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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: San Francisco; Palo Alto PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; Palo Alto PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: CIS; Baku; Serbia Workplace: remote ABOUT YOU   We are seeking a highly analytical and hands-on Senior FinOps Engineer to lead and mature our cloud and infrastructure financial management capabilities across GCP, AWS, and on-prem environments. As part of our talented infrastructure team, you will drive cost transparency, optimize cloud spend at scale, and partner with engineering, product, and finance teams to ensure that Xsolla’s global infrastructure is efficient, predictable, and aligned with business priorities.   The ideal candidate brings a deep technical understanding of modern cloud platforms (GCP / AWS) and experience working in Kubernetes-centric environments. You excel at turning complex usage patterns into actionable insights, influencing technical teams, and establishing a culture of cost accountability and data-driven decision-making. You balance tactical optimizations with long-term architectural improvements and know how to navigate both engineering conversations and executive discussions.   If you’re passionate about building scalable FinOps practices in a fast-growing, product-led company—and want to directly impact how we run and scale our global platform—we’d love to hear from you.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities: Lead the cloud cost optimization strategy across GCP, AWS, and on-prem infrastructure, ensuring efficiency, transparency, and financial predictability Analyze compute, storage, networking, and Kubernetes resource usage to identify actionable cost-saving opportunities without compromising performance or reliability Build and maintain forecasting models, dashboards, and automated reporting that provide real-time visibility into cost drivers and trends across teams and services Develop and implement tagging/labeling standards, budgeting processes, and governance policies to enable cross-organizational accountability Collaborate closely with Engineering, Finance, and Product to guide workload placement, architecture decisions, and scaling strategies Drive adoption of FinOps best practices including rightsizing, reservation planning, autoscaling optimizations, multi-cloud efficiency, and cost-effective storage strategies Create and refine internal tooling, automation, and pipelines for cost monitoring, anomaly detection, and usage attribution across Kubernetes clusters, virtual machines and physical servers, located both in datacenters and cloud providers Advocate for a cost-aware culture by training engineering teams, running FinOps reviews, and communicating insights to both technical and non-technical stakeholders Stay up to date with the latest cloud pricing models, vendor offerings, and industry trends to continuously evolve Xsolla’s FinOps maturity Qualifications: 5+ years of experience in cloud infrastructure, platform engineering, SRE, or DevOps roles with a strong focus on cost optimization Hands-on experience with GCP (priority) and AWS; strong understanding of cloud pricing models, resource types, and cost management tooling Deep knowledge of Kubernetes resource allocation, autoscaling, workload placement, and cost attribution in distributed environments Proficiency with cloud cost tools (GCP Billing exports, BigQuery, AWS CUR, 3rd party cost monitoring tools (Kubecost, CloudHealth), cost monitoring features in observability tools, custom dashboards, etc.) Strong analytical and data-engineering skills, able to build dashboards, SQL-based pipelines, and forecasting models Experience driving cross-functional initiatives and influencing engineering, product, and finance stakeholders Excellent communication skills with the ability to translate technical concepts into business-focused recommendations Fluent in English (written and verbal) Nice To Have: GCP and/or AWS cloud certifications (on Professional level, preferable) Understanding of FinOps Framework practices or FinOps Certified Practitioner certification Prior experience in gaming, high-growth tech, SaaS, or multi-cloud platform environments Familiarity with chargeback/showback models, internal cost allocation systems, or multi-tenant architectureExperience with Terraform, Helm, or GitOps workflows in cost-related automation Background in data analytics, cloud architecture, or financial modeling The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth Note   This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the FinOps Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Poland Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About The Role We are seeking established Senior Relationship Managers in various locations. We are looking for Relationship Managers with a portable book of business: professionals whose client relationships are strong enough to follow them. You will be expected to begin onboarding clients from your existing network within your first months, while also prospecting new markets and attracting new clients. The ideal candidates will have a strategic mindset, excellent communication skills, and the ability to manage complex client interactions across different time zones and cultures. The candidate must have a proven track record of business development and sales to HNWI, Private Wealth Management, Asset Managers, Fund Managers, Family Offices, and other private investors, with demonstrable client loyalty that translates into transferable AUM. Experience ideally spans to both segments: private clients (HNWI) and institutional B2B relationships Reporting Line - Regional Head of Sales Responsibilities Client Relationship Management: Act as a liaison to top-tier clients, including premium retail, high net worth individuals and institutional clients. Provide solutions to client inquiries while complying with all company policies, practices, and procedures. Conduct regular meetings with clients to review their needs, goals, and satisfaction levels. Business Development: Onboard and activate clients from your existing network, and identify opportunities to expand services and solutions to existing clients. Collaborate with the Regional Head, Sales, and Marketing teams to formulate strategies aimed at enhancing client relationships and supporting business development. Negotiate contracts and agreements to enhance business performance and client satisfaction Problem Management and Resolution: Focus on managing wide-scale service issues and handling trade-related problems. Oversee trade and margin analysis, manage accounts and funding processes, and apply a strong understanding of cash markets, equities, and derivatives to support client needs. Address and resolve client issues promptly and effectively. Strategic Planning: Develop and implement strategic plans to enhance client relationships and achieve business objectives. Analyze market trends and client feedback to identify areas for improvement and innovation. Collaborate with internal teams to ensure alignment with client expectations and company goals. Project Management: Oversee the delivery of services and solutions to clients, ensuring timely and successful implementation. Work in cross-functional teams to address client issues and deliver exceptional service. Monitor projects’ progress and report on key performance indicators (KPIs). Internal Coordination: Coordinate with various internal departments, such as technical operations and programming, to analyze and escalate issues appropriately. Maintain detailed records of client interactions, contracts, and agreements. Prepare regular reports on client status, project progress, and business development activities.. What Success Looks Like Month 1-6: activation of your existing client relationships and expected measurable net new AUM starting to materialise from third month onwards. Ongoing: expansion of your book through referrals and new-market prospecting. Qualifications 10+ years in a sales role in the financial services or investment industry A portable book of business: an established, loyal client base (HNWI, private wealth management, asset managers, fund managers, family offices and other private investors) ready to onboard with you. Proven experience in institutional B2B sales – building and managing relationships with institutional counterparties (asset managers, fund managers, wealth management firms, family offices) alongside private clients. Excellent knowledge of the securities market: stocks, ETFs, bonds, futures and options. Strong understanding of international business practices and cultural sensitivities. Motivation for developing business and high energy with a good sense of priorities and time management Fluent English. Additional languages will be an asset Personality and Mindset Entrepreneurial owner mentality – a hands-on, can-do attitude; you run your book like your own business and don’t expect leads or hand-holding Honesty and integrity – direct and transparent with clients, even in difficult conversations Team player with advanced communication and collaboration skills Competitive drive and an overachiever mentality – visible appetite to win, motivated by performance-based upside Persistence and resilience – disciplined daily follow-up, and the durability to stay motivated through setbacks and slower periods Adaptability – you thrive in the pace, ambiguity and evolving processes of a fast-growing fintech What We Offer* Competitive compensation that reflects your experience and the value you bring, plus uncapped performance-based commission that scales with the revenue your book generates. Flexibility that fits your life: work from home, from our office, or a mix of both. You decide what works best. Flexible benefits, where available under your engagement: you choose the options that suit you, not a one-size-fits-all bundle. A genuinely good place to work: an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning: ongoing training, education programmes, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk: events that bring our teams together to network and celebrate. Global exposure: work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. *Benefits/perks vary depending on the nature of your employment with the company and the country where you work EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Senior Software Engineer (Full-Stack) who is architecturally strong, quality-driven, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead full-stack architecture decisions, build scalable distributed systems, and drive shared platform strategies across backend, frontend, and cloud ecosystems. Strong expertise in Go and React (JavaScript/TypeScript), along with deep knowledge of cloud-native architecture patterns and event-driven system design, is essential, along with experience in building and delivering commercial applications from concept to launch. The ability to design scalable service architectures, implement robust testing strategies (including integration and E2E), optimize performance across the full stack, and mentor other developers while collaborating across cross-functional teams will be key to your success in this role. If you're passionate about building high-quality, resilient systems that scale and love designing seamless platform experiences powered by event-driven workflows, cloud infrastructure, and modern web interfaces that drive gaming, virtual currency, and digital commerce experiences, we would love to hear from you! ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Qualifications & Skills: 5+ years of professional software engineering experience, with a strong focus on full-stack development using Go and React (JavaScript/TypeScript) Deep understanding of backend architecture patterns including microservices, event-driven architecture, and domain-driven design Hands-on experience designing and building RESTful APIs and/or gRPC services in Go, with a focus on performance, reliability, and maintainability Strong proficiency in React, including modern patterns such as hooks, context, and state management libraries (Redux, Zustand, or similar) Proven experience with cloud platforms (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Pulumi, or similar) Solid experience with message brokers and event streaming platforms such as Kafka, RabbitMQ, NATS, or similar technologies Strong knowledge of relational and non-relational databases (PostgreSQL, MySQL, Redis, MongoDB, or DynamoDB) Experience implementing CI/CD pipelines and automated testing strategies, including unit, integration, and end-to-end testing Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, or similar) Strong understanding of distributed systems concepts such as eventual consistency, idempotency, fault tolerance, and retry strategies Experience mentoring junior and mid-level engineers and contributing to architectural decision-making processes Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams including product, design, and DevOps A proactive, ownership-driven mindset with a passion for writing clean, well-documented, and testable code Nice to Have: Experience with serverless architectures (AWS Lambda, Cloud Functions) Familiarity with GraphQL Exposure to WebSocket or real-time communication protocols Experience in gaming, virtual currency, digital commerce, or fintech domains Contributions to open-source projects Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Tech Lead, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT The Risk team build and maintain tools to support risk analysis and reporting for QRT’s trading businesses. This includes close collaboration with Risk Managers, Quantitative Traders, and Quantitative Researchers, across multiple asset classes, to ensure robust and scalable risk infrastructure. This particular opportunity will provide significant contributions for our Fixed Income function. Design, build, and maintain production risk analytics tools and data services Develop and support data pipelines and reporting systems used by trading and risk teams Partner with trading desks, risk, and operations to understand requirements and deliver solutions Investigate and resolve data discrepancies, risk inconsistencies, and production issues Improve system reliability, performance, and scalability Contribute to the evolution of risk and analytics infrastructure Your present skillset Fixed Income Knowledge Solid understanding of Fixed Income products, including bonds, interest rate swaps, bond futures, repos Experience working with trading desks and/or risk teams Understanding of Trade lifecycle; Risk measures (e.g. DV01, sensitivities, stress scenarios); PnL and key risk drivers Strong Python development skills Experience building and maintaining production systems Solid understanding of: Data pipelines and data processing System design and debugging Experience with SQL and databases Familiarity with APIs and data integrations 5+ years of professional software development experience with strong coding ability (Python preferred) Experience in a systematic investment manager frim, trading firm, bank, or asset manager is preferred Vendor or consultancy experience considered if combined with strong Fixed Income exposure Desirable: Experience with distributed systems, cloud platforms, or orchestration tools Experience working in cloud-based environments (AWS preferred) and familiarity with services such as EC2, S3 and Fargate Exposure to containerisation, orchestration, and monitoring tools (e.g. Kubernetes, Grafana) and modern development environments (e.g. CI/CD, Coder) QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Englewood Cliffs, NJ Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team! The Opportunity: We are seeking a highly strategic, organized, and results-driven North America Tax Team Leader (NATT) to provide business tax compliance oversight of Corporate Income Tax (CIT) and State & Local Tax (SALT) Teams and serve as subject matter expert for audit and business tax support. 