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Location: Belgrade, Serbia Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as B2B You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Belgrade, Serbia Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as AI Research Lab You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Riga, Latvia Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Cybersecurity You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Budapest, Hungary Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Agentic AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Lisbon, Portugal Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Tallinn, Estonia Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Cybersecurity You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Berlin, Germany Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Applied AI You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Help train and evaluate AI agents on expert-level fluid simulation tasks. You'll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results.

Location: San Francisco, CA; Washington, DC 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’re hiring a strategic advisor to join the Strategic Advisory team within Policy Advocacy, part of Anthropic’s Public Policy team. This is an individual contributor role at the strategic heart of Anthropic’s policy function — designed for an operator with 8–10+ years of experience who wants to drive clarity on Anthropic’s most consequential policy positions, partner with cross-functional peers, and be deployed as a strategic resource across fast-moving policy work. Policy Advocacy turns Anthropic’s policy priorities into evidence-backed positions, research, campaigns, and partnerships — distinct from government relations and communications, but essential to enabling both. This role is designed to complement our existing Strategic Advisory capacity, which owns the documentation, translation, and deployment of Anthropic’s positions so that external-facing teams can use them. You’ll bring experience and judgment into the room, hold responsibility for a portfolio of strategically important positions, and partner as a peer with leaders across the policy, legal, comms, and product policy functions, working with colleagues on teams across the company on positions and messaging. The ideal candidate is effective across multiple stakeholders even through substantive disagreement, prioritizes closure over deliberation, and organized and process-focused but able to operate in ambiguity. Successful candidates will have experience building structure where none exists, including under unclear ownership and shifting priorities. We prize doers willing to do the work directly, no matter how small or large. Strategic and systems thinkers that understand how individual positions and engagements fit together across the broader policy landscape are encouraged to apply. Examples of work in this role might include producing a position package end-to-end: pressure-testing the position with internal SMEs (policy, legal, research), identifying and closing gaps, and producing the full set of deployable materials. Translating new technical research or policy analysis into policy-ready materials on short timelines for use by federal, state, and international affairs teams. Building and running a structured process to resolve a contested position and documenting the outcome. Leading the cross-functional policy strategy for a major launch, including alignment across policy, legal, comms, and research on external narrative, broader policy implications, and rapid-response plans. Standing up a cross-functional working group on an emerging platform or corporate issue, including scoping the problem, driving alignment across teams, producing a written strategy, and standing up the workstream. Distilling Anthropic’s approach to a complex or evolving issue into a deployable narrative, and integrating the output into the canon. This role offers a rare opportunity to shape Anthropic’s policy voice across the most consequential debates in AI governance, while operating with the pace, pragmatism, and service orientation of a top-tier public affairs function. Key responsibilities Own a portfolio of Anthropic’s highest-priority policy positions, including position papers, FAQs, talking points, and fact sheets — managing versions, intended audiences, strategic relevance, and internal access. Drive organizational consensus on contested technical policy positions — working with subject matter experts across federal affairs, state affairs, international affairs, national security, legal, comms, and research — moderating dissent, calling the question, and closing the loop on documented positions. Develop and test message framings with internal and external audiences, iterating quickly and bringing rigor to what lands and why. Translate technical research, model capability, and scientific content into policy-ready language for federal, state, and international policymakers, their staff, and legislators. Serve federal, state, and international affairs teams as an internal senior advisor — improving their processes, standing up shared material libraries, and building the collateral and strategies they need to be effective in their markets. Drive complex, cross-functional policy projects to resolution when no single team is set up to own them end to end — including model launch policy strategy, narrative coordination on contested issues, and working groups on emerging