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Location: Madrid, Spain Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job Senior Business Analysts specializing in the mining sector to support M&A advisory and investment banking activities focused on mining-related opportunities. The role bridges technical geological expertise with commercial and financial analysis, evaluating mining assets, transactions, and investment opportunities across the resources value chain. Responsibilities Conduct due diligence on mining assets and companies, integrating geological, technical, and commercial assessments. Build and maintain financial models (DCF, NAV, comparable transactions and companies) for mining projects and corporate transactions. Analyze mineral resource and reserve statements (JORC, NI 43-101, or equivalent) and assess their commercial implications. Evaluate mining project economics, including capex/opex profiles, production schedules, commodity price assumptions, and risk factors. Prepare investment memoranda, pitch books, valuation summaries, and board-level presentations. Monitor commodity markets, mining sector trends, M&A activity, and the competitive landscape. Support deal execution, including coordination with technical consultants, legal teams, and counterparties. Assess geopolitical, permitting, environmental, and ESG risks affecting mining investments. Structure and evaluate alternative and structured financing schemes for mining operations, including metal prepays, royalties, streaming agreements, offtake and marketing arrangements, and debt/equity hybrids, and assess their impact on project economics and counterparty risk. Requirements Bachelor's or Master's degree in Geology, Geological Engineering, Mining Engineering, or Earth Sciences. 5+ years of relevant experience in mining, investment banking, corporate finance, equity research, or technical/financial advisory within the resources sector. Exposure to M&A transactions, project finance, or asset valuation in mining is highly desirable. Formal business education or training is a plus (MBA, finance/business degree, CFA progress, or equivalent practical commercial experience). Demonstrated understanding of mineral resource classification codes (JORC, NI 43-101, SAMREC, or similar). Working knowledge of structured financing instruments used in the mining sector, including prepays, royalties, streams, and offtake agreements. Strong financial modelling and valuation skills. Ability to translate technical geological data into commercial and financial insight. Advanced proficiency in Excel; familiarity with mining technical software (e.g., resource and mine-planning tools) is an advantage. Strong analytical, quantitative, and problem-solving abilities. Excellent written and verbal communication, including report and presentation preparation. Ability to manage multiple workstreams under deadline pressure. Attention to detail and sound commercial judgement. Preferred / Advantageous Experience across multiple commodities (e.g., base metals, precious metals, bulk commodities, battery metals). Knowledge of ESG frameworks relevant to mining. Additional languages and willingness to travel to project sites. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

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

Location: Poland; Spain; Portugal; United Kingdom; Malta; Serbia W e are looking for a Senior Litigation Counsel for our team. Responsibilities: Lead and oversee significant multi‑jurisdictional disputes, including: Commercial litigation (e.g., contract breaches, disputes over equipment quality or lease agreements) International arbitration (e.g., claims related to misrepresentation, fraud, or recovery of financial losses) Financial recovery matters (e.g., frozen assets, unauthorised transactions, or overpayments) Prepare and submit legal filings (pleadings, motions, etc.) across key jurisdictions (UAE, UK, EU, HK) Oversee all stages of litigation — from discovery and depositions to trial preparation — with minimal supervision Coordinate with local legal advisors to ensure seamless case execution Conduct in‑depth legal research to shape strategic case approaches Maintain meticulous case files and ensure full document traceability Draft legal memoranda, briefs, and internal advisory notes Manage e‑discovery processes and conduct comprehensive document reviews Support settlement discussions and alternative dispute resolution (ADR) initiatives Update litigation calendars and case management systems Collaborate with expert witnesses and cross‑functional teams to strengthen case positioning Develop litigation strategies and contribute to the evolution of best practices Monitor legislative and judicial updates relevant to key practice areas Build and maintain legal templates, research databases, and knowledge‑sharing resources Assist in internal reporting and communication initiatives Support operational tasks, such as proposal drafting and client presentation preparation Requirements Education & Qualifications: Juris Doctor (J.D.) from a recognised law school Valid license to practice law 7- 10 years of hands‑on litigation or dispute resolution experience Core Competencies: Exceptional analytical and legal research abilities, with strong command of legal databases Outstanding written and verbal communication skills, with a track record of drafting precise legal documents Deep understanding of civil procedure, evidence rules, and court protocols Proficiency in e‑discovery tools and litigation support software Proven ability to juggle multiple high‑priority cases and meet tight deadlines High level of organisation and attention to detail Strong interpersonal skills and ability to collaborate effectively within teams Professional demeanour when interacting with clients, opposing counsel, and court officials Practical experience with Google Workspace, Notion, and LLMs Preferred Qualifications: Prior experience in commercial litigation Familiarity with ADR methods (mediation, arbitration, etc.) Experience with case management and legal project tools Knowledge of legal tech solutions and their application in dispute resolution Hands‑on experience in document review and e‑discovery coordination Willingness to travel for court appearances, depositions, or meetings with external counsel Flexibility to work extended hours when case demands require Commitment to continuous legal education and staying up‑to‑date with evolving regulations Benefits Close collaboration with senior leadership and exposure to strategic business matters. Real ownership of legal projects from start to finish. Fully remote format with the flexibility to work from anywhere. Broad international scope and a diverse range of legal work. A modern, technology-enabled environment with an AI-forward mindset. 40 paid days off per year. Competitive compensation aligned with the seniority and scope of the role.

