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The Paid Ads Specialist owns the day-to-day execution of Paid Ads Academy's own paid media, the campaigns that drive traffic and leads into our challenges, masterclasses, and evergreen funnels.

Spreetail is seeking a Sr. Director, Retail FP&A to lead Merchandise Finance in a high-visibility role reporting directly to our CFO, with close day-to-day partnership across our Chief Merchandising Officer, Chief Growth Officer, and Chief Operating Officer to design, build, and execute our retail merchandise plan.

Responsibilities: — Lead, mentor, and scale a team of 3 to 6 AI-driven Creative Designers, focusing on people growth as well as output. — Manage the production flow including task distribution, capacity planning, and strict quality control to ensure production-grade results. — Drive creative direction by developing concepts, hooks, and visual angles that effectively capture attention and convert. — Generate innovative ideas and encourage the team to move beyond safe iterations, guided by visual trends and competitor analysis. — Own the creative testing loop by building a database of successful creatives, analyzing failures, and using performance data to inform future iterations. — Monitor new AI models and tools, acting as the company's expert on creative possibilities with AI while remaining hands-on. — Conduct regular research and development, creating prompt and style libraries to maintain consistent quality as the team expands. — Stay actively involved with design tools such as Figma, Adobe Suite, and AI platforms to support the team, handle complex creatives, and experiment with new approaches. — Collaborate closely with the Generative AI Pipeline Engineer to translate creative needs into pipelines, presets, and automation. — Work in tight coordination with Creative Producers, Marketers, Media Buyers, and Video Editors to align strategies, negotiate deadlines, and resolve bottlenecks. Requirements: — Over 5 years of leadership experience managing creative/design teams in digital marketing. — Proven maturity as a leader and problem solver, capable of building clear processes, guiding teams, resolving conflicts gracefully, and embracing new ideas. — Strong project management skills ensuring projects are completed on time with top-tier quality and order. — Excellent visual craft skills including composition, lighting, color, typography, and anatomy, with the ability to articulate why a creative works or not. — Proficiency in design tools such as Figma and Adobe Creative Suite, with comfort integrating AI outputs into traditional design workflows. — Advanced knowledge and enthusiasm for AI, tracking new model releases and testing their impact on ad creatives. — Hands-on experience with modern AI image platforms like Figma Weave, Higgsfield, Magnific, Runway, or similar for creating photorealistic visuals. — Ability to select appropriate tools for tasks and correct artifacts. — Solid understanding of performance marketing static ad creatives across platforms like Google and Meta, knowing what drives CTR, CPA, and conversion rates. — Fluency in English, both spoken and written. Nice to have: — A strong portfolio demonstrating performance marketing creatives and AI-generated photorealistic work, ideally with leadership-driven results. — Experience with creatives for high-CPA verticals such as home improvement, insurance, health, legal, or finance. — Familiarity with creating visuals tailored for North American audiences. — Understanding of how static visuals integrate into video production pipelines. Benefits: — Fully remote work environment allowing choice of productive and comfortable location. — Generous paid vacation policy. — Unlimited sick days to ensure full recovery. — Support for ongoing learning including free books, workshops, and conferences. — Coverage for home office equipment and furniture expenses. — Medical insurance coverage and allowance for flexible fitness programs. — Engaging and enjoyable work culture.

We are in search of a Senior Marketing Expert from DeFi Space. We require someone who will drive brand and product awareness, monetization, user acquisition and market expansion.

As a Google Ads Media Buyer, you will take ownership of paid advertising strategies and campaign performance for direct-to-consumer (DTC) eCommerce brands. Manage Google Ads accounts end-to-end, taking ownership of campaign strategy, execution, optimization, budgets, and platform-specific client communications.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Brand & Communications Team The Brand & Communications team crafts and shares Affirm’s story to build trust, elevate our brand, and drive business impact. The Brand Creative team leads conceptually bold, strategically grounded work across channels—from owned content to paid media. The PR & Communications team handles internal and external messaging, ensuring our values show up in media, exec visibility, and employee storytelling. Together, we manage brand strategy, content, campaigns, media relations, and communications. We connect meaningfully with customers, partners, and the public while championing Affirm’s mission. About the Role We want more people to understand what makes Affirm different and choose us with confidence. To make that happen, we need a rigorous understanding of our audiences and a clear, measurable view of whether our story is resonating. The Senior Manager, Narrative Intelligence will build the analytical intelligence function behind Affirm’s Brand & Communications strategy. You’ll connect original research, Affirm’s first-party data, brand and media measurement, behavioral signals, and external datasets to understand our audiences, identify what shapes their perceptions, and find where our story can connect more meaningfully. You’ll turn a complex mix of data into a clear point of view that shapes Affirm’s narrative and the work we put into the world. Then you’ll close the loop: defining how we measure narrative performance, determining what is and isn’t working, and identifying what we should do differently as a result. The ambition is to make intelligence an operating system for the work—not a report that arrives after it—and set a new standard for how Brand & Communications uses data to make decisions What You’ll Do Build an evidence-based understanding of our priority audiences. Lead research and analysis into who they are, what they value, how they behave, what they believe about Affirm and the category, and what could change those beliefs. Use segmentation, surveys, behavioral data, and other analytical approaches to identify the variables that matter most. Develop Affirm’s narrative measurement framework. Define the metrics, methodologies, and baselines we use to evaluate narrative performance across audiences, channels, and time horizons. Partner with Analytics, User Research, Marketing, and other teams to strengthen attribution, experimentation, and our understanding of how narrative and reputation contribute to business outcomes. Build the team’s intelligence system. Create the tools, dashboards, analytical standards, and shared knowledge base that make audience intelligence and performance data easy to find, interpret, and apply. Help the broader