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Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Senior Growth BI Project Manager to join our CEO Office. This is a high-impact, end-to-end role that sits at the intersection of data intelligence and execution — covering OKX's key regulated markets globally. You will own the full loop: identifying growth problems through data, diagnosing root causes, shaping recommendations, and driving outcomes through cross-functional execution. Beyond technical and operational skills, what will set you apart is who you are. We are looking for someone with an exceptional ability to learn fast and operate in unfamiliar territory without losing direction. Someone who does not wait to be told what matters — you find it yourself. Someone who genuinely cares about the work and brings energy to problems that others find too messy or too ambiguous to touch. What You'll Be Doing Growth Analytics & Insight Monitor core growth metrics across regulated markets, proactively identifying anomalies, trends, and emerging opportunities. Conduct structured root-cause analysis on growth performance — moving beyond data description to diagnosis: why did this happen, and what should we do about it. Translate analytical findings into clear, prioritized recommendations for senior leadership and local market growth teams. Build and maintain analytical frameworks and dashboards that give leadership a clear, real-time view of market health and growth efficiency. Program Management & Execution Own the end-to-end execution of key growth initiatives: from scoping and planning through to delivery and outcome tracking. Drive cross-functional coordination across growth, product, engineering, and operations teams — ensuring alignment, accountability, and on-time delivery. Define measurable success criteria for each initiative and close the loop on results. AI-Augmented Ways of Working Actively apply AI tools and automation to accelerate analysis, reporting cycles, and operational workflows. Champion AI-native practices within the team and demonstrate productivity gains through concrete examples. What We Look For In You At least 4 years of experience in growth analytics, business intelligence, strategy, or program management — ideally from a top internet company, fintech, Web3 firm, or management consulting background. Exceptional learning agility — able to rapidly absorb new domains, connect the dots across unfamiliar data, and develop informed views in areas where you had no prior expertise. Strong logical and quantitative thinking — you break complex problems into structured components and form conclusions grounded in evidence, not assumption. Extreme self-motivation and ownership — you take full accountability for your workstreams, set your own direction, and are not satisfied until you see measurable outcomes. A genuine drive and passion for the work — you thrive in ambiguous, fast-moving environments, and find clarity and momentum where others find friction. Excellent communication skills; able to adapt between technical and non-technical audiences, and comfortable presenting to senior leadership. Bilingual proficiency in English and Mandarin Chinese is preferred to work with stakeholders in Mandarin-speaking markets. Nice to Haves Prior experience in the Web3 or crypto industry, or as a user of crypto products — genuine familiarity with the space is a meaningful advantage. Hands-on experience building AI agent systems or complex workflows, beyond general tool usage. Experience working within international or multinational organizations, with cross-regional stakeholder exposure. Solid track record in growth analytics or channel analysis — comfortable working with acquisition, retention, and channel performance data, and experience translating analytical work into growth decisions. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York City; Remote (United States); San Francisco ABOUT THE ROLE We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast. You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time. You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers. WHAT YOU'LL DO - Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft - Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves - Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs - Work with Brand to keep visual consistency across every web touchpoint - Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer - Bring a strong point of view on layout, typography, motion, and interaction design for the web - Raise the floor on self-serve page creation so the design team can focus on the highest-craft work WHAT WE'RE LOOKING FOR - A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first - Excellent visual design skills with a clear sense of brand, typography, and composition - Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems - Experience at the intersection of brand and growth — you understand conversion without sacrificing craft - Comfort working fast and iterating in real time alongside engineers - Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance - A clear opinion on what makes a great web page, and the ability to articulate why NICE TO HAVE - Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship) - Background in brand or marketing design at a consumer tech company - Familiarity with SEO fundamentals and how design decisions affect discoverability - Motion design skills for web interactions and micro-animations

