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Location: Remote About the Team Netlify is a product-led growth company with an unusually large organic top-of-funnel, where tens of thousands of people discover and sign up for Netlify every day. That organic motion is real and meaningful, but paid acquisition is a new investment area for the marketing team, and there's a clear opportunity to build that capability from the ground up. As Senior Manager, Demand Generation & Performance Marketing, you'll own paid acquisition end to end - strategy, channel selection, budget, and the agency relationship that supports execution. You'll report to the CMO, with a planned transition to the VP of Growth Marketing as that function scales, and work closely with Marketing Operations, Data, Lifecycle, and Campaigns to make sure paid-acquired users don't just land, but convert and stick. This is a builder role at a company where the organic foundation is already strong, and your job is to build the paid layer that extends its reach. What You'll Do Build and own Netlify's paid acquisition strategy end to end, including paid search, paid social, retargeting, sponsorships, and any other channels worth testing and proving out. Own the call on where paid creates incremental value for Netlify. Design the tests, prove which channels and audiences drive growth our organic funnel wouldn't have delivered anyway, and decide where to scale, where to hold, and where not to spend at all. Manage the agency relationship(s) supporting paid/performance work by setting the brief, holding the agency accountable to targets, and deciding what to bring in-house as the function matures. Own budget planning, pacing, and ROI reporting for all paid spend, and make the case for where to double down or pull back. Partner with Marketing Operations to get attribution and UTM tracking right before scaling spend, so every dollar is measurable. Define target audiences and channel mix aligned to Netlify's ICP; partner with Product Marketing on messaging inputs for paid creative. Build the measurement framework for CAC, signup/pipeline contribution, and payback by channel. Partner with Lifecycle and Campaigns to make sure paid-acquired users flow into the right onboarding and activation journeys, not just land and drop off. As the program proves out, build the roadmap and case for a fully staffed paid/performance team. What You'll Bring 6+ years in demand generation or performance marketing, with direct ownership of a paid acquisition budget in a B2B SaaS or product-led growth environment Hands-on experience running paid search, paid social, and retargeting programs yourself - not just briefing agencies or reviewing their reports A track record of standing up or significantly scaling a paid acquisition program at an early stage, where you had to build the infrastructure and not just optimize what was already there Experience managing an external agency or partner relationship, including setting performance expectations and holding partners accountable to them Working knowledge of attribution and marketing measurement, and a history of partnering with Marketing Ops or Data teams to get tracking right before spend scales Some experience marketing to developers or technical audiences, or with a PLG motion where paid acquisition runs alongside a large organic and self-serve funnel This Role Is a Great Fit If You're energized by building and scaling a new paid program, not just optimizing one that's already mature. You think like an owner of budget and outcomes, not just a briefs-and-reports manager of an agency. You're comfortable moving between strategy (channel mix, targeting, budget allocation) and getting into the details yourself when it matters. You care about attribution being right before spend scales, not as an afterthought. You want to build in close partnership with Lifecycle, Campaigns, and Marketing Ops rather than run paid as a separate lane that hands off a spreadsheet at the end of the quarter Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $150,000 - $200,000  for most US-based locations. Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Location: New York; San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for an experienced recruiter to help us scale our marketing org. You'll work closely with hiring managers and marketing leadership to build out the team across every function, from product marketing and demand gen to content, brand, and events. You'll own ambitious hiring goals and get deep on our product and the AI infrastructure space, so you can speak credibly to candidates about what we build and why it matters. RESPONSIBILITIES - Full-cycle recruiting: Own Marketing's hiring goals and process, from role kickoff through offer acceptance - Sourcing: Work with hiring managers to define what "excellent" looks like for each role, then build pipelines through targeted sourcing and creative outreach - Candidate experience: Partner closely with recruiting coordination on delivering an exceptional candidate experience, from first reach out to offer close - Process improvement: Refine and scale our recruiting process to move faster while keeping a high bar REQUIREMENTS - 3+ years of full-cycle recruiting experience, ideally at a fast-growing startup with big headcount goals - Experience hiring across marketing functions (e.g. product marketing, demand gen, growth, content, brand, events) - Experience recruiting for a technical product, ideally developer tools, infrastructure, or AI - Ownership mindset: you take responsibility for a team's hiring goals and fix what's