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Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities Develop and optimize recommendation models for Bybit’s trading products, content, and community. Leverage large-scale behavioral data to understand user interests and improve recommendation performance and user experience. Explore cross-domain transfer learning and cold-start strategies tailored to different business scenarios, improving recommendation effectiveness and coverage across domains. Optimize multi-objective ranking models for CTR, CVR, LTV, and other outcomes. Design approaches to combine ranking objectives and balance clicks, conversions, and long-term value under scenario-specific constraints. Model cross-scenario user behavior sequences, short- and long-term interests, and changes in intent. Build reusable user representations to address domain transfer, sparse feedback, and cold-start challenges. Explore generative recommendation approaches, including semantic IDs and generative candidate generation, and integrate them with discriminative recommendation pipelines. Requirements At least four years of experience developing search, advertising, or recommendation algorithms at a consumer-facing internet company, with a deep understanding of candidate retrieval, ranking, and multi-objective modeling. Strong computer science fundamentals and proficiency in at least one of Python, Java, or C++. Strong software design and coding practices, with a passion for solving challenging technical problems. Strong analytical and logical thinking skills, with the ability to identify problems and opportunities through data. A keen interest in emerging technologies and the ability to approach complex problems with clarity and sound reasoning. Strong business judgment, communication, and collaboration skills, with the ability to translate business needs into effective technical solutions. Preferred Qualifications Experience in search, advertising, or recommendation algorithms at major technology companies such as ByteDance, Alibaba, Tencent, Meituan, Kuaishou, or Xiaohongshu. Experience with multi-objective modeling, short- and long-term user sequence modeling, personalized uplift modeling, or generative modeling. Publications at leading international conferences such as KDD, SIGIR, RecSys, ACL, or NeurIPS. An AI-driven approach, with hands-on experience bringing LLM or agent applications into production for search, advertising, or recommendation use cases. Why Join Us A multi-domain recommendation challenge in fintech: Go beyond a single domain such as video or e-commerce. Build personalization capabilities across trading products, market intelligence, community content, campaigns, and AI-powered investment workflows. Proven business impact with significant room for ML advancement: Our current recommendation system has demonstrated a 71% increase in CTR and a 1,285% increase in conversion rate, with substantial potential for an ML-native upgrade. Work at the intersection of AI and recommendations: Build where traditional recommender systems, generative AI, and LLM agents meet—one of the most active frontiers in engineering. An opportunity to lead, not just follow: Bybit’s combination of trading, content, community, AI, and campaigns creates distinctive technical challenges and opportunities for rapid iteration. Global scale: Serve more than 80 million users across over 200 countries, tackling the real-world complexity of large-scale, real-time systems. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You’ll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience. What You'll Be Doing Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers. Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance. Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent. Collaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products. Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency. Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation. What You'll Need to Thrive You have substantial hands-on experience applying machine learning to real-world problems and a track record of bringing models from development into production; a PhD with relevant applied research experience is equally welcome. You have experience with recommendation systems, ranking, retrieval, personalisation, or closely related ML problems. You can independently turn an ambiguous customer or product problem into a well-scoped ML approach, make sound trade-offs and drive it to a measurable outcome. You are proficient in Python and experienced with modern ML frameworks and large-scale data processing. You understand how to evaluate ML systems rigorously, including offline metrics, experiment design and interpreting online results. You communicate complex technical ideas clearly and work effectively with cross-functional partners. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: United States Workplace: Remote About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s. What you'll do: - Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards. - Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships. - Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time. - Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface. - Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them. - Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended. - Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it. - Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it. What you'll bring: - 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product. - Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it. - A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why. - Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online. - Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines). - Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result. - Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency. - Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints. Compensation: The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Berlin Workplace: Hybrid adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world's smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem. Next-Gen Machine Intelligence for Scalable Discovery & Engagement The Data Science Research team builds foundational ML representations and advanced AI capabilities that enhance both Playtime and adjoe Ads. Operating as a horizontal deep-tech layer, the team leverages advanced AI and deep learning approaches—specifically generative approaches —to deliver critical systems such as high-dimensional user embeddings, general content understanding and sequential recommendation. These frameworks scale adjoe's products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users. The team operates at the intersection of bleeding-edge R&D and high-scale production engineering, acting as the company’s internal science bar raiser and primary consulting layer for complex ML bottlenecks. The stack is optimized for deep learning and heavy data throughput: PyTorch and [Ray/Hugging Face] for training and fine-tuning foundation models, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure for heavy workloads. The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain high-throughput, realtime production environments. Your Mission & Who We Are Looking For: - PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics, or an MSc with extensive industry research, and publications in top-tier venues like SIGIR, KDD, NeurIPS, or ICLR. You've spent 4+ years building large-scale recommender systems in high-throughput environments: AdTech, e-commerce, or social. - You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting multi-stage recommendation pipelines, Generative Retrieval, Deep Ranking, and Re-ranking, serving millions of requests across a stack built on 770 million users' behavioral data. - Deep expertise in PyTorch and large-scale model optimization. You have hands-on experience with high-concurrency optimization, model quantization, and distillation, the engineering side of getting large generative models to run under extreme production constraints, not just in research environments. - Content understanding and embeddings are core to your work. You research and develop information-rich user and ad embeddings using unsupervised and generative approaches, directly improving the quality of predictions across both Playtime and adjoe Ads. - Raises the technical bar around them. You lead architectural debates, mentor junior scientists, and drive the team's research direction without needing a roadmap handed to you. 🌎 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: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities 1. Recommendation Engine & Full-Pipeline Development Multi-stage Engine Development: Own the development and refactoring of high-concurrency, low-latency recommendation serving engines, powering the full pipeline of multi-channel recall (two-tower/collaborative filtering/ANN vector retrieval) → coarse ranking → fine ranking → re-ranking. Compute Tiering & Strategy Engine: Implement dynamic compute trimming and degradation mechanisms for dynamic Ul personalization and global strategy dispatch, ensuring core engine stability under extreme traffic spikes. 2. Real-time Feature Engineering & Data Consistency Governance Real-time Feature Pipeline: Build high-throughput, low-latency real-time feature streams on Kafka/Flink, enabling minute-level/second-level user pehavioral feature updates and dynamic sliding-window aggregations. Feature Store: Contribute to the development of unified online/offline feature storage with stream-batch convergence architecture; deeply govern industrial-grade pain points such as "online/offline feature inconsistency" and "feature time-travel leakage," systematically improving online/offline feature consistency. 3. Large-scale Retrieval & Vector Infrastructure Optimization Vector Retrieval System: Own the construction and optimization of large-scale vector retrieval systems (Faiss/Milvus/NSW) supporting candidate pools from tens of thousands to milions, lead index structure parameter tuning, achieving P99 retrieval latency < 100ms. Multi-source Heterogeneous Indexing: Build unified Embedding Pipelines and high-performance inverted index services covering trading products, news, KOL content, on-chain signals, and other heterogeneous data sources. 4. High-performance Model Inference & Compute Optimization Deep Model Engineering: Own high-performance online deployment and operator optimization of complex deep ranking models (e.g., DIN/SIM sequential models, MMoE/PLE multi-objective deep models). Inference Graph & Compute Governance: Solve compute explosion in multi-task/multi-objective online inference through inference optimization (quantization, graph optimization, batching strategies) - targeting fine-ranking P99 latency < 200ms. 5. System Performance, Global Observability & Experimentation Infrastructure High Availability & SLO: Ensure global recommendation service P99 latency < 200ms and system availability > 99.9%; write comprehensive overload protection, thread isolation, and disaster recovery degradation code. Global Distributed Tracing: In complex multi-region/multi-site/multi-language cross-border IDC environments, build and maintain end-to-end distributed tracing and monitoring systems (e.g.,Jaeger/Prometheus), establishing minute-level root cause attribution and fault localization mechanisms. Experimentation Platform Engineering: Contribute to A/B experiment traffic-splitting