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Location: Romania Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Bulgaria Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Portugal Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Boston, MA Workplace: OnSite SENIOR DIRECTOR OF PRODUCT, HEALTHCARE At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Director of Product, Healthcare to lead the strategy, development, and growth of healthcare products and experiences that continues to build on our strategy of personalized health. You will build and grow the Healthcare Product team while partnering across Product, Design, Clinical Science, Regulatory Affairs, Engineering, Data Science, and Commercial teams to translate physiological data, machine learning capabilities, and clinical insights into meaningful healthcare experiences. You will play a critical leadership role in identifying high-impact opportunities, bringing evidence-based products from concept through launch and scale, and helping establish WHOOP as a leader in digital health. RESPONSIBILITIES: - Define and execute the product strategy and roadmap for the WHOOP healthcare portfolio, translating broader company and Consumer Product priorities into clear investments, product initiatives, and measurable outcomes. - Build, lead, and significantly scale a high-performing Healthcare Product team, developing product leaders and establishing the operating rhythms, capabilities, and culture needed to support a growing portfolio. - Partner closely with leaders across Clinical Science, Data Science, Regulatory Affairs, Engineering, Design, Corporate Strategy and Commercial teams to bring evidence-based healthcare products and experiences from concept through launch and scale. - Identify, evaluate, and prioritize opportunities across areas such as preventive health, clinical monitoring, chronic condition management, digital biomarkers, personalized health insights, and healthcare provider solutions, balancing member value, clinical impact, feasibility, and business opportunity. - Drive product decisions through a combination of scientific evidence, member and customer insights, market analysis, healthcare economics, product data, and business impact, while establishing clear frameworks for measuring engagement, clinical utility, adoption, retention, and financial performance. - Ensure healthcare product strategies appropriately incorporate regulatory requirements, clinical evidence expectations, privacy considerations, and quality standards while representing the healthcare product vision with internal leaders and external healthcare stakeholders. QUALIFICATIONS: - 12+ years of product management experience, including substantial leadership experience building and scaling products within digital health, healthcare technology, medical devices, health platforms, or related industries. - Demonstrated success developing and scaling healthcare or health-focused products that deliver measurable consumer, clinical, and business outcomes. - Experience building, managing, and developing high-performing product teams, including leading product leaders and growing organizations through periods of significant expansion. - Strong understanding of healthcare ecosystems and business models, including experience working with relevant stakeholders such as providers, payers, employers, health systems, or other healthcare organizations. - Experience developing products within regulated or clinically oriented environments, with familiarity across areas such as clinical evidence generation, healthcare data, privacy, regulatory requirements, and quality processes. - Proven ability to set product strategy while remaining close to execution, navigate ambiguity, prioritize across a complex portfolio, and influence senior cross-functional stakeholders without relying on direct authority. - Exceptional communication, strategic thinking, and business acumen, with the ability to translate complex scientific, clinical, technical, and commercial considerations into clear product decisions and organizational alignment. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $230,000 - $270,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

About the Client Our client is involved in an innovative data-collection project, which focuses on creating video datasets for training AI models. These AI models are designed to learn from first-person (POV) video footage. The captured videos depict real people involved in hands-on tasks with a mounted phone on their head or chest, paired with spoken narration. The purpose is to enable the model to connect visual inputs (objects, hands, actions) with audio descriptions. About the Role The Recorder role requires individuals who can master a specific hands-on activity from a selection of verticals. You will need to film yourself performing these tasks from a first-person perspective using your smartphone while ensuring the tasks are clearly visible. If fluent in English, you may narrate live; otherwise, ambient audio will suffice, and a separate narrator will cover the task later. Tasks & Deliverables — Select a mastered sub-area activity and record a complete end-to-end process. — Ensure hands and the procedure are constantly in focus. — Provide live narration if fluent in English or ambient audio for post-recording narration. — Deliver videos in MP4 format with accompanying JSON metadata. — Maintain narration density at 25 words per minute; ensure 90%+ of speech describes the setting or task steps. Required Skills — Mastery of at least one specific sub-area activity from the provided list (e.g., cleaning, laundry, organizing, pet care, repairs, gardening, sewing, woodworking, automotive repair, art, technology use, personal care, medical procedures, culinary skills, lab protocols). — Capability to record stable, clear POV videos with a smartphone. — Ability to work in a real setting without third parties in frame. — Competent in following a prepare → execute → finish script for filming tasks. Nice-to-have Skills — Experience recording tutorials or classes. — Access to various settings for diverse video backgrounds. — Owns equipment like a head/chest mount, image stabilization tools, or a good microphone. Rules — No personal data on video — no third-party faces, screens, documents, plates, addresses, mirror reflections. — 100% human narration — no TTS or synthetic voice. Engagement Details — Compensation model: Hourly paid, considering the total number of hours for approved videos. — Commitment Type: Flexible hours based on video submissions. — Duration: Ongoing, with earnings based on the number of approved videos. — Location: Remote, with flexible overlap with client's timezone. — Start Date: Immediate start upon approval of test video.