topics. Stand up rapid-response playbooks when time-sensitive events require Anthropic to move in days rather than weeks, coordinating across legal, research, and external affairs. Partner with policy communications to ensure message and voice consistency across Anthropic’s policy surface area. Anticipate emerging issues, proactively work with internal experts to develop Anthropic’s perspective, and make sure we have the materials we need before external pressure emerges. Minimum qualifications Have direct experience with message development and testing for policy, advocacy, or communications audiences. Have experience translating technical material (scientific, engineering, or deeply technical policy) for non-expert decision-makers. Are comfortable operating at breadth across multiple policy issue areas simultaneously, and can develop fluency in new ones quickly. Interest in and some experience with technology policy is important; deep AI policy expertise is a plus, not a prerequisite. Have experience building or running rapid-response processes, crisis playbooks, or signature programs in fast-moving environments. Can serve internal clients — federal, state, and international affairs colleagues — without needing to own external relationships yourself. You find that service posture energizing, not limiting. Preferred qualifications Have 8–10+ years of professional experience in corporate public affairs, management consulting, government relations, policy or political campaigns, think tanks, or similar fast-paced, cross-functional environments. Experience in technology, financial services, energy, pharma, or other heavily regulated industries. Demonstrated ability to anticipate emerging issues and develop organizational perspectives proactively. Experience designing and running a signature program or flagship campaign end-to-end. Experience translating topics to policy-relevant audiences through communications, visual storytelling, marketing, or advocacy. 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: $265,000 — $295,000 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: Philippines About Huzzle At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with fast-growing startups, digital agencies, SaaS businesses, and tech-enabled companies across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we connect you directly with innovative companies, where you become an integral part of their team. Job Type Full-time Job Summary We are seeking a high- energy , proactive Customer Success Specialist to join a fast-growing US-based SaaS company serving the restoration industry. This is not a passive support role—you will be the engine that drives account activation and prevents churn for a platform that helps businesses get paid faster. If you are a disciplined communicator who thrives on high-volume outreach and takes immediate action the moment a lead signs up, this is the perfect opportunity to build your career in a remote, growth-stage environment. Key Responsibilities Respond to new trial signups within 5 minutes to ensure immediate engagement. Manage a high-volume outbound schedule, performing 30+ calls daily to trial users and inactive accounts. Own the onboarding funnel by scheduling at least 4 training sessions and completing 2+ live sessions daily. Guide new users through platform setup within their first 72 hours to ensure long-term retention. Proactively monitor account health to identify and intervene with at-risk users before they churn. Maintain perfect CRM hygiene by logging every interaction and update within HubSpot. Actively drive accounts toward activation and expansion while collecting daily customer testimonials. Requirements Proven experience in a high-volume outbound calling environment (30+ calls/day). Previous experience in Customer Success, SaaS onboarding, or Sales Development (SDR). A "speed-to-action" mindset with the ability to work independently without micromanagement. Exceptional discipline in CRM management (HubSpot experience is a significant advantage). Ability to troubleshoot technical software issues and guide non-technical users through setup. Availability to work during US Pacific Standard Time (PST) hours. 3+ years of experience in a B2B SaaS environment. Demonstrated track record of managing and converting trial users to paid accounts. Familiarity with the restoration industry or franchise models (e.g., SERVPRO). Benefits 💰 Competitive compensation with room for growth 🎯 Performance-based bonuses linked to client retention, account growth, and referrals 🚀 Join a fast-growing company focused on delivering measurable results and exceptional client experiences 📚Continuous development through professional mentorship

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. Role Overview EnerMech is seeking an experienced EBS Manager - Project Delivery who will be responsible for leading the end-to-end delivery of strategic business transformation initiatives across the organization. This role combines project management and business analysis expertise to ensure business requirements are clearly understood, translated into effective solutions, and delivered successfully within agreed timelines, scope, budget, and quality standards. Working across multiple functions and regions, the role partners with stakeholders from IT, HR, Finance, Procurement, Supply Chain, Operations, and external vendors to drive complex change programs that support organizational goals. The successful candidate will act as a trusted advisor, challenging and refining requirements