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Location: New York, United States Workplace: hybrid About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business — so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. Role As Sales Manager, North America, you will lead and develop a team of AEs focused on mid-market and enterprise clients across the region. This is a player-coach role: the majority of your time will be invested in coaching, managing, and developing your team to deliver consistent, high-quality pipeline and revenue. You will also carry a personal quota, directly managing and closing a select portfolio of strategic opportunities. This is a high-impact leadership role for a commercially sharp, people-first leader who takes pride in building great teams and a sales culture of excellence. You will be expected to set the standard for what great looks like, in discovery, in execution, and in client engagement, and to bring out the best in the people around you. You will be equipped with best-in-class tools, a proven sales playbook, and full exposure to Sokin’s cutting edge suite of solutions including global payments and receivables, FX, and treasury management capabilities. Key Responsibilities Team Leadership and Coaching Own the day-to-day management of the NA AE team, running structured 1:1s, pipeline reviews, and team standups with a clear coaching agenda focused on skills development and performance accountability. Identify individual capability gaps across the team and build tailored development plans, covering outbound prospecting, structured qualification, discovery, objection handling, and commercial closing. Onboard new AEs effectively, accelerating ramp time through structured training, field shadowing, and early deal involvement. Create and sustain a sales culture of excellence and accountability where high standards are the norm, learning is continuous, and wins are celebrated. Partner with Revenue Enablement to design and deliver training programs that systematically raise performance across the team. Sales Execution Carry a personal quota and actively manage a pipeline of strategic and enterprise prospects across the North America market. Lead complex, multi-stakeholder commercial engagements where senior presence or deep solution knowledge accelerates the close. Model best-practice selling behaviours in the field, including discovery-led qualification, value-based proposals, and structured pipeline management. Accurately forecast your own pipeline and provide roll-up visibility on team pipeline to the Head of Revenue, NA. Pipeline and Commercial Operations Drive CRM discipline across the team, ensuring pipeline data is accurate, activity is logged, and deal stages reflect commercial reality. Track and analyse individual and team metrics including outbound activity, qualification conversion rates, average deal size, and sales cycle times, using data to surface coaching opportunities and improve team effectiveness. Support the planning and execution of outbound campaigns and go-to-market initiatives across assigned sectors, regions, or strategic verticals. Collaborate with Marketing, Compliance, Product, and Client Onboarding to drive seamless opportunity conversion and an exceptional prospect experience. Contribute to quarterly business reviews with clear pipeline analysis, performance narrative, and forward-looking regional plans. Culture and Talent Recruit exceptional AE talent when headcount opens, owning the interview process and making high-quality, values-aligned hiring decisions. Foster an inclusive, high-trust environment where the team challenges each other, shares learnings openly, and continuously raises the commercial bar. Success in the Role In your first 12 months, success in this role will include: Your team is consistently hitting or exceeding quota, with clear individual performance trajectories and development plans in place for every AE. New AEs are ramping to full productivity within 60 days, supported by a structured onboarding program you have built or materially improved. Pipeline quality and CRM discipline across the team are materially stronger, enabling reliable and accurate forecasting at the regional level. You have personally closed a meaningful portfolio of strategic deals, demonstrating the commercial standard you hold for the team. You are recognized as a trusted leader by your AEs and a reliable, high-accountability partner by the broader Revenue leadership team. Requirements 6+ years of proven B2B sales experience, with a strong track record of managing complex, high-value enterprise deals and long sales cycles across senior stakeholder groups. 2+ years in a sales management, team lead, or player-coach capacity, with demonstrated ability to develop and improve individual and team performance. Experience in payments, fintech, financial services, or a related sector is strongly preferred. A natural coach and people developer who takes genuine pride in seeing their team succeed and grow. Strong ability to conduct high-quality discovery and structured qualification, uncovering commercial priorities, operational pain points, and treasury requirements to position solutions effectively. Excellent written and verbal communication skills, with the ability to engage finance leaders and senior decision-makers (CFO, FD, Treasurer, Head of Finance) with clarity and commercial credibility. Commercially sharp, with strong business acumen and the ability to prioritize opportunities based on value, urgency, and strategic fit. Highly organized and data-driven, with strong CRM discipline and a structured approach to pipeline management, team forecasting, and performance reporting. High agency and a bias for action — you bring solutions, build momentum, and operate effectively in a fast-moving, scaling environment. Tech-savvy and confident using modern sales tools and CRM systems. Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. We are an equal opportunities employer committed to creating an inclusive work environment. As a growing global startup, we value agility and flexibility in our working culture. If you require any accommodations during the recruitment process, please let us know.