Location: Home Based - APAC Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. This is an opportunity for an Linux Engineer/Administrator with a passion for Linux and Customer Success to build a career with Canonical and support the technical needs of customers leveraging Ubuntu and open source products. If you have a passion for technology and an eagerness to learn, then you will enjoy working with some of the best people in the industry at Canonical. You will be accountable for delivering an outstanding technical support experience on the full Desktop and Server technical stack at Canonical. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. Your day to day job is to provide technical expertise, be an excellent communicator and a service-oriented professional. Every day you will have to make judgement calls to prioritise customer issues and maximise your effectiveness. You will also need to set time aside to learn about our new products and technologies and evolve as a professional. You will participate in various training sessions, team gatherings and Company events. Location: Home-based in Singapore. The role entails Investigate issues reported by customers by researching and escalating issues Work to resolve complex customer problems related to Canonical’s portfolio of products. Ownership of results: Ensure that each support case owned by you is handled according to our Service Level Agreement (SLA) with the highest possible customer satisfaction by setting the right expectations and fulfilling your commitments. Engage directly with customers and work collaboratively by phone, ticketing system, and remote sessions to resolve their issues. Participate in a regular weekend working rotation. Contribute new knowledge base articles and maintain existing articles, ensuring shared knowledge and lessons learned are available to customers. Understanding Ubuntu development process to be able to set customer expectations correctly on timeline for a fix. What are we looking for in you Professional written and spoken English with excellent presentation skills Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Track record of going above-and-beyond expectations to achieve outstanding results Experience with Linux troubleshooting (collecting logs and stack traces, fine-tuning by editing configuration files) Experience with Linux integration with other environments (authentication/directory services, network file systems, etc.) Troubleshooting experience: Linux integration with other environments (authentication/directory services, network file systems, etc.). Ability to navigate effectively stack traces and logs, and advise on next steps. Solid understanding of OS and Application level bugs and when to escalate to the correct team. Ability to learn quickly, thrive on change and handle the pressure of a customer facing job Programming fundamentals in any language. Ability to travel internationally twice a year for company events up to two weeks long Extensive Customer support experience is key: Customer needs are top priority. Communicate professionally, emphatically, clearly and set the right expectations. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Mesa, AZ, USA Bradken is a global manufacturer of custom-engineered products and solutions for the resources sector. Our products operate in some of the toughest mining environments in the world, where performance, reliability, innovation, and practical engineering support are critical to customer success. We partner closely with some of the largest mining companies globally, delivering solutions that improve equipment performance, productivity, safety, and lifecycle valu About the Role We are seeking an Applications Engineer to support the development, improvement, and customization of Bradken's mining equipment product lines, with a primary focus on Crawler Systems for Electric Rope Shovels and Hydraulic Excavators . This is more than a traditional design engineering role. While strong mechanical design capabilities are fundamental, this position also requires engineers who are comfortable working directly with customers, participating in technical discussions, presenting solutions, and supporting product evaluations in the field. You will collaborate across Engineering, Product Management, Manufacturing, Supply Chain, Sales, and end users to transform operational challenges into practical engineering solutions. The role offers excellent exposure to mining operations, customer problem-solving, and the performance of large-scale equipment operating in demanding environments. Success in this role requires someone who enjoys both technical engineering work and customer interaction. You should be comfortable explaining technical concepts, presenting recommendations, gathering customer requirements, and building credibility through engineering expertise. This is an outstanding opportunity for engineers who want to see their designs perform in real-world applications rather than working exclusively behind a desk. While previous mining experience is beneficial, we are equally interested in candidates with strong machinery design fundamentals who are eager to learn the mining industry, develop product expertise, and immerse themselves in customer challenges and field applications. Key Responsibilities You will work across product design, reverse engineering, modelling, drafting, simulation, technical