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Location: Lagos, Nigeria Who we are At Renmoney, we believe financial inclusion should be simple and human. We are building an agile, collaborative and excellence-driven team where people are encouraged to take ownership and make an impact. The position As an Inventory Officer, you will be responsible for maintaining accurate records of company assets and inventory. You will support the proper documentation, tracking and management of company assets and inventory, while also providing administrative support to the team as required. What you'll do Maintain accurate documentation and records of company assets. Track company assets and ensure records are kept up to date. Maintain inventory records and monitor stock levels. Support the movement, allocation and tracking of inventory and company assets. Conduct regular inventory checks and reconcile records where necessary. Maintain organised documentation for easy tracking and reference. Support other administrative tasks and projects as assigned. We are the place for you if You are organised and detail oriented. You are comfortable managing records and keeping information accurate. You take ownership of your responsibilities and follow tasks through. You are reliable and able to work with minimal supervision. You are comfortable handling routine administrative tasks. You are willing to support the team where needed. This job is perfect for you if You enjoy keeping things organised and well documented. You pay close attention to details. You are comfortable working with spreadsheets and maintaining records. You can keep track of multiple items and follow up when necessary. You are proactive and willing to support beyond your core responsibilities. You will not enjoy this job if You do not enjoy routine record-keeping and administrative work. You are not detail oriented. You struggle to keep information organised and up to date. You prefer a role with little structure or follow-up. Requirements What you bring At least, HND degree in Business Administration, Accounting, Supply Chain, or a related field. 1–2 years of experience in inventory, asset management, administration or a related role. Good organisational and record-keeping skills. Proficiency in Microsoft Excel or Google Sheets. Strong attention to detail. Good communication and follow-up skills. The ability to work independently and manage routine tasks effectively. Benefits What's in it for you Gain broad exposure to asset and inventory management in a fast-paced fintech environment. Work with different teams across the organisation. Develop your administrative, documentation and coordination skills. Be part of a collaborative team where your work directly supports smooth business operations.

Location: France; Italy We are growing! We are currently looking to hire a Director, Luxury Market Intelligence & Insights . About CXG: Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide. The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation. We are passionate about delivering impact. Our clients include the world's most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction. We are looking for a thought leadership expert with the editorial vision to spot what matters next, the conviction to shape CXG's point of view, and the writing talent to make it influential across luxury retail, beauty and cosmetics, watches and jewellery, automotive, and hospitality. Context and role Reporting to the Chief of Staff, you will lead CXG's Thought Leadership and Market Intelligence functions. You will define the topics on which CXG should have a distinctive and credible point of view, turn CXG's proprietary data, expertise and market knowledge into original external content, and position the company ahead of emerging developments in customer experience, luxury and its priority verticals. This is a hands-on role: you will research, analyse, write and produce content yourself, while mobilising expertise and data from across the business. You will be accountable for ensuring that every publication presents a recognisable CXG angle rather than simply reporting market developments or repeating established industry views. You will manage one Market Intelligence team member. Thought Leadership Development Define the thought leadership strategy and roadmap, including priority themes, target audiences, formats and a realistic publication calendar. Drive and coordinate content creation across Practices, Solutions and Regions. Work closely with Practices, Regions and Solutions to: Push: scan for trends and hot topics and ensure CXG has a voice and perspective, commenting regularly on these subjects. Pull: identify and collect new ideas and proposed topics from the relevant stakeholders, prioritise and incorporate them into the thought leadership roadmap. Use market intelligence, CXG's proprietary data, internal expertise and client-facing insights to identify emerging topics early, develop a clear CXG point of view and decide where CXG can make a credible contribution to the conversation. Research, interview internal experts, write and edit articles, perspectives and other thought leadership content directly. Challenge generic claims and ensure each piece advances a clear argument and is supported by credible evidence. Ensure that analysis is methodologically sound, appropriately contextualised and presented without compromising client confidentiality. Develop topics that connect expertise across Practices and Regions, while reflecting relevant differences between markets. Thought Leadership Communication Ensure relevant thought leadership pieces (e.g., perspectives, publications) are disseminated on a periodic basis. Work with Marketing on the publication, distribution