Experiment jobs in TiptonCreate job alerts

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do Build and optimise LLM-powered systems Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches Experiment with modern architectures such as Transformers and Mixture-of-Experts Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods Develop robust evaluation approaches to measure model quality and reliability Develop scalable AI systems Build and deploy production-grade NLP pipelines and services Ensure models operate efficiently with low latency and high availability Integrate models into scalable cloud infrastructure and real-world applications Data strategy and model training Lead the acquisition, processing and governance of large structured and unstructured datasets Apply exploratory data analysis and validation techniques to improve training pipelines Ensure data privacy and governance standards suitable for financial services Engineering best practices Contribute to DevOps and MLOps pipelines Implement robust version control, testing and CI/CD workflows Support reliable deployment and monitoring of models in production environments Technical leadership Mentor engineers and contribute to the technical growth of the team Work closely with product, engineering and data teams to deliver AI solutions Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations and data acquisition pipelines Experience implementing software engineering best practices including Git and agile development Experience working with cloud environments (preferably AWS) Nice to have Experience with containerisation technologies such as Docker or Kubernetes Experience with frameworks such as vLLM or NeMo Knowledge of financial services NLP applications Experience designing evaluation methodologies for LLM outputs Experience building intelligent agents or multi-agent systems Skills and mindset Strong analytical problem-solving skills Ability to design scalable, production-ready AI systems Clear communication with both technical and non-technical stakeholders Passion for AI innovation and continuous learning Leadership and mentoring capability Qualifications MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: Remote-first working across the UK Work abroad policy Co-working spaces available 34 days holiday (including flexible bank holidays) and your birthday off Company-wide off-sites Optional Personal Development Plan Flexible benefits platform Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions) Private health and dental care Potential share options Enhanced family leave

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. • Evolve the Interactive Learning Plugin's recommendation system, • Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations., • You’ll own a real-time recommendation service, • Build and operate applied models, • Develop, validate, version, monitor, and iterate on models used by the recommendation system., • You’ll own model training & serving, • Define what recommendation quality means, • Develop offline, online, and longitudinal measures of recommendation performance., • You’ll own feature pipelines, monitoring of the model and architecture, • Ship incremental improvements, • Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow., • Integrate improvements into the existing recommender rather than waiting for a complete replacement system., • Partner across disciplines, • Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service., • Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis., • Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions., • Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. • Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn., • HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems, • Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: • Experience with content, education, onboarding, or learning recommendation systems, • Experience with SaaS product telemetry and customer-account data, • Experience using warehouse-scale behavioral data, • Experience with directed graphs, sequence models, or prerequisite-aware recommendations, • Experience with contextual bandits or other exploration strategies, • Familiarity with Grafana or the broader observability ecosystem, • Experience with open source software or transparent development practices, • Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: _. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. As a Technical Support Analyst (L2), you’ll play a critical role in supporting our customers by providing advanced technical assistance to resolve complex issues. This position is ideal for someone who thrives in a dynamic environment and is passionate about delivering exceptional customer service. Please note: this position requires availability on weekends as per business requirements and you must be in EMEA in one of the following places Ireland, United Kingdom, Spain or Poland Provide clear, timely communication to customers, keeping them informed about the status of their issues and ensuring a high level of customer satisfaction. Deliver support through multiple channels, including email, phone, chat, and video calls (e.g., Google Meet, Zoom). Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in Runpod’s products or services. Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds. Communicate effectively with customers and internal teams, including engineering, sales, supply and product management teams, to ensure customer satisfaction and integrate valuable feedback. Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues. Contribute to product development and testing efforts by relaying feedback from customers and the support team to the engineering team, helping to shape product improvements. Create and maintain technical documentation, such as knowledge base articles, FAQs, guides, and manuals, while also developing and delivering training sessions, webinars, and demos for customers, partners, and internal teams. Use diagnostic tools and techniques to find the root cause of issues and implement fixes, updates, or changes as needed. Analyze software code and logs to spot bugs or performance issues, developing solutions or workarounds where necessary. Conduct thorough analysis of system performance, errors, and configurations to ensure our systems remain stable and reliable. Proficiency with Datadog, Grafana, SQL databases, and ease with CRM tools are considered strong assets for this role. Assist customers with software configuration tasks, such as installation, setup, and customization, to help them get the most out of our products. At least 5 years professional experience in technical customer support. Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field) or equivalent professional experience. Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems. Strong problem-solving skills and the ability to analyze and resolve technical issues. Should have at least 2 years of experience in software engineering/development or 2 years of experience as a networking admin Knowledge of various operating systems (Linux/Ubuntu), containerization (Docker), SQL databases (MySQL, PostgreSQL), and an understanding of data center components such as server hardware and network operations, as well as familiarity with common network protocols like TCP/IP, HTTP/HTTPS, SSH, and DNS. Ability to write and execute scripts, queries, or commands, and the ability to read and understand code, logs, errors, or traces in Python. Excellent communication skills, both verbal and written. Advanced knowledge of operating systems, including: Proficiency with SSH and the use of terminal commands Experience with Linux (server versions specifically) Strong asset: proficiency in Docker and deployment on the docker Strong technical skills, including proficiency in Django, Flask, PyTorch, JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development. Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms. Experience in AI fine-tuning or AI inference What You’ll Receive: The competitive base pay for this position ranges from 70,000 to 82,500 euro. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. Flexible PTO- take the time you need to recharge Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. $1,200 USD Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate; however, we are currently unable to sponsor employment visas

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Over 100,000 businesses and millions of people use 1Password to protect their most important information, and we believe those people—and the companies they work for—shouldn’t have to choose between security and productivity. We see security as a human challenge, rather than a technological one. It’s hard work, but our mission has always been to ease the tension between security and convenience and help people navigate the digital world without fear or friction. Human-centric security is part of our DNA, but human-centricity is also the backbone of our culture. We encourage big ideas and new ways of working that help us to make the online world a safer place for everyone. As a Commercial/Enterprise BDR, you’ll be pivotal in driving our growth within the Commercial & Enterprise sector across the EMEA Region. This role has a higher emphasis on generating strategic outbound opportunities while still engaging with inbound leads. You will be the initial point of contact for potential customers, establishing the groundwork for successful sales engagements. This is a remote opportunity within the UK. What we're looking for: Communication (& Language): You have excellent written and spoken communication skills in German and English with the ability to engage and develop relationships, sharing information effectively across all professional levels. Experience: You have one or more years of experience in sales pipeline generation, with a proven track record in both inbound and outbound sales. Results-Oriented: You are motivated, driven, and focused on achieving and exceeding targets. You demonstrate discipline and a results-oriented spirit in all your efforts. Teamwork & Collaboration: You value teamwork and actively engage in knowledge sharing and celebrating team successes. Growth Mindset: You embrace feedback, continuously seeking learning opportunities, and are committed to growing within the Sales organisation. Curiosity & Adaptability: You are naturally curious, quick to adapt, and thrive in a dynamic environment. Tech-Savvy: You are proficient with Salesforce, Outreach, LinkedIn Sales Navigator, or related tools, and eager to learn new technologies. Organisation & Time Management: You have strong organisation and time management skills, enabling you to juggle multiple tasks effectively. What you can expect: Lead Generation: Focus primarily on generating and qualifying outbound leads, while also handling inbound inquiries through phone, email, social media, and video. Manage and grow Sales Pipeline: Proactively prospect into new accounts, identifying, qualifying, and nurturing potential business opportunities in new and existing Commercial/Enterprise accounts by conducting initial conversations and following up with decision-makers. X-Functional Collaboration: Collaborate closely with Marketing, Account Executives and others to leverage their insights and expertise to achieve shared goals. Develop Pipeline Generation Skills: Build and improve your skills in pipeline generation, crucial for your career progression within sales. Continuous Learning: Deepen your understanding of our product, its use cases, and any company initiatives through our onboarding programme and Learning Management System. You'll also leverage resources to help you master our tech stack and understand customer challenges. You'll have ongoing support from managers through one-on-one coaching throughout. Leverage Cutting-Edge Tools: Utilise an industry-leading software stack in your outbound prospecting, including Salesforce, Outreach, 6sense, Lusha, and LinkedIn Sales Navigator. Travel: You may occasionally be required to travel for company meetings and marketing events. The frequency and duration of travel will depend on business needs. Travel may include visits to countries where your language skills will be a valuable asset. Creativity and Adaptation: You will try new things—if something isn’t working, you’ll be encouraged to be creative and to try new tactics and strategies. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