team become more analytically confident over time. Own the narrative feedback loop. Build a continuous, data-informed picture of how Affirm’s story is landing. Diagnose what is breaking through, what is being misunderstood or ignored, where perceptions are shifting, and what the evidence suggests we should do next. Connect the evidence. Bring together qualitative research, surveys, brand health, media and social intelligence, search and cultural signals, campaign performance, behavioral data, and Affirm’s own customer and business data. Draw on credible external research about culture, commerce, credit, and the forces shaping how people think and behave. Find patterns, test relationships, surface contradictions, and assess the strength of the evidence. Turn analysis into narrative strategy. Translate findings into clear implications for Affirm’s positioning, messaging, campaigns, content, and communications planning. Partner with the Head of Story to build and evolve Affirm’s narrative based on what the data tells us. Design studies that answer consequential questions. Turn ambiguous business and communications questions into testable hypotheses and rigorous research. Choose the right mix of surveys, experiments, observational analysis, and qualitative inquiry to produce evidence the team can act on. What We Look For You’re driven to understand people through data. You’re curious about the beliefs and motivations beneath human behavior and equally interested in whether the evidence supports the story being told. You’ve spent 12+ years in consumer analytics, audience insights, data science, measurement, strategic intelligence, quantitative research, or a related field. You’ve used analysis to shape brand, communications, marketing, product, or creative strategy. You’re highly fluent in quantitative research and analysis. You’re comfortable with survey design, segmentation, statistical inference, experimentation, measurement design, and large or imperfect datasets. You work directly with data, using tools such as SQL, statistical platforms, data visualization, or business intelligence tools. You know how to build a complete picture from different forms of evidence. You can integrate qualitative insight and quantitative analysis, account for the limits of each source, and translate concepts such as trust, relevance, reputation, and narrative resonance into thoughtful analytical frameworks. You turn analysis into decisions. You can take a messy body of evidence, determine which signals matter, and explain what they mean for the narrative, the work, and the choices in front of us. Your conclusions are clear, memorable, and useful to both analytical and creative audiences. You work well across analytical, strategic, and creative disciplines. You can collaborate credibly with data scientists and researchers, then translate the work for writers, strategists, executives, and communications leaders. You’d rather discover something inconvenient than confirm what everyone already believes. You test assumptions, challenge weak evidence, and follow the data—even when it complicates the current story. Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 This posting is for an existing vacancy. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Brand & Communications Team The Brand & Communications team crafts and shares Affirm’s story to build trust, elevate our brand, and drive business impact. The Brand Creative team leads conceptually bold, strategically grounded work across channels—from owned content to paid media. The PR & Communications team handles internal and external messaging, ensuring our values show up in media, exec visibility, and employee storytelling. Together, we manage brand strategy, content, campaigns, media relations, and communications. We connect meaningfully with customers, partners, and the public while championing Affirm’s mission. About the Role We want more people to understand what makes Affirm different and choose us with confidence. To make that happen, we need a rigorous understanding of our audiences and a clear, measurable view of whether our story is resonating. The Senior Manager, Narrative Intelligence will build the analytical intelligence function behind Affirm’s Brand & Communications strategy. You’ll connect original research, Affirm’s first-party data, brand and media measurement, behavioral signals, and external datasets to understand our audiences, identify what shapes their perceptions, and find where our story can connect more meaningfully. You’ll turn a complex mix of data into a clear point of view that shapes Affirm’s narrative and the work we put into the world. Then you’ll close the loop: defining how we measure narrative performance, determining what is and isn’t working, and identifying what we should do differently as a result. The ambition is to make intelligence an operating system for the work—not a report that arrives after it—and set a new standard for how Brand & Communications uses data to make decisions What You’ll Do Build an evidence-based understanding of our priority audiences. Lead research and analysis into who they are, what they value, how they behave, what they believe about Affirm and the category, and what could change those beliefs. Use segmentation, surveys, behavioral data, and other analytical approaches to identify the variables that matter most. Develop Affirm’s narrative measurement framework. Define the metrics, methodologies, and baselines we use to evaluate narrative performance across audiences, channels, and time horizons. Partner with Analytics, User Research, Marketing, and other teams to strengthen attribution, experimentation, and our understanding of how narrative and reputation contribute to business outcomes. Build the team’s intelligence system. Create the tools, dashboards, analytical standards, and shared knowledge base that make audience intelligence and performance data easy to find, interpret, and apply. Help the broader team become more analytically confident over time. Own the narrative feedback loop. Build a continuous, data-informed picture of how Affirm’s story is landing. Diagnose what is breaking through, what is being misunderstood or ignored, where perceptions are shifting, and what the evidence suggests we should do next. Connect the evidence. Bring together qualitative research, surveys, brand health, media and social intelligence, search and cultural signals, campaign performance, behavioral data, and Affirm’s own customer and business data. Draw on credible external research about culture, commerce, credit, and the forces shaping how people think and behave. Find patterns, test relationships, surface contradictions, and assess the strength of the evidence. Turn analysis into narrative strategy. Translate findings into clear implications for Affirm’s positioning, messaging, campaigns, content, and communications planning. Partner with the Head of Story to build and evolve Affirm’s narrative based on what the data tells us. Design studies that answer consequential questions. Turn ambiguous business and communications questions into testable hypotheses and rigorous research. Choose the right mix of surveys, experiments, observational analysis, and qualitative inquiry to produce evidence the