platform upgrades, engineering CUPED variance reduction and sequential testing mechanisms to reduce sample size requirements and accelerate algorithm iteration pipelines. Requirements Industrial-grade Hands-on Experience: 5+ years of recommendation system engineering at consumer-scale internet companies; must have deeply participated in or led architecture refactoring or launches of realtime recommendation systems serving tens of millions of users at scale. Proven experience building recommendation systems from 0→1 (not just maintaining mature systems) is strongly preferred. Mastery of Engineering Foundations: Exceptionally solid low-level CS fundamentals; proficient in at least one of Go/Java/C++ (Go preferred given current stack; C++ experience a plus for future engine optimization); familiar with PyTorch/TensorFlow model online inference and deployment optimization. Deep Expertise in Big Data & Retrieval: Hands-on with Spark/Flink/Kafka stack, with real experience solving stream computing latency and data backlog issues; proficient in Milvus/Faiss cluster deployment and tuning. Engineering Perspective on Algorithms: Deep understanding of computational complexity and online bottlenecks of core algorithms (collaborative filtering, two-tower recall, multi-objective optimization MMoE/PLE); ability to interface smoothly with algorithm teams for high-quality, efficient engineering translation. Excellent System Design Capability: Proven experience in actual development and core module design of recommendation platforms, feature platforms, experimentation platforms, or high-performance RPC frameworks at top-tier companies. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Now we look for a Data Scientist to join our ML team Job Responsibilities Search & Retrieval Develop and improve retrieval pipelines for large-scale production search systems. Work on candidate generation, query processing, matching, filtering, and retrieval strategies. Improve search relevance, result coverage, and overall SERP quality. Analyse failed searches, irrelevant results, zero-result queries, and other search-quality issues. Explore lexical, semantic, behavioural, hybrid, and vector search approaches. Ranking & Relevance Build, train, and optimise ranking models for search and recommendation systems. Develop learning-to-rank solutions using behavioural, content-based, contextual, and real-time features. Design ranking features based on clicks, conversions, popularity, freshness, availability, and user behaviour. Evaluate ranking quality using Precision, Recall, NDCG, MAP, MRR, and related relevance metrics. Optimise models for low-latency inference and investigate relevance degradation, bias, and feedback loops. Recommendation Systems Develop recommendation models and candidate-generation strategies for personalised and non-personalised scenarios. Build recall and ranking stages for multi-stage recommendation pipelines. Work on related-item, complementary-item, next-action, and behavioural recommendation use cases. Develop user, item, session, and contextual representations. Balance relevance, diversity, novelty, coverage, and business constraints. Experimentation & Evaluation Design and run offline and online experiments for search, ranking, and recommendation improvements. Build evaluation frameworks that connect model quality with product and business outcomes. Design and analyse A/B tests using CTR, conversion, engagement, retention, and revenue-related metrics. Create reproducible pipelines for data preparation, model training, evaluation, and comparison. Evaluate model robustness across traffic segments, query groups, user cohorts, and edge cases. ML Pipelines & Collaboration Build end-to-end ML pipelines for feature generation, training, validation, deployment, and monitoring. Work with high-load, real-time, and low-latency production systems. Process large datasets using Python, SQL, batch pipelines, streaming systems, and Kafka. Collaborate with product, backend, data engineering, and MLOps teams to productionise ML solutions. Communicate technical decisions, experiment results, and trade-offs while contributing to ML best practices. You’ll thrive here if you have Strong hands-on experience building production search, ranking, or recommendation systems. Strong Python and SQL skills for machine learning, data processing, and analytical queries. Practical experience with learning-to-rank, candidate retrieval, search relevance, or recommender-system modelling. Experience building and evaluating multi-stage retrieval and ranking pipelines. Strong understanding of search and recommendation metrics, including Precision, Recall, NDCG, MAP, MRR, CTR, and conversion. Experience with feature engineering and behavioural data such as impressions, clicks, sessions, and conversions. Experience with ML libraries such as scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, or TensorFlow. Experience working with large-scale production systems, distributed data processing, analytical databases, and streaming platforms. Strong understanding of experimentation and A/B testing, with the ability to independently build, and validate ML solutions. That can be a plus: Experience with Elasticsearch, OpenSearch, Solr, Lucene, or another search-engine stack. Experience with vector databases, approximate nearest neighbour search, and hybrid lexical-semantic retrieval. Experience with query understanding, classification, spell correction, synonyms, or query expansion. Experience with DSSM, two-tower models, BERT-based ranking, cross-encoders, or similar neural architectures. Experience with large-scale data and ML platforms such as Airflow, MLflow Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (40 min); Technical interview (1.5 hour); Final interview (45 min).