analysis, field evaluations and customer support activities. You will: Create and update 3D models, detailed drawings, and engineering documentation. Support reverse engineering, product improvements, and new concept development. Complete engineering calculations, analysis, simulations, and technical verification activities. Collaborate with Manufacturing and Supply Chain teams to ensure designs are practical, manufacturable, and cost-effective. Participate in customer discussions to understand operational requirements and technical challenges. Present engineering solutions, product recommendations, and technical findings to both internal and external stakeholders. Support field evaluations, product inspections, and site investigations. Conduct visits to customer and manufacturing locations to gather data and support product performance reviews. Capture specifications, product data, and design updates within Bradken's Product Lifecycle Management system. Provide technical guidance to Sales, Operations, and Customer Support teams. Contribute to safety, quality, continuous improvement, and product innovation initiatives. This role is primarily office/shop-based with regular interaction with customers and operational teams. Travel to customer, mine, and manufacturing sites is expected. What We're Looking ForRequired Qualifications Bachelor's Degree in Mechanical Engineering or equivalent. Experience in mechanical design, product design, reliability engineering, or product development. Strong proficiency in 3D CAD modelling, detailed drafting, and engineering analysis. Experience working with manufactured products, design changes, and technical documentation. Ability to collaborate effectively with engineering, manufacturing, commercial, and operational teams. Strong verbal communication and presentation skills. Current driver's license and ability to travel regionally. Spanish language capability is highly preferred. French language capability would be considered an asset. Ideal Industry Backgrounds We are particularly interested in candidates with experience in: Mining equipment Mobile equipment Heavy industrial machinery Material handling equipment Construction equipment Power generation equipment Rotating equipment Industrial manufacturing Structural mechanical systems Crushers, conveyors, processing equipment, or similar industrial products Machinery design experience is strongly preferred. Candidates coming from industries involving large industrial equipment, heavy mechanical assemblies, mobile machinery, or power generation environments will likely find the strongest alignment with this opportunity. While all engineering backgrounds will be considered, candidates whose experience is primarily focused on building services, HVAC systems, commercial building design, or MEP consulting may find the role less aligned due to the heavy equipment and industrial machinery focus of the position. Technical Skills Valued Experience with the following tools and technologies is highly regarded: Siemens NX ANSYS Siemens Teamcenter PLM 3D Scanning Technologies Product Lifecycle Management Systems Finite Element Analysis (FEA) Reverse Engineering Processes Location & Work Authorization This position is based in Phoenix (Mesa), Arizona, USA . Candidates must either be currently located within reasonable commuting distance of the Phoenix metropolitan area or be willing to relocate at their own expense. Please note that Bradken is unable to provide visa sponsorship or employment sponsorship for this position . Applicants must have valid authorization to work in the United States at the time of application and for the duration of employment. Bradken Benefits A strong safety-first culture Competitive salary and performance bonuses Educational Assistance Program Flexible work options Global career opportunities Learning & development support Employee Assistance Program (EAP) Paid parental leave and wellbeing initiatives Why This Role? This role offers a unique opportunity to combine mechanical design engineering , customer engagement , and field exposure within the global mining industry. If you enjoy designing large-scale machinery, solving complex engineering challenges, presenting technical solutions, learning directly from customer operations, and seeing your work applied in some of the world's most demanding mining environments, this role will provide an exciting next step in your career. If you are interested in joining a team that is making a significant impact in the industry, we invite you to submit your application, along with your resume and a concise cover letter outlining why this position aligns with your career aspirations. Shortlisting for candidates will commence immediately. Everyone has a story... become a part of ours! How We Hire About Our Screening Process: As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them. If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. WE RESPECTFULLY REQUEST NO APPROACHES FROM RECRUITMENT AGENCIES. Bradken is an Equal Opportunity Employer. We are dedicated to fostering a diverse, inclusive, engaging, and flexible work environment for our employees, as we believe that remarkable outcomes arise when individuals are empowered to express their authentic selves in their work. All employment decisions will be based on merit, competence, performance, and business needs.