📌 Position Title: AI Product Specialist 🌍 Location: Remote - Europe ⏰ Working Rhythm: Innovation is a 24/7 pursuit, but we value your downtime. While our typical working hours are 9am-5pm in your timezone, we embrace flexibility and trust you to manage your schedule to meet your individual needs and peak productivity times. Occasionally, longer hours may be to tackle challenges, support new releases, or contribute to time-sensitive initiatives. 📝 Contract Type: Permanent 🤝 Reporting To: Chief Product Officer 📅 Start Date: April 2026 Role We're looking for someone who lives at the edge of AI possibilities—someone who wakes up thinking about what they can build with the latest models, tools, and techniques. You're the kind of person who has strong opinions about Claude vs ChatGPT vs Gemini because you've actually shipped things with all of them. You experiment relentlessly, you vibe code like others scroll social media, and you want to build the future. As our AI Product Specialist, you'll be our internal R&D lab and strategic advisor rolled into one. You'll prototype agentic experiences, pressure-test new AI capabilities, and help me make smart bets on what we should build. You'll balance hands-on building with strategic thinking—shipping experiments fast while developing frameworks for how we should think about AI across our product. At Nexford we're building a new kind of university: one that's affordable, flexible, relevant, and 100% online. One that prepares learners for the careers of tomorrow, without the burden of student debt. Key Responsibilities • Ship rapid AI experiments: Build working prototypes of agentic workflows, conversational interfaces, and AI-assisted features. Move from idea to clickable demo in days, not weeks. You're comfortable with imperfect MVPs that teach us something and can help get buy in for deeper investment., • Develop strategic recommendations: Translate hands-on learning into actionable guidance for the CPO. Where should we invest our AI resources in?, • Stay bleeding-edge current: The AI space is rapidly changing, with new models and techniques regularly emerging. You’ll stay on top of the latest and encourage us to integrate new concepts., • Design agentic experiences: Go beyond chatbots and build fully agentic systems with orchestration., • Bridge technical and product thinking: Translate between what's technically possible and what creates real user value., • Cross-functional Collaboration: Collaborate with cross-functional teams across Nexford, including Learner Success, Academic Operations, Technology, and Marketing, to ensure a cohesive and seamless learner experience. Additionally, foster successful market introduction of new products, features, and experiences., • Data-Driven Decision Making: Utilize user research, data analytics, and learner feedback to assess product performance, identify areas for improvement, and inform future iterations., • Continuous Improvement: Promote a culture of continuous improvement, iterating on products and services based on feedback and data insights. Skills & Qualifications • 2-4 years working to ship features and products, with meaningful AI experience: You've built real features that real users have used. Bonus if you've worked on conversational AI, agents, or developer tools., • Vibe coding as a superpower: You can go from idea to working code fast. You're comfortable with Claude/Cursor/Copilot/Lovable/v0 and whatever comes next. You write code to think, not just to ship. You know when to polish and when to stay scrappy., • Deep curiosity about AI tools and techniques: You have strong opinions (weakly held) about RAG architectures, prompt engineering, function calling, fine-tuning, and when to use what., • Tinkerer mentality: You build side projects. You have a personal AI stack. You like to experiment., • Product taste alongside technical chops: You know the difference between a cool demo and a useful feature., • Clear communication: You can explain complex AI concepts to non-technical stakeholders to get buy-in and build a shared understanding. If you're passionate about transforming lives through education and have a proven track record of delivering exceptional customer experiences, we encourage you to apply!

SavvyMoney is a US based leading financial technology company. We provide integrated credit score and personal finance solutions to 1,600 + bank and credit union partners throughout the United States. The SavvyMoney solutions integrate with more than 43 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company. Our company is growing and we are looking for Independent Senior Data Engineer Contractors to help support the growth. **This Independent Contractor will work 100% Remotely from your home office in Warsaw, Poland as part of a distributed team in the USA, Canada, Europe and several locations in India. We are growing our team and looking for a Lead ML/AI Platform Engineer. As a Lead ML/AI Platform Engineer at SavvyMoney, you will own the platform that takes machine learning from experiment to production — training infrastructure, model serving, inference pipelines, and the integration seams with our Java microservices. You will set technical direction for AI/ML across the company alongside our Data Platform Architect, and drive the engineering side of our GenAI/LLM and agent strategy — from retrieval architectures and evaluation harnesses to the guardrails required to run agentic workflows responsibly in a regulated environment. Partner with our Data Platform Architect to set technical direction for AI/ML across the company — architecture, tooling, standards, and build-vs-buy decisions. Own the ML/AI platform: training infrastructure, model serving, inference pipelines, and production integration. Feature engineering, model training, model registry, and hosted inference in Amazon SageMaker GenAI/LLM usage, fine-tuning, and agentic workflows in Amazon Bedrock and AgentCore Feedback and data pipelines built on AWS Glue, Lambda, and Step Functions Own the serving layer and integrate ML services cleanly with our Java microservices — define the API contracts and make the latency and throughput trade-offs. Drive the engineering side of our GenAI/LLM strategy: retrieval architectures, evaluation harnesses, serving patterns, and the judgment calls about which approach fits which problem. Bring depth on the emerging agent stack — MCP, agent workflow patterns, stateless and stateful designs, and the guardrails needed to run them responsibly in a regulated environment. Partner with our Data Scientist on the handoff from experimentation to production: productionize models, stand up the feature pipelines and serving infrastructure they need, and shorten the loop between training and deployment. Work with product, data, and engineering leadership to identify the highest-impact ML opportunities and translate them into roadmaps. Represent the AI/ML function in cross-functional forums, communicating trade-offs clearly to technical and non-technical audiences alike. Required 8+ years in software or ML engineering, including 5+ years shipping production ML systems and a track record of owning ambiguous, high-scope problems end to end. Demonstrated technical leadership: you've shaped the ML