Location: New York City; Remote (United States); San Francisco ABOUT THE ROLE We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast. You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time. You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers. WHAT YOU'LL DO - Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft - Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves - Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs - Work with Brand to keep visual consistency across every web touchpoint - Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer - Bring a strong point of view on layout, typography, motion, and interaction design for the web - Raise the floor on self-serve page creation so the design team can focus on the highest-craft work WHAT WE'RE LOOKING FOR - A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first - Excellent visual design skills with a clear sense of brand, typography, and composition - Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems - Experience at the intersection of brand and growth — you understand conversion without sacrificing craft - Comfort working fast and iterating in real time alongside engineers - Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance - A clear opinion on what makes a great web page, and the ability to articulate why NICE TO HAVE - Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship) - Background in brand or marketing design at a consumer tech company - Familiarity with SEO fundamentals and how design decisions affect discoverability - Motion design skills for web interactions and micro-animations

Location: United States; United Kingdom; Romania; Poland; Georgia; Spain About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a versatile GTM Engineer to bridge the gap between our technical product capabilities and our ambitious revenue goals. In this role, you will be the architectural backbone of the sales process, ensuring that our technology solves real-world business problems for our customers. You will sit at the intersection of Engineering, Product, and Sales, acting as a technical advisor who can both high-level strategize and deep-dive into code to close complex deals and accelerate market adoption. Key Responsibilities Partner with the Sales team to lead technical discovery, product demonstrations, and proof-of-concept (POC) engagements. Build custom integrations, scripts, and demos that showcase the unique value proposition of the product to prospective clients. Act as the "voice of the customer" for the product team, translating field feedback into actionable product requirements and roadmap items. Develop technical sales collateral, including documentation, best practices guides, and modular code snippets. Troubleshoot and resolve technical hurdles during the pre-sales and onboarding phases to ensure a seamless customer transition. Stay ahead of industry trends and competitor landscapes to position our technology effectively against market alternatives. Requirements Proven experience in a technical, customer-facing role (e.g., Solutions Engineer, Forward Deployed Engineer, or Sales Engineer). Strong proficiency in at least one major programming language (Python, JavaScript, Go, etc.) and comfort working with APIs and databases. Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders. A "builder" mindset with the ability to work independently in a fast-paced, sometimes ambiguous environment. Strong problem-solving skills and the ability to diagnose technical issues on the fly. Track record of supporting high-growth GTM motions and hitting revenue-linked milestones. Experience working in early-stage or venture-backed startups. Deep understanding of cloud infrastructure (AWS, Azure, or GCP). Familiarity with modern GTM tech stacks (Salesforce, HubSpot, or specialized data tools). Contributions to open-source projects or a strong portfolio of technical content creation. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Doha, Qatar; Ras Al-Khaimah, United Arab Emirates Apt Resources is seeking an experienced Chef De Cuisine specializing in Greek cuisine to join a prestigious restaurant in Dubai. The ideal candidate will lead the kitchen team in crafting authentic and innovative Greek dishes that delight guests and uphold the restaurant’s reputation for excellence. In this role, you will oversee menu development, kitchen operations, staff training, and quality assurance, ensuring the highest culinary standards are met consistently. Responsibilities: Create and refine a menu highlighting traditional and contemporary Greek cuisine. Manage and mentor kitchen staff to maintain smooth operation and high performance. Ensure compliance with food safety and hygiene standards. Control inventory, sourcing premium ingredients characteristic of authentic Greek flavors. Collaborate with front-of-house teams to deliver an exceptional dining experience. Monitor kitchen efficiency and implement improvements as needed. Stay informed of culinary trends and incorporate fresh ideas into the menu. Requirements Proven experience as Chef De Cuisine or Head Chef, with a strong focus on Greek cuisine. Comprehensive knowledge of authentic Greek recipes and cooking techniques. Exceptional leadership and communication skills. Ability to manage a high-performing kitchen team in a fast-paced environment. Strong organizational and time-management abilities. Passion for culinary innovation and quality. Knowledgeable about food safety and hygiene regulations. Benefits As per the market standards

Location: Dubai, United Arab Emirates We are seeking a highly motivated and detail-oriented Planning Engineer to join our growing team in Dubai. The ideal candidate will have 3–5 years of UAE experience in project planning, scheduling, monitoring, and reporting within the construction industry. The successful candidate will be responsible for developing project schedules, tracking progress, identifying potential delays, and ensuring projects are delivered on time and within budget. Strong analytical skills, proficiency in planning software, and the ability to coordinate with multiple stakeholders are essential for this role. Key Responsibilities Prepare, develop, and maintain project schedules and work programs. Monitor project progress against approved baselines and milestones. Analyze project performance and identify risks, delays, and corrective actions. Prepare weekly and monthly progress reports for management and