Location: United States What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Remote or Mississauga Workplace: remote Scaled Customer Engagement (SCE) is a small, high-impact team within Digital Customer Success that delivers one-to-many engagements for PointClickCare customers across all our market segments in Senior Care and Acute & Payer. The team works both remotely and in a hybrid model, partnering closely with CSMs, Marketing, Product, and Support. SCE owns programs such as the Customer Success Monthly Digests, Digital Customer Success Reviews, and Gainsight Journey Orchestrator and Pendo Orchestrate programs (for adoption, retention, and CSM-led events), giving every customer—not only the largest—a consistent, data-informed path to value. Working on our team provides a unique opportunity to help build a scaled CS motion, including automation and AI, at one of healthcare's leading platforms.    The Scaled Customer Engagement Manager drives adoption, retention, and value realization for a large customer base through scalable, data-informed, one-to-many programs. Applying solid knowledge of PCC solutions and the industry, the SCE Manager customizes established strategies into digital journeys, communications, and events, and partners cross-functionally to execute them. The role exists so that every PointClickCare customer receives proactive, consistent engagement—extending the reach of the CSM team and contributing to NRR and controllable-churn goals.    Work Location:Remote or hybrid, with periodic in-person collaboration.   Key Responsibilities Deliver scaled programs end to end: Owns the build and delivery of assigned digital programs (e.g., segment-specific Customer Success Monthly Digests, onboarding/adoption journeys, renewal and risk-mitigation campaigns, Digital Customer Success Reviews) using Gainsight Journey Orchestrator and Pendo Orchestrate; adapts content to customer segment, maturity, and use case. Use data to target and optimize: Analyzes usage, health, and engagement data to identify trends or red flags; uses segmentation and automation to trigger the right engagement at the right time; A/B tests and adjusts content; builds custom dashboards to track program KPIs. Engage customers one-to-many: Helps plan and present digital customer events (user groups, webinars, office hours, and training sessions); creates and maintains digital content (articles, guides, videos) that explains core workflows and solution value in customer terms. Collaborate cross-functionally and advocate for customers: Coordinates with CSMs, Marketing, Product, Support, and Sales to align messaging and timing; shares customer feedback and themes back to Product and Marketing; documents program objectives, outcomes, and next steps. Continuous improvement: Experiments with new approaches on a small scale (including AI-assisted content and personalization), shares results with the team, and recommends better practices or tools that streamline workflows. Minimum 3+ years in Customer Success, Account Management, Customer Marketing, Customer Education, or a related customer-facing SaaS role Experience designing or executing one-to-many programs (email campaigns, webinars, in-app messaging, or community) Strong written communication; able to tailor messages to different audiences and roles Working proficiency with CRM / CS platforms (Salesforce, Gainsight, or similar) and Excel-based data analysis Ability to interpret product usage and engagement data to drive action Strong organization and project management across multiple concurrent programs and deadlines Excellent presentation skills Preferred Hands-on experience with Gainsight Journey Orchestrator, Pendo Orchestrate, or similar digital engagement tools Experience in healthcare technology, post-acute, senior living, or acute/payer markets Experience using AI tools to personalize communications and scale engagement Basic HTML/email-builder or design skills