strategy of a team or organization, mentored senior engineers, and been the person others rely on for difficult architectural calls. Hands-on experience with both operating models we use: AWS managed ML stack: Amazon SageMaker (training, tuning, hosted endpoints, model registry), Amazon Bedrock, and AgentCore for GenAI and agentic workflows. Open-source ML tooling: JupyterLab for notebooks, Spark for distributed processing, MLflow for experiment tracking and model registry. Deep working knowledge of the AWS stack — S3, Athena, Redshift, Glue, Step Functions, Lambda — plus SQL skills strong enough to model data for both analytical and ML workloads. Production experience with GenAI/LLMs: RAG, prompt engineering, evaluation, and a clear grasp of the cost, latency, and safety trade-offs involved. Familiarity with vector databases (e.g., pgvector, Pinecone) and sound judgment on when they're warranted versus alternatives such as NoSQL retrieval. Working knowledge of Java sufficient to review service code, define API contracts, and debug integration issues with our microservices. Deep expertise in Python and the core ML stack: scikit-learn, pandas, NumPy, PyTorch and/or TensorFlow, XGBoost / LightGBM. Solid MLOps fundamentals — model monitoring, drift detection, reproducibility, experiment tracking, model registry, and cost observability — plus the ability to partner with DevOps on CI/CD rather than build it from scratch. Excellent written and verbal communication — you can write both the design doc that aligns a dozen engineers and the one-pager that aligns the exec team. Strong collaborator, comfortable operating in a role where scope is shared: you'll partner with a Data Scientist on models and DevOps on infrastructure, and you can navigate those seams while keeping clear ownership. Ability to operate as an independent contractor through your own entity or an approved contracting arrangement, with reliable overlap with US Pacific business hours for architecture reviews and cross-team work. Nice to Have Experience with ClickHouse or a comparable columnar / real-time analytical database. Fine-tuning experience (LoRA / QLoRA, instruction tuning, or RLHF). Streaming and real-time inference experience (Kafka, Kinesis, low-latency serving). Infrastructure-as-code (Terraform, AWS CDK, CloudFormation). Experience operating ML systems at meaningful scale — hundreds of millions of predictions per day, or equivalent. Open-source contributions, conference talks, papers, or patents in ML / applied ML. Data Scientist — leads feature engineering, model training, fine-tuning, and experimentation. You'll partner on the research-to-production handoff, stand up the infrastructure they need, and jointly own the quality of what ships. DevOps — owns CI/CD, deployment infrastructure, and platform observability. You'll partner on ML-specific extensions (model artifacts, reproducible environments, canary and shadow deployments) rather than rebuilding what already exists. Backend engineers — own the Java microservices that consume ML outputs. You'll define the contracts and own the serving side. Product and engineering leadership — you're the technical voice on what we should build with AI/ML, and how. Distributed processing: AWS Glue Orchestration: AWS Lambda, AWS Step Functions Managed ML: Amazon SageMaker, Amazon Bedrock, AgentCore Open-source ML: JupyterLab, Spark, MLflow Storage & query: Amazon S3 (data lake), Amazon Athena, Amazon Redshift, ClickHouse Languages: Python (ML, pipelines), Java (microservices) Why This Role Matters Credit data is the core of what we do, and the opportunity to make it smarter — better offer targeting, better personalization, better insight for 1,600+ financial institutions and the consumers they serve — runs directly through the ML platform. Today that platform is early. You will be the person who defines what it becomes. Your decisions on architecture, tooling, and evaluation will set the ceiling on what every ML-driven feature at SavvyMoney can do for years. Join us at SavvyMoney and help build the AI foundation of a platform trusted by 1,600+ banks and credit unions. Additionally we provide Equity Compensation Package Flexible Time Off (FTO) - take time off as needed to rest and recharge. Medical, Dental, Vision – 100% premium paid for employee Disability/Life Insurance Opportunity for learning and career growth with a top Bay Area technology company Reimbursement for remote work setup Monthly stipend for phone and internet Team building events, culture activities, all hands events Paid time off to volunteer and serve the community Half day Fridays 401k matching contribution Beautiful California East Bay offices in Dublin, CA SavvyMoney’s EEO Statement SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the_

Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role As a Business Development Representative at Cast AI, you’ll be on the front lines of pipeline generation. Your daily mission is to uncover high-value opportunities and create meaningful first conversations with technical and business buyers. Requirements: • Interest in cloud, Kubernetes, and AI tools; can grasp complex technical products quickly., • Ability to clearly articulate value propositions and tailor messaging to multiple personas., • Demonstrated success in cold outbound, with understanding of account research and personalized outreach., • Detail-oriented in managing pipeline, logging activities, and following up., • Tenacious attitude with the grit to handle rejection and stay goal-oriented., • Create and own your process for pipeline generation, with the ability to speak on your book of business., • Manage your time effectively to complete your day-to-day task and hit your daily/weekly KPIs., • Actively seeks feedback, learns fast, and thrives in a fast-paced, evolving environment., • Based in London, UK. Nice to have: • Experience Selling to DevOps/Engineering Personas., • Familiarity with Cloud Platforms (AWS, GCP, Azure)., • Past Work in Early-Stage SaaS or Startups., • Basic understanding of Kubernetes or containerized infrastructure., • Additional languages. Responsibilities: • Prospect and research target accounts using tools like LinkedIn, Clay, Apollo, and more., • Craft personalized outbound outreach (email, calls, LinkedIn) to engage decision-makers across engineering, DevOps, and cloud teams., • Collaborate with AEs to align on territory plans, account lists, and ideal customer profiles (ICPs)., • Maintain pipeline hygiene in the CRM, tracking activity and outcomes for reporting and feedback., • Experiment with