Location: Remote Workplace: Remote At Adapty, we make it easy for mobile apps to manage in-app purchases and paywalls. We power 20K+ apps, process $3B+ in subscriptions every year, and have been growing fast for the last four years. Our mission is simple: make apps rich. We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide. WHAT THIS ROLE IS ABOUT Adapty powers subscriptions for thousands of mobile apps, and our clients don't come to us for a billing tool, they come to grow subscription revenue. This role exists to make that happen. You'll own a portfolio of 30-40 apps and act as their growth partner: understanding their funnel from ad click to purchase, finding where money leaks out, and bringing them concrete recommendations on paywalls, pricing, and A/B tests. You will be a sparring partner who knows subscription monetization as well as our clients do. This isn't a ticket-answering job. Proactiveness, retention, adoption, and expansion in your portfolio are yours to drive, which means you'll spend your time in analytics dashboards and in strategic conversations, and you'll be comfortable turning a good insight into a commercial one. WHAT YOU'LL BE DOING - Own a portfolio of 30-40 clients. You'll be the main point of contact and the person accountable for their retention, health, and growth. - Onboard new clients. After handoff from Sales, guide them through integration, help them build their first funnel and paywall, and get their campaigns live. - Close product adoption gaps. Audit how each client actually uses Adapty, spot underused features, and drive them to full adoption. Identify at-risk accounts early and act before renewal is in question. - Drive account growth. Run paywall and UA analyses, and come to clients with concrete A/B test recommendations that move their subscription revenue, not generic check-ins. - Unlock and close cross-sells. Identify expansion potential across the product line and own those deals through to closed-won. - Be the voice of the customer. Gather and relay feedback, bugs, and feature requests to the product team, and follow up so critical issues actually ship. - Know the product inside and out. You'll be expected to answer detailed technical questions and support complex use cases without escalating everything. WHAT WE'RE LOOKING FOR - Hands-on experience with in-app subscriptions. You've worked with subscription monetization directly, not just adjacent to it. - Full-cycle mobile growth background. Ideally you've owned traffic acquisition through to purchase: UA, funnel optimization, monetization, A/B testing. - Fluent English, written and spoken. - Comfortable with sales. You're not afraid to open a commercial conversation, ask for the expansion, and close it. - Sharp mind and strong communication. You can hold a strategic conversation with a founder or a growth lead and be taken seriously. - Independent and proactive. We don't micromanage — you own your accounts and your numbers. NICE TO HAVE - Experience at a SaaS company in the mobile industry - Working knowledge of Amplitude, Meta Ads, and creative testing. - Track record of measurable account expansion or upsell in a previous CS role. - Familiarity with support/CRM tools. WHAT'S IN IT FOR YOU - Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies. - Exceptional compensation directly tied to your results. - Direct communication and ownership. No bureaucracy, no politics, just impact. - Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices. - Professional support. Language learning, sports, health insurance, laptop coverage, and more.