Location: Ukraine; Spain; Poland; Portugal; Romania About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. Now we are looking for a Senior ML Operations Engineer to join us as part of our team. About the role As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team composition 1 Engineering Manager, 4 Senior ML Ops Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation. Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment. Provide mentorship, technical guidance, and perform code reviews for team members. Design and deliver on projects end-to-end with little to no guidance. Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC. Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. We’re looking for you if you have Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience). 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered). 4+ years of experience designing and building distributed software systems and architectures. 3+ years of hands-on experience deploying and operating Machine Learning services in production. Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance. Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker. Demonstrated experience with SQL and NoSQL database design and implementation. Ability to decompose complex problems into iterative, well-defined solutions. Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently. Experience working across multiple development teams is a plus. Bonus points Experience with cloud platforms (AWS, Google Cloud Platform, or Azure). Proficiency in GitOps practices and CI/CD pipeline development and management. Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems. LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock). LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar). Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector). RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance. Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka. ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow. API development with FastAPI or similar frameworks. Java programming experience is a plus. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Live Coding (up to 30 min) Tech Interview: ML Fundamentals, Software Engineering (up to 60 min) ML System Design Interview (up to 45 min) Interview with Engineering Manager (60 min)

Location: Canada Wide - Excluding Quebec Workplace: Remote Safe Software is seeking a Technical Support Team Lead to join our growing Customer Experience team. In this role, you’ll lead a group of technical specialists who support customers using FME Flow. Your focus will be on coaching the team, helping them grow, and ensuring customers receive consistent, high-quality support. You’ll also collaborate across departments to improve customer experience, advocate for product enhancements, and drive knowledge sharing across the FME community. ABOUT THE TEAM The Customer Support team works with organizations around the world to ensure success with the FME platform. Within this team, the FME Flow group provides timely and expert technical support. We collaborate with Sales, Product, and Development teams to advocate for improvements and enhance the customer experience. We’re a collaborative, mission-driven team that values empathy, knowledge sharing, and continuous learning. WHAT YOU’LL BE DOING Team Leading (Primary Focus): - Lead the team to successfully meet support objectives. - Set team objectives, conduct regular 1:1 check-ins, and support goal-setting through ongoing feedback and coaching. - Act as an escalation point for complex customer issues and support the team in resolving them. - Collaborate with other teams where needed to ensure customers get the best support possible. - Review knowledge base content from the team and provide feedback and direction. - Identify and implement process improvements to enhance customer support. - Maintain active communication with the Director of Customer Support and the VP of Customer Experience. - Identify the skills that are needed to improve the team, including the training of existing staff and hiring new members for the team. Product Support: - Work within support tickets to provide product support to customers. - Engage with the Product Managers to provide expert knowledge on customer feedback and requirements to relevant teams. - Collaborate with sales teams to understand customer needs and provide technical support during the sales process. - Foster technical relationships with the development teams to help them understand pain points within the product. - Work with the Community team to ensure that technical questions are answered promptly. Events: - Contribute to customer-facing events such as the Partner Summit and User Conference, including providing technical support and on-site engagement as needed. Knowledge: - Work alongside the team to share solved problems with the user community through our blog, knowledge articles, or webinars. WHAT WE’RE LOOKING FOR Safers come from a variety of backgrounds with diverse skills and knowledge. That being said, those who are most successful in this role have experience with the following: - Bachelor’s degree in a relevant field or equivalent work experience in a technical customer-facing role. - Significant experience supporting or administering complex enterprise software environments. - 3-5+ years working with technical products in a customer support capacity. - 2+ years experience in a leadership or mentorship role (or equivalent experience). - Strong creative problem modelling and solving skills. - Self-motivated and able to make decisions on the spot. - Excellent communication and interpersonal skills. - A demonstrated ability to learn and adapt quickly. - Ability to work well independently and with others. - Experience with support tools such as Zendesk, Jira, Confluence, or similar platforms. - Soft skills: Curious, empathetic, teamwork-oriented, clear communication, humble, proactive, passionate and innovative WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team!   ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: San Jose Workplace: hybrid The Customer Success Manager (CSM) is a pivotal role, demanding an individual with truly exceptional interpersonal and relational skills. The ideal candidate must possess a natural ability to foster win/win environments, ensuring positive and productive outcomes for all stakeholders, including the customer, the internal team, and the company. This role is fundamentally focused on driving an outstanding and comprehensive customer experience, moving beyond mere support to actively partnering with customers to ensure they not only adopt but fully realize their desired goals and maximum value from our products and services. Core Responsibilities and Expectations: The responsibilities of the Customer Success Manager are comprehensive, covering account management, strategic relationship building, product expertise, and proactive risk mitigation: Proactive Account Engagement and Relationship Management: Systematically engage with a carefully curated portfolio of assigned clients. Maintain a defined and regular communication cadence with each account to continuously monitor product adoption, usage, and overall service satisfaction. Serve as the client's primary point of contact and trusted advisor, owning the overall relationship from onboarding through renewal. Regularly conduct business reviews (QBRs) and success planning sessions to align our product capabilities with the customer's evolving strategic objectives. Driving Growth and Value Realization: Actively identify opportunities for organic growth within the assigned portfolio, including upselling relevant premium features or expanding product usage across different departments. Deeply understand the customer's business drivers and objectives to ensure they are fully achieving their desired outcomes and return on investment (ROI) with our solutions. Facilitate training sessions, workshops, and ongoing education to ensure high-level product competency and maximum feature utilization among key customer personnel. Client Retention and Risk Mitigation: Ensure the highest levels of retention and satisfaction for all assigned clients, viewing retention as the ultimate measure of success. Develop an early warning system to identify potential signs of churn or dissatisfaction (e.g., declining usage, unmet expectations, unresolved issues). Proactively and swiftly intervene to resolve concerns, develop effective mitigation strategies, and rebuild confidence and partnership when "churn flags" are raised. Act as the voice of the customer internally, relaying feedback on product needs, service gaps, and competitive landscape to relevant cross-functional teams (e.g., Product, Engineering, Sales). Customer Enablement and Support Coordination: Aid clients across the entire customer lifecycle, including providing detailed product training, answering complex questions, troubleshooting initial configuration issues, and coordinating advanced technical support when necessary. Document all customer interactions, success plans, and retention activities accurately within the Customer Relationship Management (CRM) and Customer Success Management (CSM) platforms. Create and maintain a library of customer-facing success materials, including best practice guides and use-case examples, to empower clients to be self-sufficient. Exceptional Communication and Interpersonal Skills: Ability to articulate complex solutions clearly and persuasively, both verbally and in writing. Active listening skills to truly understand customer needs, pain points, and strategic goals. Empathy and the ability to build immediate trust and rapport with C-level executives and end-users. Sales and Negotiation Acumen: A consultative, solution-oriented selling approach (not aggressive or transactional). Ability to identify and qualify expansion opportunities (upsell/cross-sell) by linking product value to customer business outcomes. Skill in managing complex negotiations, handling objections, and closing expansion deals.

Location: Buenos Aires; Remote - Latin America Workplace: Remote Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an entrepreneurial CSM to retain and grow a dedicated book of customers. WHY I'M HIRING At Whippy, we view Customer Success as a revenue engine, not a cost center, because if customers don't get value from a tool, they'll leave. Whippy has six incredible products today because we've always built alongside our customers - that's how we evolved from a simple texting platform to now powering calls, texts, email, Ai-agents, and complex messaging and business automations for over 1000+ businesses. We ship fast to meet our customers' needs. Most customers start with one use case, like a staffing firm using an AI voice agent to screen candidates. They stay and grow because they see real ROI, then expand use cases until Whippy becomes the infrastructure their business runs on. Your job is to drive that growth: make their first outcome happen during onboarding/implementation, uncover the next problem, and help them get even more value. Our best CSMs have taken our staffing customers from an initial $12k deal to $180k ARR because customers like Your Employment Solutions https://www.linkedin.com/company/your-employment-solutions/ are getting over $1M in ROI using Whippy to augment their teams and beat the competition.   You'll help us grow more customers by deeply understanding their desired outcomes, helping them achieve those outcomes, and providing an exceptional experience along the way.   This is one of those rare jobs with massive growth and learning opportunities: there's no bureaucracy here, and we're still early in building a world-class customer success team. You'll have a crucial role to play, and fresh ideas, feedback, and experimentation are always encouraged because we double down on wins and quickly pivot when ideas don't work out. You'll work with six other CSMs and report directly to me, and I'll provide the support, coaching, tools, and data to do the best work of your career here, plus the variable comp to get well rewarded when you deliver results.   I'm looking for a CSM that wants to grow into a renaissance CSM, someone technical, strategic, and commercial, all in one: Technical as in you enjoy mastering the product and finding the best solutions for our customers. Strategic as in you deeply understand your customers pain points and always have a plan to solve them. Commercial as in you have pricing awareness and understand the retention and expansion risks and opportunities in your book.   