slowing you down - Strong organization, with the ability to run multiple searches at once - Clear, direct written and verbal communication BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); Portugal (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Mauritius (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Bosnia and Herzegovina (Remote); Poland (Remote); Uruguay (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Web Dependability Engineering team, you'll make sure websites just work in DuckDuckGo's browsers across Mac, Windows, iOS, and Android, helping ensure our users have the best-possible experience browsing with DuckDuckGo. Recent projects include: - Reverse-engineering how sites detect our privacy protections and building countermeasures that keep pages working - Shimming browser APIs so sites work seamlessly across different browser engines and system webviews - Building LLM agent pipelines that automatically reproduce and triage reported site breakage   As a Senior Web Compatibility Engineer, you'll be our resident expert on why websites break and how to fix them: owning the webcompat side of our triage process, debugging gnarly issues in code you don't control, distinguishing site bugs from browser bugs from privacy protection-induced breakage, leading the charge when a top site breaks and becomes an incident, shipping durable fixes across every platform, and work on related projects that prevent user churn and keep users coming back to DuckDuckGo. ABOUT YOU - 7+ years of experience building and debugging complex web applications with vanilla JavaScript. - Detailed knowledge of web standards, web components, and browser APIs. Any additional experience with our stack is a bonus: Swift/Kotlin/C#/C++/Python. - Advanced ability to reverse-engineer obfuscated third-party code and reduce issues to minimal test cases. - Passion for hunting elusive bugs and tracing them to their root cause. - Interest in automating repetitive work and building agentic tooling that multiplies the team's impact. - Experience triaging issues, leading incident response, and communicating clearly with technical and non-technical stakeholders. - Experience shipping code beyond the web, like native or desktop clients. - Ability to lead complex, ambiguous projects with little to no oversight. COMPENSATION Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation, plus stock options: - United States: $190,500 USD - United Kingdom: £134,600 GBP - Canada: CA$253,500 CAD - All other regions*: €157,350 EUR *Team members outside the US, UK and Canada are currently paid $178,500 USD. Pay converts to the EUR amount above on January 1, 2027 for Spanish team members, and approximately February 1, 2027 in all other regions. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

Обязанности: — Нанимать инженеров, которые создают роботов: робототехнический ИИ (VLA), манипуляция, аппаратное и программное обеспечение — Самостоятельно исследовать рынок и напрямую выходить на кандидатов — Привлекать лидеров для следующего этапа развития компании, включая роли в офисе CEO, такие как Head of Delivery — Формировать команды, которые превращают робота в бизнес: производство, цепочка поставок, финансы, продажи, ИТ и безопасность Требования: — Право на работу в Великобритании Будет плюсом: — Опыт закрытия позиций директора и вице-президента в executive search или in-house Условия: — Базовая зарплата £90k-100k + бонус за каждого закрытого кандидата — Более 30 оплачиваемых дней отпуска — Частное медицинское страхование — Пенсия 8% — Завтрак, обед и перекусы в офисе Дополнительная информация: — Работа в офисе 5 дней в неделю, контракт по UK

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); India (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Privacy Functional Team, you'll lead complex projects across key company-wide objectives. You'll protect the privacy of our users using Go, Node.js, Python, and (sometimes) Perl to write pragmatic, performant, testable code, and work on related projects. Potential projects include: - Designing systems for improving our search indexes and AI features without compromising user privacy - Building new features on top of our Tracker Radar https://spreadprivacy.com/duckduckgo-tracker-radar/ crawler to detect emerging privacy threats - Implementing new privacy features and maintaining existing ones, such as our Web Tracking https://duckduckgo.com/duckduckgo-help-pages/privacy/web-tracking-protections and Email https://duckduckgo.com/duckduckgo-help-pages/email-protection/privacy Protections   As a Senior Privacy Engineer, you'll own major components of our privacy technology, taking responsibility for their maintenance and improvement over time. A key part of the role will also be participation in our privacy review and audit processes, ensuring that all product developments align with our privacy principles. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Privacy Team at DuckDuckGo. ABOUT YOU - Ability to lead and collaborate on high-impact and complex projects from proposal through post-mortem. - Skills to wrangle vague problems, propose innovative solutions, and execute them effectively, involving others when necessary. - Experience working on privacy solutions in an engineering capacity (e.g. tracker blocker, differential privacy, or similar technology). - Deep technical understanding of online privacy threats and the existing solution space to protect against them. - Proficiency in any of the following: Go, Node.js, Python, Perl. - Excellent communication skills. You can validate your decisions and communicate them clearly to a variety of audiences, including non-technical stakeholders. COMPENSATION $178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