Location: Limassol, Cyprus Workplace: remote Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We’re looking for a hands-on Content Specialist to help grow platforms’s audience by finding promising videos on our platform, editing them, and publishing them on third-party sites. Your main focus will be turning existing platform content into videos that attract viewers and bring new users to the platform. You’ll also experiment with original content and paid promotion to expand successful approaches. Job Responsibilities Find and select videos: Explore platform content to identify videos with strong potential for external distribution. Refine selection criteria based on performance. Edit and adapt content: Cut footage, improve pacing, add branding and calls to action, and adapt videos to each platform’s formats and audience. Prepare publication materials: Create engaging titles, descriptions, thumbnails, and tracking links. Test different approaches to improve visibility and click-through rates. Ensure proper content rights: Verify and document creator consent and redistribution rights, and follow platform requirements in coordination with Legal. Upload and manage videos: Publish content on tube sites, and relevant third-party platforms. Maintain a consistent publishing schedule and keep accounts and content organized. Optimize for growth: Track views, engagement, and registrations with support from analysts. Use these insights to improve content selection, editing, and distribution. Explore new opportunities: Find additional platforms and test new video formats and publication approaches. Produce original content: Propose ideas and collaborate with creators on exclusive videos tailored to promising formats and audiences. Run paid promotion tests: Find advertising opportunities, purchase placements within agreed budgets, and evaluate results with the team. You will thrive if you have… 2+ years of experience in content management, video production, or content distribution. Hands-on video editing skills: you can independently turn source footage into a publishable video. Good judgment in selecting engaging footage and creating effective titles and thumbnails. Understanding of how content can drive traffic and attract new users. Ability to use performance data to improve your work. Strong English communication skills, written and spoken. Ability to work independently, manage a regular publishing schedule, and meet deadlines. Access to reliable high-speed internet. Qualifications that can be a plus Experience uploading and optimizing videos for tube platforms. Familiarity with video SEO, platform discovery, and audience behavior. Experience with paid promotion, advertising placements, or media buying. Experience developing original content and working with creators or models. Availability for collaboration during European working hours. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. This opportunity is also available for those who already live in Limassol, Cyprus. EU-based employment contract and a 3-year Cyprus work visa. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (40 min); Technical interview (1 hour); Test task; Final interview (1 hour); Recommendations check; Job Offer.

Location: Limassol, Cyprus Workplace: remote Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations. We are looking for a Compliance Operations Manager to take end-to-end ownership of traffic and content compliance across one of our digital platforms. You will develop and operate a scalable compliance framework for monitoring affiliate partners and digital traffic sources, identifying prohibited or risk activity, investigating incidents, and continuously improving preventive and detective controls. This is a hands-on ownership role for someone who can independently assess risks, establish effective processes, and turn compliance requirements into practical operational and technical solutions. You will work closely with Product, Engineering, Data, Legal, Risk, and commercial teams. Job Responsibilities Own, develop, and update the traffic and content compliance framework, policies, SOPs, and risk-scoring mechanisms. Audit digital traffic channels, landing pages, and promotional materials to detect prohibited content, cloaking, redirect manipulation, and suspicious attribution patterns. Lead root-cause investigations into compliance violations, coordinate corrective actions, enforce partner restrictions, and track remediation. Partner with Product, Engineering, and Data teams to define requirements for automated risk-scoring, internal compliance tools, and external monitoring solutions. Track compliance metrics, analyse recurring risk trends, and deliver clear, decision-ready reporting to