team can act on. What We Look For You’re driven to understand people through data. You’re curious about the beliefs and motivations beneath human behavior and equally interested in whether the evidence supports the story being told. You’ve spent 12+ years in consumer analytics, audience insights, data science, measurement, strategic intelligence, quantitative research, or a related field. You’ve used analysis to shape brand, communications, marketing, product, or creative strategy. You’re highly fluent in quantitative research and analysis. You’re comfortable with survey design, segmentation, statistical inference, experimentation, measurement design, and large or imperfect datasets. You work directly with data, using tools such as SQL, statistical platforms, data visualization, or business intelligence tools. You know how to build a complete picture from different forms of evidence. You can integrate qualitative insight and quantitative analysis, account for the limits of each source, and translate concepts such as trust, relevance, reputation, and narrative resonance into thoughtful analytical frameworks. You turn analysis into decisions. You can take a messy body of evidence, determine which signals matter, and explain what they mean for the narrative, the work, and the choices in front of us. Your conclusions are clear, memorable, and useful to both analytical and creative audiences. You work well across analytical, strategic, and creative disciplines. You can collaborate credibly with data scientists and researchers, then translate the work for writers, strategists, executives, and communications leaders. You’d rather discover something inconvenient than confirm what everyone already believes. You test assumptions, challenge weak evidence, and follow the data—even when it complicates the current story. Pay Grade - N Equity Grade - 10 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $255,000 USA base pay range (all other U.S. states) per year: $173,000 - $213,000 Please note that visa sponsorship is not available for this position. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Berlin, Germany About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is the leading local commerce platform in several markets across Europe and Asia. Wolt makes it incredibly easy for you to discover and get what you want. Delivered to you – quickly, reliably and affordably. And by doing so, we make cities better places to live. Wolt is embarking on a very exciting journey: to build one of the most important Retail Media ecosystems in the 23 countries we operate, so brands can leverage consumer insights, connect with shoppers via advertising  in-app and off-app and deliver unforgettable brand experiences to our millions of shoppers. About the Role We are seeking an experienced B2B Lifecycle Marketing Automation Manager to join our Wolt Ads team. The successful candidate will be responsible for managing the Wolt Ads Lead Lifecycle process and for our customer relationship management (CRM) activities to drive engagement, retention, and revenue growth. The Marketing Automation Manager will work closely with the marketing and sales teams to develop and execute effective communications campaigns that increase customer loyalty and lifetime value. About the team Our Wolt Ads Product team is responsible for building our Ads business across 23 countries. Together with our in-market sales teams, the Marketing Automation Manager is responsible for setting up automated marketing communication programs that create, grow and retain Wolt Ads customers for both restaurants, retail and brands, as well as integrating communications with our Sales and Account management processes. You will understand lead generation, including lead scoring and qualification, and partner with local Ad managers and Sales Ops. You'll provide guidance, reporting and lead-stage insights so Salesforce follow-up on leads is consistent across countries. You will need to be a strong communicator with the ability to create and analyze reports about the customer lifecycle and client re-engagement. SQL is a plus, as are BI skills such as Looker and strong Excel skills. In this role, you will be reporting to our B2B Lifecycle Marketing Lead, and working with key stakeholders across B2B Marketing, Global Ads and Wolt Ads Strategy teams. What you’ll be doing Own and develop the Wolt Ads lifecycle marketing strategy across restaurants, retail partners, brands and agencies, focusing on activation, retention, reactivation and growth. Build and optimise automated, personalised customer journeys across channels such as email, in-app messaging, push notifications and SMS. Partner with Sales and Sales Operations to improve lead nurturing, qualification and handoff, ensuring a consistent experience across markets. Use customer data and segmentation to identify opportunities, personalise campaigns and improve the customer experience throughout the lifecycle. Measure and report on lifecycle performance, including conversion, retention and revenue, using insights and A/B testing to improve results. Work with Data and Engineering teams to maintain accurate customer data and reliable integrations between Salesforce, Customer.io and other systems. Collaborate with Marketing, Product and local teams to plan and deliver campaigns that scale across markets, while following data privacy and communication best practices. Manage and develop a Junior Lifecycle Marketing Manager, providing coaching, feedback and clear priorities. Scope and accountability: You will be accountable for: revenue influenced by lifecycle programmes; lead-to-first-campaign conversion and time to first campaign; retention and repeat-campaign rate; data quality and sync health in Customer.io; and the output and development of one direct report. You will independently: diagnose funnel drop-offs and redesign journeys to fix them; prioritise competing requests from Sales, Product and Marketing against a single communications calendar; and adapt programmes to local languages, regulations and sales processes across 23 countries. Qualifications: Bachelor's degree in marketing, business administration, or a related field, or equivalent experience. 