job ID: #P77745 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

👤 HumanFull-timeRemoteExpert / Staff+

By CoinbaseJul 31, 2026

Staff Machine Learning Engineer, AI R&D

Negotiable

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI R&D team is at the core of Robinhood's product intelligence. Our mission is to build and scale high-impact models that power personalization, search, social feeds, fraud detection, and risk management for millions of Robinhood users. We operate as a cross-functional partner to growth, product, and data engineering—translating complex financial data into intelligent systems that make Robinhood smarter for every customer. We move fast, raise the bar, and care deeply about building things that matter. If you've ever wanted to solve personalization problems no one else has cracked—in one of the most data-rich, regulated industries on the planet—this is the team for you! As a Staff Machine Learning Engineer on the AI R&D team, you will own the design and delivery of sophisticated personalization and recommendation systems that directly shape what millions of users see and do on the Robinhood platform. You'll be a technical anchor on a growing, high-caliber team — collaborating with product, data engineering, and fellow ML engineers to take ambitious ideas from zero to one and into production at scale. You'll help define the team's technical direction, mentor engineers, and push the frontier of what's possible when you apply modern ML — including agentic workflows and LLM fine-tuning — to real financial data. This role offers a rare combination of technical depth, product impact, and the satisfaction of building systems that genuinely don't exist anywhere else. This role is based in our Menlo Park, CA and Bellevue, WA offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. WHAT YOU'LL DO - Design, build, and ship end-to-end personalization, ranking, and recommendation systems that power core Robinhood products including growth, social feeds, and search — handling the full ML lifecycle from feature engineering through model deployment and monitoring. - Partner closely with product, data engineering, and platform teams to define technical strategy, scope complex projects, and drive execution across multiple workstreams simultaneously. - Lead zero-to-one development of new ML capabilities — prototyping, iterating, and scaling models in a high-stakes fintech environment where data quality and regulatory constraints are first-class concerns. - Evaluate, experiment with, and integrate modern AI paradigms including agentic workflows and LLM fine-tuning into existing ML systems, pushing the team's technical capabilities forward. - Set the technical bar through architecture reviews, code reviews, and mentorship — helping to elevate the craft and velocity of the broader AI R&D team. WHAT YOU BRING - 10+ years of experience as a Machine Learning Engineer, with a strong foundation in ML fundamentals (ranking, recommendation systems, deep learning, optimization) and a track record of shipping models to production at scale. - Demonstrated expertise in personalization and recommendation systems — specifically, experience owning these systems end-to-end in a high-traffic, data-rich environment (fintech, e-commerce, social, or equivalent). - Proven ability to deliver projects from zero to one: you've taken ambiguous, high-impact problems and built production-grade solutions with measurable results. - Exposure to or hands-on experience with agentic systems, LLM fine-tuning, or other modern AI paradigms — and the technical judgment to know when (and when not) to apply them. - A Master's degree in Computer Science, Statistics, or a related technical field, or equivalent professional experience; strong coding skills in Python and familiarity with ML infrastructure tooling. WHAT WE OFFER - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more - Employer-paid life & disability insurance, fertility benefits, and mental health benefits - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $255,000 - $300,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $225,000 - $264,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $199,000 - $234,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