1. Corporate Income Tax Compliance Review quarterly and annual tax calculations, workpapers, returns, and payments prepared by the CIT team CIT Provision CIT Estimated/Extension Payments CIT Returns Withholding Tax Returns FBAR Reporting Support annual R&E and TP analysis and review annual studies prepared by external consulting firms R&E Tax Credit Transfer Pricing 2. State & Local Tax Compliance Review monthly, quarterly, and annual  tax calculations, workpapers, returns, and payments prepared by the SALT team Sales and Use Tax Returns Business Property Tax Returns Unclaimed Property Returns Gross Receipts Tax Returns Business License and Other Tax Filings Form 1099 3. Audit Manage federal and state audit inventory Schedule status meetings/calls with external auditors as warranted Prepare and submit written responses and supporting documentation to auditors in response to information document requests (IDRs) Estimate the tax and interest impact of proposed adjustments Work with auditors and appeals officers to resolve disputes Coordinate execution of audit closing documents Revise compliance processes as necessary in response to audit adjustment 4. Business Support Provide Guidance on New or Expanding Business Transactions Review product sales, service, and purchase contracts related to new and changing operational scenarios Provide advice to ensure proper tax compliance Cultivate relationships across functional areas to discuss tax implications of contemplated transactions to reach consensus on action plans Government Tax Incentives Meet with business unit management and other internal stakeholders to understand new or expanding business operations Determine if there are federal and state economic incentives that may apply to contemplated investment Prepare project profiles and meet with government agencies to review Coordinate the preparation and submission of any required applications for incentives and work with government agencies to implement incentive agreements Ensure the Company claims all incentives that were granted Dispositions/Acquisitions Provide tax support for dispositions/acquisitions of Company subsidiaries or other equity interests in partnerships or joint ventures Affiliated Entity Support Provide general tax guidance and support of specific tax matters on an as-needed basis Tax Research Perform tax research on and pro-active, reactive, and as-directed basis External Support Serve as the lead tax representative with consulting firms in sourcing external support for tax engagements and in negotiating terms and fee arrangements of work performed 5. Administrative Support Recruitment/Training Maintain detailed job descriptions of NATT levels and positions Draft job descriptions for open positions Conduct interviews of prospective candidates and work with the NAHR team during the hiring process Present professional and personal development opportunities for NATT members Qualifications: Bachelor’s degree in Accounting or Business Management 10+ years of tax experience is required 3+ years experience in a “Big 4” CPA firm Fluency in Accounting for income taxes and significant experience in U.S. Consolidated tax return preparation Working knowledge of international taxes and transfer pricing principles; especially Canadian and Mexican markets Broad exposure to state and local taxes Comfortable with working with a diverse group of people (outside of the tax area) to achieve common objectives Well-developed interpersonal skills along with a demonstrated ability to be a team player and team builder Strong oral presentation skills when dealing with Senior Management Ability to present technical tax issues in an easy to understand manner Ability to travel for business less than 25% of the time #LI-DR1 Recruiting Range $210,000 — $230,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: London and Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Join QRT Academy as an Academic Partnerships & Research Lead in London or Hong Kong, working at the interface between academia and industry. QRT Academy connects leading research communities and talent with QRT through academic collaborations and research engagement initiatives. In this role, you will lead the development of QRT’s academic collaborations, working directly with leading institutions and research groups globally to shape and contribute to research projects and collaboration opportunities. Your future role at QRT: Lead the design and delivery of engagement programmes with academic partner institutions, including research collaborations, visiting practitioner initiatives, and student programmes Collaborate directly with academic partners on research projects, including contributing to research direction, publications, and conference engagement Build and develop long-term partnerships with leading academics, departments, and research groups across priority institutions Act as a primary point of contact for partner institutions, collaborating closely with academics and researchers to shape collaboration opportunities Identify and engage high-potential students and early-career researchers through academic programmes and networks Develop and scale the model for academic partnerships across institutions and regions Ensure alignment between academic engagement activities and broader research and talent objectives Work closely with internal teams to connect academic collaborations with QRT’s research priorities Partner with the operations function to support effective delivery of programmes, maintaining focus on academic content and relationships Your present skillset: PhD in a quantitative discipline (mathematics, statistics, computer science, engineering or related field) with a strong research background Experience managing or contributing to academic collaborations, research programmes, or university partnerships Strong stakeholder management skills, with the ability to engage effectively with senior academics and researchers Strong understanding of how leading research institutions structure external collaborations Ability to shape and manage complex academic partnerships across institutions and regions Strong organisational and problem-solving skills, with the ability to operate in evolving or ambiguous environments Experience working in globally distributed or research-intensive environments is advantageous Strong engagement with research and the academic ecosystem QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Tashkent, Uzbekistan Job Overview