SOME THINGS YOU'LL DO - Own a book of business end to end, from onboarding through renewal and expansion, as the single point of contact and trusted advisor. - Own your gross and net revenue retention, and get rewarded for beating targets. - Run a proactive cadence on every account: prepared calls, clear agendas, mutual success plans, and follow-through. - Become a product and customer expert. Master Whippy’s products and know your customers' business well enough to build the workflows, AI agents, and automations that solve their problems. - Tie usage to business outcomes, and report value back in the metrics customers actually care about. - Turn wins into case studies, references, and testimonials that help sales win the next customer. - Spot expansion signals and hand warm leads to sales when usage outgrows the contract. - Tell customers the truth, steering them away from work that won't move their business and toward the work that will. - Advocate for the customer. Feed what you hear to product, sales, and engineering so we build the right things. - Experiment and iterate. If you have an idea to do something better, do it and document what you learn. OUR CUSTOMER SUCCESS VALUES This is a high-performance environment, and I'll coach & support you through it. You'll be challenged, coached, and you'll always know where you stand. CS is a team sport, so it's okay to ask for help, experiment, fail, and pivot. A few things that are true here: - Everyone is a builder. Our CSMs build in the product without engineering, and the best product ideas come from you, the person closest to the customer. We use AI to move fast, but we own our work, verify every fact, and don't ship slop. - We lead with expertise, not order-taking. We get curious about the why behind every request, and we say no when no is the right answer. - We work like owners, not clock-watchers. We care about outcomes, not hours. We take initiative, pick up the phone, and work obsessively on the problem in front of us. - CS is a revenue engine, not a cost center. We treat it as the growth engine of the company and pay for results. WHAT WE'RE LOOKING FOR - Communication above all. This is the number one predictor of success in this role. You overcommunicate by default with customers, your team, and me. You're clear in writing and on calls, you set expectations, and you never leave people guessing. - Curious, coachable, and low-ego. You're a fast learner who wants feedback, digs into the why behind every request, and gets better quickly. - Comfortable getting technical. You don't need to code, but you're the kind of person who enjoys taking a tool apart, figuring out how it works, and building something useful with it. - Strategic and commercial. You see usage and growth, not just tickets, and you're comfortable owning a number and an upgrade conversation. - Opinionated about customer experience. Good strategic advice needs well-formed views, so have them. - Self-directed. You take initiative, stay organized without being told, and run your own book without anyone managing your calendar. Calm under pressure. - Ideally 2+ years in a customer-facing role (CSM, account management) at a technical SaaS product. That's the preferred path, but if you have an unconventional work history and can articulate how that'll help you succeed in this role, I welcome you to apply - Fluent written and spoken English required. Able to work US Eastern hours (work starts at 8am) YOU'LL THRIVE HERE IF... - You're technical and love to build. - You're entrepreneurial. You treat your accounts like your own business and get energy from building from scratch. - You're a consultative problem solver. You dig into the why behind what a customer asks and recommend the right solution, even when it's not the one they came in asking for. - This sounds like fun to you: a customer wants to launch a complex, time-sensitive campaign across calls and texts, isn't sure how to structure it, and their team is stretched thin. You roll up your sleeves, map their goal to the product, and build it with them. - You thrive in a fast, evolving startup and you're excited to help build a customer success program from the ground up. ABOUT WHIPPY Whippy is a communication, automation, and AI agent platform. You reach customers across calls, texts, and email, at scale through personalized blasts and automated drips, with every message landing in one shared inbox. Replies get auto-assigned to a teammate, picked up by an AI agent, or carried forward by an automation. Once a conversation wraps, Whippy pushes the data you care about back into your systems in the exact format you need. It's true two-way dialogue on every channel that cuts the repetitive work and frees teams to focus on the human work that drives revenue, without adding headcount. We're industry agnostic, with our biggest wins so far in staffing, healthcare, and other in-person businesses going through digital transformations. We're bootstrapped, profitable, and growing fast, with over 1,000 businesses using Whippy worldwide. In staffing alone, we've helped firms cut screening costs by 95% and save over a million dollars a year. Whippy was founded in 2021 by CEO David Daneshgar and CTO Jack Kennedy. Jack is an engineering machine and a marathon runner. David started BloomNation in 2011 after winning $27,205 in a poker tournament, grew it into a platform generating billions in sales for florists, then left to build something bigger with Jack. Location Candidates based in Buenos Aires, Argentina are strongly preferred as we have a WeWork office in Vicente Lopez and are building toward an in-person team culture. Open to strong candidates anywhere in Latin America or U.S. EST hours required. Full English fluency required. Compensation Competitive compensation based on experience, including monthly performance bonuses, WeWork membership, and more. Hiring Process: 1. You submit your application and I'll review it. 2. A 45 minute call with me for us to get to know each other better. 3. You’ll receive a take-home assignment that will assess your technical and strategic skills. The assignment will be presented to me in an hour call. This is your chance to showcase your skills. 4. A 30 minute call with our CEO, David 5. A 30 minute call with our CTO, Jack

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — preferable to have someone near an office in NYC or San Francisco. This is a rare PM role with true vertical ownership across the full product lifecycle; from early-stage research and pre-training through to post-training and UX buildout through to GTM strategy and pricing - giving the right person a GM-like mandate to drive product decisions end-to-end in a way that's unique for a company of our scale. We’re looking for a passionate Product Manager to help us develop cutting-edge AI tools. This role is for someone who has a combination of strong technical or ML background and experience in product management. You have the ability to take the state-of-the-art AI systems our research team builds and turn them into impactful tools for our customers. You’ll deeply understand what users want, what’s possible to build, and what’s strategic for our business. You’ll be a bridge between our users and our internal teams so we ship products that have the most value for Runway’s creators. This role is a fundamental and critical part of the team for a market-defining company in its early stages. WHAT YOU’LL DO - Work