👤 HumanFull-timeExpert / Staff+

By RobinhoodJul 28, 2026

Senior Product Manager, Ads - Shopping Catalogs

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Team: Shopping at Reddit is one of the company's biggest bets. Shopping is core to Reddit's monetization strategy and Dynamic Product Ads (DPA) is one of our fastest-growing verticals. The Shopping product org has end-to-end ownership of how advertisers and Redditors interact with products and purchasing decisions. Our strategy is built on Reddit's unique strength - authentic, community-generated content. The Opportunity: The Product Catalog is the single source of truth for product data across paid and organic Shopping. It powers paid and organic shopping products and the Product Knowledge Graph (PKG). We're hiring a Product Manager to own Catalogs and Applied PKG end-to-end. The aspiration is to turn this asset into a platform that drives ROAS and powers product discovery across Reddit. This role sits at the intersection of advertiser tooling, product & content understanding and user experiences. You will partner deeply with the Catalogs engineering team, the Ads Content Understanding (ACU) team, and the Shopping product team across performance, formats and more. What You'll Do: - Cut advertiser onboarding friction and prepare for the next phase of Shopping @ Reddit. Move catalog onboarding from days to hours through better error handling, automated feed-issue resolution, productID/item-group-ID matching improvements, and (longer-term) URL-to-catalog automation. Stand up the foundations of a Reddit Merchant Center. - Ship the next phase of catalog innovation. Drive LLM-based catalog enrichment (fill missing attributes, improve descriptions, derive gender/age/category), catalog-driven ad overlays ("Popular with Redditors", "Top Pick", price/promo), and Catalog Insights that show advertisers how their products perform organically and paid on Reddit. Help advertisers with catalog diagnostics to improve performance on ads and organic offerings. - Own the Catalogs & Applied PKG vision. Define the 1–3 year strategy that turns Catalogs into a platform - the spine connecting Reddit's paid and organic Shopping surfaces - Unlock new advertiser demand through catalog capabilities. Land Limitless Catalogs (20M+ product catalogs for large retailers and marketplaces), regional metadata for global clients, and the Shopify integration that expands SMB Shopping on Reddit. - Build the Universal Catalog and Applied PKG. Collaborate with content understanding teams to connect ad catalogs to the Product Knowledge Graph and organic product mentions on Reddit. - Be the Shopping platform voice across Reddit. Represent Catalogs and Applied PKG in Shopping leadership reviews and exec readouts. What You Bring: - Experience: 5+ years of Product Management experience. At least 3 years in AdTech, retail media, marketplaces, or shopping/e-commerce platforms. - Commerce / Product Understanding : Experience with product knowledge graphs, product entity resolution, or product taxonomies at scale. An understanding of how digital shopping works across either organic or paid products. - AI fluency. Comfortable with creating scalable agentic workflows, using AI for data analysis, task automation and more. Evidence of building AI products - either at work or as hobby. - 0-1 instincts paired with execution rigor. You can scope an MVP, ship it, and then operate it. You've done both - built net-new and improved a running production system. - Cross-functional leadership. You've delivered initiatives that span 3+ engineering teams plus PMM, Sales, and Ops. You communicate effectively with executives and earn trust with senior engineers. - Bias to action. Comfortable making decisions with imperfect information, making reasonable risk/reward tradeoffs, and recovering fast when wrong. Nice to Have: - ML fluency. You've shipped ML-powered products in ads, content personalization, retrieval, ranking, or content understanding. You can reason about retrieval, candidate selection, ranking signals, and the tradeoffs between LLM-derived features and traditional features. You don't need to write the model; you need to know enough to lead the people who do. - Experience with LLM-driven content understanding or feature engineering. - Experience shipping for SMB-via-platform channels (Shopify, WooCommerce, BigCommerce). - Experience building or operating a Merchant Center, catalog QA tool, or advertiser-facing data console. Perks and Benefits: - 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) - Competitive salary and equity options - Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc) - Generous 401k matching - Flexible vacation policy - Paid parental leave (4+ months) - Family planning support - Paid volunteer time off LI-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

👤 HumanFull-timeRemoteSenior

By RedditAug 11, 2026

Staff Android Engineer, Brand Ad Formats

Negotiable

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the Team: The Brand Ad Formats team drives the development of ad formats that help advertisers maximize reach and brand impact. They focus on high-visibility, awareness-driven solutions that create memorable experiences for Reddit users. By delivering guaranteed placements and engaging ad interactions, they support major brand initiatives and help advertisers achieve measurable outcomes. The team is building fully customizable interactive formats and AI-driven ads that incorporate User-Generated Content (UGC). Moving forward, we will be doubling down on Video Ads , with the goal of turning Reddit into an industry leader and a ‘must buy’ for advertisers to promote video content. As a Staff Android Engineer , you will lead the technical strategy to turn Reddit’s Video Ads into a premier offering for brand advertisers. You will also build and provide technical guidance on new reddit-unique ad formats on Android, ensuring they are high performance, high quality and scalable. What you’ll do: - Video Ads Tech Lead: Partner closely with Product and Design to build a roadmap that will transform our Video Ads format into an industry leader in the space, and drive the technical design and execution of projects that turn the roadmap into reality. - Technical Strategy: Provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews. - Full-Cycle Leadership: Drive the entire development lifecycle—from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment. - Raise the Bar: Mentor senior engineers across teams in ad formats and establish best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers. What we expect from you: - 8+ years of software engineering experience (Staff level seniority). - Android Mastery: (Minimum of 3+ years) Deep expertise in Kotlin and modern Android architectural patterns. Completed 4+ Android development projects from ideation to deployment in production. - Prior experience in Ad Tech , building highly interactive/rich-media mobile experiences. - Product Mindset: Proven track record of delivering user-facing features where UI polish and performance are critical. - System Design: Ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems. - AI : Experience leveraging GenAI tools to increase software engineering productivity. - Experimentation/Analysis: Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc. - Versatility: An openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration). - Entrepreneurial spirit: You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity. - Excellent communication skills: You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences. - An experienced technical leader with a strong track record of mentoring and uplifting team members technical skills and aptitude. - Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team. - BS degree in Computer Science, similar technical field of study, or equivalent practical experience. Bonus points: - Experience working on Video Ads - Experience working at a scaled peer company - Experience with Jetpack Compose Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave LI -Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 - $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