to maximize business value, promote standardization, and reduce unnecessary complexity. The role also ensures that all solutions align with enterprise architecture, security, compliance, data governance, and integration standards while supporting long-term scalability and operational sustainability. In addition, the position plays a key role in change management, stakeholder engagement, user adoption, testing coordination, and benefits realization, contributing to the continuous improvement of project delivery and business analysis practices across the business. Responsibilities Lead business analysis activities, ensuring business requirements are clearly defined, validated, prioritized, and traceable from business objectives through solution delivery and benefits realization. Deliver end‑to‑end business transformation projects, from initiation through implementation and handover to operations, ensuring outcomes are achieved on time, within scope, budget, and quality expectations. Plan and govern project delivery, including development and maintenance of project plans, schedules, budgets, resource models, and delivery milestones. Manage risks, issues, dependencies, and change, proactively identifying delivery impacts and implementing mitigation actions to protect outcomes. Partner with business stakeholders, acting as a trusted advisor to translate business needs into pragmatic, scalable, and Standardised solutions. Oversee as-is and to-be process design, identifying opportunities for simplification, optimization, automation, and global standardization. Manage third‑party vendors and system integrators, ensuring contractual commitments, delivery quality, and value for money are achieved. Ensure alignment with enterprise standards, including architecture, security, data, integration, and regulatory or compliance requirements. Coordinate testing and business readiness, including UAT, cutover planning, data readiness, and stakeholder preparation for go‑live and adoption. Provide transparent governance and reporting, delivering clear, executive‑level updates on progress, risks, financials, and realized business value, while contributing to continuous improvement of delivery and business analysis practices. Requirements Bachelor’s degree in Business, Information Systems, Computer Science, Engineering, or a related discipline (or equivalent experience) Project Management Certification: PMP or equivalent Proven experience delivering end‑to‑end enterprise business systems projects in a complex, multi‑stakeholder, global environment Demonstrated experience combining project delivery and business analysis, including requirements definition and solution validation Experience leading cross‑functional teams and working with senior business and IT stakeholders Track record of managing system integrators and third‑party vendors, including delivery assurance Experience delivering change involving process redesign, system implementation, testing, and go‑live readiness Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Netherlands; Spain; Ireland; Greece About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Language: Fluent Dutch and English Job Summary We are looking for a high-energy, Dutch-speaking Sales Development Representative (SDR) who thrives in a fast-paced, high-volume outbound sales environment. This role is ideal for someone who loves being on the phone, is confident handling objections, and knows how to turn cold conversations into qualified sales opportunities. You'll be responsible for making a high volume of outbound calls, engaging Dutch-speaking prospects, qualifying leads, and booking meetings for the sales team. Fluent Dutch is a non-negotiable requirement. We're looking for someone who can confidently conduct professional sales conversations in Dutch. Key Responsibilities Make a high volume of outbound cold calls daily to Dutch-speaking prospects. Proactively identify, engage, and qualify potential customers. Book qualified meetings and appointments for the sales team. Deliver compelling sales pitches and confidently handle objections. Follow up with prospects through phone, email, and LinkedIn. Maintain accurate records of calls, conversations, and lead activity in the CRM. Consistently achieve daily and weekly KPIs for call volume, conversations, and meetings booked. Collaborate with the sales team to improve outreach strategies and conversion rates. Requirements Fluent Dutch (C1/C2 or native-level proficiency), mandatory. Strong English communication skills. Previous experience in outbound sales, cold calling, appointment setting, or lead generation. Proven ability to manage high daily call volumes while maintaining conversation quality. Confident, persuasive communicator with excellent objection-handling skills. Comfortable working in a target-driven environment with ambitious sales KPIs. Experience using CRM systems such as HubSpot, Salesforce, or similar. Self-motivated, resilient, and comfortable handling rejection. Reliable internet connection and a professional remote working setup. Nice to Have Previous B2B sales or SaaS experience. Experience selling into Dutch or Belgian markets. Familiarity with sales engagement tools and outbound prospecting platforms. Benefits 💰 Competitive compensation based on experience and qualifications. 🌍 100% remote opportunity with international companies. 🚀 Work directly with ambitious, fast-growing businesses. 🤝 Supportive onboarding and professional development. 💻 Exposure to modern sales tools, technologies, and international markets.