alongside our research team to define new AI applications that solve customer needs and drive business value - Collaborate closely with engineering and design to productize research and continuously improve existing tools - Define and analyze metrics, talk with users weekly, and conduct A/B tests to discover use cases, validate pain points, and prioritize features WHAT YOU’LL NEED - 1+ years of direct experience with SQL, python, code generation tools, and version control best practices - 4+ years of product management experience - Familiarity with the current state-of-the-art ML capabilities and ML products - Experience working with fast-moving teams and building products from scratch - Passion for seeing research through from initial conception to ultimate application - Excellent written and verbal communication skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: South Africa; Pakistan; Egypt; Philippines; Jamaica 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, digital agencies, and tech platforms across SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing models, we place you directly with a client where you are hired in-house as a valued member of their team. Job Summary We are hiring a driven and results-oriented Account Executive for a high-growth company. This is an exciting opportunity for someone with strong closing skills, consultative sales experience, and a passion for building client relationships. If you have experience in SaaS sales, B2B sales, or working in a startup environment, this role will allow you to thrive in a fast-paced, high-impact setting. Key Responsibilities Own the full sales cycle from qualified lead to close Conduct discovery calls, product demos, and tailored presentations Build and manage a strong sales pipeline using CRM tools (e.g., HubSpot, Salesforce) Develop a deep understanding of customer pain points and position solutions effectively Collaborate with SDRs and marketing teams to convert inbound and outbound leads Negotiate contracts and close deals to meet or exceed monthly revenue targets Maintain accurate pipeline forecasting and reporting Requirements 3+ years of experience in B2B sales, preferably as an Account Executive or closer Strong track record of meeting or exceeding sales targets Experience selling SaaS solutions (preferred but not required) Startup or high-growth company experience is a strong advantage Excellent communication, negotiation, and presentation skills Familiarity with CRM systems (HubSpot, Salesforce, or similar) Ability to work independently in a remote, fast-paced environment 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: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.  You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming. At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles. What You Will Work On - Interview customers, analyze feedback and analytics data to identify user needs and pain points. - Propose new features and enhancements to solve user problems. - Win buy-in for your proposals across Product, Engineering, Data Science and Business teams. - Develop technical requirements. - Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients. - Daily collaboration with Engineering teams during development of new features. - Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation. What We Are Looking For - 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. - Experience using AI in day-to-day operations or in shipping AI-native products. - Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. - Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. - College degree in Business or Computer Science, Master’s preferred. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Culver City, CA, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.  You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming. At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles. Salary range: 125,000 - 170,000 USD What You Will Work On - Interview customers, analyze feedback and analytics data to identify user needs and pain points. - Propose new features and enhancements to solve user problems. - Win buy-in for your proposals across Product, Engineering, Data Science and Business teams. - Develop technical requirements. - Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients. - Daily collaboration with Engineering teams during development of new features. - Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation. What We Are Looking For - 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. - Experience using AI in day-to-day operations or in shipping AI-native products. - Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. - Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. - College degree in Business or Computer Science, Master’s preferred. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Seattle, WA, US Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.  You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming. At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles. Salary range: 125,000 - 170,000 USD What You Will Work On - Interview customers, analyze feedback and analytics data to identify user needs and pain points. - Propose new features and enhancements to solve user problems. - Win buy-in for your proposals across Product, Engineering, Data Science and Business teams. - Develop technical requirements. - Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients. - Daily collaboration with Engineering teams during development of new features. - Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation. What We Are Looking For - 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming. - Experience using AI in day-to-day operations or in shipping AI-native products. - Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel. - Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data. - College degree in Business or Computer Science, Master’s preferred. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Lanham, MD OR RN II Position Objective: The Registered Nurse in surgery provides expert, professional nursing care to patients during the perioperative course. The RN assesses, plans, implements, and evaluates the care of patients throughout surgical intervention. The RN in surgery will supervise Operating Room Technicians and ancillary personnel. The primary responsibility of the RN will be to perform the duties of a circulator in the Operating Room. The RN may also be competent in the role of a scrub nurse and perform the duties of that role, as staffing requires. Job Responsibilities: Clinical Decision-Making / Judgment The nurse applies expert clinical knowledge to ensure safe and effective perioperative care. Responsibilities include: Assessing, planning, implementing, and evaluating patient care throughout the surgical experience. Performing comprehensive preoperative assessments, including verification of the procedure, operative site, allergies, and risk factors. Applying the nursing process effectively with attention to patient safety, sterile technique, and evidence-based standards. Organizing and reprioritizing patient care based on clinical changes and environmental factors. Monitoring patients intraoperatively, including EKG, vital signs, and sedation levels, and responding promptly to emergent situations such as codes or airway compromise. Administering medications, managing pain, and performing unit-specific technical skills (e.g., moderate sedation, hemodynamic monitoring). Ensuring aseptic technique, accurate sponge and needle counts, and specimen handling per protocol. Preparing and positioning patients safely for procedures. Nurse–Patient Family Relationships The nurse fosters therapeutic relationships with patients and families to promote trust, comfort, and learning. Responsibilities include: Introducing self and role to the patient and family in the preoperative area, assuring the patient of nursing presence throughout the procedure. Demonstrating compassion, professionalism, and cultural sensitivity in all interactions. Assessing patient and family learning needs, readiness, and potential barriers to understanding. Developing and implementing individualized teaching plans that address physical, psychosocial, spiritual, and educational needs. Providing thorough and accurate handoff reports to PACU staff to ensure continuity of care. Clinical Scholarship The nurse maintains professional competence and contributes to quality initiatives to improve patient outcomes. Responsibilities include: Meeting all continuing education requirements and remaining current with evolving health care practices. Participating in unit and organizational quality improvement, clinical practice improvement, and risk management activities. Supporting evidence-based practice by adhering to organizational policies, standards, and benchmarks. Updating and maintaining accuracy of surgeon preference cards to enhance efficiency and safety. Clinical Leadership The nurse contributes to team effectiveness through guidance, mentorship, and shared decision-making. Responsibilities include: Supervising Operating Room Technicians and ancillary personnel to ensure quality care delivery. Delegating tasks appropriately and evaluating delegated activities for patient outcomes. Educating, orienting, and mentoring new staff members within the department. Actively participating in shared governance and contributing to departmental decision-making. Utilizing real-time electronic documentation to maintain accurate patient records. Communicating effectively with surgical, anesthesia, and leadership teams regarding patient care and equipment needs. Professional Practice & Teamwork Some responsibilities extend beyond direct patient care and fit best within a broader domain of professional practice. These include: Assisting anesthesia personnel with supply and medication readiness, induction, and procedural support. Supporting patient transport to and from the operating room. Assisting with securing dressings, transferring patients post-procedure, and supporting recovery. Participating in room turnover, cleaning, and restocking of instruments and supplies. Offering assistance to other operating rooms and departments as time and need allow. Keeping leadership informed about equipment repairs or supply needs. Representing the hospital and surgical services professionally both at work and within the community. Educational/Experience Requirements: • Graduate of an accredited school of nursing BSN • Adherence to the credentialing requirements of Luminis Health as stated in the nursing bylaws. • Minimum 2 years of operating room experience Required License/Certifications: • Current licensure as a registered nurse by the Maryland Board of Nursing • BLS, ACLS- American Heart Association Health Provider • Certification preferred Working Conditions, Equipment, Physical Demands: Employees in this position may be exposed to blood-borne pathogens. The role requires sustained concentration on moderate to fine details and the ability to lift and carry items up to 50 pounds. Candidates must be able to hear normal sounds, even with background noise, and maintain attention to schedules, tasks, and ongoing activities. The position involves prolonged periods of sitting, standing, and walking. Staff must be able to conceptualize and carry out tasks effectively and adhere to radiation safety precautions, with protective equipment provided. Work is primarily on the day shift with rotating on-call responsibilities, including nights, weekends, and holidays. The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $39 — $60 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: ROYAL CARIBBEAN GROUP, Worldwide ISMIRA Agency actively recruiting for position DENTIST for ROYAL CARIBBEAN GROUP! The Dentist is responsible for providing high-quality dental care to guests and crew onboard. The role includes diagnosis, treatment, and management of dental conditions, as well as responding to urgent and emergency dental cases. The Dentist works as part of the ship’s Medical Department and ensures all services are delivered in compliance with company policies and international maritime medical standards. BENEFITS: Work in Royal Caribbean Cruises Ltd. named one of the Top-Rated Workplaces Earn recognition and career advancement opportunities Travel around the World Experience working with more than 72 nationalities Permanent job with contract 6-8 months onboard followed by 60 days of vacation Save Money as you do not pay for food and accommodation on board Competitive salary (find out when apply) Visa fee will be reimbursed on board Medical insurance provided during contract RESPONSIBILITIES: Provide general and emergency dental care, including examinations, diagnosis, and treatment Perform dental procedures such as: fillings, extractions, temporary restorations, treatment of infections and pain management Respond to urgent dental cases for both guests and crew Maintain accurate patient records and documentation in medical systems Ensure all dental equipment is properly maintained, sterilized, and compliant with hygiene standards Follow infection control protocols and international medical guidelines Collaborate with shipboard medical team (Doctors and Nurses) for integrated patient care Manage dental supplies, materials, and inventory Educate patients on oral