management. Ensure documentation remains audit-ready for payment partners and regulators; stay updated on payment-network and industry regulatory shifts. Provide functional direction and quality standards for compliance analysts, and deliver internal training on monitoring and enforcement processes. You’ll thrive here if you have 5+ years in Compliance Operations, Risk, Fraud Prevention, or Traffic Quality (hands-on experience in traffic compliance, affiliate marketing, and ad networks required). Solid understanding of tracking signals (URLs, redirects, referrers, cookies, device fingerprints) and ability to assess risk using incomplete attribution data. Proven background conducting operational audits, implementing SOPs/compliance policies, and managing root-cause incident investigations. Experienced in team leadership, managing cross-functional initiatives, and translating compliance needs into Product, Engineering, and Data requirements. Ability to define compliance KPIs, build clear executive reports, and make sound, analytical decisions under pressure. Upper-Intermediate English or higher. Nice to Have: Knowledge of payment provider, acquiring bank, or card network compliance standards. Experience detecting cloaking, brand misuse, redirect manipulation, and prohibited content. Familiarity with OSINT, web scraping, SQL/Python, BI tools, or LLM-based automation. Relevant professional certifications (compliance, auditing, risk, or fraud prevention). What Success Looks Like A risk-based traffic and content compliance framework is actively implemented and enforced. High-risk traffic sources and compliance incidents are quickly identified, audited, and resolved. Automated and manual monitoring controls effectively reduce repeat violations. Management receives clear, data-driven visibility into traffic compliance risks. All processes, evidence, and records remain continuously audit-ready for external partners. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. This opportunity is also available for those who already live in Limassol, Cyprus. EU-based employment contract and a 3-year Cyprus work visa. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. Benefits are provided in accordance with the company’s policies and eligibility criteria.

Задачи: — Вести технический SEO-бэклог: проводить аудит и доработку существующих разделов и шаблонов, внедрять и исправлять микроразметку на действующих страницах, устранять проблемы с индексацией, дублями, редиректами и скоростью. — Сопровождать продуктовую разработку от старта до релиза. — Писать SEO-требования к продуктовым ТЗ и макетам продуктов: семантическая верстка страниц и виджетов, роутинг, шаблоны метаданных для автоматически генерируемых страниц, микроразметка и другие требования. — Улучшать техническое состояние сайта: работать с индексацией и рендерингом SPA/SSR, кодами ответов, sitemap и Core Web Vitals, проверять SEO-часть релизов. — Консультировать соседние команды: находить решения на стыке SEO, продукта, редакции и коммерции. — Анализировать индексацию, видимость и трафик, оценивать эффект внедрений, приоритизировать SEO-бэклог. — Вести базу знаний: SEO-гайдлайны, готовые ТЗ по типам страниц, продуктов и виджетов. Требования: — Релевантный опыт в техническом SEO и подтвержденные кейсы технических внедрений на крупных проектах с измеримым результатом. — Сильная техническая база в SEO: знание того, как Google и Яндекс сканируют, рендерят и индексируют JS-сайты (SSR/CSR, исходный HTML). — Умение работать с каноникализацией, редиректами, schema.org / JSON-LD и Core Web Vitals. — Знание специфики новостных проектов: Google News и Discover, свежесть контента, live-страницы, монетизация. — Понимание микросервисной архитектуры и HTTP (заголовки, кеширование, условные запросы), а также опыт написания ТЗ для разработчиков (семантическая верстка, микроразметка, роутинг и другие технические требования). — Умение работать с данными и принимать решения на их основе. — Будет плюсом знание спорта. Условия: — Удалённая работа с возможностью посещать офис в центре Москвы. — Гибкое начало и окончание рабочего дня. — ДМС со стоматологией по всей РФ с первого рабочего дня. — Персональный годовой бюджет на занятия спортом и оплату коворкинга для сотрудников вне Москвы. — Оплата отпуска и больничных без потери в деньгах. — Программа лояльности с сотнями скидок. — Статус аккредитованной IT-компании. — Обучение и помощь в развитии: компенсация профильных курсов, доступ к конференциям, регулярные one-to-one и performance review. — Спортивные команды и клубы по интересам. Процесс найма: — Короткое HR-интервью на 20 минут. — Собеседование с потенциальным руководителем. — Тестовое задание. — Финальное интервью с операционным директором и HRD.