clients. Coordinate with project managers, site engineers, consultants, and subcontractors to ensure project timelines are achieved. Conduct critical path analysis and resource planning. Review project scope, schedules, and resource requirements. Assist in the preparation and evaluation of extension of time (EOT) claims. Track procurement, engineering, and construction activities to ensure alignment with project schedules. Generate look-ahead schedules and recovery plans when required. Ensure compliance with company and client planning requirements. Requirements Bachelor's Degree in Civil Engineering, Construction Management, or a related field. Minimum 3–5 years of UAE experience as a Planning Engineer . Strong experience in construction, fit-out, infrastructure, or building projects. Proficiency in Primavera P6 is mandatory. Knowledge of Microsoft Project, Excel, and project reporting tools is preferred. Experience working on large-scale commercial, residential, hospitality, or infrastructure projects in the UAE. Knowledge of contractual planning requirements and claims management. PMP certification or Primavera certification is an advantage. Strong understanding of project planning methodologies, scheduling techniques, and resource management. Experience in project monitoring, delay analysis, and progress reporting. Excellent communication and coordination skills. Ability to work independently and manage multiple project schedules simultaneously. Fluent in English (written and spoken). Benefits Competitive salary package. Opportunity to work on high-profile projects. Professional and collaborative work environment. Career growth and development opportunities. Performance-based advancement opportunities. If you are an experienced Planning Engineer with a strong background in UAE construction projects and project scheduling, we encourage you to apply.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis Work closely with product and design teams to scope, prototype, and ship features for life sciences users Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) A track record of shipping computational tools or pipelines that biologists actually use Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment Able to work independently while collaborating tightly with research, product, and domain-expert teams Results-oriented with a bias toward rapid iteration and measurable impact Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) Experience building agentic systems or tool-use environments Published research in ML for biology, or open-source contributions to computational biology tools Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. As a Senior Machine Learning Engineer in the Search Quality team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the systems that power relevance for global retailers - from fashion and grocery to electronics and hardware. The mission is to measure search quality, push it higher, and catch degradations before the user does. You will achieve this through a blend of fine-tuned LLMs for relevance judgment, real-time models, and deep offline analysis of query logs. ABOUT THE JOB Your primary focus will be relevance evaluation and quality improvements: - LLM-based evaluation. We fine-tune our own models to assess relevance. This involves teaching the model to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior. - Real-time quality in production. Reranking, filtering, signal computation. Latency is a strict requirement, so quality vs speed tradeoff is constant. - Automated quality monitoring and agentic insights. Pipelines to detect degradations and find underperforming patterns. Agent-based systems that generate actionable recommendations for the product data and search configurations. WHAT MAKES THIS INTERESTING - Multi-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides. - No universal ground truth. A grocery retailer and a fashion retailer may have different perceptions on what "relevant" means. - Efficiency at scale. Optimizing and scaling LLM inference across our entire customer base. REQUIREMENTS - 4+ years shipping production ML systems - Experience with search, information retrieval, or recommendation systems - Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments - Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow) - Experience designing and running A/B tests to validate model impact - Excellent English communication skills - Experience collaborating in cross-functional teams (ranking, product, data engineering) BENEFITS - 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. - 🎉 Regular team offsite events to connect and collaborate. - 🌎 Fully remote team - choose where you live. - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🧑‍🎓 Training and development budget for every employee, refreshed each year. - 👪 Maternity & Paternity leave for qualified employees. - 💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - EMEA Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT YOU You're a product designer who owns problems, not screens. You're comfortable with ambiguity, can partner with PMs to shape direction, and know how to translate research insights into production-ready interfaces, working closely with engineers. You ship work that matters. THE TEAM Our AI Agent Tools team is building a new category of e-commerce experience: intelligent agents that guide shoppers, learn from merchandiser expertise, and drive real business outcomes. This is one of the most consequential design problems in retail right now, and it's wide open. REQUIREMENTS The Role You'll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI. - You'll define what agentic shopping looks like — Not just chatbots bolted onto search, but genuinely new interaction patterns where AI understands what a shopper wants and helps them get there. There's no established playbook here. The patterns you set will shape how the rest of the industry approaches it. - You'll shape