Location: Woburn, United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Salary: $45,000 base + uncapped commission. Most reps earn $55K-$70K in year one. Role Type: Full-time Location: Woburn, MA. On-site for your first 90 days, then hybrid About the Company Our client is one of the leading outsourced sales development companies in the US. They build and run phone-first sales teams for B2B tech companies, from fast-growing startups to names like Honeywell, PTC, SurveyMonkey and OpenText. Inc. 5000 fastest-growing private company five years in a row Employee-owned, so the team shares in the company’s success 170+ people across offices in Woburn, MA and Fort Lauderdale, FL Promote-from-within culture, with promotion reviews at 90 days and 6 months A great place to start a career in tech sales and grow fast. Job Summary Are you currently working in customer service, retail, hospitality, or another customer-facing role and looking for your next career opportunity? We're hiring motivated, energetic, and confident communicators to join a growing team in Woburn, Massachusetts, as Entry-Level Sales Development Representatives (SDRs). This opportunity is ideal for customer service professionals who enjoy speaking with people, thrive in fast-paced environments, and want to transition into a rewarding career in B2B technology sales. No previous sales experience or college degree is required. You'll receive comprehensive training to develop the skills needed to succeed. If you're ambitious, coachable, and ready to take your customer service experience to the next level, we'd love to hear from you. Key Responsibilities Engage with potential business customers through outbound phone calls, emails, and other communication channels. Introduce technology products and services to prospective clients. Build rapport with decision-makers and identify potential business opportunities. Ask relevant questions to understand customer needs and determine potential fit. Schedule qualified meetings for senior sales representatives. Maintain accurate records of customer interactions and follow-ups in CRM systems. Work toward individual and team performance targets. Participate in ongoing training, coaching, and professional development. Requirements Customer-facing experience: Previous experience in customer service, or another customer-facing environment is required. Excellent communication skills: Clear, confident, and professional spoken English, with strong phone communication skills. High energy and ambition: A motivated, proactive personality with a genuine desire to learn and succeed. Coachability: Willingness to receive feedback, develop new skills, and continuously improve. Resilience: A positive attitude and the ability to handle challenges and rejection professionally. Strong interpersonal skills: Comfortable speaking with new people, building relationships, and maintaining engaging conversations. Goal-oriented mindset: Motivated by targets, personal development, and measurable achievements. Location: Must live within approximately one hour of Woburn, Massachusetts, and be able to work on-site. Nice to Have Customer service, call center, or telesales environments. Retail or hospitality roles involving regular customer interaction. B2C sales, including door-to-door, solar, insurance, or other commission-based sales. Financial services, financial advisory, or insurance. Previous sales internships or exposure to business development. Familiarity with CRM systems or customer management software. Benefits 🚀 Opportunity to work with a growing, ambitious sales team. 🤝 Structured onboarding, hands-on support, and team collaboration. 💼 Long-term career opportunities with a high-growth business. 🏢 Collaborative, on-site working environment.

Location: Montreal DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for a passionate Software Developer to join our team. You will develop critical software that our traders, researchers and engineering teams use to implement and analyze our algorithmic trading strategies. As a member of our team, you will be surrounded by cutting-edge technology and senior technologists providing you with the best possible environment to succeed. How you will make an impact: Building scalable and performant software using software engineering best practices Analyzing requirements from traders and analysts for algorithmic trading Facilitating discussions on code implementation, testing, software architecture best practices Driving projects and leading new initiatives Actively engaging with others on the development team to resolve challenging design and coding issues What DRW Montreal has to offer you: Mentorship with experienced software developers, database administrators, and technical project managers Continuous learning through paid postgraduate degrees, Dev Lightning talks, online learning support and 1 on 1 language tutoring with Berlitz 40 hours of paid volunteer work at the organization of your choice Bi-weekly social activities, monthly wellness plan, on-site weekly massages, and games room Enjoy daily catered meals (breakfast and lunch) with unlimited snacks and beverages Competitive salary, matching RRSP, paid company phone, laptop, and work from home set-up What you bring to the team: A Bachelor’s or a Master’s degree in Computer Science, Software Engineering or equivalent 3 to 7 years of experience building software systems Strong understanding of software engineering principles and best practices Self-directed, proactive and able to drive work forward independently. Good knowledge and experience in at least 1 of the following: JavaScript/TypeScript, NodeJs, React, Ruby and Python. Experience in more than one is an asset. Strong verbal and written communication skills Dedicated team player and a passionate problem solver with strong interpersonal skills Experience with any of these technologies is an asset: Redis, RabbitMQ, GraphQL, MongoDB, Docker, WebSocket, AMQP, TCP, HTTP Experience with relational databases is an asset (PostgreSQL, MySQL, MS SQL Server, Oracle) Find out more about all of our perks & benefits at https://drw.com/work-at-drw/montreal-benefits. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-KS1

We’re looking for a Legal Counsel, Employment to lead employment, labour, and health and safety legal matters at Verda as we scale. * Act as the primary legal advisor on employment and labour law matters across all Verda jurisdictions, including Finland, US, UK, Germany, and other operating countries.

