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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 As a GTM Strategy & Operations Business Partner supporting the AMER Enterprise Tech organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise Tech team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives while supporting critical global strategic initiatives. This includes business performance analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization. We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it. Key responsibilities Strategic Analysis, Operations & Planning Partner with Sales leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive Data-Driven Decision Support Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale Leverage Claude to its full capability Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why" Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency Go-to-Market Execution Develop and maintain use case frameworks to capture and standardize how customers derive value Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions Executive Stakeholder Management Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities Cross-Functional Collaboration Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business Support coordination between AMER Enterprise sales segments and partnership teams Help prepare materials for executive reviews and planning sessions Minimum qualifications Deep alignment to Anthropic’s mission Experience in sales strategy, revenue operations, management consulting Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.) Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments. An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations. A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations. Track record of driving forward high-growth sales organizations Disciplined project management and exceptional communication and interpersonal abilities A desire and readiness to do the best work of your career Bachelor's degree required; MBA or advanced degree preferred Preferred qualifications 10+ years of experience in sales strategy, revenue operations, management consulting Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building Experience with AI/ML companies and consumption business models Prior experience building frameworks for sales use cases or value propositions Background in scaling sales organizations through 2-3x+ growth periods 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: $270,000 — $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 As the leader of our new Hedge Funds sales team within Enterprise FSI, you will build and lead the team that brings transformational AI to the world’s leading hedge funds - multi-strategy platforms, quantitative and systematic firms, discretionary long/short equity, global macro, and credit funds. These are some of the most technically sophisticated and competitive organizations in financial services, rethinking how they generate ideas, conduct research, build and test strategies, manage risk, and run their operations - and they’re looking for a partner they trust to take frontier AI from promising experiments into production at the core of their investment process. You’ll own a focused portfolio of top-tier funds at very different stages of AI adoption, from firms already running Claude across research and engineering to those just beginning their journey. You will lead Enterprise and Strategic Account Executives, design the coverage and territory model, and build the repeatable, hedge-fund-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder - platform decisions, protection of proprietary strategies and data, security and compliance rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. Buyers move fast, decision-making is concentrated among a small group of senior leaders, and you’ll shape strategy and operating rhythm while staying personally engaged with founders, CIOs, CTOs, and heads of research on the pursuits that matter most. This is a rare opportunity to build a team from the ground up, not just run a number: to shape how the hedge fund industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities: Define Hedge Fund go-to-market strategy and coverage design, including segmentation, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales Recruit, coach, and retain Enterprise & Strategic Account Executives with deep financial-services and platform-selling expertise; develop talent and create career paths that keep top performers growing Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable within hedge funds, partnering with Marketing, Enablement, and partner teams to scale them Engage personally with C-level executives on priority pursuits, building business cases and value narratives and navigating complex procurement, security, model-risk, and legal processes through to production deployment and expansion Own the team’s revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate hedge funds needs into product and roadmap input Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, and cloud partners to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications: Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms into hedge funds A track record of winning and growing enterprise customers, including building C-suite relationships, in hedge funds Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of Research — and experience pairing effectively with solutions architects and applied AI teams Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications: Experience leading other sales leaders (second-line management), or demonstrated readiness to step into that scope Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to hedge funds Deep familiarity with regulated-industry selling — model-risk management, regulatory and compliance-driven procurement, security review, and the governance expectations of financial institutions Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience leading organizations through rapid growth, re-segmentation, or significant change 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: $450,000 — $550,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Trusted Agentic Development team sits within GitLab's Developer Experience group and builds the platforms our engineers rely on every day. GitLab engineers increasingly build software with artificial intelligence agents. Agents can generate code and tests in seconds, but they can also produce passing test suites for software that doesn't work as intended. As a Senior Backend Engineer, Trusted Agentic Development, you'll own the technical thesis for closing that validation gap and build the early proof yourself. You'll rethink what validation means when the author is an agent and make the feedback loop fast, automatic, and trustworthy enough that teams choose to adopt it. Validation that confirms agent-generated code does what was intended, so a