health and preventive care Ensure compliance with maritime regulations and company policies REQUIREMENTS: Minimum 21 years old Fluent English (spoken and written) Doctor of Dental Surgery (DDS) or equivalent recognized dental degree Valid dental license and current registration in home country Minimum 2–3 years of clinical experience as a practicing dentist Experience in emergency dentistry is an advantage Strong knowledge of: general dentistry procedures infection control and sterilization standards Ability to work in a multicultural and high-pressure environment Physically fit to meet shipboard requirements and participate in emergency duties Ability to communicate tactfully and effectively with guests, department heads and crewmembers to foresee and resolve problems and negotiate resolutions. NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇺🇦 🇪🇺 For 🇲🇩 🇬🇪 🇧🇾 🇷🇺 additional security / background check may be required Last updated: September 30, 2024 You can submit your Resume here by pushing APPLY TO POSITION button If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions

Location: ROYAL CARIBBEAN GROUP, Worldwide ISMIRA Agency actively recruiting for position Physiotherapist for ROYAL CARIBBEAN GROUP! The Physiotherapist provides professional therapeutic treatments and wellness services to guests onboard, focusing on pain relief, rehabilitation, and physical well-being. The role combines clinical knowledge with a hospitality approach, delivering high-quality care while promoting spa services and wellness programs. BENEFITS: Work in Royal Caribbean Cruises Ltd. named one of the Top-Rated Workplaces Earn recognition and career advancement opportunities Travel around the World Experience working with more than 72 nationalities Permanent job with contract 6-8 months onboard followed by 60 days of vacation Save Money as you do not pay for food and accommodation on board Competitive salary (find out when apply) Visa fee will be reimbursed on board Medical insurance provided during contract RESPONSIBILITIES: Perform physiotherapy treatments, including musculoskeletal assessments, rehabilitation exercises, manual therapy techniques Develop personalized treatment plans based on guest needs and conditions Provide consultations and recommend appropriate therapies and wellness programs Promote and sell spa and wellness services and products Maintain accurate client records and treatment documentation Ensure all treatments are delivered in accordance with health, safety, and hygiene standards Maintain treatment rooms, equipment, and supplies in excellent condition Educate guests on injury prevention, posture, and physical health Work closely with Spa team members to deliver a seamless guest experience Meet or exceed revenue targets and performance goals Participate in training sessions, meetings, and onboard promotional activities Follow all company policies and participate in safety drills REQUIREMENTS: Minimum 21 years old Degree or diploma in Physiotherapy (or equivalent qualification) Valid professional license or certification (as required by employer) Minimum 1–2 years of experience in physiotherapy or rehabilitation Experience in spa, wellness, or hospitality environment is an advantage Strong knowledge of anatomy and physiology, rehabilitation techniques, manual therapy methods Fluent English (spoken and written) Professional appearance and customer-focused attitude Ability to communicate tactfully and effectively with guests, department heads and crewmembers to foresee and resolve problems and negotiate resolutions. NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇺🇦 🇪🇺 For 🇲🇩 🇬🇪 🇧🇾 🇷🇺 additional security / background check may be required Last updated: September 30, 2024 You can submit your Resume here by pushing APPLY TO POSITION button If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions

Location: United Kingdom Workplace: Remote BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS MANEUVER MARKETING Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products. In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs. These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore. This is just the beginning of our journey, and you could be part of the next stage of our growth! YOUR NEXT ROLE We are looking for a highly skilled and ambitious Growth Strategist with at least 3 years of experience, managing at least $1M per month in ad spend to join our team. Today, the role of a Senior Media Buyer has evolved into a Growth Strategist - it’s no longer enough to work inside ad accounts - effective marketing requires critical thinking, conducting deep research, translating insights into ideas, and taking those ideas through implementation. Of course, you cannot do this alone. As a Growth Strategist at Maneuver, you will lead a product marketing team comprising a copywriter, creative strategist, designer, and media buyer to grow 2 flagship products. You’ll meet with fellow Growth Strategists to exchange ideas and best practices regularly. The product marketing team is supported by cross-functional teams: (a) Influencer & Partnerships, (b) Videos, (c) Marketplaces, (d) Measurement, (e) Retention, (f) Other Channels (e.g. AppLovin, Google), and (g) Tech - all of which are essential to grow a product to $100M+ a year profitably. As such, the best candidates have a track record of building something from scratch and demonstrate strong resourcefulness to overcome challenges and explore uncharted territory. WHAT YOU’LL DO STRATEGIC GROWTH PLANNING & OPPORTUNITY DISCOVERY You’ll own the development and iteration of Meta-led growth strategies grounded in first principles, real-world data, and deep DTC competitive intelligence. - Identify bottlenecks and opportunities through structured root-cause analysis across creative, media, offer, funnel, and product positioning. - Systematically uncover under-tapped or untapped opportunities by reverse-engineering winning DTC products and offers across Google Search, Amazon, Shopify, Meta, YouTube, and adjacent channels. - Analyze why products sell well (positioning, mechanism, claims, pricing, bundles, merchandising, distribution) and map those learnings to Maneuver’s products to unlock new markets, angles, and growth paths. - Prioritize high-leverage initiatives that balance short-term profitability with long-term strategic breakthroughs (new positioning, new audiences, new use cases). - Act with urgency to gather new signals, test hypotheses, and adapt strategy in-market. - Ruthlessly focus team energy on the highest-ROI initiatives that move core business metrics. DEEP MARKET & CUSTOMER RESEARCH You’ll lead a continuous discovery process that directly