messaging, subject lines, cadences, and value props, learning what works and doubling down., • Participate in enablement sessions to stay sharp on Cast AI’s value, use cases, and competitive landscape., • Stay in the loop with marketing plays and product updates to align your outreach with current campaigns What’s in it for you • Competitive salary, • Flexible, remote-first global environment, • Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology, • Equity options, • Learning budget for professional and personal development, including access to international conferences and courses, • Team-building budget and company events to connect with your colleagues, • Equipment budget to ensure you have everything you need, • Extra days off to help maintain a healthy work-life balance Hiring process • Screening call with Recruiter, • Hiring Manager interview, • 1-2 additional interviews based on the role, • Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive. That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do. We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started. Overview of the Product Team Product Managers at Zego are change-makers. We build and scale data-driven, impactful solutions that enable Zego to offer competitive and personalised insurance. Working in a fast-paced Agile environment, our team thrives on innovation, cross-functional collaboration, and driving measurable outcomes. We’re building a product organisation where AI isn’t a buzzword - it’s how we work. From rapid prototyping with generative AI to using machine learning models that power our core pricing, our PMs operate at the frontier of what technology can do for insurance. From enhancing pricing models to streamlining digital experiences, our Product team is instrumental in shaping the future of insurance. About the Role We are looking for a Lead Product Manager who combines strategic depth with a hands-on builder’s instinct. You’ll own strategic workstreams that span multiple teams and business domains, defining the 6-12 month product direction and shaping how Zego’s products evolve to meet ambitious commercial targets. This role sits at the intersection of strategy, execution, and leadership. You’ll define new product mechanics and revenue models. You’ll make build-vs-buy-vs-partner recommendations that shape Zego’s competitive position. And you’ll champion an experiment-first culture - using AI to compress discovery cycles, generate sharper insights, and ship at a velocity that sets the standard for the rest of the organisation. You’ll work closely with Zego’s Leadership Team on strategic decisions, lead cross-functional programmes, and mentor Product Managers - raising the bar for how the entire product community operates. What You’ll Be Doing • Set strategic direction: Define strategy for the 6-12 month horizon. Shape product operating models and governance. Make build-vs-buy-vs-partner recommendations that directly influence Zego’s competitive position., • Define new product mechanics and revenue models: Identify and validate new revenue opportunities - from 0-to-1 propositions to upsell and retention loops. Ground every bet in unit economics and customer insight, not gut feel., • Architect an experiment-led culture: Embed rigorous experimentation (A/B testing, multivariate, rapid prototyping) into how your teams work. Replace opinion-driven roadmaps with a data-backed cadence where “rate of learning” is the leading metric., • Champion AI adoption across Product: Go beyond personal AI use - develop reusable AI playbooks, workflows, and assets that multiply the team’s output. Identify where AI tools can materially accelerate product development, content generation, data analysis, and decision-making across the organisation., • Lead with data at every level: Design the product metrics and dashboards used by the business. Be proficient in gathering and using financial, behavioural, and usage data to ground strategic decisions. You’re as comfortable in Snowflake as you are in a board-level strategy review., • Drive company-level initiatives with P&L impact: Own programmes that move core business metrics. Be accountable for commercial outcomes, not just feature delivery., • Lead cross-functional workstreams: Partner with engineering, data science, design, marketing, legal, and compliance to ensure your strategy is technically feasible, commercially viable, and delivered with velocity., • Mentor and develop PMs: Manage the product community of practice. Coach Product Managers across the organisation, instilling a customer-first, experiment-first mindset and raising the bar for data capabilities and product craft., • Engage with the Leadership Team: Present strategic recommendations, lead pivots and sunset decisions, and shape how Product is represented in company-wide decision-making.. What You’ll Need to Be Successful • Strategic product leadership: Significant experience leading product strategy across multiple teams or domains, ideally in a high-growth environment. You’ve defined product operating models, shaped governance, and made decisions that moved business-level metrics., • Experiment-first operator: Deep, hands-on experience designing rigorous experiments and rapid prototypes. You’ve built experiment cultures - not just run individual tests. You instil the “build-measure-learn” loop as the default operating rhythm for your teams., • Commercial and financial fluency: Deep understanding of unit economics, pricing levers, and revenue modelling. You prioritise based on expected commercial impact and can credibly partner with Finance and Leadership on P&L-level decisions., • AI as a force multiplier: You don’t just use AI tools yourself - you’ve built AI-enabled workflows, playbooks, or toolchains that made your team measurably faster. You can point to concrete examples of how AI has materially accelerated your or your team’s product development., • Data mastery: Proficient in gathering and using financial, behavioural, and usage data to make strategic decisions. You design the metrics and dashboards that the business relies on., • Technical depth: Comfortable engaging with engineers on system architecture, APIs, ML pipelines, and service design. You understand the technical trade-offs well enough to make informed strategic bets., • Outstanding communication and influence: You engage with the Leadership Team on strategic decisions, lead cross-functional workstreams, and bring stakeholders along through clarity and conviction - not hierarchy., • Builder mentality: You’re not just a strategist. You’re comfortable acting as an IC when needed, getting into the detail, and leading a squad directly when the situation calls for it., • People development: Proven track record of mentoring and developing PMs. You actively contribute to the broader product community, not just your own area. Our Toolkit We believe the tools don’t make the Product Manager, but the right stack helps us move with velocity: • Collaboration: Notion, Whimsical, Slack, Google Meet, • Design, Prototyping & User Testing: Figma, Figma Make, Maze, • Data & Analytics: Snowflake, Amplitude, Hotjar, Looker, • Thinking & Strategy: Claude Cowork, • Automations: Claude Code, Zapier What’s it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day. Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want. You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter. How we work We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we’re flexible - some people prefer being in once a month or even quarterly. It’s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance. Our approach to AI We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well. Benefits We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters! There’s more to Zego than just a job - Check out our_ for insights, stories, and more. We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. #LI-IL1 #LI-Hybrid

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: _. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. As part of the Revenue Team, you’ll work closely with customers, the sales team, the product team, the engineering team and the support team to ensure a seamless and delightful Runpod experience. Your role will focus on providing technical insights, resolving challenges, and building trust with customers. Our team is dedicated to delivering exceptional solutions and fostering collaboration across functions to make the platform as smooth and efficient as possible. This Forward Deployed Engineer will support the growth of our cloud platform. This role ensures customers experience seamless operations, addressing technical challenges, guiding onboarding, and collaborating with engineering and sales teams. Ideal candidates combine technical expertise with strong communication skills to enhance customer satisfaction and improve our platform. You’ll play a key role in solving technical challenges, shaping the customer experience, and driving product improvements. By building strong customer relationships and collaborating across teams, your contributions will directly enhance operational efficiency, customer satisfaction, and the success of Runpod. This FDE will need to be located in EMEA Responsibilities: Participate in sales meetings with customers, explain Runpod’s specific technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers. Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in Runpod’s products or services. Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds. Communicate effectively with customers and internal teams, including engineering, sales, supply and product management teams, to ensure customer satisfaction and integrate valuable feedback. Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues. Contribute to product development and testing efforts by relaying feedback from customers and the support team to the engineering team, helping to shape product improvements. Create and maintain technical documentation, such as knowledge base articles, FAQs, guides, and manuals, while also developing and delivering training sessions, webinars, and demos for customers, partners, and internal teams. Requirements: Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field) or equivalent professional experience. 3+ years of professional experience in software development. Strong problem-solving skills and ability to work in a collaborative environment. Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems. Excellent communication skills and attention to detail. Located in US in the PST region Successful completion of a background check. Preferred: Strong technical skills, including proficiency in Python (Django, Flask, PyTorch), JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development. Knowledge of various operating systems (Linux/Ubuntu), containerization (Docker), SQL databases (MySQL, PostgreSQL), NoSQL databases (MongoDB), and an understanding of data center components such as server hardware and network operations, as well as familiarity with common network protocols like TCP/IP, HTTP/HTTPS, SSH, and DNS. Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms. Ability to write and execute scripts, queries, or commands, and the ability to read and understand code, logs, errors, or traces. What You’ll Receive: The competitive base pay for this position ranges from 100,000- 180,000 usd (local currency equivalent). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. Flexible PTO- take the time you need to recharge Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work; however, we are currently unable to sponsor employment visas

Fully Remote (UK based) | Competitive Salary + Bonus + Generous Equity | B Corp Certified TrustedHousesitters is a fast growing, direct-to-consumer marketplace that is redefining pet care and travel. Here at TrustedHousesitters, we’re on a mission to make travel work better for pets, for their people, and for the global community of animal lovers who look after them. We’ve got big plans on becoming the world’s most-loved travel solution for pet people. We’ve built something pretty special: a trusted place where pet owners and sitters connect to keep pets happy at home while their humans explore the world. We’ve already grown into a global community with members in over 140 countries, a product people genuinely love, and a team of more than 100 brilliant humans powering it all. But we’re only just getting started. Our goal? To grow to 1 million members and make TrustedHousesitters the world’s most-loved travel solution for pet people. At the moment, a sit starts every two minutes somewhere on the planet. We want that to be every single minute and we know the only way we’ll get there is with the right people in the right roles. The right people in the right roles will shape our future. So, here’s the big question: Could that be you? Fifty million people in the UK and US alone could be TrustedHousesitters members. Around forty thousand visit us every day. How we present our product, and embed trust to our prospective new members to improve conversion is one of the most interesting analytical challenges for us right now - and this role