Location: Melbourne, Victoria, Australia Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities: Enforce and enhance the company’s anti-money laundering framework, ensuring processes are robust and aligned with regulatory best practice. Operate within agreed service levels and KPIs, balancing regulatory obligations with business efficiency. Conduct targeted risk reviews and assessments to identify vulnerabilities and recommend actionable mitigation strategies. Record, escalate, and report suspicious transactions or activities promptly, ensuring accuracy and timeliness. Partner with internal stakeholders and external bodies to ensure coordinated responses to financial crime risks. Stay current on AML rules, regulations, and industry trends to anticipate changes and guide internal updates. Use analytical tools and digital techniques to identify patterns, trends, and anomalies in client behavior. Requirements: 1–2 years’ experience in AML, onboarding, or back-office functions within the brokerage, trading, or wider financial services industry. Proficiency in data analysis (Excel and similar tools), with strong statistical and reporting abilities. Sharp judgment and a practical approach to resolving compliance and risk challenges. Clear, concise, and structured communication skills, with the ability to present findings to stakeholders. High accuracy and thoroughness in assessing data, identifying risks, and completing regulatory reports. Business-level proficiency in English (B2 CEFR or higher). What Will You Get in Return? • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Задачи: — Разработать SEO-стратегию для рынков США, Европы и России; — Собрать и приоритизировать семантику и поисковые сценарии; — Сформировать архитектуру раздела статей, topical map, кластеры и internal linking; — Сформировать контент-план на основе поискового спроса и конкурентного анализа; — Работать с копирайтером/редактором: ТЗ, контроль качества, оптимизация и обновление материалов; — Развивать ссылочную массу: outreach, placements, digital PR, качественные mentions; — Увеличивать topical authority и цитируемость проекта; — Проводить технический SEO-аудит и ставить задачи разработке; — Работать с Google Search Console, GA4, Ahrefs/Semrush, Яндекс Метрикой и аналогичными инструментами; — Анализировать позиции, CTR, индексацию, engagement и конверсии из organic; — Развивать присутствие проекта не только в классическом поиске, но и в AI Search / LLM citations: ChatGPT, Google AI Overviews, Perplexity и др.; — Регулярно формировать понятный план работ и оценивать влияние SEO на бизнес-метрики. Требования: — Несколько лет практического SEO-опыта и проекты с подтверждаемым ростом; — Сильный опыт продвижения англоязычных сайтов в Google на рынках США/Европы; — Практическое понимание SEO в Яндексе; — Глубокая экспертиза в content SEO и построении больших контентных структур; — Практический опыт link building / outreach / digital PR; — Хорошее понимание technical SEO; — Уверенная работа с GSC, GA4, Ahrefs/Semrush и Яндекс Метрикой; — Английский, достаточный для исследования англоязычной выдачи, конкурентов, контента и работы с международными площадками; — Понимание E-E-A-T, YMYL и требований к контенту в чувствительных тематиках; — Понимание современных изменений поиска, связанных с AI Overviews и LLM; — Способность самостоятельно принимать решения, приоритизировать гипотезы и отвечать за развитие organic-канала. Большим плюсом будет: — Опыт в psychology, relationships, wellness, health, education или других тематиках, где особенно важны доверие, экспертность и качество контента. Условия: — Удалённо, part-time, ориентировочно 15-20 часов в неделю; — Гибкий график; — Бюджет на контент, ссылки и необходимые SEO-инструменты — отдельно. Зарплата: — 120 000 - 180 000 рублей в месяц в зависимости от опыта и уровня самостоятельности.

Location: Lisbon Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed Backend/DevOps Engineer - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to.   WHY THIS ROLE MATTERS In this role, you are the backend and infrastructure backbone defence and intelligence customers rely on. You deploy ICEYE's intelligence platform into secure (often air-gapped) environments and design the high-performance backend systems that move satellite data at scale — fast APIs, resilient services, tuned databases, automated infrastructure. Our stack: Python and Go services on Kubernetes, PostgreSQL and MongoDB, Terraform and Ansible, CI/CD pipelines that also run offline, cloud (AWS) and on-premises air-gapped clusters, with AI-assisted development as the default. This is a ship-daily role: systems you build run mission-critical workloads analysts use to protect nations. WHAT YOU'LL OWN Platform deployment & operations - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centres). - Install, upgrade and operate Kubernetes clusters and containerised applications (Docker) in customer environments — cloud and on-premises. - Build infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring. - Troubleshoot deployment and production issues in disconnected environments, from the application layer down to storage and networking. High-performance backend systems - Design and build APIs, services and data pipelines that handle large volumes of SAR imagery and intelligence data with low latency. - Connect ICEYE systems to customer C4ISR infrastructure and intelligence tools through robust, well-designed integrations. - Own database design