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8 228 вакансий по запросу «Activation»Сначала свежие

Hasbro38 дн назад

Project Engineer (Preschool & Fashion Brands)

Location: Hong Kong We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Position Summary: We are seeking a highly motivated and diligent Project Engineer to join the Preschool & Fashion Engineering team. In this role, you will play a key part in crafting toys and deliver groundbreaking play experiences to reach more than 1 billion fans annually. The candidate will be owning the engineering development and delivery of innovative, safe, high-quality, and efficient products from concept through production launch, including PEPPA PIG, MY LITTLE PONY, BABY ALIVE and more. This role requires close collaboration with Product Design, Project Management, Packaging, Quality Assurance, and manufacturing partners to ensure successful product execution throughout the development lifecycle. The ideal candidate combines strong engineering fundamentals with excellent project management, communication, and problem-solving skills. Key Responsibilities: Product Development Lead engineering development activities for Preschool & Fashion product lines. Support new product development from concept evaluation through market introduction including feasibility study of concepts, estimate BOM cost and tool plan at initial stage. Partner internationally with multi-functional team to drive product development to meet specification within timeline. Analyze various engineering build options to work towards the best product performance, quality, efficient product cost and shortest development path. Product debug and drive issue resolution during development and production phases. On-site review to support manufacturing process development and continuous improvement. Find opportunities for cost reduction, material optimization, tooling efficiency Support alternative sourcing and material qualification programs. Issue and maintain product specifications, product & tool BOM Occasional travel to Mainland China or other countries Required Qualifications: Bachelor degree in mechanical engineering, manufacturing engineering, product engineering, or a related engineering field, with equivalent experience also considered. 2+ years of engineering experience in Production or Product development, ideally in the toy industry. Fundamental understanding of plastic toy manufacturing including plastic injection molding, product assembly processes and decorations. Basic knowledge in tool building and construction Understanding in Design for Manufacturing (DFM) and Design for Assembly (DFA). Preschool or Fashion dolls toys experience will be beneficial Pro-E, SolidWorks or other 3D modelling skills will be helpful Knowledge of toy regulations and standards would be advantage Essential Interpersonal Skills: Respects the process and company’s practices, don't worry about challenging the status quo. Problem solving skills and critical thinking. Innovative, passionate, initiative and adaptive, while we encourage everyone to express your ideas! Positive relationship, communication, strong presentation skills help bringing trust and boost productivity. Good command of written and spoken English and Chinese (Cantonese and Mandarin) Love Toys and Play! Create joy and community through the magic of play. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Hong Kong

Anthropic38 дн назад

Litigation Counsel

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 Anthropic's Legal team is looking for an experienced litigator to join our Litigation and Regulatory team. You'll manage a broad docket of litigation files and pre-litigation disputes with a high degree of autonomy, advise the business on litigation risk, and help build the systems and processes that let a growing litigation function operate well at scale. The matters you'll handle span intellectual property (particularly copyright), class actions, commercial disputes, and could include securities and shareholder disputes, in both first-party and third-party matters, in the U.S. and abroad. You'll partner closely with colleagues across Legal and teams throughout the company to resolve matters thoughtfully and with minimal disruption to the business. You may also support regulatory investigations and inquiries as needed. Key responsibilities Manage a broad range of litigation matters that could include intellectual property (particularly copyright) matters, class actions, regulatory and commercial disputes, and securities cases Direct outside counsel across all stages of litigation, from pre-suit response through discovery, dispositive briefing, trial or resolution and appeal, with a focus on strategic decision-making and filing excellent legal briefs Manage small disputes and escalations to limit business friction and minimize risk Advise company leadership and cross-functional partners on litigation risk, and develop appropriate strategic litigation plans, including matter-resolution proposals Design and implement processes, policies, and tools that help the litigation and regulatory team handle matters efficiently and at scale, such as matter intake, outside counsel budgeting, contingency reporting, and pre-litigation escalation run books Work cross-functionally to gather information efficiently and evaluate risk Support responses to regulatory investigations and inquiries as needed Stay up to date on relevant laws, litigation trends, and AI-related case law, and share developments with key stakeholders Mentor and develop team members through hands-on work on active matters Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Have litigated some combination of copyright, class action, securities, and regulatory matters Have broad experience handling complex civil litigation, with deep knowledge of litigation practice and procedure, discovery, and federal and/or CA state court rules Have managed litigation matters with significant independence, including setting case strategy, managing discovery, writing and improving legal briefs, and directing outside counsel Write and communicate clearly, with the ability to explain litigation risk and strategy, particularly for non-legal audiences at all levels of seniority Exhibit poise and judgment under pressure while balancing legal risk with business priorities Preferred qualifications At least 12 years of litigation experience with a combination of experience at a global-focused law firm and in-house Experience representing technology companies, particularly companies working in emerging technologies Experience building systems, processes, or tools for an in-house legal team, such as matter management, outside counsel budgeting, or litigation reporting Experience managing regulatory responses or investigations, including both first-party and third-party responses Creativity and openness to novel solutions when advancing business priorities while addressing legal risk Ability to think and work quickly, have a flexible risk tolerance, and a good sense of humor Low ego and a real willingness to roll up your sleeves to solve problems whether mundane or complex A thoughtful and empathetic colleague who works well with legal colleagues, outside counsel, and business partners A genuine interest in the development of AI that is both innovative and trustworthy, including the opportunities it creates and the risks and limitations that must be addressed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $385,000 — $460,000 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. 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.

Magic Eden38 дн назад

Senior Growth Product Manager AI Native

About Magic Eden and Dicey Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. They built a category-defining NFT marketplace from scratch and are now developing Dicey, a crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets. The team is small and fully remote, focusing on fast shipping, data-driven decisions, and rebuilding growth operations around AI. The role The position focuses on personalized retention in the iGaming industry, owning the full post-signup journey. Responsibilities include expanding the player segmentation framework, designing and running targeted offers and campaigns, and managing the associated P&L lever. The role is explicitly AI-native, involving building workflows, agents, and pipelines to run lifecycle campaigns efficiently. Half the job is problem identification, the other half is running experiments to find solutions. What you'll do — Own retention and monetization as a growth loop, setting targets, finding leverage, and driving post-signup metrics — Own and evolve the player segmentation framework, deciding signals and company usage — Build the AI-native growth stack including analysis, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution — Design and ship targeted offers such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences; size, specify, ship, and measure them — Analyze data warehouse and on-chain data to find patterns and create campaigns proactively — Expand player signals including on-chain activity, status-match programs, social account linking, and others — Run campaigns across channels like email, in-app, Telegram, with AI handling heavy lifting — Collaborate with engineering and design to create product surfaces that enable repeatable processes What they're looking for — Strong intuition for player psychology and incentive design; experience in gambling, gaming, fintech, or consumer marketplaces is helpful — Deep analytical skills, able to independently perform cohort analyses without waiting for data scientists — AI-native mindset, already using AI to write queries, build analyses, and automate work, with desire to advance further — High output with good judgment, generating many ideas and prioritizing tests effectively — Bias to do it yourself, comfortable executing emails, queries, and specs personally — Comfortable with ambiguity and building new playbooks Backgrounds that tend to fit — Growth PM at data-heavy consumer companies — MBB consultants transitioning to product ownership — Product-minded data scientists or analysts focused on shipping rather than reporting Why this is interesting — Competitive, top-of-market compensation — Defining the role of a growth PM in an AI-native company without existing playbooks — Early involvement in personalized retention, a key industry trend — Real ownership of segmentation framework, product surface, and P&L lever with direct access to founders

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