passing suite means a working feature and not just a satisfied proxy. Mid-loop feedback that helps an agent self-correct toward working software instead of green assertions. Language-aware approaches under one shared model of what "trusted" means, starting with Rust, Ruby, and Go, while allowing the right technique to differ by language. Real measurement of whether engineers trust and adopt the path, fed straight back into the platform. What you’ll do Own the technical thesis for how GitLab validates software when an agent is the author, and turn it into an architecture the team can build against. Prototype the hard parts by building early versions of feedback mechanisms that catch the gap between passing tests and working software, proving what works before the team scales it. Develop approaches for GitLab's primary stacks, starting with Rust, Ruby, and Go, under one shared definition of "trusted," while allowing the right technique to differ by language. Design the mid-loop feedback an agent needs to self-correct toward working software rather than green assertions, and build the systems that deliver it. Collaborate with engineering teams to adopt these approaches, measure adoption, engineer trust, and validation quality, and use those findings to improve the platform. Set technical direction the team can build on, review designs, and help teammates grow their technical judgment. What you’ll bring Deep, current, hands-on experience building real software with artificial intelligence agents, ideally across more than one language, and a clear understanding of why agent output can pass tests yet fail in production. A strong point of view on the validation gap and concrete ideas for closing it, backed by approaches you've built or tried. Experience designing distributed systems designed to run on Kubernetes first. The technical range to design systems rather than tune a single framework, and the judgment to know when a solution should be general or language-specific. You prototype to learn, and you ship. The ability to influence engineers across an organization without formal authority through working code and sound reasoning. Strong written communication in an all-remote, asynchronous environment. Alignment with GitLab's values, especially collaboration, iteration, and transparency. This isn't a quality assurance or test automation role. We aren't looking for depth in a particular testing framework. We're looking for someone who has built with agents, experienced the validation gap firsthand, and wants to solve it. About the team The Trusted Agentic Development team is part of GitLab's Developer Experience group. We build platforms and practices that help GitLab engineers validate agent-generated software with confidence. We work across engineering teams and programming languages to understand how people use agents, test new approaches in real workflows, and create a shared model of trusted agentic development that teams choose to adopt. Poland base salary range: 272,000 PLN – 408,000 PLN The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Yerevan, Armenia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Singapore Workplace: OnSite About Cantina Cantina Labs is a social AI company developing a suite of advanced video generation models. 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. About the Internship Cantina is growing its research lab in Singapore, and we are looking for exceptional research interns to work with us on the next generation of video models in October 2026. This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference. Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant. What You’ll Work On Depending on your project, you may: - Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance and adversarial distillation - Explore techniques that reduce inference cost while preserving or improving generation quality - Develop reward models and preference-based optimization methods to improve aesthetics, motion quality, temporal consistency, and prompt adherence - Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development - Design rigorous evaluations and conduct large-scale experiments on generative video models - Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work - Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions You may be a good fit if you - Are currently pursuing a PhD or are a final-year master’s student in computer science, machine learning, computer vision, or a related field - Have research experience in generative modeling, computer vision, multimodal learning, or video generation - Have hands on experience with diffusion models, flow-based models, model distillation, reinforcement learning, preference optimization, or related post-training techniques - Can formulate hypotheses, design controlled experiments, analyze results, and communicate conclusions clearly - Are proficient in Python and have hands-on experience with PyTorch, JAX, or another modern machine learning framework - Are comfortable working independently on an open-ended research problem while collaborating closely with a mentor and the broader team Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly. What You Can Expect - A defined project and named senior mentor before your first day - Weekly one-on-one meetings and clear project milestones - A meaningful compute allocation for your research - The opportunity to own a complete research or engineering result - First-author positioning by default where your contribution supports a publication - Timely internal review of research intended for submission - Support for conference travel if your paper is accepted - Opportunities to demonstrate your work and receive credit for product contributions - A competitive monthly stipend - Visa and travel support for eligible international candidates - Housing support for qualifying international interns in Singapore - Equipment and resources needed to complete your work Internship Details - Location: Singapore - Duration: Three months - Working model: Onsite - Start dates: First batch starts in October 2026, second batch starts in January 2027