We are seeking an experienced Finance Controller / Finance Manager to oversee financial operations for our growing real estate business in Tashkent, Uzbekistan. The ideal candidate will have a strong background in real estate finance, excellent analytical skills, and hands-on experience with accounting software. Key Responsibilities Manage and oversee all financial operations, including budgeting, forecasting, and reporting Prepare monthly, quarterly, and annual financial statements Monitor cash flow, expenses, and financial performance of real estate projects Ensure compliance with local financial regulations and company policies Handle audits, tax filings, and financial risk management Collaborate with senior management for strategic financial planning Maintain accurate financial records using accounting software Optimize financial processes and cost efficiencies Monitor the financial performance of residential, commercial, and mixed-use development projects. Prepare project feasibility studies, financial models, investment analyses, and project cash flow forecasts. Track project costs, construction expenditures, development budgets, and project profitability. Support land acquisitions, project evaluations, and investment decision-making processes. Work closely with project development, construction, sales, and executive management teams. Manage relationships with banks, lenders, auditors, and external stakeholders. Support fundraising activities, project financing, and treasury management where required. Requirements Minimum 5+ years of experience in Finance, Accounting, or Financial Management. Mandatory experience within a Real Estate Development company. Experience managing finances for residential, commercial, or mixed-use development projects. Strong understanding of project accounting, development budgets, project cash flow management, and feasibility analysis. Experience with ERP/accounting systems such as Oracle, SAP, Zoho, QuickBooks, Microsoft Dynamics, or similar. Strong knowledge of financial reporting, budgeting, forecasting, and financial controls. Experience working with project financing, banking relationships, and treasury management is highly preferred. Fluency in English is mandatory. Russian or Uzbek language skills will be considered a strong advantage. Experience working in Uzbekistan, Central Asia, or emerging markets is highly preferred. Benefits Competitive salary package and commissions Opportunity to work with a growing real estate company Professional growth and leadership exposure Dynamic and collaborative work environment

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is looking for a driven, strategic, and entrepreneurial Sales Development Manager to lead and scale a team of SDR team in New York. This person will be responsible for building a high-performing team that generates pipeline across leading law firms, professional services organizations, and in-house legal teams. You will own hiring, onboarding, coaching, and performance management while partnering closely with Sales, Marketing, and RevOps to build a scalable pipeline generation engine. You'll also help shape Harvey's go-to-market strategy by refining targeting, messaging, and outbound programs that resonate with the North American legal market. If you're excited by the idea of building teams, developing talent, and driving impact at a fast-growing AI company transforming legal work, we'd love to meet you. WHAT YOU'LL DO - Own pipeline performance: Drive the SDR team's contribution to pipeline generation across inbound and outbound channels, ensuring strong alignment with sales targets. - Build and scale the team: Hire, onboard, and develop a high-performing SDR team, helping establish the structure, operating cadence, and performance standards for the New York market. - Coach and develop SDRs: Deliver hands-on coaching through regular 1:1s, call reviews, and deal strategy sessions to accelerate rep development and performance. - Design onboarding and enablement: Partner with GTM enablement to create onboarding and ongoing training programs that ramp SDRs quickly and build strong product, industry, and prospecting expertise. - Partner cross-functionally: Collaborate closely with Sales, Marketing, and RevOps to improve lead routing, campaign effectiveness, and pipeline conversion. - Refine targeting and messaging: Continuously test and improve outbound strategies, messaging, and account targeting based on ICP fit and performance insights. - Leverage data and tools: Use platforms such as Salesforce, Salesloft, LinkedIn Sales Navigator, Gong, and ZoomInfo to track team performance and optimize workflows. - Build a strong team culture: Foster a high-performance culture grounded in ownership, learning, and collaboration. WHAT YOU HAVE - 4+ years of experience in SaaS sales or business development, with at least 1–2 years of direct SDR or BDR leadership experience. - Proven success in building and managing pipeline-generating teams in a high-growth, outbound-focused environment. - Deep understanding of modern sales development tools (e.g., Salesforce, Salesloft, LinkedIn Sales Navigator, Gong). - A data-driven mindset with the ability to analyze team performance, uncover insights, and iterate quickly. - Experience building SDR processes from scratch—comfortable in ambiguity and excited to be the architect of something new. - A coaching-first leadership style: you invest in people, celebrate wins, and hold high standards with care. - Excellent communication skills and executive presence—both internally and externally. - Passion for AI, innovation, and the transformation of knowledge work—especially in professional services and legal. - Ability to influence tech stack decisions—develop recommendations and drive implementation. - Prior experience selling into legal or professional services firms is a plus but not required. COMPENSATION $220,000-$240,000 80/20 OTE DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Serbia Workplace: remote ABOUT YOU   We are looking for a strategic and hands-on Software Development Director to lead our global software engineering function. You will drive the execution of high-impact technical initiatives and oversee multiple development teams delivering scalable, secure, and innovative products that serve millions of users worldwide.   