and performance at production scale (PostgreSQL, MongoDB): schemas, indexing, tuning, replication and backup. - Apply caching, queueing and horizontal scaling patterns deliberately — and capacity-plan for fixed on-premises hardware where you cannot simply scale out. Reliability, security & observability - Build monitoring, logging and alerting that work in restricted environments, so problems are found before the customer finds them. - Harden deployments to meet customer security constraints; own backup, recovery and upgrade paths for systems that cannot go down. - Run the infrastructure behind AI workloads shipped by the team — model serving, vector databases, GPU nodes — reliably and repeatably. Customer engagement & rapid delivery - Work embedded with intelligence analysts, operators and customer IT teams to understand operational and infrastructure requirements. - Rapidly prototype and iterate (working systems first, polish later) to address immediate operational needs. - Conduct hands-on training for customer administrators on platform operations. - Feed deployment experience back to ICEYE's product and engineering teams as concrete technical requirements. WHAT WE'RE LOOKING FOR Must-haves - 5+ years hands-on backend engineering building and operating production systems at scale. - Strong programming skills in Python. You write typed, tested services and you are comfortable with async APIs. TypeScript is a plus. - Proven experience designing high-performance backend systems: APIs, distributed services, messaging, caching and databases under real load. Experience with spatial, search, or vector workloads in Postgres is a plus. - Production experience in both cloud (e.g., AWS) and on-premises environments — this role lives in both. - Deep Docker and Kubernetes: deploy, debug, and upgrade clusters — not only consume them. GitOps and infrastructure-as-code experience. Pipelines that can run offline or on an isolated network are a plus. - Observability as a habit: metrics, logs, and alerts are part of done. - Infrastructure-as-code (Terraform, Ansible) and CI/CD experience, ideally including pipelines that run offline or in isolated networks. - PostgreSQL and/or MongoDB at production scale: schema design, tuning, replication, backup and recovery. - Observability as a habit: metrics, logging and alerting are part of done, not an afterthought. - Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture. - Strong communication and customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. Nice to have - Experience in defence, intelligence, or government operational environments. - Deploying to on-prem data centres and/or air-gapped networks, including offline artifact and registry management. - Event streaming and high-throughput data systems (e.g., Kafka or similar) at production scale. - Deeper Kubernetes: operators, service mesh, multi-cluster, storage and networking internals. - Security hardening and accreditation experience (system hardening baselines, audit and compliance in classified environments). - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience running infrastructure for AI/LLM workloads: GPU scheduling, model serving, vector databases. - Active use of AI-assisted development tools as part of your daily workflow. - Experience in defence tech (e.g., Palantir, Anduril, Scale AI, similar startups). WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at https://www.iceye.comiceye.com http://iceye.com

Responsibilities: — Designing, deploying, configuring, and maintaining scalable monitoring, logging, and alerting platforms for production and beta/test/dev environments; — Operating Prometheus, Alertmanager, Grafana, Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards, including upgrades, reliability, availability, capacity, and retention planning; — Building and maintaining reliable metrics and log collection pipelines for infrastructure and business-critical services; — Creating dashboards that provide clear, useful visibility into service health, performance, capacity, and operational risks; — Designing, tuning, and maintaining actionable alert rules and notification routing; reducing alert noise and improving incident response; — Monitoring infrastructure and application metrics and logs, troubleshooting issues, and improving stability and performance under heavy loads; — Managing metric cardinality, log volume, retention, storage consumption, and query performance to keep observability platforms scalable and cost-effective; — Establishing high-availability and recovery approaches for observability services and validating operational readiness; Requirements: — Minimum 3 years of experience with administering Linux systems and operating monitoring, logging, or observability systems; — Experience with Debian-based systems; — Experience with Docker and Kubernetes; — Hands-on experience with Prometheus, Alertmanager, and Grafana, including metric collection, alert rules, routing, and dashboards; experience with VictoriaMetrics would be a plus; — Experience with Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards for log collection, transport, processing, storage, search, and visualization; — Understanding of metrics and log pipeline design, including reliability, scalability, data retention, capacity planning, and cardinality management; — Experience designing actionable alerts, reducing alert noise, and troubleshooting infrastructure and application issues using metrics and logs; — Proficiency in shell command line usage, scripting, and automation tools like Ansible/Terraform; — Python and bash scripting skills.