and promotion of content, while retaining ownership of the editorial strategy, substance, quality and consistency of CXG's point of view. In addition, collaborate with Marketing to maximise impact by communicating through the channels relevant to each market. Track the reach, engagement and qualitative response generated by CXG's thought leadership, as well as relevant business enquiries influenced by published content. Use the findings to refine the roadmap. Shape and host or contribute to CXG's podcast "The Luxury Edit", working with internal experts and guests to develop topics, prepare interviews and turn conversations into useful content. Develop the content and key messages for CXG-hosted events and external conferences, panels and talks; act as a CXG speaker where appropriate; and work with internal experts to prepare other CXG speakers and turn the company's point of view into compelling presentations and discussion topics. Look for and test new thought leadership formats (e.g., interactive reports, data visualisations, short-form video, newsletters, social-first content) to broaden reach, engage new audiences and keep CXG's content distinctive. Identify and build collaborations with conferences, specialised industry magazines and universities (e.g., content partnerships, guest articles, co-branded publications, joint research, guest lectures, speaking slots) to extend CXG's visibility and credibility with target audiences. Market Intelligence Keep abreast of market and competitive developments and ensure relevant findings are communicated across CXG. Translate these findings into clear implications for CXG's strategic priorities, client conversations, commercial opportunities and external thought leadership. Contribute market intelligence, evidence and relevant CXG perspectives to priority proposals and client deliverables, working with Practices, Solutions and Regions to strengthen the quality and relevance of the final output. Manage and develop the Market Intelligence team member, setting clear priorities and reviewing the quality and usefulness of their work. Competitive Analysis Develop and continuously update a list of CXG competitors. Research competitor performance, including revenues and market share where reliable information is available. Identify and assess the impact of new competitors' offerings. Review competitors' thought leadership, influence and presence. Identify gaps in the conversations competitors are leading and opportunities for CXG to establish a distinct position. Industry Analysis Research and review clients' developments (e.g., new strategy, launch of new product or service, restructuring, M&A, key managerial appointments). Track public financial announcements (e.g., quarterly and annual earnings). Monitor developments in luxury, retail, customer experience and adjacent sectors; distinguish lasting shifts from short-lived topics and explain their implications for CXG and its clients. Publish the weekly "This Week in Luxury" news brief and issue timely flash updates when significant developments require immediate attention, such as financial announcements, major transactions or leadership changes. Internal Dissemination and Application Synthesise research and findings into concise, actionable outputs tailored to the needs of relevant internal stakeholders. Feed findings into the Thought Leadership roadmap. Proactively bring relevant market signals to Practices, Regions and leadership early enough to inform decisions, client conversations and potential cross-practice opportunities. Disseminate new thought leadership across CXG and equip Practices, Regions and client-facing teams with the key messages and supporting materials needed to use it in client conversations and commercial activities. Requirements What will you bring along? Proven experience developing thought leadership, editorial content or insight-led communications in a consulting, research, customer experience, retail or luxury environment. Excellent English writing and editing skills, with a portfolio demonstrating original, well-argued, evidence-led articles or publications written personally. If possible, include examples that turn proprietary research, data or specialist expertise into a distinctive point of view. Additional languages (e.g., French, Mandarin) are a plus. Strong oral communication and presentation skills, with the confidence to represent CXG as a speaker at conferences, panels and client events. Proven ability to build relationships and influence senior stakeholders across functions and regions without direct authority. An established network or demonstrated ability to build partnerships with media, conference organisers, academic institutions or industry bodies. Comfort working with quantitative data and research methods, and the ability to translate data into clear, credible narratives and visualisations. Ability to define and track content performance indicators and use them to refine editorial priorities. Strong research and analytical skills: able to assess sources critically, connect market signals and form a clear point of view rather than simply summarise trends. Familiarity with AI-assisted research and content tools, used with appropriate rigour. Sound knowledge of luxury, retail and customer experience, and curiosity about how these sectors are evolving across markets. Ability to interview senior experts, challenge ideas constructively and turn specialist knowledge into accessible, credible content. Comfort working independently in a remote setting, managing an editorial roadmap and delivering finished work without a large production team. Experience managing or coaching at least one team member. Confidence preparing and hosting interviews or podcasts is a plus.