Location: Tokyo, Japan 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: We’re looking for an experienced Go-To-Market (GTM) Recruiter in Tokyo to partner closely with our Japan leadership team to attract, engage, and close top talent from an array of backgrounds. In this role, you’ll help build our Japan organization in a high-ownership, high-growth environment. We will look to you to advise and consult with hiring managers and interviewers, proactively source and engage future Notinos, and design a rigorous hiring processes while ensuring a delightful candidate experience. WHAT YOU'LL ACHIEVE: - Own the Japan recruiting process for GTM roles, primarily for Solutions Consultants (direct sales) and other GTM roles. - Operate autonomously across the end-to-end cycle, from direct sourcing and screening through close, while ensuring a thoughtful candidate experience at every step. - Run role kick-off meetings, define profiles, and align interview plans and scorecards to drive consistent, high-quality decisions. - Utilize internal hiring metrics and external market data to proactively propose recommendations and solutions to leaders. - Drive our diversity and inclusion strategy forward, with a heavy emphasis on sourcing and maintaining a well-balanced and diverse top-of-funnel candidate slate. - Build and nurture future talent pipelines for priority Japan GTM roles. - Establish trusted partnerships with the Japan leadership team to ensure Notion hires the right talent at the right time to achieve the company’s ambitious goals. - Ensure scalable, structured hiring plans for all roles with a strong sense of urgency and agency, while building repeatable processes and creative solutions that help the recruiting team scale for years to come. - Inspire candidates throughout all stages of the interview process, and build a customized close for each candidate. - Collaborate closely with peers and cross-functional partners, including Recruiting Coordinators, HRBPs/People Partners, Compensation Partners, Recruiting Operations, Executive Operations Partners, and Revenue Operations. SKILLS YOU'LL NEED TO BRING: - You have at least 5 years of recruiting experience, preferably in a high-growth, in-house environment. Agency background is also welcome if you have full-cycle IT/SaaS sales hiring experience. - You have a track record of directly sourcing, qualifying, and closing exceptional GTM talent (e.g. Sales, Customer Success, Pre-Sales, Professional Services) based in Tokyo. - You can partner with, manage, and influence leadership stakeholders effectively. You have coached and guided hiring managers and interviewers through the full recruiting process. - You have built diverse candidate pipelines and helped hiring managers build inclusive teams. - You have outstanding communication and interpersonal skills in both English and Japanese (written and spoken fluency in both are required.) - You have a relentless focus on delivering a high-touch, high-quality recruiting experience, while respecting candidates’ and hiring managers’ time. - You can multitask and prioritize in a fast-paced, ever-evolving environment. - You’re a team player with an optimistic attitude, and you’re comfortable wearing many hats in a smaller organization. NICE TO HAVES: - You have owned the end-to-end hiring process at global SaaS companies. - You have managed roles and candidates across regions outside of Japan. - You’re a Notion power user! 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: United Arab Emirates Paid Social Manager (Meta Ads) — Remote About us SF Marketing Agency is a performance marketing agency based in Dubai. We run paid social, automation and lead generation for B2B and B2C businesses (SMB and mid-market) in the UAE and English-speaking markets. We're looking for someone who wants to work hard, learn fast and get very good at Meta Ads, inside a team that uses AI in its daily work. What you'll do Set up and launch Meta Ads (Facebook/Instagram) lead generation campaigns for agency clients Run 5+ client ad accounts at the same time Check ad accounts daily: budgets, statuses, policy flags and restrictions, account health Manage and optimise live campaigns: test audiences, offers and creatives Track and analyse CPL, CPQL (cost per qualified lead), CPA (cost per acquisition / order), CTR and CPM Prepare performance reports for the internal team Brief designers and copywriters on creatives, and edit or assemble simple creatives yourself Use AI tools every day: creating and testing creatives, writing ad copy, analysing data, automating routine tasks Set up Meta Pixel, Conversions API and UTM tracking Requirements English: Upper-Intermediate (B2) or above, written and spoken 2+ years of hands-on Meta Ads experience in lead generation (agency experience is a strong plus) Case studies that prove your results: ad spend → leads → CPL/CPA You've brought down CPL or CPA on live accounts, and your case studies show how Experience running 5+ ad accounts at once Hands-on setup of Meta Pixel, Conversions API and UTM tracking Hands-on use of AI tools (ChatGPT, Claude or similar) for creatives, copy, analysis and automation Design skills: comfortable in Canva, Figma or Photoshop, with a good eye. You can fix a creative yourself or give a designer clear feedback Self-driven: you test ideas on your own and don't wait for instructions at every step Nice to have Google Ads or TikTok Ads CRM tools (GoHighLevel or similar), GTM, GA4 Terms Full-time, remote Working hours overlap with Dubai (GMT+4): you must be based between GMT+1 and GMT+7 Pay: base from $1,200/month + performance bonus tied to client results (CPL/CPA targets) + quarter bonus for company targets. Employment type and payment method: discussed individually How to apply Everything in English. Applications in any other language will not be reviewed. Your CV Your case studies (ad spend → leads → CPL/CPA) A short note: why you, and which accounts you run now

Location: Limassol, Cyprus Freedom24 is a trusted online broker with expertise in the US, European, and Asian stock markets, registered in Cyprus, and offers a broad range of services in the financial markets. Freedom Team is a union of highly qualified professionals on the market, bursting with vibrant energy and pioneer ideas. All of us are goal-oriented with a strong belief in teamwork power built on the strength of each of us. We work in a high-paste environment and within cross-functional teams. We are dedicated to achieving the best possible result, and no one thinks he doesn’t make a change. We’re looking for a hands-on advertising expert to grow customer acquisition across search engines and AI chat platforms, with AI agents and automation at the core of campaign management. If you feel like you’re a good fit for us and we are a good fit for you, go ahead and check this position out. Responsibilities AI & Automation Build and optimise AI agents to manage bidding settings, budgets, keywords and negative keywords. Use LLMs to analyse search queries, identify growth opportunities, detect wasted spend and generate ad variations. Connect advertising platforms, analytics and internal data through APIs to automate campaign analysis, reporting and actions. Test and monitor automated workflows, with clear limits and approval rules for campaign changes. Search Engines & AI Chat Platforms Own the planning, launch, optimisation and scaling of paid search campaigns across search engines. Explore and test customer acquisition through AI chat platforms, including paid advertising formats where available. Launch and optimise remarketing campaigns, with audiences, exclusions and messaging tailored to each stage of the customer journey. Write and test clear, relevant ad copy adapted to each platform, audience and user intent. Measurement & Performance Improve conversion tracking, offline conversion integration and attribution across channels. Use experiments and conversion value to guide bidding, budget allocation and campaign optimisation. Identify which campaigns attract valuable customers and scale successful approaches. Requirements Hands-on experience building or implementing AI agents, LLM-based workflows or automation solutions in advertising, marketing or analytics. Strong experience independently managing paid search campaigns, with a proven record of improving performance and scaling results. A solid understanding of bidding strategies, keyword management, search query analysis and value-based optimisation. Experience launching and optimising remarketing campaigns and audience strategies. Working knowledge of analytics, tag management, offline conversions and attribution. Practical experience with APIs and tools such as Python, JavaScript, SQL or automation platforms. Strong analytical skills and the ability to turn data into clear decisions and measurable improvements. Excellent written communication and ad copywriting skills. Initiative to explore emerging advertising channels, challenge existing processes and take ownership of improvements. Experience testing advertising or customer acquisition through AI chat platforms is a plus. Benefits Ownership of a meaningful area of performance marketing, with scope to influence how the work is done; The opportunity to build and apply AI-powered solutions in a live advertising environment; An international team and a preferred office location in Cyprus; remote work may be considered; Relocation support for you and family members; Compensation discussed individually, based on your experience and expectations.