Location: Stamford, Connecticut, United States About the Role iCapital is looking to hire a Client Delivery Specialist, Assistant Vice President to join the Data Solutions team. This role will serve as a senior individual contributor responsible for managing complex client relationships, leading high-impact initiatives, and delivering exceptional service across a portfolio of clients. The ideal candidate will partner with internal and external stakeholders to resolve complex data and reporting challenges, drive operational improvements, and support strategic client objectives. This role combines finance, technology, and client delivery. The successful candidate will possess strong analytical and problem-solving skills, a deep understanding of wealth management technologies and reporting, and the ability to influence outcomes across teams while maintaining a client-first mindset. Responsibilities Financial Reporting and Data Aggregation tools: Analyze and explain portfolio performance results. Conduct account level reconciliation, including research and resolution of all breaks, cancels, and corrects Analysis of private equity and hedge fund statements for input into system Work with clients and partners to resolve data issue Develop and strengthen client relationships: Client onboarding Client account setup and training Day-to-day support and issue management Software maintenance and setup: System setup and configuration New client setup New financial account and asset set-up and classification Data feed management Create custom reports based on client-specific needs Liaise with the vendor partners for enhancements, and system and data issues Work as part of a team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Establish operational effectiveness through the development/adoption of policies, procedures, and controls. Qualifications 7+ years of experience in a related field Bachelor's degree from a rigorous undergraduate program Excellent customer relation skills and able to foster and maintain effective relationships Strong understanding of financial instruments Experience with RIA/Wealth Management Policies, Procedures, and Client Service Experience working with wirehouses and/or custodians such as Pershing, Schwab, or Fidelity Proactively assess and act upon client and company needs Organized and self-motivated with the ability to prioritize tasks and meet deadlines Highly attentive to detail and accuracy while maintaining an organized approach to duties and responsibilities Comfortable with technology, software tools & applications: Able to learn new software quickly Experience with Addepar, Black Diamond, Axys, APX, Orion, Archway, Solovis, Masttro or similar wealth management platforms Experience with planning tools such as eMoney, MoneyGuidePro or similar software Strong MS Excel & PowerPoint skills Basic knowledge of database concepts, and any type of programming Working knowledge of Photoshop, HTML design, and/or similar tools Knowledge of various financial products and indices, particularly: Liquid investments such as Equities, Bonds, ETFs, Mutual Funds, SMA/UMA Alternative investments Performance reporting calculations and methodologies Portfolio management and rebalancing How Family Offices, RIAs, investment advisors work Critical thinker, that possesses strong problem-solving skills and is able to summarize information clearly and concisely, both written and verbal Collaborative and able to thrive in a team environment while working independently Able to learn quickly and adapt to an expanding environment Benefits The base salary range for this role is $95,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Poland Company Background Our client is a fast-growing, multinational company in the sports tech and predictive gaming space, backed by leading investors and founders. The company operates fully remotely, with business operations in the U.S. and development teams across Europe. They foster a close-knit, respectful, and collaborative culture, placing strong emphasis on innovation, inclusivity, and user experience. The platform introduces a new approach to sports predictions by focusing on social engagement and entertainment, creating a community-driven experience that is fun, rewarding, and accessible to all sports fans. Project Description The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies Python, Django/FastAPI, asyncio Distributed systems, Microservices, Event-driven architecture Apache Kafka Docker, AWS (or other cloud providers) SQL, PostgreSQL CI/CD, Test automation Prometheus, Grafana What You'll Do Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement; Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django; Architect distributed systems to support millions of users with low latency and high availability; Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching; Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load; Implement robust testing strategies, including unit, integration, and performance tests; Drive continuous improvement of development processes and system observability, including monitoring and logging; Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines; Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing; Job Requirements 5+ years of experience in Python backend development; Solid experience with Django/FastApi and asynchronous programming using asyncio; Production experience with Apache Kafka; Strong experience with distributed systems, microservices, or similar architecture; Experience deploying and managing containerized applications using Docker; Familiarity with any cloud provider, preferably AWS; Proficiency with SQL databases, especially PostgreSQL; Experience with CI/CD pipelines and test automation; Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent; Strong problem-solving skills and experience with code reviews; Comfortable working in Agile teams; English level: B2 or higher; Nice To Have Experience with Kubernetes; Experience working with systems supporting 1M+ users; Experience with NoSQL databases; Exposure to event sourcing or CQRS patterns; Familiarity with frontend technologies such as React; Knowledge of big data tools such as Flink or NiFi; Exposure to infrastructure as code tools such as Terraform; Experience in the sports or betting industries; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