4-6 years of experience in CRM or lifecycle marketing, in a B2B, ads or SaaS environment. Strong analytical skills and the ability to interpret data to inform decision-making. SQL and BI skills (e.g. Looker) are a plus. Hands-on experience with a marketing automation platform such as Customer.io (or similar) and with Salesforce. Excellent written and verbal communication skills. Ability to work independently and manage multiple projects simultaneously. Experience designing A/B and incrementality tests and measuring revenue influence. Knowledge of GDPR and other data protection regulations and best practices. Experience coaching or mentoring junior team members. What we offer An opportunity to be part of one of the fastest-growing media ecosystems in Europe Hands-on experience in digital advertising operations and campaign optimization A dynamic, international, and collaborative work environment The chance to make a tangible impact on partner success and Wolt’s advertising business Great benefits and clear opportunities for career growth Why you’ll love it 🚀Global and growing fast: Be part of a fast-moving scaleup 🤩Ride of a lifetime: Accelerate your career and build your sales skills 💪Instant impact: Take ownership and make a difference 💙Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Los Angeles, USA The Insights discipline helps empower Rioters' decision-making to be more data-informed. We're an interdisciplinary group of scientists, consultants, and strategists from all sorts of backgrounds who join together to represent and advocate for gamers around the world. We believe that illuminating the globally diverse experiences, behaviors, and needs of gamers is critical to Riot living up to our player-focused mission. We're a group united by our love of games, science, and helping others succeed. As a Manager, Insights on the Riot Discovery Studio Insights (RDSI) team, you’ll oversee the efforts of one or more team members delivering critical insights and validation to our R&D games. You and your direct reports will conduct studies and analyses to inform the direction, experience, and systems of Riot’s future games. You will report to the research lead of RDSI and contribute to their overall efforts to lead the team and grow its capabilities. These responsibilities will include: helping to ensure the overall quality of insights delivered, supporting/driving team processes, and generating new ideas or capabilities that improve how we do research. Your research skill set, strong communication skills, and mentorship capabilities will ensure that we have a high function and efficient centralized research team that can help ensure our games have the information they need about their audience to make games in a player focused way. You will report to the Sr. Manager, Insights on the team. Responsibilities: Drive user research efforts on game teams in partnership with production and design leadership on high complexity, ambiguous problem spaces to help direct the experience of our new games, systems, and features. Construct and perform labs, studies, and surveys - sometimes with novel or complex methodologies - designed to answer business, design, development, and usability questions. Ensure the quality of research delivered by your direct reports. Support the RDSI lead in their efforts to improve our broad capabilities in providing insights to game teams. Support discussions on prioritization of research efforts, balancing the research needs of game teams and the central research team. Advise game teams in a strategic capacity, helping to inform their game thesis and roadmap for Insights and validation. Manage and grow more junior and mid-level researchers. Inform operational best practices and craft standards for user research in RDS. Share your results with game and RDS leadership in clear, illustrative presentations that drive meaningful impact. Required Qualifications: Education background in one of the following categories: Advanced degree in Psychology, Anthropology, Human-Computer Interaction, Cognitive Science, Human Factors or a related discipline plus 4 years of relevant research experience in game development Bachelor's degree in Psychology, Anthropology, Human-Computer Interaction, or a related discipline plus 6 years of relevant research experience in game development. Experience running playtests and usability tests in a variety of paradigms, potentially including moderated testing, unmoderated testing, focused feature-specific testing, holistic and longitudinal testing, and more complex or constrained testing paradigms. Experience conducting multi-modal audience and/or market research potentially including large scale surveys, moderated research communities, focus groups, and persona/profile generation. Experience doing qualitative and quantitative data analysis. Experience managing other researchers. Experience leading complex projects with multiple collaborators and work streams. Experience synthesizing and presenting data for maximum impact and understanding. Desired Qualifications: Experience conducting games user research during the early stages of the development lifecycle, particularly incubation, prototype, and pre-production. Familiarity with basic statistical methods for data analysis (regressions, correlations, factor analyses). Experience working on multiple different types of games. Experience managing vendors. Mandarin fluency preferred, along with prior experience collaborating with teams in China. For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Mountain Home, Idaho Behavior Technician (RBT) –Mountain Home, ID Company: Common Ground Learning, a Finni Health company Job Type: Full-time or Part-time Schedule: Approximately 11:30 AM - 6:30 PM; both FT (30+ hrs/week) and PT (under 30 hrs/week) schedules available Location: In-person – Mountain Home, ID Pay: $18–$25 per hour About the Role Common Ground Learning, a Finni Health company, is seeking a dedicated and compassionate Registered Behavior Technician (RBT) to join our team in Mountain Home, ID. In this role, you will work one-on-one with children in their homes, using Applied Behavior Analysis (ABA) therapy techniques under the supervision of a Board Certified Behavior Analyst (BCBA) to make a meaningful impact on their development and daily life. What You'll Do - Deliver in-person ABA therapy in a child's home - Follow behavior intervention plans designed by a BCBA - Collect and record data on client progress and behaviors - Participate in supervision sessions with a BCBA - Attend required team meetings and training sessions What We Offer - Competitive hourly pay: $18–$25/hour - Wellness Reimbursement: We believe that taking care of yourself is just as important as taking care of others. Eligible full-time employees can receive reimbursement of up to $125 per month for qualified wellness expenses, including gym memberships, massages, wellness apps, therapy, nutrition counseling, and more! It's one of the many ways we support your overall health and well-being. - Career growth opportunities within the ABA field - Mileage reimbursement - Health, dental, and vision insurance (for full-time employees) What You'll Need - High school diploma or equivalent - Experience working with children - Passion for supporting children with special needs - Reliable transportation - Completion of the 40-hour Behavior Technician training (required) - Active CPR certification (Preferred) - RBT certification preferred not required Physical Requirements - Ability to lift up to 50 pounds - Ability to kneel, squat, crawl, sit, and stand for extended periods - Comfortable engaging in play and physical activity with children About Us – Common Ground Learning, a Finni Health Company Common Ground Learning partners with Finni Health to provide compassionate, in-home ABA therapy. Finni Health supports local BCBAs and technicians with tools, training, and operational excellence to deliver high-quality care to families in their communities. Together, we are redefining how autism care is delivered—one child at a time. License/Certification - CPR Certification (Preferred) - RBT Certification (Preferred) Background Check All candidates must pass a background check. Employment offers are contingent upon successful screening results to ensure the safety of the children and families we serve.