Location: San Francisco, CA | New York City, NY 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 Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer 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: $320,000 — $485,000 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.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives. WHOOP is hiring an Associate Director of Design Research to lead and scale the Design Research practice at WHOOP. This role will oversee Design Research, shaping how user feedback and experiences inform product innovation from early-stage insights to pre-launch validation studies to post-launch feedback. As a people-first leader, you will balance strategic direction, team development, and leadership evangalism—ensuring research rigor, creativity, and impact across the product lifecycle. RESPONSIBILITIES: - Provide strategic leadership for the design research team, ensuring alignment with key stakeholders and organizational priorities. - Evangelize the importance of user insights and the role of design research in the product and hardware development lifecycle to WHOOP senior leadership. - Scale research impact, working closely with cross-functional leaders to identify opportunities for research and set expectations for mixed-methods research, ensuring research is positioned as a critical input to decision-making. - Partner closely with senior team members to review research needs, assess tradeoffs, and guide prioritization and research direction. - Manage, coach, and develop a team of design researchers, fostering strong research craft, clear communication, and professional growth. - Own relationships with external research vendors, including scoping projects, defining success criteria, and ensuring high-quality execution. - Build a strong, cross-functional “voice of the member” for product decision-making in partnership with Consumer Insights, Analytics, and Membership Services. QUALIFICATIONS: - Bachelor’s degree in a relevant field such as human factors, design research, user experience research, design anthropology, psychology, or a related discipline. - 5+ years of experience conducting user research for physical products, ideally within hardware, health, or consumer product environments. - 5+ years of people management experience, including coaching, feedback, and performance development. - Strong mixed-methods research background, with demonstrated application of qualitative and quantitative approaches to real-world products. - Experience working within or alongside hardware development lifecycles (not software-only). - Experience managing or partnering with external research vendors, including project scoping and execution. - Ability to manage multiple workstreams, navigate ambiguity, and influence without direct authority across cross-functional teams. - Excellent written, verbal, and presentation skills, with the ability to communicate complex insights to executive audiences. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. *This role is based out of our Boston, MA headquarters and requires work onsite Monday-Friday. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Runway is looking for a Marketing Manager to help build and scale high-impact marketing programs across our creator, partner, sponsorship, and growth ecosystem. This is a generalist marketing role for someone who can move fluidly between strategy and execution. Some immediate areas of focus include influencer creator partnerships, sponsorships, and partnership marketing. The right person is commercially minded, highly organized, creative, and comfortable operating in ambiguity. We are looking for someone who can build repeatable programs, manage relationships, and execute campaigns to turn marketing ideas into measurable growth. WHAT YOU’LL DO - You will own and support marketing programs that help Runway reach priority audiences, grow demand, and deepen our presence among our target audiences. - In the near term, this will include managing creator and influencer partnerships including affiliates, evaluating sponsorship opportunities, and building co-marketing programs with customers, technology partners, model providers, vendors, and ecosystem partners. - You will work across the full program lifecycle: identifying opportunities, developing briefs, managing outreach, coordinating execution, tracking performance, and recommending what to scale, change, or stop. - You will partner closely with growth, creative, comms, events, PMM, sales, business development, legal, and finance to make sure programs are clear, on-brand, operationally sound, and connected to business outcomes. WHAT WE’RE LOOKING FOR - We’re looking for a marketing generalist with strong executional judgment and enough strategic range to work across multiple types of programs for a range of B2C and B2B audiences. - Experience managing creator partnerships with a clear view of how long-form content performs differently from short-form and other social channels. - 4+ years of experience building marketing campaigns, influencer, affiliate, or growth programs from 0 to 1. - Experience managing external relationships: creators, sponsors, agencies, freelancers or vendors. - Experience writing briefs, managing timelines, coordinating stakeholders, and translating broad goals into concrete plans. - Strong taste, communication skills, and judgment around brand, audience fit, creator quality, partner value, business impact, and operational tradeoffs. - You should be comfortable with ambiguity and able to build from scratch. This role requires someone who can create structure where it does not yet exist, but without slowing the team down with unnecessary process. - You should care about measurement and be able to connect marketing programs to outcomes such as subscriptions, ARR, and enterprise pipeline influence. NICE TO HAVE - Experience in AI, SaaS, subscription products. - Experience creating partner-facing materials such as briefs, sponsorship packages, or co-marketing materials. - Familiarity with Runway, AI video, creator communities, internet culture, and the broader creative technology ecosystem. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York, NY, United States, Boston, MA, United States What is Box Box (NYSE: BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, California, with offices across the United States, Europe, and Asia. Content powers how we work. It is the information flowing across teams, departments, and business processes every day. Our mission is to bring intelligence to content management and help customers transform workflows. At Box, you will help build the teams working at the front line of that change. Why Box needs you The competition for experienced Sales and Go To Market talent is intense. AI can help recruiting teams identify people whose experience appears relevant, but a list of names is only a starting point. The opportunity is to understand where the right talent is, find a credible way to reach them, and give them a reason to consider Box. You will bring the business context, creativity, and relationship skills that make early engagement relevant and human. What you will do Set the talent engagement strategy. Work with Sales and Go To Market leaders and Recruiters to understand hiring priorities, clarify the profile, and choose the best approach for each search. Focus your time on specialized, senior, or business-critical roles where market knowledge and personal engagement can change the outcome. Build useful talent market insight. Map relevant talent pools across companies, communities, networks, and adjacent industries. Use recruiting tools and AI-assisted search to widen discovery, then assess whether the profiles surfaced are current, credible, and relevant to the role. Share what you learn about talent availability, skills, motivations, and barriers with the hiring team. Create thoughtful ways into conversation. Develop candidate-specific approaches that explain why the role, team, or business challenge may be worth a conversation. Use direct outreach, employee and professional connections, referrals, communities, events, and other channels that fit the audience. Build relationships with high-priority talent over time, including people who may not be ready to move now. Calibrate sourcing and outreach tools. Use AI and recruiting technology to support research, search, prioritization, and message preparation. Review samples of the results, test for relevance and quality, identify errors or patterns that could narrow or distort the pool, and adjust inputs and workflows. Keep human judgment in decisions about whom to contact and what to say; protect candidate information and follow Box policies. Qualify interest and share context. Hold early conversations that explore the person’s experience, interests, and potential fit. Give an accurate picture of the work and Box, listen for what matters to the candidate, and pass useful context to the recruiter and hiring team with the candidate’s knowledge. Partner through the hiring process. Work in close partnership with the GTM Recruiters, who coordinate the search and candidate progression. Provide a clear handoff and stay involved as needed to support engagement, answer market questions, and help the team address candidate concerns. Contribute to a respectful, timely candidate experience through offer and close. Represent Box with care. Build authentic relationships with talent communities and represent Box at relevant events and professional forums. Tell the Box story accurately and connect people to the right opportunity without overpromising. Who you are You have 7 or more years of recruiting experience, including a strong record of finding and engaging in-demand talent and helping close successful hires. You have recruited Sales talent in a technology company and understand the distinctions among Commercial, Enterprise, and other Go To Market roles. Experience in technical or broader Go To Market recruiting is useful. You enjoy market research and relationship-building as much as search tools. You can find talent beyond the most obvious channels and develop a relevant reason for a candidate to respond. You understand how AI-assisted search and outreach tools work in practice. You can check their results, recognize when a match or message needs correction, and improve how the team uses them. You communicate clearly in writing and conversation, can tell an honest and compelling business story, and are comfortable engaging senior leaders and passive candidates. You use recruiting data to learn and influence decisions, while accounting for factors such as compensation, role design, market conditions, and hiring process quality. You build trusted relationships across functions, manage multiple priorities, and make thoughtful decisions in a fast-moving environment. You bring a team-centered, solutions-oriented mindset, curiosity, and a willingness to keep learning. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . New York City Pay Range $140,000 — $175,000 USD

Location: San Francisco, CA | Seattle, WA 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 Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust 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: $320,000 — $485,000 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.

Location: San Francisco, CA | Seattle, WA 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 Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust 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: $320,000 — $485,000 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.

Location: New York City, NY; San Francisco, CA; Seattle, WA 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 Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers 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: $320,000 — $485,000 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.