Location: Singapore About Cantina Cantina Labs is a social AI company developing a suite of advanced video generation models. 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. About the Internship Cantina is growing its research lab in Singapore, and we are looking for exceptional machine learning interns to work with us on the next generation of video models in October 2026. This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference. Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization, multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant. What You’ll Work On Depending on your project, you may: - Develop reward models to improve aesthetics, motion quality, temporal consistency, and prompt adherence - Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development - Design rigorous evaluations and conduct large-scale experiments on generative video models - Build systems for ingesting, preprocessing, curating, and delivering large-scale video datasets - Develop distributed pipelines for dataset generation, deduplication, preprocessing, and repeated dataset refreshes - Improve the reliability, reproducibility, and efficiency of data and model-training workflows - Build tooling for video and multimodal data using technologies such as FFmpeg, PyAV, DALI, or OpenCV - Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work - Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions You may be a good fit if you - Are pursuing a bachelor’s or master’s degree in computer science, engineering, machine learning, or a related field - Have experience building data pipelines, ML infrastructure, or distributed systems through research, coursework, open-source contributions, or previous internships - Are familiar with tools such as Ray, PySpark, Airflow, Docker, Kubernetes, or equivalent technologies - Have worked with cloud storage or compute platforms such as AWS, Google Cloud, or Azure - Understand practical considerations around data throughput, storage layout, caching, monitoring, and failure recovery - Are proficient in Python and interested in building reliable systems for large-scale machine learning Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly. What You Can Expect - A defined project and named senior mentor before your first day - Weekly one-on-one meetings and clear project milestones - A meaningful compute allocation for your research - The opportunity to own a complete research or engineering result - First-author positioning by default where your contribution supports a publication - Timely internal review of research intended for submission - Support for conference travel if your paper is accepted - Opportunities to demonstrate your work and receive credit for product contributions - A competitive monthly stipend - Visa and travel support for eligible international candidates - Housing support for qualifying international interns in Singapore - Equipment and resources needed to complete your work Internship Details - Location: Singapore - Duration: Three months - Working model: Onsite - Start dates: Start dates: First batch starts in October 2026; second batch starts in January 2027

Location: Spain, Remote Workplace: remote As a Key Account Manager (KAM), you play a decisive role in the growth of 360Learning's business and you will join a team of 5 KAMs (Mid-market). You will be in charge of around 100 accounts (existing customers from 100 to 2,500 employees).   At 360Learning, the KAM role is 80% sales oriented and your goal is to develop your portfolio and generate growth. But, you will not work alone! Client Success Partners and internal experts (digital pedagogy, platform structuring, IT) are in charge of the client’s project monitoring and execution. Collaborating with these teams will be instrumental to succeed in your upsell actions.    We are eager to retain the best talent in our teams, and we will encourage internal moves after 2-3 years of continuous success to build together fulfilling career paths. This KAM Mid-role offers the possibility of moving to a KAM Large position (existing customers from 2,500 to 10,000+ employees). Within 1 month, you will: Become a Trello expert and get familiar with our product Learn to navigate Convexity , our working environment Meet the different teams at 360Learning Finalize your onboarding Within 3 months, you will: Take full ownership of your portfolio of customers Map accounts and define an account growth strategy, prioritize your portfolio (tiering) Work closely with our Client Success Partners to gather relevant information about our existing clients, in order to generate upselling Prepare account reviews with our clients in order to identify areas of development Conduct presentations and demonstrations of 360Learning Complete the handover of your portfolio and close 30-50 K€ of new ARR in your first quarter (depending on start date) Within 6 months, you will: Ensure accurate reporting of the activity with your coach to optimize the forecast Be proactive in order to improve business processes Write complex business proposals and conduct business negotiations Close 65-85 K€ of new ARR in your second quarter (depending on start date) Within 12 months, you will : Prepare, anticipate and ensure the renewal of clients’ contracts Define action plans to generate upsells Manage the entire business relationship with the clients Exceed your targets and be on track to reach the yearly target The Skills Set 3+ years of experience in an Account Manager or sales-related function (revenue generation with a portfolio of clients) Previous experiences working in the SaaS industry Experience in a fast-growing environment such as start-up / scale-up, which requires agility and responsiveness Active listening skills and a team player mindset Excellent written and verbal communication skills Fluent French and excellent English (B2+) proficiency Enthusiasm for our culture explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund, lunch vouchers. Leave requests are subject to local policies. Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting Interview with our Key Account Manager Mid Market Coach Case Study Meeting with our Key Account Manager Mid Market Coach and our VP Mid Market EMEA Clarification Meeting with our our VP Mid Market EMEA Culture Fit Meeting with our Chief Sales Officer Offer! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: London Workplace: Hybrid Why loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams. About the team: You’ll be joining our Brand Marketing team, bringing together Brand, Social, PR and Content to build awareness, strengthen trust and make loveholidays the easiest and most valuable way for customers to book their next holiday across our markets. We put customers at the heart of everything we do, using insight, creativity and culture to create relevant work throughout the journey, from inspiring people to dream about their next getaway to helping them book and travel with confidence. We’re a curious, collaborative team who love understanding what makes our customers tick and turning those insights into work that earns attention, adds value and supports our mission to open the world to everyone. The impact you’ll have: Reporting to the Senior Social Media Manager, this is an exciting opportunity to join our brand team at loveholidays, providing hands-on tactical and strategic support to build the loveholidays brand across social media channels. As Senior Social Media Executive, you will be instrumental in driving loveholidays’ brand engagement and visibility across various social media platforms. You will oversee the execution of our social media strategy, delivering our brand message across all live platforms with socially native, thumb stopping content. Your responsibilities