how merchandisers control it — You will collaborate with Agent Orchestrators—professionals blending data analysis, design, and shopper psychology—to design the dashboard tools that allow them to configure, train, and optimize new shopping journeys without engineering support. - You'll prove it works in the real world — From running UI experiments on live retailer sites to validating new shopping experiences with actual shopper data, your designs ship and get measured. What You'll Own - Research & validation — Conducting shopper research and running experiments alongside product and data teams to validate hypotheses with real input. - Interaction design for agentic experiences — Mapping novel user flows where AI/LLMs drive the shopping journey, for both shoppers and the merchandisers who orchestrate them. - Visual strategy — Defining a bold design direction that represents what product discovery looks like in 2027. - High-fidelity delivery — Producing final mockups and assets across key surfaces: homepage, search, PDP, filtering, guided shopping, and agent configuration. - UX patterns — Ensuring designs scale within Constructor's evolving design system and component library. What We Value Beyond Craft Beyond being a thoughtful designer, user advocate, and strong collaborator, here are a few things we really value: - A goal-oriented, iterative mindset — You focus on solving high-impact problems and are comfortable learning, improving, and shipping quickly. - Practical experience with research — You’ve led user interviews, usability tests, and data analysis. - Experience designing for unfamiliar problems — You’ve worked on products where you had to understand complex workflows outside your own experience—especially in B2B contexts. - Systems thinking — You spot patterns, define systems, and design scalable, reusable solutions. BENEFITS - 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact. - 🎉 Regular team offsite events to connect and collaborate. - 🌎 Fully remote team - choose where you live. - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🧑‍🎓 Training and development budget for every employee, refreshed each year. - 👪 Maternity & Paternity leave for qualified employees. - 📈 Stock options - offered in addition to the base salary Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: New York or Remote (US) Workplace: Remote ABOUT INJECTIVE LABS Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. ABOUT THE ROLE Full-time Position – Hybrid or Remote – Ideally NY. We’re looking for a Senior Technical Product Manager to help shape and scale products across the Injective ecosystem. You will work closely with engineering, design, and leadership teams across multiple initiatives, helping drive product direction, prioritization, and execution from ideation through launch and iteration. We’re open to different backgrounds for this role. You may come from a strong crypto-native background with deep understanding of exchanges, DeFi, or financial systems, or from a leading technology company with experience building and scaling high-quality technical products. What matters most is strong product thinking, execution, communication, and genuine curiosity about the future of crypto and finance. WHO IS THIS ROLE FOR? This role is for someone who thrives in fast-paced environments, has strong product fundamentals, likes working with high ownership, and can operate effectively in highly technical environments. Most importantly, this role is for someone genuinely passionate about DeFi. Someone who can quickly understand context, challenge the status quo, and constantly push the bar to deliver better products and user experiences. If you consider yourself someone who knows how to take ownership, lead initiatives end-to-end, and at the same time roll up your sleeves and operate as an IC, this role is for you. If you’re looking for highly structured processes, clearly defined playbooks, or a comfort-zone environment, this role is probably not for you. We move fast, priorities evolve quickly, and we value people who are proactive, adaptable, and drive solutions forward. RESPONSIBILITIES: - Drive product development across multiple initiatives, from new products and feature ideation through launch, iteration, growth, and continuous improvement - Contribute to product strategy and roadmap planning aligned with company objectives - Partner closely with engineering, design, and leadership teams to define product direction and priorities - Own prioritization decisions using user feedback, product intuition, data, and business context - Translate complex technical concepts and user needs into clear product requirements and execution plans - Maintain a strong product quality bar across user experience, functionality, and execution - Define and monitor key product metrics and use insights to improve decision-making - Work cross-functionally with teams across engineering, growth, BD, operations, and support - Operate effectively in a fast-paced environment with evolving priorities and high ownership expectations   WHO YOU ARE: - 7+ years of experience in Product Management, preferably working on technical or infrastructure-heavy products - Strong product fundamentals and proven product judgment - Strong technical understanding and experience working closely with highly technical teams, with a solid understanding of finance - High ownership mentality with the ability to independently drive initiatives forward - Comfortable operating in ambiguity and fast-moving startup environments - Strong communication and cross-functional collaboration skills - User-focused with strong attention to product quality and execution standards - Technical background, engineering experience, or a technical degree is a strong plus - Genuine interest in crypto, financial infrastructure, and emerging technologies - Experience in crypto, exchanges, DeFi, fintech, trading systems, or financial products is a strong plus - Experience at high-performing