Location: Washington, Oil Change International Workplace: remote Oil Change International is looking for a senior foundation fundraiser with existing relationships among climate and energy funders, for a six-month contract with an extension possible. The contract starts in mid-January 2027, with some flexibility on the start date. This role will work to present proposals to existing funders of our work and will introduce OCI to foundations we don't yet work with and help us secure new foundation funding for our work. We're looking for someone who can start making calls and setting up meetings from their first week. OCI's foundation fundraising strategy is held by the Executive Director and the Managing Director of Organizational Strategy, and this role will work closely with both. Type: Independent contract. Full time, with part time considered for the right candidate. Duration: Six months from mid-January 2027, with the option to extend (some flexibility on start date). Time Zone: Preference for being based in Europe/UK but with the ability to have regular overlap with US Pacific working hours required (up to two days a week) Travel: No travel is required. There may be funder meetings or convenings worth attending, and agreed travel expenses will be covered. How to Apply: To apply for this role please send your resume and a cover letter explaining why you are applying for the role and how your experience fits the criteria. Please combine your cover letter and resume into a single document and attach it in the #2 Profile section of the application form. Responsibilities Funder Outreach and Relationship Development (40%) Introduce OCI to foundations new to us, focusing on European and UK funders of climate and energy work, drawing on your own network and relationships; Set up and lead calls and meetings with program officers, bringing in OCI's Executive Director, Managing Director of Organizational Strategy, and Program Directors where their expertise and relationships will help; Conduct research on prospective funders and make recommendations on which to prioritize; Follow up on conversations to secure invitations to propose, and keep relationships moving between meetings; Where it's worthwhile and you're able to, represent OCI at funder meetings and convenings; and Track outreach, contacts, and next steps in OCI's Salesforce database. Materials Development, Proposals and Reporting (20%) Work with program staff and the Development team to draft and submit concept notes, letters of inquiry, and proposals to new funders; Adapt OCI's existing proposal language, including our general support proposal, for new funders and their priorities; and Create materials and collateral for funder meetings; Coordinate and submit funding proposals and reports on funder portals as needed. Working Group Coordination (20%) Help coordinate OCI's foundation fundraising working groups, including those focused on EU, UK, US, and other foundations, by setting agendas, following up on next steps, and keeping the groups moving; Prepare staff for funder outreach by leading check-in calls ahead of key meetings; Coordinate outreach with OCI staff who hold existing funder relationships; and Help keep a calendar of funder deadlines and in-person opportunities for staff outreach. Foundation Strategy Support (15%) Support the Executive Director and Managing Director of Organizational Strategy in developing and refining OCI's foundation fundraising strategy; Advise on the European and UK funding landscape, including which funders, priorities, and timelines fit OCI's work; Make recommendations on how OCI can more systematically cultivate program officers and keep them updated on our work; and Help track progress against foundation fundraising goals, and flag gaps and opportunities early. Administration (5%) Participate constructively in Development team meetings and check-ins; and Respond to administrative requests in a timely and courteous manner, including submitting invoices and expense reports by established deadlines. Required Qualifications, Skills, and Abilities At least eight years of experience in foundation fundraising, with a track record of securing significant grants; Existing relationships with foundations outside the US, preferably including Europe and the UK, that fund climate and energy work; Experience opening new funder relationships and turning first conversations into asks, proposals and grants; Excellent writing and editing in English, and strong verbal and interpersonal communication skills; Ability to work independently and get started quickly with little ramp-up time; Commitment to the mission of Oil Change International and a collaborative, team-oriented work style; and Sensitivity to issues of privilege, class, and race, and dedication to incorporating principles of justice into organizational work and alignment with OCI's values. Desired Qualifications, Skills, and Abilities: Experience with US foundations would be a plus; Experience working at a climate, environment, or social justice oriented non-profit; Familiarity with climate and energy policy, specifically supply-side fossil fuel policy; Experience with Salesforce or a similar CRM; and Preference for being based in Europe or the UK.