will include end-to-end management and creation of social media content, managing social media platforms and communities, social listening and leveraging analytics to measure and optimise our channels for growth and content performance. We are looking for a creative, with strong attention to detail, a passion for social media and building brand communities online, who can hit the ground running creating content for and managing our current content calendars. Your day-to-day: - Execute loveholidays’ social media strategy across all live platforms, bringing the brand to life through engaging, on-brand content that inspires travel and drives long-term community growth. - Own and maintain the social media and marketing calendars, ensuring a consistent and timely flow of content aligned with company news, campaigns, product updates, seasonal moments and key marketing messages. - Stay informed on social media trends, platform updates, emerging channels and audience behaviours, identifying opportunities to keep loveholidays’ content relevant, timely and culturally connected. - Support the Senior Social Media Manager and wider content team in developing creative, community-led ideas, turning web content, customer insight and brand priorities into engaging social concepts and copy. - Create high-quality, multi-format social content across video, photography, graphics, animation, written posts and interactive formats, ensuring every piece is adapted appropriately for each platform and audience. - Own the execution of video-first social media content, from concept development and scripting through to filming, presenting, editing and publishing, while feeling comfortable both on and off camera. - Use strong design skills to produce polished, platform-native creative, applying loveholidays’ visual identity and brand guidelines consistently across social assets, campaigns and content series. - Develop, test and scale repeatable content formats; manage user-generated content and influencer activity; monitor and engage with the community daily; and analyse performance data to refine strategy and report results to stakeholders. Your skillset: - Strong understanding of social media best practices, platform behaviours and emerging trends - Excellent visual judgement, with the ability to create thumb-stopping static and video content - Hands-on content creation skills, including filming, starring-in, editing, curating and adapting content for different platforms - Proven experience creating highly engaging content across Instagram, TikTok, Facebook and other relevant social channels - Ability to analyse social media performance data, identify actionable insights and make practical content and channel recommendations - Experience using social media management, reporting and listening tools, including Sprout Social, Canva, CapCut and social listening queries Desirable: - Experience working across multiple markets including UK, IE, DE and SE - Experience bringing brand and marketing campaigns to life through social media - Confident using AI tools responsibly to streamline social media workflows, including ideation, planning, reporting, content repurposing and social listening, while maintaining strong editorial judgement and brand standards - Additional language capability in German, Swedish or Polish The interview journey: 1. Intro meet with a member of the Talent Acquisition team - 30 mins 2. 1st stage with the Senior Social Media Manager - 45 mins 3. Final In-office interview to present a social task with Social Media Manager & a Senior stakeholder - 1 hr Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT MODAL DESIGN: Modal is building the future of serverless computing, and the brand that carries that story is still taking shape. You’ll join Modal’s newly formed Brand team inside our design org as one of its first senior hires, working directly with the Director of Brand Design and Head of Design to build a brand developers recognize instantly and remember. THE ROLE: As a staff-level Brand Designer, you will have major influence over every brand surface: the marketing website, campaigns, events, editorial projects like the GPU Glossary https://modal.com/gpu-glossary and forthcoming publications, and out-of-home work as we scale into larger formats. You’ll also be a beacon to external agencies, representing Modal’s internal creative voice and making sure the work translates into a system we can actually build on. And as the studio grows, you’ll help set its craft standard, guiding and mentoring earlier-career designers and shaping how we critique, ship, and show work. WHAT YOU’LL WORK ON: - Define and evolve Modal’s visual identity across web, marketing, campaigns, and editorial, building a cohesive, distinctive system rather than one-off assets - Lead concept and execution for brand campaigns across digital and out-of-home, from paid social to large-format outdoor, ensuring the work is consistent, distinctive, and built to perform - Own branded experiences for events and GTM: environments, collateral, swag, and conference presence that feel unmistakably Modal - Help codify the brand as it matures: design language, principles, and the rules that hold it together - Mentor and critique the work of other designers, helping the studio’s output stay coherent and ambitious as it scales - Move quickly without sacrificing quality YOU MAY BE A FIT IF: - You have 7+ years of brand design experience building brands for technically complex products (developer tools, infrastructure, or AI), and you know how to make something deeply technical feel compelling and clear - You have high influence and low ego: you work well with others, share credit freely, and act as a force for positivity within the brand team - You have a portfolio that demonstrates exceptional typography, color, composition, and a recognizable point of view - You’ve designed brand systems that extend from identity to motion to web (the more the better) - You can interpret and contribute to brand strategy - You take ownership seriously: you drive work to completion, raise the quality bar, and build structures that let others do the same - You have strong taste and the ability to defend it: you have opinions, back them up, and take feedback well