technology companies is also highly valued - Fluent in English - Ideally based in New York or open to relocating WHY WORK WITH US? - Competitive salary and INJ token award - Unlimited PTO - Equipment - Home Office Stipend - Opportunity to work on cutting-edge blockchain technology in the finance industry. - Collaborative team culture with opportunities for professional growth and development. - Global team meet ups. As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Location: Remote - Maryland Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - South Carolina Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Ciudad de México, Mexico Workplace: on-site The Marketing Manager will be responsible for developing and executing both offline and online marketing strategies to drive brand awareness, customer acquisition, and business growth. This role requires a highly creative and analytical professional capable of operating in a fast-paced startup environment Key Responsibilities Develop and execute marketing campaigns across online and offline channels. Manage digital marketing initiatives including paid media, social media, SEO, and CRM campaigns. Coordinate branding and merchant marketing activities. Analyze campaign performance and optimize acquisition strategies. Collaborate with Sales and Operations teams to support business growth. Manage relationships with agencies and marketing vendors. Support customer retention and engagement initiatives. Monitor market trends and competitor activity. Develop marketing KPIs and reporting dashboards. Bachelor’s degree in Marketing, Communications, Business, or related field. 5+ years of marketing experience. 2+ years of management experience Experience in startups, financial services, retail, or consumer-focused industries preferred. Strong understanding of digital marketing channels and analytics. Creative and data-driven mindset. Advanced English

Location: San Francisco; New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey's AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Our customers depend on us to deliver a secure, trustworthy, and compliant platform and earning that trust is a business enabler we value above all else. In this role, you'll report to the Head of Trust and serve as the engineering backbone of Harvey's compliance and assurance programs. You'll build and own the data infrastructure, automation tooling, and AI-powered workflows that allow our Trust team to scale audit readiness, continuous monitoring, and risk reporting without scaling headcount. This means selecting best-in-class compliance automation platforms, building our own compliance data layer, and developing AI-powered workflows to automate evidence collection, control testing, and assurance reporting. WHAT YOU'LL DO - Own the implementation and optimization of Harvey's compliance automation tooling to automate workflows across compliance programs - Design and build a compliance data layer in Snowflake — ingesting signals from infrastructure, security tools, and SaaS platforms to create a real-time view of control health and audit readiness - Develop AI agents and automated pipelines for evidence collection, control testing, and continuous monitoring at scale - Partner with Engineering and Security to map technical implementations to compliance controls and maintain a living, accurate control inventory - Build reporting layers that translate compliance signals into clear narratives on risk posture and certification status for executive and cross-functional audiences WHAT YOU HAVE - 6+ years in software, data, or security engineering with exposure to compliance automation or trust and assurance programs - Hands-on experience building data pipelines on Snowflake, BigQuery, or comparable platforms; strong SQL and Python - Experience implementing or administering compliance automation platforms - Working knowledge of at least one compliance framework — enough to understand control requirements and map them to technical implementations - Experience building AI-powered workflows or agents using LLMs NICE TO HAVE - Experience at a high-growth SaaS company building or scaling a Trust or compliance engineering function from the ground up - Familiarity with cloud infrastructure (AWS, GCP, Azure) and how infrastructure-as-code tools connect to compliance evidence - Prior involvement in government compliance programs COMPENSATION $220,000 - $330,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KV1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Warsaw Our Security team keeps Asana's employees, users, and customers safe, by proactively addressing threats and fostering a culture of security throughout our product and operations. We are looking for a savvy Security Engineer to join our Blue Team in Warsaw. You will be a foundational member of the security presence in our Warsaw innovation hub, partnering directly with IT, infrastructure, and product teams to ensure we have robust detection and response capabilities. Detection and response here leans on engineering practice. We are investing in automation and detection-as-code to cut down on manual triage, and we are looking for someone comfortable writing and reviewing code as part of that work. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve: Lead detection, analysis, and response across our cloud and SaaS environments, identity providers, endpoints, and the software supply chain , ensuring timely and effective remediation of security incidents. Investigate and remediate security incidents across cloud infrastructure (AWS/GCP/Azure), identity providers (e.g., Okta), and SaaS environments. Investigate and contain software supply chain and CI/CD incidents , from unauthorized changes in build environments to suspect third-party dependencies (e.g., npm, PyPI). Help build and maintain our detection-as-code infrastructure (e.g., Panther), SOAR automation, and response playbooks, treating detection logic as tested, version-controlled production code. Utilize and optimize security tools such as Panther for SIEM, CrowdStrike for endpoint detection and response, and other security platforms. Conduct proactive threat hunting and operationalize threat intelligence across cloud, endpoint, and identity telemetry to catch threats beyond standard SIEM alerting. Conduct forensic analysis during security incidents to understand the scope and impact of incidents. Collaborate with engineering teams to integrate security best practices into development processes and provide guidance on secure configurations. Develop and deliver training to educate engineers on security operations and incident response best practices. About you: 7+ years of experience in threat detection, security operations, or incident response , including investigating incidents across cloud platforms, identity providers, and SaaS applications, with practical knowledge of audit logging and IAM. Proficient in Python ( Bash, Go, or JavaScript/TypeScript is a plus ) for security scripting and automation , with hands-on experience across REST APIs, Git workflows, and PR-based code reviews . Hands-on experience investigating software supply chain threats , with fluency in auditing modern developer ecosystems (e.g., npm, PyPI), build logs, and CI/CD pipelines. Familiarity with "Detection as Code" methodologies , including test-driven detection logic and rule management through CI/CD pipelines. Strong experience with SIEM platforms (e.g., Panther, Splunk, Elastic Security) for log analysis, alert correlation, and dashboard creation. Deep working knowledge of endpoint detection and response (EDR) tools (e.g., CrowdStrike, SentinelOne) with specialized expertise in macOS endpoint security, telemetry, and threat detection capabilities. Experience performing digital forensics and root-cause analysis to determine incident scope and impact. Familiarity with common attack techniques, tactics, and procedures (TTPs) and frameworks like MITRE ATT&CK. Collaborative and pragmatic, with strong communication skills across technical and non-technical partners, committed to building robust defenses and helping engineers do their best, most secure work . Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we offer: Generous, transparent and fair compensation system (base salary and RSUs). Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles). Health insurance with dental and travel coverage (Lux Med). Breakfast and lunch catering on the days that you work from the office. Vacation allowance. Career growth budget. Home office setup budget. Gym/Fitness card. Fertility healthcare and family-forming support with Carrot. Mental Health Support in Modern Health. Group life insurance. MacBooks with all necessary accessories For this role, the estimated base salary range is between 31,900 - 36,250 PLN gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a Account Executive to join one of our clients' team. To further drive this growth, we are looking for a Full-Cycle Account Executive (m/f/d) who will be responsible for the entire sales process – from initial contact and consultation to successful closing – and take our sales to the next level 🚀 You already have initial experience as an Account Executive - ideally in the B2B SaaS environment. Ideally, you have already worked with HubSpot – but more important to us is that you use comparable CRM systems securely and maintain them properly. You are characterized by a structured and organized way of working. You speak German at a native speaker level and English at a B2 level. You are career-driven and motivated to take on responsibility. You are a real team player. Tasks You are responsible for the entire sales process – from the initial contact to the closing. You conduct compelling product demos and consultations with qualified and self-generated leads. You actively build your pipeline , develop it strategically, and keep it clean in HubSpot. You work closely with Customer Success and Product , and directly incorporate customer feedback into positioning and product development. You know your sales KPIs , control your funnel based on data, and continuously optimize your conversion output. You actively contribute to the further development of our sales playbooks and processes. Benefits Clear development roadmap Employee benefits such as Wellhub or Deutschland-Ticket Yearly Company Offsite Weekly Team Breakfast & Bi-Weekly Lunch Regular team events Cool office in Berlin with ping pong & darts An ambitious, friendly, and honest team

Location: Paraguay (Remote) Workplace: Remote ABOUT LILT LILT works with native speakers and subject-matter experts around the world on AI training projects, such as recording, transcription, writing and review. Our contributors help make AI work better in their language. ABOUT THIS PROJECT We’re looking for native speakers of Guarani to help create audio data for speech technology in their language. WHAT YOU’LL DO You can sign up for one or both kinds of work: Record audio. Speak naturally on everyday topics, on your own or in a conversation with another speaker. There’s no script. Recordings are 2 to 15 minutes each. Transcribe audio. Listen to recordings and write out exactly what was said. HOW IT WORKS Fill out this short sign-up form. It takes just a few questions and works on your phone. We’ll email you a short, unpaid sample test for recording, transcription or both. Once you pass, you’ll complete onboarding: a contractor agreement, a background check and payment setup. You’ll then get access to our platform and can start working. PAY You’re paid for each hour of approved audio you record or transcribe. Rates depend on your language and the type of work, and we’ll share yours before you start. If someone from LILT is helping you sign up, they can answer any questions as you go. QUALIFICATIONS - Native fluency in the target language - English Comprehension - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.