Location: San Francisco; New York Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.   THE ROLE We're looking for a hands-on IT leader to build and run the business systems that help Alchemy work. You'll own enterprise applications and their integrations, manage and develop the IT team, and help teams across the company redesign how they work with AI. This is a player-coach role. You'll configure applications, write integrations, debug workflows, and ship automations yourself. You'll also set priorities, coach engineers, manage performance, and keep day-to-day IT service dependable. You'll identify recurring manual processes, build automations or agent workflows, and decide which steps need human review. You'll deploy and test those systems and teach the team to maintain them.   WHAT YOU WILL DO - Own business applications. Lead technical administration and improvement of Salesforce and connected sales tools, People Ops systems such as Rippling and ChartHop, and other business applications as priorities require. Partner with business owners on configuration, data quality, permissions, and technical escalations. - Build across systems. Write and maintain API integrations, scripts, and workflows that connect applications, reconcile data, and automate employee and business processes. Own testing, monitoring, failure recovery, and documentation. - Redesign work around AI. Partner with Sales, People Ops, Recruiting, Finance, and Legal to identify workflows worth rebuilding. Deliver agents and automations that can gather context, carry out authorized steps, verify results, and escalate exceptions to the right person. - Manage the team. Set priorities and expectations, run regular feedback and development conversations, hire, and manage performance. Balance service coverage with project work and make clear tradeoffs when demand exceeds capacity. - Raise the team's AI capability. Build alongside engineers, review their work, and turn successful approaches into shared tools, skills, and runbooks. Make AI-assisted building and verification part of how the team delivers work. - Keep IT service reliable. Oversee support quality, onboarding and offboarding, escalations, and operational coverage with the engineers responsible for service desk, identity, endpoints, and office technology. Jump into difficult issues when needed. - Make automation safe to operate. Partner with Security on least-privilege access, sensitive-data handling, audit trails, and approval boundaries. Use explicit approvals for high-impact actions and provide a way to stop or roll back failed automation. - Own the application roadmap and spend. Evaluate tools, manage vendor relationships and renewals, and bring application expertise in-house where it improves service or cost. Measure improvements through reliability, turnaround time, manual work removed, and adoption by the teams served.   WHAT WE ARE LOOKING FOR - Deep hands-on experience administering enterprise SaaS applications and building integrations; strong Salesforce experience and the ability to learn unfamiliar business systems. - Experience managing technical staff, including coaching, prioritization, hiring, and performance management. You're comfortable staying close to implementation. - Ability to build and debug with APIs, scripting, and workflow platforms such as n8n or Okta Workflows, with sound practices for testing and production changes. - Evidence of shipping AI-enabled workflows that other people use. You can explain what you delegated to AI, what you verified, where it failed, and how you improved it. - Experience helping a team adopt new tools and working practices, including supporting people with different starting skill levels. - Strong judgment about identity, access, employee data, and business-critical changes. You know when deterministic automation or a human decision is the better choice. - Ability to translate business needs into technical work, explain tradeoffs, and follow through on operational details.   HELPFUL EXPERIENCE - Supporting People Ops, Recruiting, Finance, or Legal applications alongside sales systems. - Employee lifecycle automation, identity integrations, and IT service management. - Building agent integrations, reusable skills, or evaluation suites with an internal AI platform.   WHAT SUCCESS LOOKS LIKE - Business systems have clear technical ownership. - The IT team delivers dependable support and application improvements, with fewer recurring manual tasks. - Teams across the company use workflows you've helped build, and your engineers can extend and operate them without depending on you for every change.   BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: New York; San Francisco Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.   THE ROLE We're looking for a Security Operations Engineer to improve how Alchemy detects threats, investigates incidents, and reduces operational security risk. This is a hands-on individual-contributor role with no people-management responsibilities. You'll investigate suspicious activity and build the systems that make the next investigation faster and more reliable. AI-assisted engineering and investigation should be part of your daily work: connecting evidence, developing detections, building response workflows, and checking the results against source data. You'll also help the team get better at this work. Through shared tooling, code review, pairing, and practical documentation, you'll give teammates capabilities they can use independently.   WHAT YOU WILL DO - Detect and investigate threats. Triage alerts, hunt for suspicious activity, and investigate across cloud infrastructure, corporate systems, identity, endpoints, and production environments. Establish what happened from evidence and communicate uncertainty clearly. - Engineer detection coverage. Build and tune detections, onboard useful telemetry, and maintain reliable log pipelines. Test rules against representative attacks and benign activity; address missing coverage and noisy alerts. - Respond to incidents. Participate in the security on-call rotation and incident response, including scoping, containment, recovery, and post-incident improvements. Preserve evidence and coordinate changes with system owners. - Build AI-assisted security workflows. Automate evidence collection, alert enrichment, investigation timelines, and response preparation. Connect agents to approved tools and data sources so they can complete bounded tasks with traceable results. - Verify before trusting. Evaluate AI-assisted workflows against known cases and adversarial inputs. Require evidence for conclusions, test false-positive and missed-threat behavior, and keep human approval for disruptive containment actions. - Reduce operational exposure. Partner with Infrastructure and IT on vulnerability remediation, cloud and host hardening, identity controls, and attack-surface monitoring. Prioritize findings by exposure and impact, then verify remediation. - Help secure agent operations. Work with platform and product-security partners on operational controls for agent identities, credentials, tool access, and audit logging. Investigate misuse and build detections for suspicious agent behavior. - Improve how the team works. Share reusable code, investigation skills, runbooks, and evaluation cases. Pair with teammates, review automation, and teach approaches they can apply to their own investigations. - Measure defensive outcomes. Track detection coverage, alert quality, investigation effort, response time, and remediation progress. Use those measures to decide what to improve next.   