Location: Sydney, Australia 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 We are hiring our first Sydney-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day-to-day. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Note: Specialists in Sydney will work 12pm to 8pm, Monday to Friday. Responsibilities Become an expert in all Anthropic products Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model and assisting consumer users at a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical “pager duty” during APAC hours to ensure 24/7 support for critical queries Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you Have experience in providing technical product support within a second-tier, escalated, or priority support team Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g., CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team. This is essential, highly valuable, but often unglamorous work, and it is particularly key for this role due to it being among the first Support hires in APAC/ANZ Are proficient at working in a technical environment and are interested in Anthropic’s products Possess a deep sense of ownership, and are excited to help us build our team! Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid Why loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams. The impact you’ll have: As our Senior CRM Executive, you will play a key role in delivering and improving CRM campaigns and customer journeys across our channels. You’ll be close to the detail of campaign build, journey optimisation and performance, with the opportunity to grow your ownership over time. You’ll work closely with the CRM Manager, Head of CRM and wider Marketing, Product and Engineering teams to turn agreed customer opportunities and briefs into well-executed campaigns and journeys. You’ll help move us away from legacy campaign cycles by building reliable, increasingly automated lifecycle activity. We are looking for a thoughtful, high-velocity operator who can turn clear direction into accurate live journeys. Your day-to-day: - You’ll build and maintain multi-channel automated journeys using branching logic, API triggers, and real-time data, working from agreed briefs and priorities. - Identify manual bottlenecks and support the implementation of AI-assisted workflows, using tools like n8n and Claude (training will be provided). - Use Braze to identify optimisation opportunities within your journeys and help make delivery faster, more accurate, and more consistent. - Provide hands-on campaign support to the wider team in deploying campaigns. You’ll ensure accurate execution through rigorous, increasingly automated QA processes. - Work collaboratively with Marketing, Product and Engineering to deliver agreed workstreams and help create a frictionless experience from search to rebooking. - Monitor the performance of your campaigns and journeys. You’ll be comfortable using Looker to maintain reports, monitor health metrics, and surface actionable insights that support optimisation. Your skillset: - You are a reliable operator who takes ownership of your assigned campaigns and journeys from brief through deployment. You ask the right questions, flag risks early, and deliver with consistency and precision. - You can move from a clear brief to deployment rapidly, maintaining high standards and following agreed processes. - You are naturally curious and look for practical ways to improve processes, reduce manual tasks, and make delivery more efficient. - You have experience with Looker, Tableau, or SQL, and BQ and confidence using data to monitor performance. - Hands-on experience with Braze or similar. You should be comfortable with Liquid logic, audience segmentation and personalisation. - You are comfortable working with data models and propensity scores to support relevant segmentation and measure campaign impact. - The ability to work well across Marketing, Product, and Engineering teams, taking direction and communicating clearly to keep delivery on track. Desirable: - Experience supporting CRM activity across multiple international markets, including handling localisation, consent frameworks, and currency differences within automated journeys - Familiarity with n8n or similar workflow automation tools - Experience writing Liquid logic for content personalisation - Exposure to AI-assisted workflows or agentic tooling - Background in travel, marketplace, or another high-frequency transactional category The interview journey: 1. Meeting with a member of the Talent Acquisition team - 20 minutes 2. Virtual Interview with Hiring Manager 3. Final Stage interview in office presenting pre-determined task and a meeting a few stakeholders - 1 hour 30 mins Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

Pink Elephant builds infrastructure of products at the frontier of mental health on EU&US markets. Mental health is a global crisis hiding in plain sight. Nearly 1 in 8 people live with a mental disorder. Depression and anxiety alone strip $1 trillion from the global economy every year. Conventional treatment leaves most patients cycling through mediocre solutions for years - undertreated, undersupported, and underinformed. Progressive therapies are showing results up to 10 times more effective than standard care. Yet fewer than 5% of people can access them. We're here to close that gap. Our portfolio spans two fronts. The first is psychedelics - building the media, vetted practitioners directory and education for both therapists and end users.  Such a synergy is designed to make evidence-based psychedelic care a real option for the millions who need it, not just those lucky enough to know the right person. The second part is everyday mental healthcare - mental health diagnostics, antidepressant journeys, the unmet clinical touchpoints, the patients who leave a 20-minute appointment with a prescription and no roadmap. As CMO of Pink Elephant's Mental Health portfolio, you will own full-stack marketing across the portfolio, from go-to-market and positioning to performance-driven growth. Pink Elephant's Mental Health portfolio has strong products and no connecting logic. withClaro, our flagship companion app for people on antidepressants, sits next to several other products that do not yet add up to a single proposition. We know there is demand. We do not yet know precisely who we serve, what we promise them, or what makes them stay. This role owns that. You will work as a partner to the CEO and the CPO, not as a service function downstream of them. The mandate is to define the segments, the positioning, and the portfolio architecture that everything else is built on. Channels and spend follow from that work; they do not lead it. Key expectations & responsibilities The responsibilities of this position include, but are not limited to: Find and sharpen PMF (primary focus) Run structured discovery: user interviews, retention curves, cohort analysis, to identify the segments where Claro and the other portfolio products genuinely stick; Own positioning and messaging, validated through live tests rather than internal debate; Define what differentiates our products from general-purpose AI tools, which is currently our hardest communication problem; Close the loop with product on what actually drives retention, and make that loop a standing process rather than a one-off project. Portfolio architecture Build the connecting concept for the portfolio: a single proposition into which each product fits, or an explicit decision that a product does not belong; Make and defend calls on each asset: scale, merge, reposition, or retire; Define how one product feeds the