Location: Oakland, CA, United States * Fraud and Phishing Warning * If you are reading this away from the WeVote site, please apply directly via our volunteering portal/ATS at https://wevote.applytojob.com/apply. Do not apply via any other job portals, aggregators, or sites, as your information may not be secure, or the role may no longer be accepting applications. Thank you! ⚠️ This is a 100% unpaid volunteer position. There is no salary, stipend, benefits, or promise of future paid employment. About WeVote WeVote is a nonpartisan, volunteer-powered nonprofit using technology to help voters make informed decisions and participate in democracy more easily. We are a Fast Forward nonprofit technology grantee and a fully remote organization made up of 120+ volunteers across the U.S. We build open-source tools used by millions of voters, and we do it with a distributed team of people who care deeply about impact, collaboration, and sustainable volunteering. What Makes This Role Special Work with volunteers from all backgrounds who share your commitment to fair, accessible elections. Learn from experienced mentors through weekly team meetings and regular check‑ins. Make real decisions about who joins our team — your voice matters. (Our recent recruiter helped fill 50+ volunteer roles .) Recruit volunteers across many areas, from high school students to experienced professionals. Build skills that transfer directly to paid recruiting positions. What You’ll Do Your main responsibilities Screen applications and conduct video interviews with potential volunteers. Guide candidates from their first expression of interest through joining our team. Partner with our Talent Acquisition Operations team to create and publish new roles. Share WeVote’s mission and help candidates understand how they can contribute. Suggest improvements to make our recruiting process more welcoming and effective. Work with our team to create volunteer opportunities for people with different skill sets. Skills you’ll develop Learn to use recruiting software and conduct remote interviews. Practice fairly assessing candidates with different backgrounds and skills. Gain experience recruiting for both technical and community‑focused roles. Understand how mission‑driven organizations find and welcome talent. Who We’re Looking For Recruiting professionals with 1+ years of experience , OR recent graduates interested in launching a talent acquisition career. Passionate about using technology to strengthen American democracy. Exceptional written and verbal communication skills. 5–6 hours weekly availability , including one hour for weekly team meetings. Committed to nonpartisan civic engagement and voter empowerment. Located in the United States (required) and comfortable working remotely. We especially value Experience volunteering or organizing in your community (in any capacity). Interest in technology that serves everyone, not just profit. Personal understanding of barriers people face in civic participation. Experience working with people from different backgrounds and communities. What You’ll Gain Professional development •     Real recruiting experience you can highlight in future job applications. •     Mentorship from professionals who invest in your growth. •     Strong recommendations and concrete examples of your contributions. •     Network connections in nonprofit, civic, and technology communities. Personal impact •     Direct contribution to tools that help millions of voters access information. •     Experience building inclusive, welcoming communities. •     Skills in connecting people with meaningful opportunities. •     A role in a transparent, community‑driven movement for democracy. Community connection •     Join volunteers from many different professional and personal backgrounds. •     Monthly opportunities to connect with contributors across the country. •     Exposure to teams working on technology, design, outreach, and advocacy. Our Commitment to Inclusion & Accessibility WeVote is fully volunteer‑driven, and we are proud of our grassroots model. We welcome volunteers of all races, ethnicities, genders, sexual orientations, abilities, ages, income levels, and political perspectives — everyone committed to fair, accessible elections. Whether you’re new to this work or bring years of experience, there’s a place for you. We know that unpaid roles present barriers. We offer flexible hours and encourage open discussion of needed accommodations for technology, time, or work style. If you need support to participate fully, please let us know — we’re committed to working with you. How to Apply Send your resume and a brief note or cover letter describing: •     Why you’re interested in WeVote and our mission. •     A bit about yourself, your background, or interests. •     Any questions you have for us. Don’t worry if your background doesn’t match everything we’ve listed — we value diverse experiences and perspectives. Whether you’re starting your career, changing directions, or looking to use your experience for social good, we want to hear from you.