WHAT WE ARE LOOKING FOR - Hands-on security operations experience spanning detection engineering, threat hunting, and incident response. - Strong scripting and software-building ability, especially Python; experience with APIs, version control, tests, and operating automation in production. - Experience with a SIEM such as Panther, Splunk, or an equivalent platform, including detection logic and log analysis. - Working knowledge of cloud security, identity, endpoint telemetry, networking, and Linux systems. Ability to investigate across system boundaries. - Evidence of building and using AI-assisted tools in security or adjacent engineering work. You can show how you validate outputs, handle failures, and protect sensitive information. - Sound incident judgment: you can separate a hypothesis from a finding, preserve evidence, and choose when to escalate or contain. - A record of making teammates more effective through tools, mentoring, code review, or documentation, without needing management authority. - Clear written communication and the willingness to own both urgent investigations and the follow-through that prevents repeat incidents.   HELPFUL EXPERIENCE - AWS, Kubernetes, bare-metal infrastructure, detection-as-code, or SOAR workflows. - Digital forensics, threat intelligence, or testing detections through attack simulation. - Securing AI agents and tool integrations, including prompt injection, credential misuse, and data-exfiltration risks. - Blockchain infrastructure or other environments with sensitive keys and high-impact production systems.   WHAT SUCCESS LOOKS LIKE - Investigations reach evidence-backed conclusions faster. Detection coverage improves, repeat noise declines, and remediation is verified. The team adopts tools and workflows you've built, with clear limits on what agents may do and a tested path for handling failures.   BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Remote: United States About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. At Neo4j, our Solution Engineers are pivotal to our company’s success. As a member of our regional go-to-market team, you will partner with our sales executives, working closely with clients to showcase how the Neo4j Graph Intelligence Platform addresses their critical business needs.  Neo4j Solution Engineers play a central, hands-on role as clients consider and evaluate Neo4j technology, and support customers in an advisory capacity throughout their journey to value realization.  SE’s work with organizations across industries such as Financial Services, Telecommunications, Technology and Life Sciences understand the business and technical value of representing data using Neo4j graph database and analytics technology. You will grow as a thought leader in graphs and solve our customers’ high-value problems beyond traditional data solutions. What Success Looks Like: Developing and honing subject matter expertise to effectively discern and understand the true needs of our customers, present technology solutions that target those needs, and all in all, demonstrate thought leadership and the value of Neo4j through platform and use case demonstrations, solution architecting, workshops, and conferences. Meeting and exceeding regional revenue goals, as a result of helping Sales to qualify and validate opportunities from a technical perspective and accelerate the sales cycle and adoption of Neo4j. Collaborating effectively with Sales, Professional Services, Partners, Product Management, etc to deliver continuous value to customers and ensure a seamless customer experience as they embark on the graph journey. What You’ll Do: Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services Actively drive and run the technology evaluation stage of the sales cycles. Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria. Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j. Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment. Stay current on latest Neo4j capabilities, including but not limited to usage and integration with third-party tools and services. Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales. Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows. Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement. Travel as needed to assist in deal creation and closure, and provide support to your team as required. What You’ll Bring: 5+ years of customer-facing experience in a similar capacity (Sales/Presales/Solutions Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth, scaling environment. Experience working with different data technologies in either of the following areas: enterprise data architecture, data analytics, data science or cloud data architecture. Familiarity with graph data technology is essential.  Working knowledge of Neo4j is a strong plus! Hands-on experience and proficiency with relational (SQL) and/or NoSQL databases, and at least one of the following languages: Python, Java, JavaScript, Go, C#. Successful track record in designing, developing, and implementing data solutions in the public cloud (AWS, Azure, or GCP) or on-premise. Ability to engage and communicate ideas to both technical and non-technical audiences at all levels through presentations, whiteboarding, and platform demonstrations. Technical savviness and business acumen to translate technical concepts and patterns into valuable business outcomes. Passion for learning new technologies (especially graphs!), developing new ways of data modeling, and spearheading change management. An entrepreneurial mindset, with the ability to prioritize, pivot, and problem-solve. The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual On Target Earnings Range $200,000 — $265,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

We're looking for a Paid Media Coordinator to help grow Zanda's reach and connect more health professionals with the tools they need to run successful practices. In this hands-on role, you'll manage our advertising, sponsorship, and association partnerships across international markets.