next, so that an audience acquired once can be served across the ecosystem; Design the ladder across price points and commitment levels, from low-cost subscription to higher-touch, clinician-adjacent services. Activation, retention & monetization Own the full funnel: install, activation, trial, subscription; Establish a reliable retention benchmark and improve against it; Partner with product on paywall, pricing, and trial mechanics; Run lifecycle marketing: onboarding, CRM, win-back. Route to audience Define who reaches our users and through whom. Our medical advisers, currently 4 therapists and 4 psychiatrists in the UK and EU, are an underused asset and a likely route to market; Design and test the b2b2c motion through clinicians and partners, including what we sell them and how; Shape channel strategy and hypotheses for the growth team to execute, and validate channel-message fit before spend is scaled; Grow organic share through ASO, content, and referral loops. Experience: What You Bring Product marketing operator profile 7+ years in marketing for early-stage B2C or B2B2C digital products, with product marketing at the centre: segmentation, positioning, messaging, pricing; Proven track record of taking products from zero to one, where the audience and the proposition were not yet obvious; Demonstrated results in retention and monetization, not only in acquisition; Strong data fluency: you think in cohorts, retention curves, and CAC-to-LTV; Comfortable specifying and reading the analytics you need rather than waiting to be given them. Ecosystem mindset Experience marketing a portfolio or a multi-brand structure rather than a single product; Comfortable holding several products at different stages, from pre-launch to scaling, and zooming in and out between them; Experience with venture builders, accelerators, or startup studios is a plus. Partner, not executor You argue with the CEO when you disagree and commit once a decision is made; You are comfortable being the person who decides what we stop doing; You bring structure to ambiguity rather than waiting for it to be resolved for you. Values & domain alignment Deep interest in or experience with mental health, wellness, digital therapeutics, or other mission-driven consumer products; Understanding of what responsible marketing looks like in mental health, where claims, tone, and user trust are under scrutiny; Experience with regulated categories or with b2b2c motions through professionals is a major plus. Compensation: TBD

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - As an Executive Assistant supporting the Office of the Co-Founders at Sierra, you will provide a wide range of strategic and administrative support to our Co-Founders and their teams. - Play a pivotal, high-trust role in a dynamic, fast-paced environment. You’ll partner closely with the existing executive support team to execute complex logistics, travel, meetings, events, and special projects with precision and foresight. - Act as a second assistant to our Co-Founders, coordinating complex travel, running logistics for all onsite meetings, helping the team with projects (large trip planning, events, etc) and generally be ready and able to jump in when extra support is needed. - Anticipate needs, identify potential issues, and proactively develop solutions that keep priorities and commitments moving forward. - Serve as a trusted liaison to internal teams, vendors, and external partners, building strong relationships while safeguarding the priorities of the Office of the Co-Founders. - Plan and execute leadership travel, team off-sites, executive dinners, on-site meetings, and other internal or personal events as needed. - Take ownership of evolving requests and projects, remaining flexible and ready to provide additional support wherever it is most needed. - Handle sensitive information and materials with the utmost confidentiality, discretion, and sound judgment. WHAT YOU'LL BRING - 3+ years of experience in executive support or a similar high-level administrative role. - Willingness and ability to work on-site in San Francisco up to five days per week, including consistent presence when the co-founders are on-site. - Exceptional attention to detail and an anticipatory, white-glove service mindset, with the ability to operate independently and deliver polished, seamless support with limited direction. - Exceptional organizational and time-management skills, with the ability to manage competing priorities accurately in a fast-paced environment. - Proven ability to partner effectively with senior executives, cross-functional teams, vendors, and external stakeholders. - Advanced proficiency with Google Workspace and Slack, along with the ability to learn new tools quickly. EVEN BETTER... - Experience in a fast-growing, in-person start-up environment. - Experience working with C-suite executives. - Experience working within a dual, floating, or team-based Executive Assistant structure. - Experience managing complex travel, executive events, and high-touch on-site logistics. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Ramat Gan, Israel About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt works together with over 30,000 restaurant and retail partners as well as with over 60,000 courier partners across 23 countries and 129 cities. Our apps (iOS and Android) have the industry’s highest reviews, largely because of our customer-centric approach to how we build our products and operations. For example, our customer service team responds in a matter of seconds, in the customer’s own language. We’ve raised more than €707M in financing from renowned U.S. and European based investors, such as ICONIQ Capital, Tiger Global, DST, Prosus, KKR, Coatue, 83North, Goldman Sachs, Highland Europe and EQT Ventures & EQT Growth, among others. We've also been fortunate enough to receive some appreciation and recognition for our hard work along the way: Apple selected Wolt’s app as their Editors' Choice, Wired named the company one of the "Hottest Startups in Europe," Forbes included our CEO Miki Kuusi on its 30-under-30 in Consumer Tech list, and the Nordic Startup Awards named Wolt Company of the Year. In 2020, the Financial Times named us Europe’s second fastest growing company. We’re still expanding rapidly and are looking for more talented individuals to join us. If you are passionate about cutting-edge technology, great food, and making an impact in your city, then Wolt just might be for you. Wolt is more than just a food and retail delivery operation – in fact we are built upon a solid foundation of state-of-the-art technology. Our internal tooling enables us to ramp up new cities efficiently and provide excellent customer service, our own logistics platform allows us to optimize our couriers' work to get you the food you want as fast as possible, and our restaurant platform allows restaurants to offer exciting food experiences for our customers in an