Задачи: — внедрение и эксплуатация NTA решений (Suricata, PT NAD); — внедрение и эксплуатация NGFW (PT NGFW, Check Point и многие другие); — эксплуатация 802.1x на базе Cisco ISE (возможно Huawei NAC); — разработка правил корреляции и сценариев выявления инцидентов ИБ сетевых устройств; — мониторинг и расследование инцидентов в рамках SOC L2; — участие в разработке сценариев реагирования (playbook); — анализ выявленных инцидентов; — аудит сетевой инфраструктуры; — интеграция NTA (PT NAD) и WAF (PT AF) в SOC через сценарии и плэйбуки. Требования: — фундаментальные знания ИБ, Linux, Network; — опыт администрирования сетевого оборудования Cisco, Eltex, Huawei; — опыт администрирования любых МСЭ Cisco, CheckPoint, Palo Alto, PT NGFW и т.д.; — опыт работы с Windows и Linux системами; — опыт работы с 802.1x, Cisco ISE, Huawei NAC; — умение анализировать журналы регистрации событий СЗИ, журналы ОС, сетевого оборудования. Дополнительным преимуществом будет: — курсы и сертификаты SIEM вендоров: ELK (Elastic Search) и другие; — курсы и сертификаты Cisco, Positive, Linux и др.; — опыт работы с NGFW вендора; — сертификаты CCNP Security, Huawei Security, Positive сетевые решения. Условия: — официальное оформление со всеми социальными гарантиями.

About company: Adult marketplace We are seeking an experienced Linkbuilder / Outreach Specialist for international SEO projects in various Tier-1 countries and RU. Ideally we need a specialist with practical experience in the niche, our own donor database, site contacts, and verified contractors who can quickly get to work. Tasks: — Search and purchase high-quality links. — Direct outreach to website owners and webmasters. — Find new donors and continuously expand our base. — Negotiate placement prices and terms. — Guest Posts, Link Insertions, directories, Crowd, submissions, and other formats. — Analyze competitors' link profiles and find their donors. — Search for sites outside of standard exchanges. — Monitor placements, indexing, and link integrity. — Database management: GEO, contacts, cost, metrics, and placement history. — Work with multiple projects and different Tier-1 countries. Requirements: — 1-2 years of link building experience, preferably with projects in the Adult niche. — Own database of verified topical donors. — Verified contractors and webmaster contacts are a big plus. — Experience with independent outreach and negotiations. — Ability to evaluate donor quality and link profiles. — Basic understanding of SEO, links, and Google metrics. — Understanding of anchor text lists and link promotion principles. — Ahrefs / Semrush / Majestic or similar. — English level at least B2: confident written communication, independent outreach, and negotiations with foreign webmasters and site owners. A big plus is: — Experience working with platforms like ThePornList and similar directories, directories, review sites, and thematic resources. — Direct contacts with platform owners. — Large in-house donor database. — Verified contractors with ready-made databases. — Experience working with Tier-1 countries. — Mass outreach and automated contact search. — Ability to scale procurement across multiple projects. Salary: — Crypto 1000 - 2000 usdt based on exp

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is building the operating system for knowledge work, and we want people to be able to do substantive knowledge work from their phone. A great native app is what makes that possible. On Android, that means Notion should feel like it was built for the platform: fast to open, smooth to scroll, and reliable offline or on a spotty connection. We’re investing in a more native foundation for how people read, write, and edit in Notion. That lets users capture ideas in the moment, find answers across their workspace, manage tasks and projects, and work with teammates, with the speed, polish, and dependability people expect from the best apps on their phone. As an Android engineer, you’ll help build that native foundation, from how pages render and how people write and edit, to the navigation and app chrome people use every day, like Home, Search, and Inbox, along with the shared frameworks the rest of the app is built on. You’ll work across the Android stack, with chances to dig into our shared Rust layer and the AI tools we use for mobile development. Along the way, you’ll pair with experienced product and mobile AI engineers to find what slows the team down, try new Android capabilities, and help decide what ships in the app. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Ship the core Notion experience on Android: Build and polish the surfaces people use every day—opening and reading pages, writing and editing, navigating the app, and the Home, Search, and Inbox tabs—on a native Kotlin and Jetpack Compose stack that is fast to open, smooth to scroll, and dependable offline. - Build with product and design, and iterate fast: Partner with product managers and designers to turn ideas into shipped features, then use feedback and data to make them better. Use AI coding tools and agents to build, test, and investigate faster, while you stay accountable for review, validation, and quality. - By the end of your first year, own a core product area: Take a core part of the Android app, like Home, Inbox, or a piece of the editor, from idea to launch, and shape it into an experience that helps people do their life’s work from their phone. - Make the app feel fast and reliable: Find and fix issues in startup time, scrolling, typing latency, crashes, and memory use across the surfaces you own, and add the tests and monitoring that catch regressions before users do.   SKILLS YOU'LL NEED TO BRING - Solid Android fundamentals: You’ve built and shipped Android apps, through work, internships, or your own projects, and you’re comfortable with modern Android—Kotlin, Jetpack Compose, Coroutines/Flow, and Gradle. Experience with a large, modular codebase is a plus. - Care for native UI and performance: You enjoy making UI feel fast and smooth, and you’re curious about things like custom text rendering, complex lazy lists, or rich-text editing. Experience with performance profiling, realtime collaboration, or offline sync is a plus. - Product instincts: You care about how the app feels to use, not just how it works. You sweat the details of interactions and polish, and you use feedback and data to decide what to build next. - Thoughtful problem-solving and clear communication: You build a clear picture of the problem before jumping to a fix, you can explain trade-offs in writing, and you ask for help early when you’re stuck. Experience moving a hybrid or web-based surface to native, or building something from 0→1, is a plus. - AI-native, end-to-end engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective. Web experience (TypeScript, React, Node) is welcome but not required. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $168,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Tavily at Nebius In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a senior, full-stack analyst / data scientist to own Product and PLG analytics end-to-end. You'll own the metrics behind our self-serve motion (signup, activation, usage, conversion, expansion and retention) and find the drivers behind them . You'll work directly with our CEO and leadership as a thought partner on product and growth decisions. This role is fully independent. When a question comes up, you take it all the way: from building the pipeline, model the data, train and deploy the model, analyze the results and come back with a clear recommendation. Nothing waits in a queue for someone else. You'll also work closely with the other analysts on the team, share methods and standards, and collaborate across Product, Engineering, Growth, Marketing and GTM. What You'll Do • Own Product and PLG analytics end-to-end: define, instrument and measure the self-serve funnel, from first API call through activation, conversion to paid, expansion and churn. • Uncover the drivers behind top-level KPIs: which behaviors, use cases and product experiences predict activation, retention and monetization. • Build what you need: data pipelines and models (SQL, dbt, Python, orchestration) that turn raw product, usage and billing data into trusted, reusable datasets. • Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and bring their outputs into product and GTM workflows. • Design, run and evaluate experiments (A/B tests, pricing and packaging tests, onboarding changes) and apply causal inference where you can't run a clean experiment. • Proactively monitor key business and product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Partner directly with the CEO and leadership on strategic questions, including pricing, growth levers, product bets and market opportunities, and turn ambiguous questions into clear analysis and decisions. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For (Must-Haves) • 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent. • 2+ years in a SaaS company, with deep understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics. • A strong statistical foundation. • A proven record of working end-to-end on your own, from data engineering through modeling to a delivered recommendation. • Strong hands-on experience using Python for data analysis, experimentation, machine learning and data modeling in a production environment. • Comfort working with large, messy, event-level datasets. • Hands-on experience building, validating and deploying predictive models (e.g., classification, forecasting, segmentation) that were used to make real business decisions. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Experience with product analytics platforms (PostHog, Amplitude, Mixpanel). • Experience with pricing and packaging analysis or usage-based billing models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc / PhD in Statistics / Math / CS or equivalent. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,000 — $224,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Senior Manager, Technical Recruiting Location: Remote US Compensation Range: $130,000 to $150,000 base plus bonus and equity What You'll Do: This role belongs to a senior technical recruiting partner who understands that the right hire can change a team's trajectory. Outcome-Obsessed by nature, this partner owns every search from intake through close and measures success by each hire's impact on the Huntress mission while building strong relationships with candidates and hiring managers along the way. Candor defines the work: direct feedback helps teams align and shows candidates exactly where they stand. When searches get difficult or priorities shift, Warrior Spirit keeps things moving, resilient, focused, and resourceful from the first conversation to the signed offer. Creativity drives how this role finds talent, sourcing strong candidates through inventive, unconventional channels. Persistence drives how it serves hiring managers, keeping their needs and every stage of communication front and center from kickoff to close. Throughout, the bar stays high: Huntress needs exceptional talent to scale and to protect every business that depends on us in the fight against hackers. Responsibilities: Own full-lifecycle recruiting for engineering, product, design, IT, security, and leadership roles from intake through close. Partner with hiring managers to define role requirements, build structured interview plans, and keep searches moving. Source and recruit candidates through industry groups, professional networks, and underrepresented talent communities. Review resumes and conduct interviews to assess relevant knowledge, experience, aptitude, and alignment on compensation. Deliver analytical, well-documented recruiting updates and reports that help leaders make better pipeline and hiring decisions. Build and improve AI-supported workflows for outreach, scheduling, screening, or reporting, using sound judgment and sharing reusable practices with the team. Manage online job postings and related social media content. What You Bring to the Team: Bring 7+ years of full-cycle recruiting experience across software engineering, design, product, IT, security, and leadership roles. Have experience hiring within growing SaaS companies with a high bar for technical talent, including challenging engineering and product management searches; cybersecurity industry experience is preferred. Have experience coordinating scheduling and video interviews, as well as screening and evaluating technical candidates. You are comfortable owning multiple requisitions simultaneously while maintaining a clear, candidate-centric process. Have experience sourcing, evaluating, and hiring top engineering talent. Bonus points for having extensive Ruby on Rails recruiting experience. Are familiar with modern ATS tools, preferably Greenhouse, and have experience leading Diversity & Inclusion and Employer Branding initiatives in the tech community. Use AI to work faster and smarter across recruiting workflows, and can build practical, reusable systems with good judgment about quality, privacy, and candidate experience. Proven experience implementing creative sourcing strategies to build strong top-of-funnel metrics while maintaining talent pools of qualified candidates. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Unimatch Lab is an AI-driven venture studio from Silicon Valley. They build their own AI stack and a portfolio of AI products: 7 products across Future of Work, Longevity, Kids Universe and Education. They are looking for a hands-on Senior Recruiter who owns up to 5 vacancies at a time, from the hiring-manager brief to the signed offer. You will hire for engineering, product, ML/AI, design, analytics, marketing and sales on the international market. Key responsibilities: — Run the full recruiting cycle from hiring-manager brief to offer — Source, screen and attract candidates across USA, MENA, EU and LATAM — Run interviews on hard skills, soft skills, motivation and culture fit — Build role-specific sourcing strategies and screening scripts — Agree priorities and role profiles with hiring managers and close the feedback loop — Keep a transparent funnel with clear analytics: conversions, sources, time-to-fill Required qualifications: — 4+ years of full-cycle recruiting, at least 2 of them in startups or fast-growing tech — Closed roles in engineering, product, ML/AI, design, analytics, marketing and sales, including senior and hard-to-fill ones — Hands-on international recruiting: USA, MENA, EU, LATAM — LinkedIn Recruiter, X-Ray, Boolean Search, Notion, Claude (up to writing your own agent skills) — English B2+, Russian native or fluent Format: remote, Europe / Belarus / LATAM In your message, answer one question: how do you use AI in your day-to-day work?

Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided). Employment: Full-Time. About the Company/Product: A global B2B product company developing a powerful Integration Platform as a Service (iPaaS) that uses AI and machine learning to enable organizations to seamlessly connect data sources, cloud applications, and enterprise systems through low-code/no-code automation. The platform is trusted by more than 400,000 customers worldwide, including leading companies such as Visa, Goldman Sachs, Cisco, Amazon, HubSpot, and L’Oréal. The engineering culture emphasizes technical excellence, strong ownership, and close collaboration across globally distributed, remote-first teams. What You’ll Do: — Keep the Aurora PostgreSQL fleet healthy across all data centers: building indexes on large and partitioned tables without downtime, analyzing plans, and moving data. — Handle Aurora configuration (parameters, replicas, failover, capacity) and cost work: rightsizing, merging low-activity databases, and evaluating serverless. — Take ownership of the PgBouncer layer, which currently needs an owner and a roadmap. — Review schemas and data models with product teams, advising on partitioning, retention, and shared vs. dedicated clusters, backing recommendations with data. — Work on the performance of the main application and the search queries behind AI features, including research toward a 10,000 jobs/second target. — Package the team's existing zero-downtime upgrade and switchover procedures into versioned, released automation, along with provisioning of databases and users, grants, and schema sync across data centers (Terraform, Ansible, GitOps). — Develop and deploy tooling for monitoring and managing the PostgreSQL fleet in Kubernetes, including monitoring and alerting (exporters, VictoriaMetrics). — Handle database incidents end-to-end, including root-cause analysis and follow-up fixes, and participate in resilience projects such as a cross-region DR pilot, application reconnect after failover, and CDC pipelines that survive upgrades and failovers. — Contribute to time-boxed evaluations of new database technologies that end with a decision on adoption. — Participate in the on-call rotation, with off-rotation time dedicated to uninterrupted project work. What You Have: — 5+ years of experience operating PostgreSQL in production (DBA, DBRE, or SRE with a database focus) on databases under real load. — Deep experience with database schemas: design, debugging, and troubleshooting performance issues in production. — SQL proficiency, query plans, indexing strategy, and performance work on multi-TB tables. — Expertise in the PostgreSQL ecosystem: streaming and logical replication, HA and failover setups (Patroni or equivalent), connection poolers (PgBouncer), major-version upgrades and migrations with minimal downtime. — Linux fundamentals: processes and memory, OOM behavior, networking basics. — Scripting skills (Bash, Python, or Go) and an automation-first attitude. — Readiness to work actively with Kubernetes. — Strong root cause analysis and incident management skills. — Good level of English — at least Upper-intermediate (B2). Nice-to-Haves: — Experience with Infrastructure as Code (Terraform) and cloud infrastructure (AWS, ideally hands-on Aurora or RDS). — Experience with different storage systems: ClickHouse, OpenSearch, Elasticsearch, Redis, Valkey, MemoryDB, Neo4j. — Exposure to Kubernetes basics, GitOps, ArgoCD, or Vault. — Contributions to open-source database or infrastructure projects. — Openness to using AI assistants in daily work. What We Offer: — Real scale: every database behind a global automation platform, processing billions of events daily. — Influence on the stack: your analysis in technology reviews shapes which databases the company adopts. — Top-tier engineering team. — Competitive base salary + stock options. — Fully remote work with flexible hours from Spain, Bulgaria, or Portugal. — Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package). — Full-time employment with benefits. — Health and life insurance. — Flexible vacation policy and paid sick leave. — Company-provided equipment. — Company-sponsored team-bonding activities. — Other competitive benefits depending on location (e.g., wellness programs, education budget, referral bonuses, etc.).