The ideal candidate is an inspiring leader with deep technical acumen and a proven track record of managing distributed engineering teams. You understand how to balance speed with quality, coach engineering leaders, and foster a culture of accountability, innovation, and excellence.   If you're passionate about driving large-scale software development in a dynamic, product-led environment, and want to shape the future of a growing technology company, we’d love to hear from you.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Define and execute the engineering strategy in alignment with company objectives. Provide architectural and organizational guidance to ensure long-term scalability and success. Lead, mentor, and develop multiple engineering teams, including team leads and senior developers. Establish clear goals and create growth opportunities across a global, distributed team. Ensure high-quality, timely delivery of product and platform initiatives. Continuously optimize workflows, development methodologies, and technical decision-making. Guide the evolution of system architecture, ensuring scalability, performance, and maintainability. Champion the adoption of modern technologies and development practices. Partner closely with Product, QA, DevOps, and executive stakeholders to align priorities, define technical requirements, and maintain a shared roadmap. Identify and mitigate risks across the development lifecycle. Promote best practices in observability, security, testing, and release management. Foster a high-performance culture grounded in transparency, continuous improvement, and a shared commitment to quality and innovation. Qualifications & Skills: 10+ years of experience in software development, including 5+ years in engineering leadership roles. Proven success leading large-scale, cross-functional engineering teams in complex, high-growth environments. Strong expertise in modern architectures, cloud infrastructure (AWS, GCP, or Azure), and microservices. Deep understanding of Agile development methodologies, CI/CD practices, and engineering metrics. Experience managing distributed teams and scaling organizations across multiple geographies. Strong communication and stakeholder management skills, capable of interfacing with technical and non-technical leaders alike. Sharp decision-making and problem-solving ability in high-stakes environments. Fluent in English (written and verbal). Nice to Have: Experience in the gaming, fintech, or platform-as-a-service industries. Familiarity with payments infrastructure, user-facing APIs, or developer tools. Master's degree in Computer Science, Engineering, or related field. Certifications in cloud technologies, Agile practices, or technical leadership. Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com    Explore more opportunities at: https://xsolla.com/careers

Location: Mumbai WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. WHAT YOU’LL BRING: Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc. Knowledge of Linear Algebra, Statistics, Machine Learning Prior experience in Finance/Trading is a plus. Be competent in a programming language (Python, Unix) Possess good English language skills Have a strong interest in learning about worldwide financial markets Possess a relentless drive to succeed, supplemented by a strong work ethic By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exempt - Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.  - United States  (all figures cited below in USD and pertain to workers in the United States) - Zone A: 232,000 - 290,000 - Zone B: 217,600 - 272,000 - Zone C: 204,800 - 256,000 - Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada) - 253,000 - 316,000 Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Director, Engineering  As a Senior Staff Machine Learning Scientist, you’ll:  - Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. - Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning. - Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences. - Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks. - Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems. - Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI. - Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team. - Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience You’ll thrive as a Senior Staff Machine Learning Scientist if you: - Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training. - Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred. - 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning. - Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models. - Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances. - Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code. - Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow. - Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization. - Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.   OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.