optimal way. We work in small teams with high ownership, with each team focusing on a key area of the Wolt product stack. Every one of our product team members has a say in where we are going and what solutions we implement. We work with a passion, but we haven't forgotten how to have fun along the way! We’re now looking for a driven, charismatic, and commercially minded Ads & Promo Sales Specialist (SMB) to join our team in Israel. In this role, you’ll own the end-to-end sales journey for Small and Medium Businesses, acting as a trusted partner who combines strong sales execution with media understanding and analytical thinking. This is a high-impact role with real ownership, visibility, and opportunity to shape how merchants grow on Wolt. What you’ll be doing In this role, you’ll manage the full SMB sales cycle while working closely with local sales and account management teams to scale Wolt’s Ads and Promotions offering. Day-to-day in this role you’ll: Own the full sales cycle with SMB merchants, including prospecting, meetings, proposals, negotiation, and closing Lead sales conversations with business owners and key decision-makers, building long-term partnerships Create tailored advertising and promotion solutions based on merchant goals and performance data Analyze campaign results and translate insights into clear, actionable recommendations for merchants Collaborate closely with local sales and account management teams, sharing insights and best practices Act as a knowledge partner by supporting, training, and motivating Account Managers to sell Ads and Promotions effectively Our humble expectations* 3+ years of experience in a sales role, ideally within media, e-commerce, or trade marketing Proven experience working with SMBs and managing full-cycle sales processes Strong commercial and analytical mindset, with the ability to use data to drive decisions Experience working with CRM tools (e.g. Salesforce, HubSpot, Monday) Excellent communication skills in both Hebrew and English, with confidence engaging senior stakeholders What we offer A high-impact sales role at the intersection of media, retail, and technology Real ownership over your pipeline, results, and merchant relationships The opportunity to work with diverse local businesses and directly influence their growth A collaborative, fast-paced environment with strong cross-team partnership Continuous learning and professional development within one of Wolt’s fastest-growing domains[ Next steps* If this role sounds like a good fit for you, we’d love to hear from you. Apply through our careers page, and our Talent Acquisition team will review applications on a rolling basis. The hiring process typically includes an initial recruiter conversation, followed by interviews with the hiring team and a practical or business-focused exercise. Wolt Ads are trusted by over 180,000 brands and merchants worldwide. Over 80% run ongoing campaigns and continue to return. You are invited to visit link below and watch the short video to learn more about Wolt Ads. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Head of Partnerships & Communications, Mirari at Pink Elephant Pink Elephant builds infrastructure of products at the frontier of mental health on EU&US markets. Mental health is a global crisis hiding in plain sight. Nearly 1 in 8 people live with a mental disorder. Depression and anxiety alone strip $1 trillion from the global economy every year. Conventional treatment leaves most patients cycling through mediocre solutions for years - undertreated, undersupported, and underinformed. Progressive therapies are showing results up to 10 times more effective than standard care. Yet fewer than 5% of people can access them. We're here to close that gap. Our portfolio spans two fronts. The first is psychedelics - building the media, vetted practitioners directory and education for both therapists and end users.  Such a synergy is designed to make evidence-based psychedelic care a real option for the millions who need it, not just those lucky enough to know the right person. The second part is everyday mental healthcare - mental health diagnostics, antidepressant journeys, the unmet clinical touchpoints, the patients who leave a 20-minute appointment with a prescription and no roadmap. The Role As the Head of Partnerships & Communications for Mirari (the education vertical of Pink Elephant), you will build the partner side of Mirari and run its communications end to end, with your own hands. Mirari is being relaunched as a shared platform for short author-led courses in the European psychedelic education and therapy space. You will work alongside the Head of Product as one of two core leaders in the vertical, bringing teachers and organisations onto the platform and driving organic growth through network-driven strategies. Responsibilities: What you drive Teacher & Organisational Partnerships (The Core): Identify, pitch, and onboard leading European psychedelic teachers, researchers, and practitioners. Form strategic alliances with relevant organisations for co-hosted webinars, newsletter exchanges, affiliate/referral set-ups, and presence at key annual conferences. Leveraging group assets (States of Mind podcasts, PsyStandard community, PsyAccess) as part of the partnership toolkit. End-to-End Course Communications: Create launch packs for every course (landing copy, email sequences, social posts, webinar pages, replays, and partner kits with tracked links). Maintain Mirari’s voice and positioning across LinkedIn, Instagram, site, and email campaigns. Manage webinar operations (announcements, registration, production, follow-ups). AI-Powered Content Engine: Build, automate, and maintain a repeatable content machine using AI tools for writing, research, and operations rather than producing every asset manually. Performance Ownership & Measurement: Own key goal metrics: courses announced, audience collected (webinar registrations and email subscribers), and course enrolments. Maintain a weekly one-screen report. Success Milestones (First 90 Days): Maintain all running webinars and communications, prepare launch packs, open 10+ network conversations, run 3+ webinars, launch 3+ organisational partnerships, announce 5+ courses, collect 500+ audience members, and establish enrollment tracking. Experience: What you bring Active European Network: An existing, verifiable network in the European psychedelic field (education, therapy, research, harm reduction, integration, retreats) with strong relationships to open conversations immediately. Relevant Experience: 5+ years in partnerships, communications, community, or BD (preferably in education, health, or mission-driven orgs); proven track record of building initiatives from zero. Execution Mindset: Highly hands-on temperament - comfortable writing emails, making calls, hosting webinars, and refining landing pages in a two-person vertical structure. AI-Native Skills: Daily proficiency