Locations: Spain, Bulgaria, or Portugal (relocation assistance may be provided). Employment: Full-Time. About the Company/Product: A global B2B product company developing a powerful Integration Platform as a Service (iPaaS) that uses AI and machine learning to enable organizations to seamlessly connect data sources, cloud applications, and enterprise systems through low-code/no-code automation. The platform is trusted by more than 400,000 customers worldwide, including leading companies such as Visa, Goldman Sachs, Cisco, Amazon, HubSpot, and L’Oréal. The engineering culture emphasizes technical excellence, strong ownership, and close collaboration across globally distributed, remote-first teams. What You’ll Do: — Keep the Aurora PostgreSQL fleet healthy across all data centers: building indexes on large and partitioned tables without downtime, analyzing plans, and moving data. — Handle Aurora configuration (parameters, replicas, failover, capacity) and cost work: rightsizing, merging low-activity databases, and evaluating serverless. — Take ownership of the PgBouncer layer, which currently needs an owner and a roadmap. — Review schemas and data models with product teams, advising on partitioning, retention, and shared vs. dedicated clusters, backing recommendations with data. — Work on the performance of the main application and the search queries behind AI features, including research toward a 10,000 jobs/second target. — Package the team's existing zero-downtime upgrade and switchover procedures into versioned, released automation, along with provisioning of databases and users, grants, and schema sync across data centers (Terraform, Ansible, GitOps). — Develop and deploy tooling for monitoring and managing the PostgreSQL fleet in Kubernetes, including monitoring and alerting (exporters, VictoriaMetrics). — Handle database incidents end-to-end, including root-cause analysis and follow-up fixes, and participate in resilience projects such as a cross-region DR pilot, application reconnect after failover, and CDC pipelines that survive upgrades and failovers. — Contribute to time-boxed evaluations of new database technologies that end with a decision on adoption. — Participate in the on-call rotation, with off-rotation time dedicated to uninterrupted project work. What You Have: — 5+ years of experience operating PostgreSQL in production (DBA, DBRE, or SRE with a database focus) on databases under real load. — Deep experience with database schemas: design, debugging, and troubleshooting performance issues in production. — SQL proficiency, query plans, indexing strategy, and performance work on multi-TB tables. — Expertise in the PostgreSQL ecosystem: streaming and logical replication, HA and failover setups (Patroni or equivalent), connection poolers (PgBouncer), major-version upgrades and migrations with minimal downtime. — Linux fundamentals: processes and memory, OOM behavior, networking basics. — Scripting skills (Bash, Python, or Go) and an automation-first attitude. — Readiness to work actively with Kubernetes. — Strong root cause analysis and incident management skills. — Good level of English — at least Upper-intermediate (B2). Nice-to-Haves: — Experience with Infrastructure as Code (Terraform) and cloud infrastructure (AWS, ideally hands-on Aurora or RDS). — Experience with different storage systems: ClickHouse, OpenSearch, Elasticsearch, Redis, Valkey, MemoryDB, Neo4j. — Exposure to Kubernetes basics, GitOps, ArgoCD, or Vault. — Contributions to open-source database or infrastructure projects. — Openness to using AI assistants in daily work. What We Offer: — Real scale: every database behind a global automation platform, processing billions of events daily. — Influence on the stack: your analysis in technology reviews shapes which databases the company adopts. — Top-tier engineering team. — Competitive base salary + stock options. — Fully remote work with flexible hours from Spain, Bulgaria, or Portugal. — Possible assistance with relocation to Spain or Bulgaria (visa support & relocation package). — Full-time employment with benefits. — Health and life insurance. — Flexible vacation policy and paid sick leave. — Company-provided equipment. — Company-sponsored team-bonding activities. — Other competitive benefits depending on location (e.g., wellness programs, education budget, referral bonuses, etc.).