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

Задачи: — Участие в разработке мобильных приложений под Android под руководством наставника. — Написание чистого, поддерживаемого кода на Java и Kotlin. — Разработка UI с использованием современных инструментов (Jetpack Compose). — Участие в разработке функционала для связи с устройствами по Bluetooth Low Energy (BLE). Требования: — Практический опыт работы от 4-х лет. — Опыт профессионального программирования на языке Java (около 10% кода в проекте). — Опыт профессионального программирования на языке Kotlin (около 90% кода в проекте). — Владение на профессиональном уровне Android SDK. — Знание и понимание Android Jetpack, Android X, Jetpack Compose. — Знание и умение применять архитектуры приложений MVP, MVVM, MVI, UDF. — Понимание паттернов проектирования (GOF). — Умение писать код по принципам SOLID. — Опыт работы с Dagger2 и многомодульностью в проекте. — Опыт работы с RXJava2(3). — Опыт работы и понимание Kotlin coroutines. — Знание классических алгоритмов и структур данных. — Знание и опыт работы с Unit-тестами, в частности JUnit4(5) и mockk (mockito, powermock). — Будет плюсом опыт работы с UI тестами (kaspresso). — Опыт работы с дизайн-макетами из Figma, Pixso и взаимодействие с дизайнерами. — Опыт работы и понимание на базовом уровне Gradle, CI (Jenkins). — Знание и понимание систем контроля версий (Git), умение работать с GitFlow. — Владение инструментами Atlassian на высоком уровне (Confluence, Jira, Bitbucket). Условия: — Сотрудничество по формату аутстаф (ИП). — Уровень вознаграждения 200 тыс. рублей на руки (+ компенсация налогов). — График работы 5/2, гибридный формат работы. — Первый месяц офисный формат работы (м. Кутузовская), далее гибрид. — При необходимости выдается оборудование.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. We're seeking exceptional researchers with deep expertise in one or more of these areas. In this role, you'll work at the intersection of frontier AI and your field, developing rigorous methods to measure and improve Claude's performance on complex engineering and scientific tasks. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and to test Claude's designs against real-world feedback. Key responsibilities Design and implement evaluation methodologies for assessing AI model capabilities relevant to engineering and applied science research and applications Design realistic tasks and training environments, and curate data from your field Develop and validate simulations and computational tools for your field, and calibrate them against real-world data Work with industry partners, manufacturers, and labs to build and test what Claude invents, designs, and engineers, and bring that real-world feedback into evaluation and training Think through how Claude's engineering capabilities can permeate the real world: where they can have the most impact across industry and research, and what it takes to get them adopted Advise the team on which problems, tools, and workflows matter most in your field Collaborate with domain experts and partners to establish benchmarks and gather high-quality data for training Translate between engineering domain knowledge and machine learning objectives Minimum qualifications Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, structural, industrial, or manufacturing engineering; applied physics; computational simulation Experience with AI or machine learning, whether evaluating and training AI systems or applying these tools in your field Track record of taking work from concept through to a working result, such as a product, process, device, experiment, or tool Hands-on proficiency with the computational design, analysis, or simulation tools used in your field Basic programming proficiency, for example in Python Ability to navigate ambiguity and develop solutions in a rapidly evolving research environment Ability to work independently while collaborating closely with cross-functional teams, and to explain your field clearly to people outside it Commitment to using AI to accelerate engineering and scientific progress while maintaining high ethical standards Preferred qualifications 5+ years of hands-on R&D or industry experience in an engineering or applied science discipline Ph.D. in an engineering or applied science field, or equivalent industry experience Industry experience in product design and manufacturing, or in developing engineering or scientific simulation software Breadth across more than one discipline, or across several stages of the path from design to production Familiarity with modern AI model training methods Track record of building high-fidelity solvers or simulation engines that were validated against real-world data and used in practice Experience working with manufacturers, vendors, contract research organizations, or academic labs Experience managing data pipelines and working with large-scale technical datasets Publications, patents, or contributions to open-source scientific or engineering software The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 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.