sits right in the middle of it. You'll own the analytics for our new member revenue product squads. Own the funnel, own the experiments, own the recommendations. You'll be the person who doesn't just explain what happened in the data - you'll have a point of view on what to do about it. We're looking for someone who goes looking for the questions nobody's asked yet. • Own the growth analytics for our new member revenue squads - acquisition funnel, conversion, activation, the works - and build a picture of what's actually driving (or blocking) member growth Spot opportunities in the data before anyone asks you to look. Turn them into recommendations that change what gets built, not just what gets reported Lead instrumentation on new features - defining tracking, success metrics, and guardrail metrics before anything ships, not after Design and run A/B and multivariate experiments end-to-end: from hypothesis through to decision-ready insight. Set the standard for how experimentation works across your squads Build the dashboards and self-serve reporting that means stakeholders can answer their own questions - and you spend less time running the same queries every Monday Challenge assumptions. Act as the analytical voice in the room when product and commercial decisions are being made. Be the person who's comfortable saying "I don't think that's what the data shows" Mentor other analysts and help raise the analytical bar across the team - in SQL, in experimentation, in how we tell a story with numbers • Solid product or growth analytics experience in a subscription, marketplace, SaaS, or platform business - where the funnel is complex and the metrics actually matter The ability to own end-to-end analysis for a product area, from scoping through to recommendation, with minimal direction. Advanced SQL. You're not reaching for documentation for standard analytical patterns. dbt experience is a genuine plus Solid understanding of experimentation - hypothesis design, A/B and multivariate testing, statistical significance, the places where naive analysis goes wrong. And experience applying it, not just describing it Fluency in growth and product metrics: conversion, activation, churn - and how those numbers connect to things the business actually cares about Strong data storytelling. You can explain what the numbers mean to a product manager, and also to a CFO. Different rooms, different language, same rigour Product instincts. This isn't just an analytics role. We want someone who generates ideas, not just validates them Experience with event tracking and CDPs - Segment, Amplitude, Mixpanel, or similar Python or R for more advanced modelling or automation Experience integrating AI tools into analytical workflows in a way that's actually made a difference - not just "I've used ChatGPT" We know this isn't what you'd see in most job ads - but TrustedHousesitters isn't most companies. Trust, transparency, and honest feedback aren't just things we say; they're genuinely how we operate, every day. So rather than leaving you guessing if things don't work out, we'd rather give you what you need to make a great decision upfront about whether this opportunity is right for you. With that in mind, here are a few things worth considering before you hit apply. You're most comfortable when the question is handed to you. This role needs someone who goes looking for the question. If your best work tends to happen when a stakeholder has defined the problem clearly and you're building the analysis to answer it - that's a genuinely valuable skill, just not quite the shape of this one. You think of experimentation as a process to follow, not a discipline to own. We're not looking for someone who can run an A/B test to spec. We're looking for someone who'll push back when the experiment is designed badly, mentor others through the parts they get wrong, and build the frameworks that make the whole team better at it. You're happiest when the business is stable and the roadmap is fixed. THS is growing fast and the product is evolving constantly. The analytical picture shifts. Priorities shift. That's the job - and if predictability is important to how you do your best work, it's worth naming that upfront. If you're reading this and one of those points resonates, and you're sitting there thinking "that's me, but I know I can make it work" - we'd love to hear why. Send a Cover letter. There's a human at the heart of every decision we make here (hi!) - and we'll always take the time to review applications for anyone who wants to join us. We value your time and aim for a transparent, efficient process: Intro call (~20 mins) - with the Talent team. A two-way conversation: we'll tell you more about the role and THS, you tell us about your background and what you're looking for Hiring manager interview (~30 mins) - with the Product Analytics Lead. Covering your analytical experience, approach to experimentation, and how you think about growth problems Take-home task (~1-.5 hours) - a short analytical exercise. We'll share a brief in advance and give you time to work through it at your own pace £65,000 - £70,000 a year • Each year, you’ll get a Premium TrustedHousesitters Combined membership which includes benefits like free airport lounge passes, Sit Cancellation Plan and Home and Contents Plan, plus five Premium memberships to gift to friends and family, • Our team can work remotely from as many house sits as they like, and we contribute up to £500 per year towards travel costs to and from sits • Find a rescue pet to join your family and we’ll cover the adoption fees, as well as “pawternity” to help your pet settle into their new home, • SimplyHealth healthcare cash plan, • Bupa Health Insurance and Dental Insurance plan, • Specsavers eyecare scheme, • Weekly virtual yoga sessions, • Optional enrollment onto our Trusted Giving scheme, which includes employee giving via Charities Trust and 2 days paid annual volunteering allowance, • Work fully remotely from anywhere in the world - as long as you follow compliance as a UK tax resident, • Get £200 to spend on home office equipment each year + Macbook and Apple accessories when you start, • Access to Spaces co-working locations across the globe, • We host an all-expenses-paid meetup each quarter and fund team events (remote or in-person) throughout the year, • We cover the costs of personal development resources and have regular time set aside for learning and growth, • Depending on your role within the business, you’ll have the option to customise your work hours to better align with your