Location: Los Angeles, California, United States Company Overview At Veo, our mission is to end car dependency by making clean transportation accessible to all. A leading shared micromobility provider in North America, Veo provides millions of bike and scooter rides annually in over 60 cities and universities from Los Angeles to New York City. Veo offers the most diverse and accessible vehicle fleet in the country built to expand who can ride and what trips are possible. We design and manufacture our vehicles, hardware, and software systems in-house and operate our local markets directly to ensure safe and reliable service. As the first profitable micromobility company in North America, Veo is built for long-term growth and partnership with cities. Veo has been recognized as one of Fast Company’s Most Innovative Companies and a Top GreenTech Company by TIME. As we continue to scale, we are looking for exceptionally talented individuals who are excited to help shape the next era of micromobility. Job Summary As Veo's Head of People, you will lead our people and talent strategy while serving as an active business leader on the Executive Leadership Team. You will partner closely with the Co-Founders, C-suite, and leaders throughout the company to build the teams, leadership capabilities, and organizational practices that drive ridership, operational performance, and sustainable growth. With your strong business acumen, experience leading People functions in growing organizations, and ability to translate business priorities into action, you will oversee People Operations and Talent Acquisition, strengthen employee engagement and retention, and build scalable systems that improve the employee experience. This role requires to be on-site in Veo's Santa Monica HQ 4 days a week (currently Monday - Thursday). Responsibilities Leadership and Business Strategy Serve as an active member of the Executive Leadership Team, contributing to company strategy, business decisions, and execution across functions. Partner with the C-suite and company leaders to identify how organizational structure, leadership effectiveness, talent, and workforce performance can drive ridership and improve business results. Develop and execute a comprehensive people strategy aligned with Veo's short-term and long-term goals, balancing growth, workforce capability, and cost discipline. Lead organizational planning and change management to support expansion, evolving business needs, and effective collaboration across corporate, field operations, and international teams. Strategic Human Capital Advisory Serve as a trusted advisor to senior leaders on organizational design, workforce planning, talent assessment, and complex people decisions. Coach executives and managers to set clear expectations, provide actionable feedback, address performance concerns, and build accountable teams. Lead performance management, career development, succession planning, and leadership development programs that strengthen management capabilities and prepare future leaders. Use workforce data and business insights to identify talent gaps, assess organizational effectiveness, and recommend measurable improvements. People Operations and Employee Experience Lead People Operations across the employee lifecycle, including onboarding, employee relations, engagement, retention, and offboarding. Develop and implement employee engagement and retention strategies, translating employee feedback into clear actions and holding leaders accountable for follow-through. Oversee compensation, benefits, and total rewards strategy to attract and retain talent while maintaining internal equity, market competitiveness, and financial discipline. Build consistent policies, processes, and HR systems that support a distributed workforce; partner with Legal and relevant advisors to manage employment compliance and employee relations risks. Drive automation and responsible use of AI to streamline People processes, reduce administrative work, improve data quality, and deliver a more responsive employee experience. Talent Acquisition Lead Talent Acquisition across corporate, technical, and field operations roles, aligning hiring priorities and recruiting capacity with business needs and workforce plans. Build effective sourcing, screening, and interview processes that improve candidate quality, hiring decisions, and speed of execution. Partner with hiring leaders to define role requirements, prepare interview panels, and maintain consistent hiring standards and accountability. Strengthen Veo's employer brand and candidate experience, and track recruiting performance through quality of hire, time to fill, hiring costs, and retention. People Team Leadership and Performance Lead, develop, and mentor the People Operations and Talent Acquisition teams, establishing clear priorities, ownership, and service expectations. Manage People function budgets, vendors, and resources to deliver effective programs and scalable support. Develop and report key people metrics to the leadership team, connecting workforce trends and program outcomes to business performance. Requirements Bachelor's degree in Human Resources, Business Administration, or a related field; advanced degree or relevant HR certification preferred. Minimum of 10 years of progressive HR and People leadership experience, including at least 5 years leading a People function or serving in a senior HR leadership role within a high-growth organization. Experience supporting a geographically distributed workforce that includes corporate, technical, and hourly field operations teams; international experience preferred. Proven ability to operate as a business leader, influence executive decisions, and connect people strategy to operational and financial results. Strong expertise in People Operations, Talent Acquisition, organizational design, performance management, leadership development, and total rewards. Sound judgment in employee relations, employment compliance, and sensitive personnel matters, with the ability to balance employee needs and business priorities. Excellent communication, coaching, and collaboration skills, with the ability to build trust and drive accountability at all levels. Strong analytical and project management skills, including experience using HR technology, automation, and data to improve decisions and execution. A hands-on leadership approach, resilience in ambiguity, and a strong bias for action and follow-through. Compensation & Benefits: Total Cash Compensation: $220,000–$290,000 annually, including a base salary and annual performance bonus opportunity. Base Salary: $220,000–$270,000 Annual Performance Bonus: Additional earning potential based on performance Equity: Stock options Unlimited PTO Competitive Benefits Package: Medical, Dental, Vision, Short-Term Disability, and more 401(k) with company match Opportunity to work in a fast-paced technology company

We're looking for a senior field marketer to own the EMEA go-to-market motion end to end — from strategy through execution. * Define and own the EMEA field marketing strategy: the regional approach to pipeline generation, in-market presence, and customer engagement, aligned to revenue priorities.