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

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

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

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

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

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

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

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

Location: United Kingdom; Canada; United States About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment. Key Responsibilities Design, build, and deploy AI/ML models for real-world applications. Develop and optimize AI-powered features using modern frameworks and APIs. Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives. Build AI pipelines for data processing, training, inference, and monitoring. Collaborate with cross-functional teams to translate business needs into AI solutions. Integrate AI services into web applications, SaaS platforms, and internal tools. Fine-tune and evaluate machine learning models for performance and scalability. Maintain documentation and ensure AI systems follow security and compliance best practices. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Requirements 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role. Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Experience working with LLMs, generative AI, prompt engineering, or AI agents . Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud. Understanding of APIs, microservices, and backend development. Experience with Docker, Git, and CI/CD workflows. Strong analytical and problem-solving skills. Excellent communication skills and ability to work remotely with global teams. Bachelor’s degree in Computer Science, AI, Data Science, or related field preferred. Experience with AI automation tools and agent frameworks. Knowledge of MLOps and model monitoring tools. Familiarity with NLP, computer vision, or recommendation systems. Experience building AI SaaS products or chatbots. Exposure to FastAPI, Node.js, or React-based applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: London, England, United Kingdom Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a ML Engineer to join our Data Science team, a future-looking technical arm of Graham. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it. The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and the insights we provide our stakeholders. At Graham, our systems feed live models around the clock, span billions of market data ticks, an ever-increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs. Responsibilities You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems on the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund. Requirements Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets Experience writing production code for multi-client systems serving model results is a great plus Ability to clearly communicate research findings to technical and nontechnical stakeholders Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments Experience with scientific computing, statistics, optimization, time series, panel data, etc. Comfortable handling multiple projects to solve varied problems working with multiple teams Detail-oriented mindset Sense of ownership of his/her work, working well both independently as well as collaboratively This role requires commuting into our London office Mondays through Fridays.