personal schedule, • 25 days off per year, plus bank holidays and festive closure between Christmas and New Year (36 days + Christmas Day for some roles), • Competitive salary which is reviewed twice a year, • Generous equity package, • Discretionary 10% quarterly bonus scheme, distributed quarterly, • Pension scheme: 5% from you as an employee and 3% from TrustedHousesitters, • £500 recruitment referral bonus If you're ready to join us on our mission to become the most loved pet travel solution, we'd love to hear from you! In your application, please feel free to note which pronouns you use (For example- she/her/hers, he/him/his, they/them/theirs, etc). At the heart of our team are a mix of diverse backgrounds. Here at TrustedHousesitters, we’re committed to the equal opportunities policy throughout the interview process and selection. Offers of employment into TrustedHousesitters are based solely on individual merit, qualifications, and the person's professional suitability. Gender identity, sexual orientation, marital or civil partnership status, colour, race, nationality, ethnic or national origins, religion or beliefs, age, mental or physical disability, medical condition, pregnancy or maternity status, or any other protected characteristics do not enter into our decision-making process.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Founded in 2012, Bitfinex is a digital asset trading platform offering state-of-the-art services for digital currency traders and global liquidity providers. We're on a mission to create the most innovative cryptocurrencies exchange. This is a unique opportunity, a rare window of time at the tipping point of the financial evolution. Much like the early days of the internet, blockchain technology faces complex new challenges and having the best team plays a pivotal role in success. Our team is fully remote and globally distributed to capture the best talent from around the world. So far our company has grown fast and stayed lean to secure its place as a leader in the space. If you get excited about being in an industry that is breaking new ground and have confidence you can conquer the most challenging feats we'll encounter, we want to talk to you. Join us, and help lay the foundation for a decentralized future. Currently looking for: Remote Mobile Engineer - React Native Job description As a Mobile-App Developer, you will be a part of the team that works on the development of the Bitfinex mobile applications. This includes: New Features - Bitfinex continuously strives to create innovative new features in order to provide the most professional trading experience for customers. These are developed and deployed using agile methodologies, to ensure the user experience remains the best in the industry. Scalability - The mobile application must remain effortlessly smooth, responsive, and real-time for customers as the platform continues to scale to accommodate new user growth. Data Visualization - The data we present to our users is the result of tailored algorithms, on top of the incredible amount of data our platform produces daily, and we continue to experiment with new ways to display this most effectively. Design - Build beautiful reactive applications and trading tools. To enjoy this role, you should possess the personal attributes and experience outlined above. On top of this, we expect you to be: Comfortable with high-availability concepts. Highly proficient in JavaScript and ES6+. Thoroughly experienced with React, React-Native (mainly around Expo), Redux and the core principles surrounding these. Familiar with modern front-end pipelines and tools. Experienced with WebSockets, RESTful based APIs. Interested in bringing diverse, innovative applications to life. Interested in modernizing and optimizing different mobile or web applications. Knowledge in native languages (Swift/Kotlin) and familiarity with native build tools (Xcode/Android Studio) is advantageous.

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI. Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you. Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel). You are: We are looking for a product builder with strong execution instincts and a deep understanding of developers. You care about shipping fast, learning from real users, and improving the product continuously, not just writing specs. You think like a founder, are comfortable getting technical (including writing code when it helps you move faster), and thrive in open feedback loops with our community of builders. You partner tightly with engineering and design, contribute clarity and conviction to decision-making, and are energized by working on products that are deeply technical and meaningful to the future of AI. Responsibilities: • Own and ship high-impact features within the Opik product, end to end from definition to launch, • Bring clarity to ambiguous problems and make fast, pragmatic product decisions, • Engage directly with developers and early users to gather feedback and rapidly iterate, • Work closely with engineering and design to drive execution with urgency and clarity, • Monitor adoption and performance of shipped features and use learnings to improve quickly, • Share updates and priorities with the open-source community and internal stakeholders, • 3+ years of Product Management experience, delivering highly successful and innovative products that you're deeply proud of, • Must have design and UX sensibilities, • Must have proven experience building developer tools, • Experience shipping high-quality products from planning to launch to maintenance, • Ability to collaborate with engineers on technical architecture and product implementation, • Ability to communicate product value and opportunities across engineering, marketing, sales, individual users, and enterprise customers, • Proficiency using AI tools Bonus: • Experience training machine learning models or building MLOps / LLMOps tooling, • Experience as a growth PM in the developer tooling space What We Offer: • Competitive base salary - based on proven experience, skills and location., • Competitive benefits package., • Flexible working hours and remote/Hybrid work options., • Opportunities for professional growth and development., • A collaborative and innovative work environment., • The chance to work with cutting-edge technologies and projects., • This role will be located in Europe or Israel working with a global team (large presence in the US, Tel Aviv and Europe), some flexibility with work hours is required. Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.