👤 HumanFull-timeRemoteExpert / Staff+

By RedditAug 12, 2026

Technical Sourcer, AI

Negotiable

At Perplexity, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Technical Sourcer, you will be at the forefront of shaping the talent foundation that fuels our growth. The role of a Sourcer has changed in the world of recruiting and AI today–we’re looking for someone who has strong foundations in sourcing but is already ahead of the curve in redefining this function. - Grit: You know your pipelines inside & out. You understand where you need to build momentum and how much horsepower to put behind it. - Taste: You have a deep understanding of the tech landscape–knowing which companies hold high talent bars to what’s going to be the “next big thing” in the industry (before anyone else sees it coming). - Experiment: Every role and search is different, and your approach isn’t a one-size-fits-all. One role you might be running SOBOs, another you’ll dive deep into authors of published papers from top conferences. WHAT YOU'LL DO - Research, identify, and engage engineering and technical talent across multiple disciplines and experience levels - Use a wide range of sourcing strategies, including advanced research, talent mapping, referrals, AI-assisted automation, and creative outreach, to build strong candidate pipelines. - Collaborate with recruiters and hiring teams to deeply understand technical requirements and calibrate profiles with accuracy and nuance - Track and analyze pipeline data to drive continuous optimization and improvements in sourcing approaches - Operate with agility, adapting quickly to shifting priorities, hard-to-fill roles, and changing team needs WHAT YOU BRING - Exceptional technical literacy, comfortable navigating complex technical conversations, parsing nuanced skill sets, and understanding the architecture of software and AI roles - Proven experience sourcing talent in highly dynamic and fast-paced environments where priorities shift and ambiguity is constant - A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make sourcing faster and sharper - Creativity and resilience: the ability to design novel sourcing strategies, test new methods, and adapt quickly when faced with challenges - Excellent communication skills, with the ability to build trust and develop relationships with both candidates and internal partner teams - A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity AI's ethos of building what has never been built before

👤 HumanFull-timeMid

By PerplexityAug 12, 2026

Technical Recruiter (London, Serbia)

Negotiable

At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Recruiter, you will be at the forefront of shaping the talent foundation that fuels our growth. This is not a traditional Recruiting role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks. What You'll Do - Full-cycle recruitment for engineering and research roles across EMEA Search, AI and Infrastructure - Build outbound first pipelines: advanced research, talent mapping across frontier labs and academia, referrals, AI-assisted automation, and creative outreach - Partner with hiring managers and engineers to calibrate profiles with accuracy and nuance, and to sharpen the bar as our teams evolve - Act as a candidate's first introduction to Perplexity, telling an authentic and compelling story about our mission, product, and culture - Track and analyze pipeline data to continuously improve sourcing strategy, and build your own tooling where off-the-shelf falls short - Operate with agility as priorities shift hard-to-fill roles, new pillars, and compressed timelines are the norm What You Bring - 4 years of full-cycle technical recruiting experience - A sourcing-first track record: you fill hard roles through outbound and talent mapping - Strong technical literacy comfortable, holding credible conversations with senior engineers - A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make recruiting faster and sharper - Excellent communication and relationship-building skills with candidates, hiring managers, and cross-functional partners - A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity's ethos of building what has never been built before

👤 HumanFull-timeMid

By PerplexityAug 13, 2026

Senior Content Manager

Negotiable

Perplexity is revolutionizing search. We are seeking a Senior Content Manager to join our team and work closely with Growth, Enterprise, Support, and Product. You will lead our content strategy, development, and copywriting. We want to create a brand that — if you want to build the foundation of content from 0 to 1, have a passion for AI, and love writing, this role is for you. Responsibilities - Create exceptional and captivating content across Consumer and Enterprise use cases, including email copy, social media posts, in-product copy, support pages, FAQs, video scripts, case studies, white papers, outbound emails, onboarding guides, and blog posts - Develop a unique voice and tone for written content at Perplexity that drives word-of-mouth growth and builds an engaged following - Identify content opportunities and novel ways to engage with our user base by leveraging user generated content in Perplexity and testimonials across social media - Synthesize complex AI-related topics and feature releases into understandable and digestible copy for a non-technical audience - Manage content calendars for external communication across email, newsletter, and social media - Track content performance via Google Analytics and internal data; analyze and optimize engagement metrics of your content - Work closely with our Design and Brand teams to adhere to current guidelines Qualifications - 4+ years of content writing and strategy experience, ideally at a consumer technology brand - World-class writing, editing, and proofreading skills with a unique voice and tone - Extreme attention to detail paired without sacrificing fast-paced execution - 0-to-1 development of B2B content marketing, newsletters, blogs, and company content - Experience with international brands and multiple languages

👤 HumanFull-timeSenior

By PerplexityAug 12, 2026

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