informs positioning, creative direction, funnel strategy, and media execution. - Conduct social listening across Facebook Groups, Reddit, TikTok, Pinterest, reviews, and UGC ecosystems to surface pains, unmet needs, objections, and language patterns. - Dive into product‑level inputs (clinical studies, ingredient claims, AOV/LTV trends, customer reviews, refunds, CX tickets) to sharpen value propositions and positioning. - Run deep competitive audits using tools such as Meta Ad Library, Atria, Transparency Center, VidTao, Google Search, and Amazon to identify messaging gaps, offer structures, and creative patterns. - Triangulate qualitative and quantitative insights into clear strategic actions that unlock growth. MEDIA STRATEGY Design and manage high-performance Meta ad systems that balance testing discipline with scalable performance. - Architect account structures, naming conventions, and testing frameworks for clean data capture and fast learning. - Execute and evolve bid strategies (Cost Cap, minROAS, Bid Cap, Highest Volume, Accelerated Bid Cap) based on signal quality, scale phase, and business context. - Build creative testing matrices and scale frameworks (ABO/CBO/ASC setups, budget ramps, funnel staging, whitelisting). - Ensure delivery systems and media execution align tightly with strategic hypotheses and growth objectives. CREATIVE STRATEGY & MESSAGING ARCHITECTURE You’ll provide a bird’s eye view of the creative and messaging ecosystem, ensuring alignment across teams and funnel stages. - Co-own the high‑level creative roadmap across TOF / MOF / BOF / Buyer stages with the copywriter and creative strategist - Map current messaging by awareness level and sophistication, identifying gaps, redundancies, and misalignment. - Assess whether ads, offers, and funnels are congruent with the intended messaging strategy at each stage. - Co‑own messaging architecture with the copywriter and creative strategist, helping segment and prioritize messaging buckets such as, but not limited to: - Authority / expert‑led - Founder / brand story - Mechanism‑led education - Objection handling - Social proof & validation - Use in‑market performance signals to continuously refine angles and creative direction. FUNNEL STRATEGY, CRO & PROJECT OWNERSHIP You’ll own funnel strategy, CRO direction, and end‑to‑end project execution. - Identify funnel bottlenecks and CRO opportunities in partnership with media buyers, creative strategists, and copywriters. - Define what should change and why (structure, messaging emphasis, flow, offer presentation), and translate that into clear briefs for copywriters and designers. - Collaborate with tech team members to implement changes once copy and mock‑ups are finalized. - Own projects end‑to‑end: scoping, prioritization, implementation, QA, launch, and post‑launch monitoring. - Ensure tight feedback loops post‑launch, with media buyers monitoring test performance and providing analysis to inform next iterations. COLLABORATION You’ll act as the connective tissue between strategy, media, creative, CRO, and cross‑functional partners. - Provide high‑signal strategic and CRO briefs aligned on performance goals and compliance considerations. - Partner closely with creative strategists, copywriters, and designers to ensure creative execution reinforces strategy. - Collaborate tightly with media buyers on test design, optimization feedback, and learning agendas. - Bring awareness to upstream partners (tech, supply chain, CX, retention) early to de‑risk initiatives and accelerate execution. - Build a high‑ownership culture with clear rituals, accountability, and feedback systems. DATA FLUENCY & PERFORMANCE OPTIMIZATION You’ll turn data into decisions and ensure learning compounds over time. - Design and interpret measurement frameworks (incrementality tests, attribution rules, holdouts) to guide investment decisions. - Read metric pairs (CTR vs CVR, ROAS vs MER, AOV vs CAC) to isolate constraints and form clear hypotheses. - Run regular performance cadences, documenting learnings and driving decisive pivots based on thresholds. - Think in numbers—tracking CAC, ROAS, AOV, LTV, and confidently making ROI‑based calls in real time. HOW YOU’LL SUCCEED Maneuver is an OKRs, KPIs & data-driven company, we are not Mad Men (Well, not all), but Math Men. As a result, a number of metrics will constitute the basis of your performance and success within this role and the company: - New customer sales and revenue, measuring Meta’s impact across all distribution channels - Advertising efficiency in terms of return on ad spend - New marketing capabilities built with significant positive ROI WHAT YOU BRING - At least 3 to 7 years of relevant experience working with DTC brands as a media buyer / Growth Strategist. - Strong “builder” desire - we built our brand to 9 figures in revenue profitably with ~30 full-time employees and this would not have happened without a strong work ethic and a mission-driven culture. We aim to build the brand to 10 figures by the end of the decade, and this requires a strong sense of commitment to build something together with like-minded people. - Strong analytical skills - ability to work with data, analyze metrics as a system, and understand the right marketing levers to improve results and performance. - Persuasion skills - Some experience in direct response copywriting and persuasion principles - including but not limited to Robert Cialdini, Dan Kennedy, Eugene Schwartz, Gary Halbert, etc. - Strong media buying skills - experience managing at least $30-100K a day in ad budget profitably with deep performance marketing skillsets. - Strong project management skills - ability to identify outcomes, develop plans, and implement initiatives to achieve the outcomes, while iterating along the way with real-time data and feedback to improve the plan and execution. The ability to stay on top of multiple initiatives at one time, without sacrificing quality, is valuable - Strong project coordination skills - ability to work with multiple partners, both inside and outside of the organization, while keeping projects running smoothly and according to timelines - Other important soft skills - resourcefulness, organization, independent, problem-solver - Other important hard skills - interest in creative performance and testing, persuasion, and general marketing skills WORK ARRANGEMENT - This is a full-time position with a remote work arrangement - We work Monday to Friday, 10am to 7pm SGT (GMT+8) and you will be required to coordinate with the team for at least 3 overlap hours a day in the SGT timezone - Preferably time zones are between GMT and GMT+2.

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.