Location: Boston, Massachusetts, United States 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. Job Overview Are you ready to take ownership, problem solve and keep our payroll operations running with precision? We have an opportunity for a Senior Payroll Specialist to join our team! Reporting to the Director, Global Payroll, the Senior Payroll Specialist is responsible for executing accurate and compliant payrolls across multiple jurisdictions. The role requires strong analytical skills, technical understanding of payroll systems (ADP, SAP), and a focus on continuous improvement. This position ensures payroll accuracy, compliance with regulations, and seamless employee experience, supporting Hasbro’s global payroll transformation objectives. The role acts as a bridge between operations and management, collaborating closely with payroll team members and driving continuous process improvement. This role will co-manage 5 pay groups (2 biweekly hourly, 2 biweekly salary, and 1 monthly) in ADP Vantage, & eTime, while supporting the implementation of ADP GlobalView and Workforce Manager. This is a high-visibility role where you will bring your expertise in payroll, tax, and compliance and help shape more automated, technology-supported payroll processes as part of Hasbro’s global payroll transformation. Location and Work Arrangement This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Manage multi-state processing and reporting, including state tax registrations, withholding accounts, and unemployment accounts. Maintain payroll system accuracy, including earnings codes, deductions, tax configurations, and pay rules. Process and validate payroll results, balancing gross-to-net calculations, reconciliations, and audit trails. Review and analyze employee master data, time and attendance, and variable pay inputs for correctness. Reconcile payroll results, support general ledger accuracy, and identify discrepancies. Support payroll close, tax filings, and year-end reporting. Manage payroll inquiries through effective communication and resolution. Collaborate cross-functionally with Human Resources Information Systems (HRIS), HR Operations, and Finance to maintain data accuracy. Serve as a Subject Matter Expert (SME) for system functionality, upgrades, and cross-functional process enhancements. Develop, maintain, and implement policies and standard operating procedures to ensure compliance with internal controls. Lead payroll audits and internal control testing, ensuring compliance with Sarbanes-Oxley Act (SOX) requirements. What You'll Bring Bachelor’s degree in finance, accounting, human resources, business administration, or a related field, or equivalent demonstrated experience. Certified Payroll Professional (CPP) designation with PayrollOrg highly preferred. 7+ years of hands-on payroll processing experience. Strong experience with multi-state payroll and complex tax scenarios. Proficiency with ADP or SAP payroll systems highly preferred. Experience supporting payroll system conversions or Human Capital Management (HCM) implementations. Experience supporting SOX, financial, and compliance audits, as well as 401(k) plans. Strong preference for experience at a publicly traded company. Proficiency with the Microsoft Office suite (e.g., Word, PowerPoint, Excel, Outlook, SharePoint); strong Excel skills required, with the ability to produce clear, auditable data. Ability to manage and prioritize multiple tasks in a fast-paced environment. Demonstrated success in assessing, redesigning, and automating manual processes using Robotic Process Automation (RPA), bots, and other process-improvement technologies to achieve greater efficiency and accuracy. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $75,100 — $112,700 USD 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.

Location: Warsaw, Poland WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box IT End User Services' primary role is to provide technical services and support to all employees world-wide.  We provide major services such as: desktop and audio video support, new hire on-boarding, advanced application configuration and event support.  Our vision is to deliver end user solutions, capabilities and experiences that bring out the ultimate potential of every employee. Our team values: Be passionate to deliver great service, pursue growth and development, and build a positive team spirit. The Senior IT Support Engineer will join a global team comprised of the most talented IT professionals in the industry.  As a Senior Support Engineer, you will manage and resolve an array of mobile, desktop, audio/video, network, and telecommunications issues, ensuring that our employees remain as productive as possible.  You must be agile enough to adapt to the rapid growth and change of our business, but also disciplined enough to deal with complex challenges, processes, and people.  Your role will involve coaching and mentoring your peers, leading cross-functional projects, and driving end-user technology decisions that will impact Boxers around the world. WHAT YOU'LL DO Troubleshooting and support for all IT end user issues: mobile, desktop, audio/video, peripherals, etc. Procurement, asset and inventory management for all IT hardware and software Cross-departmental collaboration with teams like Facilities, Sales, and Engineering, People Operations Managing IT communication between headquarters and remote office Perform system imaging, application configurations, and security policy enforcements Daily onsite office support, from Monday to Friday WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 4+ years of working experience in an IT Support role Working knowledge of Windows and OSX operating systems Working knowledge of Lenovo and Apple hardware Knowledge of networking concepts Lead complex initiatives to scale and transform the business Comprehensive understanding of networking (Network certification a plus) Working knowledge with voice and video conferencing solutions (Zoom, RingCentral a plus) High energy and passion for your work and achievements Excel at everything you put your heart and mind to Willingness to go above and beyond Excellent verbal and written communication skills in English and Polish Excellent teamwork skills Technical certification in desktop operating systems Experience leading large, complex enterprise initiatives on a global scale Preferred skills: Mac certification PMP certification Demonstrate that you continue to keep your knowledge and skills up to date Network certification Working knowledge with voice and video conferencing solutions (Zoom, RingCentral a plus) Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office 5 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-KS2 #LI-Onsite