Location: Sacramento, United States; Knoxville, United States; Honolulu, United States; Boise, United States; Naples, United States; Irvine, United States CXG is a global Customer Experience consulting firm specializing exclusively in serving premium and luxury brands. We partner with premium and luxury brands to transform experiences for meaningful impact. We provide valuable insights and support them in taking actionable steps toward creating seamless customer experiences that deliver more value. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years or older (21 years or older in the United States). Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Location: Riyadh, Saudi Arabia The Assistant Horticulturist – Outdoor Gardens supports the day-to-day maintenance, care, and presentation of outdoor gardens, landscapes, and living plant collections. Working under the direction of the Horticulturist – Outdoor Gardens, the role provides practical support in planting, pruning, plant health, irrigation, pest management, and general garden maintenance. The position also supports plant identification, collection records, Integrated Pest Management (IPM), and the safe use and routine maintenance of horticultural tools and equipment. The role contributes to maintaining safe, healthy, attractive, and high-quality outdoor garden environments. Key Responsibilities Support planting, pruning, watering, weeding, mulching, fertilisation, deadheading, staking, and general garden maintenance. Assist with the establishment, replacement, and maintenance of trees, shrubs, groundcovers, herbaceous plants, and seasonal displays. Monitor plant health and identify signs of pests, diseases, nutrient deficiencies, water stress, and other environmental issues. Support the implementation of Integrated Pest Management (IPM), including monitoring, preventative measures, and appropriate control activities. Assist with soil preparation, amendments, mulching, fertilisation, and other plant-health activities. Support irrigation and watering activities and report signs of over- or under-watering. Assist with plant identification, labelling, inventory, and accurate maintenance of plant collection records and databases. Maintain high horticultural, aesthetic, and presentation standards across outdoor garden areas. Qualifications Bachelor's degree in Horticulture, Botany, Plant Sciences, or a related discipline. Additional training or certification in horticulture, plant identification, IPM, irrigation, or related areas is advantageous. Experience Minimum 3 years of relevant professional experience in outdoor horticulture, garden management, or landscape maintenance. Practical experience in planting, pruning, plant establishment, irrigation, soil preparation, fertilisation, mulching, and general plant care. Experience maintaining a range of trees, shrubs, groundcovers, herbaceous plants, and seasonal displays. Experience identifying common plants, pests, diseases, and environmental or plant-health issues. Experience supporting IPM programmes and routine plant-health monitoring. Experience with plant labelling, inventory, collection records, and basic horticultural databases is desirable. Practical experience using and maintaining common horticultural tools and equipment. Previous experience in a botanic garden, public garden, arboretum, nursery, major landscape, or comparable horticultural environment is preferred. Core Competencies Practical horticultural and plant-care skills Plant identification and basic plant-health assessment Understanding of Integrated Pest Management principles Safe use and care of horticultural tools and equipment Attention to detail and horticultural presentation standards Accurate record-keeping and organisational skills

Задачи: — проектирование и развитие игровых механик и систем; — анализ существующих механик и поиск точек для улучшения; — работа с экономикой, прогрессией, дропом, ресурсами и PvP; — анализ игровых метрик и поведения игроков; — поиск потенциальных эксплойтов; — подготовка задач для разработки; — ведение и актуализация игровой документации и GDD; — составление патчноутов; — сопровождение изменений от идеи до релиза. Требования: — системное мышление и понимание MMORPG; — умение находить причины проблем, а не только их симптомы; — способность прогнозировать последствия игровых изменений; — понимание игровой экономики, прогрессии и PvP; — умение работать с метриками и данными; — способность находить потенциальные эксплойты; — грамотное документирование игровых систем и изменений. Будет плюсом: — опыт работы с MMORPG и live-проектами, SQL и аналитическими инструментами, проектирование PvP и игровых экономик. Условия: — полностью удаленная работа; — гибкий график; — небольшая команда и быстрое принятие решений без лишней бюрократии; — возможность напрямую влиять на развитие и рост проекта; — конкурентное фиксированное вознаграждение по результатам собеседования; — свобода в выборе инструментов и подходов для достижения результата. Отбор: — первый обязательный этап — тестовое задание; — без выполнения тестового отклик не рассматривается; — после тестового — собеседование и обсуждение условий сотрудничества; — зарплата — по итогам собеседования.