Location: Beograd, Serbia; Europe Workplace: hybrid About The Role: We are looking for a technical analyst to join our FinCrime team as one of the owners of our rules framework, KPI and activity tracking, and the continuous improvement of our detection capabilities. You will identify gaps, propose solutions, and drive them to delivery alongside Product, Compliance, Network and Engineering, keeping us ahead of bad actors without hurting speed or user experience. What you'll co-own Rules lifecycle: design, build, test, tune and retire fraud and AML/TF detection rules, from hypothesis through backtesting and deployment to performance review. KPI framework: define, build and maintain metrics for detection effectiveness, false positives, losses, alert volumes and operational productivity. Activity tracking: reporting on rule changes, alert handling and team throughput, with dashboards that stakeholders actually use. Detection improvement: proactively find new typologies, data signals and controls, and turn them into live rules or models. What you'll do Build and improve detection logic: translate fraud and financial crime typologies into rules; use SQL and Python to backtest, simulate and measure impact before release. Monitor and analyze: track real-time and batch transaction data, spot anomalies and emerging attack patterns, and run deep-dives on loss drivers and rule performance. Drive automation: replace manual analysis and reporting with scalable pipelines, scheduled jobs and self-serve dashboards. Collaborate as a partner: Product and Engineering: define requirements, data needs and system enhancements. Compliance: make sure detection meets AML/TF, KYC and regulatory expectations, and support audits and partner due diligence. Network: align on Visa and Mastercard program requirements, thresholds and monitoring. Operations: use investigation feedback to refine rules and reduce noise. Support regulatory compliance: stay current on AML regulations, PSD2/SCA, and card scheme rules, and help embed them into controls. Take responsibility and escalate: document decisions and rule rationale clearly, and escalate material risks early. What You’ll Need To Be Successful In This Role: Experience in fraud or financial crime analytics, ideally in fintech, payments or high-volume B2C. Proven hands-on experience with rule-based detection: designing, tuning and evaluating rules, with clear trade-off thinking (catch rate vs. false positives vs. customer friction). Advanced SQL and experience with modern data platforms and large-scale data processing (distributed frameworks such as Spark or similar). Python for analysis and automation (pandas, notebooks, scheduled workflows), including experience working with large datasets. Solid understanding of fraud typologies and AML/TF concepts, and awareness of emerging trends. Knowledge of Visa and Mastercard tools, data and monitoring programs (AVS, 3DS, chargeback and fraud programs). Practical knowledge of payment methods (cards, tokenization, Apple Pay, Google Pay, etc.). Experience building dashboards in a BI tool (Looker, Tableau, Power BI or similar). Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked, while working as part of a team. Clear communication and documentation, able to explain data-driven decisions to technical and non-technical stakeholders. Nice to have Experience with rules engines or decisioning platforms and expression-based rule logic. Experience with advanced methods for anomaly detection (statistical, unsupervised or machine learning approaches) and applying them to fraud or financial crime use cases. Familiarity with how financial crime operations run day to day. Experience working with auditors or regulators, or supporting regulatory reviews and partner due diligence. What you'll achieve First 3 months Understand our products, detection framework, rules engine and data landscape. Learn our KPIs, tooling and key fraud and AML patterns. Build relationships across Product, Compliance, Engineering and Operations. Take responsibility for a first set of rules and ship your first tuning improvements. By 6 months Co-own the end-to-end rules lifecycle for your portfolio, with documented performance reviews. Launch a reliable KPI and activity tracking suite. Deliver your first automation that removes recurring manual work. By 12 months Be a key contributor and owner for detection effectiveness and reporting. Deliver measurable gains in loss reduction, false positive rate or operational efficiency. Have introduced new detection approaches and automation that strengthen our compliance posture. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work Research how models can learn efficiently from experiments and real-world feedback Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned Scale research ideas from prototype to production training runs Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities Minimum qualifications Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX Hands-on experience training or evaluating machine learning models Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results Ability to implement your own research ideas and diagnose problems in complex systems Ability to learn unfamiliar technical fields quickly and work productively with experts in them Clear communication and a collaborative approach to solving problems Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology Commitment to developing AI that is safe and beneficial Preferred qualifications Experience with reinforcement learning and pre-training on large language models, including environment and reward design Familiarity with large-scale language model training, evaluation, and inference pipelines Published research or practical experience in AI for science or engineering, or in long-horizon reasoning A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data Experience with large-scale data pipelines and technical or multimodal datasets Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.