Location: San Francisco Pricing Strategy Director The Monetization Strategy team drives Asana’s pricing/packaging strategy and execution, helping our customers get more value out of our offerings and capturing a fair share of that value.  We work cross functionally to deliver impactful offerings for team productivity and collaboration.  We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work.  Our team works directly with Product/Engineering, Sales/Support, Customer Research, Marketing, Data Science, Finance and Operations to deliver valuable offerings to our customers.  You’ll take part in every type of product work here – from strategy to product to process improvements – conceptualizing, launching, and iterating on Asana itself for millions of teams around the world. As the Pricing Strategy Director, you’ll play an instrumental role in building and executing Asana’s product monetization strategy. Reporting to the Head of Pricing and Packaging, you will partner closely with Product, Sales/GTM, Marketing, Finance and operational leaders to launch and optimize our monetization strategy to drive sustainable revenue growth and deliver an exceptional customer experience. This role can be based in our San Francisco or Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve With a focus on 1-2 business lines, drive the launch and optimization of our offerings: packaging, pricing model, price levels, and discount strategy.  Ensure it aligns with business objectives and strategies. Maintain an informed perspective on the business by examining operating metrics, customer data, and market trends to spot potential monetization opportunities. Identify opportunities to drive impact in short term (1Q) and long term (1-3 yrs), develop strategies to seize those opportunities, and drive decision making and organizational alignment. Design and execute detailed customer, product, competitor, and financial analyses to support the strategic recommendations. Collaborate cross-functionally (Product, Sales/CS, Finance, Operations) to create pricing and packaging recommendations, and confidently present these findings to the executive team (GMs, c-level, including CEO). Orchestrate operational plan to implement monetization strategies, partnering closely with IT/Operations, Finance, Sales Enablement, and Deal Desk. Participate in determining pricing KPIs. Track, monitor, and report on the effectiveness of implemented pricing and packaging changes as well as health of the business. About you 8+ years of pricing experience in strategy consulting / B2B software, which ideally includes 2+ years in pricing at enterprise-level SaaS companies Proven experience in building pricing models, tools, and processes to optimize the pricing strategy Robust analytical skills, including customer/competitor research and financial analysis to help drive data-driven decisions Understanding of SaaS pricing, self-serve (product-led) and sales-lead go-to-market strategies, and customer buying behaviors (SMB and enterprise customers) Demonstrated ability to cultivate impactful cross-functional relationships and lead diverse teams to achieve business objectives Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Familiarity with pricing and packaging research techniques (e.g., Conjoint, Van Westendorp) and proficiency in using survey tools such as Qualtrics Familiarity with pricing trends in the marketplace, including AI pricing At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $207,000 - $250,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote - Singapore Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Solutions Engineer for our Twilio Communications APJ team. About the job The Twilio Solutions Engineer is both highly technical and a skilled executive relationship builder. They are comfortable showing an engaging communications experience to a CEO or sketching out a flow on a whiteboard with technical decision makers. This role sits at the intersection of communications, AI, and experience design. You will help customers across APJ — design and build next-generation customer engagement experiences powered by Twilio’s Customer Engagement Platform. These experiences increasingly blend voice, messaging, autonomous and human-assisted agents, and intelligent workflows to create interactions that feel natural, trusted, and brand-aligned. As a Solutions Engineer, you lead the technical and experiential win: shaping how customers think about conversations, designing intelligent flows, prototyping solutions, and translating business intent into scalable architectures. You will guide customers not just on what to build with Twilio, but how those experiences should behave when humans and AI work together. Responsibilities In this role, you’ll: Discovery & Scoping: Lead client discovery sessions to identify business challenges, goals, and core value drivers. Solution Design: Translate complex customer requirements into high-level future-state architecture and implementation roadmaps. Product Demonstrations: Deliver customized software demos, presentations, and proof-of-concepts (POCs) for audiences ranging from front-line staff to C-level executives. Sales Support: Address technical objections, respond to RFPs/RFIs, and partner closely with Account Executives to accelerate deal closures. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Technical Knowledge: Understanding of cloud computing, cPaaS, AI. Soft Skills: Exceptional public speaking, storytelling, interpersonal, and consensus-building capabilities. Curious of technology and willingness to learn new technology Location This role will be remotely based in Australia/Singapore/Japan Travel We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Toronto, Canada Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading North American financial services provider operating across personal, commercial, wealth management, and capital markets sectors. Following recent strategic acquisitions, the top-tier bank has significantly expanded its international footprint. Now executing an "AI-first" strategy, the organization has launched a dedicated institute for applied AI and quantum computing to drive productivity and deliver hyper-personalized digital experiences for millions of global customers. What You’ll Do Serve as a subject matter expert in Metals trading, including precious and base metals. Focus on physically settled metals transactions and related front-office workflows. Gather, analyze, and document business requirements from traders and key stakeholders. Clearly articulate scope, assumptions, and dependencies for requirements. Analyze and understand the impact of upstream and downstream systems on business processes. Collaborate with technology teams to identify and drive system enhancements supporting Metals trading activities. Work closely with developers to ensure requirements are clearly understood and implemented correctly. Support solution deployment and ensure successful adoption by business users. Conduct data analysis to provide insights that support trading strategies and risk management. Apply strong analytical and problem-solving skills to optimize processes and outcomes. Partner closely with traders and stakeholders to ensure seamless operations and regulatory compliance. Manage change requests and support structured change management processes. Participate in testing activities, including test planning and execution. Collaborate closely with business users during UAT to ensure solutions are thoroughly tested and meet business requirements. Support quality assurance efforts to ensure high-quality, production-ready deliverables. What You Bring Proven experience in Metals trading, ideally with a focus on physically settled metals. Strong understanding of banking and capital markets products and services related to commodities. Demonstrated ability to gather, document, and manage business requirements. Experience in change management and managing change requests. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to collaborate effectively with developers, traders, and stakeholders. Experience with Openlink Endur is a strong asset. Experience in testing and quality assurance is a plus. Detail-oriented mindset with a focus on high-quality deliverables. Self-starter who thrives in a collaborative, team-based environment. Nice to have Experience working in front-office trading environments. Exposure to complex trading system integrations and data flows. Prior experience supporting UAT in capital markets platforms. English level Upper-Intermediate Location: Toronto (hybrid) Legal & Hiring Information Compensation Transparency: The expected compensation range for this role is $80-110/hr CAD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within Canada, and business needs. Position Status: This posting is for a newly created position Location Eligibility: This role is open to candidates residing in Canadian provinces, excluding Quebec. Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. Canadian work experience is not required. Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process. Benefits Summary: Canadian employees are eligible to participate in Exadel’s benefits programs, which may include extended health, dental and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements. Equal Employment Opportunity: Exadel is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, family status, or any other protected characteristic under applicable provincial human rights legislation. Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with applicable accessibility and human rights legislation. If you require accommodation at any stage of the hiring process, please contact us. The offer is not binding until a signed contract is in place Our AI-Enabled Screening Process As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know. Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Andorra la Vella, Andorra; Buenos Aires, Argentina; Brasilia, Brazil; Rio de Janeiro, Brazil; Barcelona, Spain; Madrid, Spain; Milano, Italy; Rome, Italy; Abu Dhabi, United Arab Emirates; London, United Kingdom; Lugano, Switzerland; Warsaw, Poland; Amsterdam, Netherlands; Lisbon, Portugal; Dublin, Ireland; Bucharest, Romania; Bangalore, India; Kuala Lumpur, Malaysia Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . ABOUT THE ROLE Turing is the world's leading research accelerator for frontier AI labs. The STEM Horizontal team produces the high-signal STEM data those labs train on, and this role builds the machinery behind it: the task-authoring tools, data pipelines, evaluation harnesses, sandboxed execution environments, and agentic workflows our researchers and domain experts work inside every day. This sits at the seam between engineering and research. You'll own production systems end-to-end, and you'll be the person a researcher pulls in to ask why an eval is producing misleading numbers. Correctness and reproducibility are the product: a subtle bug here doesn't crash anything, it quietly poisons a training run and costs weeks. If you want to build systems that visibly shape how frontier models learn to reason about code and science, this is the seat. WHAT YOU'LL DO Own services end-to-end: design, implementation, rollout, and production operation. Build backend services and the data pipelines that generate, validate, score, and version datasets, reproducible from a commit and a config. Ship data-dense internal interfaces: virtualised tables, server-side filtering, review and annotation UIs that stay fast at tens of thousands of rows. Build and operate agent harnesses , multi-step loops with tool use, retries, and structured output, running against real repos and test suites. Build sandboxed execution environments where model-generated code runs safely and deterministically at volume, and stand up the RL environments and eval harnesses on top. Trace and debug agent runs end-to-end: where the loop stalled, which tool call