with AI tools to scale content production, research, writing, and workflow automation. Communication & Location: Excellent written and spoken English in a sober, evidence-aware tone; understanding of legal/platform regulations on psychedelics; based in Europe (remote). Nice-to-Haves: Experience marketing online courses/cohorts, public speaking/hosting, knowledge of email/analytics tools (Kit, MailerLite, Brevo), and a second European language. What Success Looks Like The person steps into a running launch calendar: webinars and all course communication are theirs to maintain from the first month, and the kits (launch pack, partner kit) are prepared by them in that month. First 30 days: all running webinars and course communication maintained; launch pack and partner kit prepared and in use; ten conversations opened from their own network; one partnership launched (co-hosted webinar, newsletter exchange or a new teacher confirmed); weekly report running. First 60 days: three or more webinars run; three organisational partnerships live; partner kit in use by every announced teacher; two new teachers confirmed from their own network. First 90 days: five or more courses announced with their involvement; 500+ people collected into webinar registrations and the email list; first enrolments on every announced course; a written view of which partnerships bring enrolments and which do not, feeding the 2027 plan. Perks & Format: Why join us Flexible Format: Competitive compensation and potential fractional arrangements (3 days/week) available pro rata. Performance Component & Equity Path: Performance bonus tied to partnership-driven enrolments is possible, plus a clear path to leadership, partnership in the project, and equity. Impact & Growth: Opportunity to build a first-of-its-kind shared infrastructure for psychedelic education in Europe alongside a venture-backed startup ecosystem. Flexible Remote Work: Fully remote environment across Europe with high autonomy. Compensation: TBD

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. This dynamic and engaging role does not fit the average definition of Desktop Support. For SIE, the Studio IT Support Specialist possesses a mix of skills and experience often found in desktop support, helpdesk support, and limited system administration roles. The right candidate is versed in a wide range of client technologies; responsible not only for the implementation, maintenance, and highest level of performance-tuning for client technology, but also for being a champion for strong working relationships directly with the people who utilize that technology. This is a customer service role and fundamental to its success is building and maintaining support relationships with internal business teams, promoting trust, setting expectations, and achieving mastery in customer service. The ability to think strategically at a fast pace, troubleshoot accurately while navigating interdependent system relationships - all while driving multiple projects to successful completion in tight, shifting deadlines is the reality of this position. Please note, flexibility is possible, but this is considered primarily an in-person role, reporting daily to offices located in Playa Vista, California. Responsibilities Provides helpdesk-level coverage and support for internal clients. Coordinates, diagnoses, and troubleshoots incoming employee requests for support according to established process Solve technical problems and information technology issues involving desktop, laptop or network services from local personnel or from employees using network remote access. Collaboration with remote sites expected and encouraged Provides timely resolution of problems or escalation on behalf of customer to appropriate technical personnel Develops, documents, and implements standard operating procedures and customer service guidelines relating to IT support Perform first and second level support and troubleshooting for workstation and mobile systems Interface directly with end users in peril, lead and resolve incidents in an efficient manner, maintaining the highest levels of customer support and response and documentation Establish and maintain direct relationships with business units as a support resource and contributing member of the production teams Organize the unorganized, communicate thoroughly and effectively in both written and spoken forms across the organization Work proactively to determine potential issues existing in the environment. Apply performance tuning techniques where applicable Research new trends and technologies leading to testing and justification for deployment Be available off hours for scheduled, week-long on-call rotation, which will include system maintenance and emergencies Perform inventory management of team resources; apply workstation build technologies; configure and manage user account provisioning and permissions Be eager to grow and develop new skills and tackle special projects as needed Required Skills Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully Strong in client hardware and software; strong email/messaging troubleshooting experience; mid to advanced-level understanding of Windows OS Skilled in Microsoft Office Suite and other production software packages (Adobe, Maya, Zbrush, Visual Studio, etc.) Must understand and communicate system concepts to end users and technical teams Familiar with the concepts behind a distributed build system; familiarity with enterprise storage technologies (SAN, NAS, iSCSI) – NetApp, EMC, HDS ideal; basic networking skills; knowledge of security concepts and industry best practices Ability to interact effectively with others on varying technical competency, vendors, management, and staff Manages competing demands and changes approach or method to best fit the situation Takes responsibility for own actions; Keeps commitments; Commits to required work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. Is actively available to respond when needs arise Volunteers readily, undertakes self-development activities and seeks increased responsibilities; asks for and offers help when needed Operates across multiple projects concurrently and assumes responsibility for implementation of projects Preferred Experience Linux and Mac OS experience are both a strong plus Appreciation and experience in platform/computer/video gaming is preferred! #LI-SMS #LI-AM1 Avoid Recruitment Scams/Phishing Attempts: Please be aware that any official outreach in response to your application will always be done from a @sony.com email address . Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying. Anyone using an email that is not @sony.com is not affiliated with us and should be reported either via the platform they are contacting you on or directly to your email service as a phishing attempt/scam. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $86,000 — $129,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.