failed, why the grader disagreed with the human. Own infrastructure as code and CI/CD; debug production issues across the stack and drive the reliability work that follows. Raise the bar through code review, design docs, and innovation, partnering with researchers and quality owners on what “good” means. TECH STACK Backend Python · FastAPI · Django / Django Ninja · PostgreSQL · MongoDB · REST + OpenAPI Frontend TypeScript · React · Next.js · virtualised tables, server-side filtering Platform Linux · Docker · Terraform · CI/CD · AWS or GCP WHAT YOU NEED 6+ years building and operating production software, ideally at product companies with real scale. Deep Python with production FastAPI and/or Django , ORM performance, migrations, async patterns. Strong PostgreSQL (schema design, query optimisation, indexing) and NoSQL. Frontend production with TypeScript / React / Next.js . Fluent on Linux and Docker ; Terraform or comparable IaC on AWS or GCP , and ownership of the CI/CD that ships it. Daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you actually ship, with the judgement to review their output critically and know where they break down. We are an AI-forward team; this is a must-have. You've built something on top of LLM APIs that other people depended on, an agent, a pipeline, an eval, and you know where it was fragile. Comfort with non-deterministic systems : you can tell a real regression from noise, and you reach for a controlled experiment over a hunch. Advanced Git and real testing discipline, unit, integration, and the negative and edge cases people skip. Clear written communication; comfortable working without hand-holding, and comfortable saying when a spec is wrong. NICE TO HAVE Internal tools or developer platforms used daily by a technical team. Agent frameworks and protocols, LangGraph, MCP, OpenAI/Anthropic tool use. Sandboxing and untrusted code execution: gVisor, Firecracker, seccomp. Workflow orchestration (Temporal, Airflow, Prefect, Dagster) and Kubernetes beyond managed defaults. LLM coding benchmarks (SWE-bench, Terminal-Bench), eval frameworks, or exposure to RLHF / RLVR. PREFERRED BACKGROUND Bachelor's or Master's degree with 6+ years experience in Computer Science, Software Engineering, Data Science, Machine Learning, AI, or a programming-heavy IT field. We weight demonstrated work outcomes most heavily, a strong track record without a matching degree is fine. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States Workplace: Remote About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s. What you'll do: - Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards. - Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships. - Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time. - Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface. - Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them. - Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended. - Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it. - Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it. What you'll bring: - 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product. - Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it. - A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why. - Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online. - Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines). - Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result. - Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency. - Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints. Compensation: The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters WHAT YOU'LL ACHIEVE - Build and tune high-signal detections across cloud, identity, endpoint, and SaaS environments, with review and mentorship from senior teammates as you ramp up. - Contribute to the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. - Build tooling and automation that speed up triage, enrichment, investigation, and detection authoring, including LLM-based workflows where useful. - Turn threat intelligence and adversary TTPs into detections, telemetry requirements, and response improvements. - Take part in investigations, incident response, and postmortems, and help turn what we learn into lasting fixes. - Help define and track metrics such as coverage, MTTD, and alert quality. - Join a shared on-call rotation for incident response. SKILLS YOU'LL NEED TO BRING - We're hiring across a range of experience levels. If you have some of these skills but not all, we'd still like to hear from you. - 3+ years of experience in detection engineering, security operations, incident response, threat hunting, or a closely related security or software engineering role. - Have written or tuned detections that run in production, and care about signal quality and cutting noise. - Working knowledge of at least one detection or query language (Sigma, KQL, SPL, YARA-L, EQL, or Panther), or strong SQL or Python skills and the drive to learn one quickly. - An understanding of how attackers operate (for example, MITRE ATT&CK), and the ability to use it to decide what to detect. - Hands-on experience with AWS, GCP, or Azure, ideally including identity and access logs. - Have used SIEM, EDR, or SOAR tools in any size of environment. - Write clearly in runbooks, design docs, and incident notes, and can own well-scoped projects end to end. NICE TO HAVE - Have led purple team, blue team, or adversary emulation exercises that improved detections or telemetry. - Experience running SIEM, EDR, or SOAR platforms at large scale. - Experience building or maintaining detection-as-code workflows (version control, CI, and tests for detections). - Experience applying LLMs or agent-style tooling to security workflows. - Experience securing AI-enabled systems or endpoint tooling. - Kubernetes or container detection experience. - Background in threat intelligence, malware analysis, or digital forensics. - Contributions to the security community through research, tooling, CTFs, or talks. - Experience at a high-growth startup or AI company. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $185,000 - $280,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550 and and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.