Location: Oakland, CA, United States Help Strengthen Democracy Through Civic Technology WeVote is a nonpartisan, nonprofit civic technology organization powered by more than 250 volunteers across the United States. Our mission is to help voters make informed decisions through accessible, technology-driven voter education tools. We are seeking an experienced Financial Controller to help oversee and strengthen our financial operations. This is an excellent opportunity for a finance professional who wants to apply their expertise to a meaningful cause while collaborating with a high-impact national volunteer team. Time Commitment: 3-5+ hours per week Location: Remote (U.S.) Type: Volunteer Role Fraud & Phishing Warning Please apply directly through the WeVote volunteer application portal: https://wevote.applytojob.com/apply For your security, do not submit applications through third-party job boards or unofficial websites. Applications are only accepted through our official volunteer applicant tracking system. About WeVote WeVote is a nonpartisan, nonprofit organization that leverages technology to increase voter participation and civic engagement. As a Fast Forward-supported nonprofit technology organization, we develop tools that help voters access reliable election information and make confident voting decisions. Learn more at www.WeVote.US . What You'll Do As a Volunteer Financial Controller, you will help ensure financial accuracy, transparency, and sustainability across the organization by: Preparing monthly, quarterly, and annual financial reports, including income statements, balance sheets, and cash flow statements Overseeing accounts payable, accounts receivable, reconciliations, expense tracking, and general ledger activities Supporting annual budgeting, forecasting, and financial planning processes Monitoring cash flow, liquidity, and working capital requirements Helping improve financial systems, reporting tools, and process automation Developing financial dashboards, metrics, and reporting packages for leadership and board stakeholders Supporting nonprofit financial compliance and tax filing requirements Recommending financial controls, policies, and best practices to strengthen operational effectiveness What We're Looking For Required Qualifications Professional experience in accounting, finance, controllership, or financial management Strong understanding of financial reporting, budgeting, and forecasting Experience with accounting systems and financial software platforms Excellent analytical, organizational, and communication skills Ability to work independently in a remote, collaborative environment Commitment to WeVote's mission of strengthening civic participation and voter engagement Availability of at least 3 hours per week during core collaboration hours (Monday-Friday, 8:00 AM-6:00 PM ET) Preferred Qualifications CPA, CMA, MBA, or equivalent financial credentials Experience with nonprofit accounting or nonprofit financial management Experience presenting financial information to executive leadership or boards of directors Knowledge of internal controls, audits, and financial compliance practices Why Volunteer With WeVote? Make a direct impact on voter engagement and democratic participation Apply your professional expertise to a meaningful national mission Collaborate with talented volunteers across technology, operations, communications, and civic engagement Expand your leadership experience and professional network Gain exposure to nonprofit leadership and governance * Fraud and phishing warning * Please apply directly via our volunteering portal/ATS at https://wevote.applytojob.com/apply. Do not apply via any other job portals, aggregators, or sites, as your information may not be secure, or the role may no longer be accepting applications. Thank you!!

Location: Oakland, CA, United States WeVote Political Data Intern (Volunteer Position) Location: Remote within the US About WeVote WeVote is a nonpartisan get-out-the-vote nonprofit startup and a celebrated Fast Forward nonprofit technology grantee. WeVote is a movement of over 180 passionate volunteers (starting with the founders) who are building open-source mobile technologies that touch and mobilize millions of voters on Election Day. We observe that many voters are busy, distracted, and impatient. We have a goal of providing a complete voting experience in 8 minutes, including the download of our app ("WeVote Ballot Guide, @WeVote"). More information is at WeVote.US . See Twitter @WeVote. We are a 100% volunteer and remote organization. A bit more about the Spring 2026/27 Intern Cohort We have a strong history of Internship cohorts (200+ interns over the past four years). We have built 8 teams of Interns, led by experienced professionals who have a strong connection to academia and our mission. Our interns learn about the current landscape of candidates running for office, politicians in office, and endorsers who support these candidates. Beyond political research, we are always looking to offer ways you can build your professional skills, and grow as a person in a way that leads to your future success. What You’ll Do Research and update political candidate information for several U.S. states (you get to choose regions you want to learn about from the whole country) Track candidate declarations and ballot measures Collect voter guides and endorsements from a range of organizations Manage and input data into our open-source platforms Spot-check political data nationwide and research reported issues Support marketing with relevant political data insights Requirements Interest in civic engagement, elections, or U.S. politics Detail-oriented, inquisitive, and proactive learner Willingness to collaborate remotely with a diverse volunteer team SPRING INTERNS: Commitment of 8 hours/week for 10-12 weeks during Spring (incl. 1 hour team meeting M–F, 8am–5pm PT) Alignment with WeVote’s nonpartisan mission & values (shared in process) Access to device/internet; we’re open to discussing access needs Be located in the US during the academic term What You’ll Gain Resume-worthy experience in political data, civic tech, and nonprofit work Growing network of civically engaged peers and mentors Personalized letter of recommendation after successful completion Direct impact on equitable voter access and information Our Commitment to Inclusion & Accessibility WeVote is fully volunteer-driven, and we are proud of our grassroots model. We welcome volunteers of all races, ethnicities, genders, sexual orientations, abilities, ages, income levels, and political perspectives—everyone committed to fair, accessible elections. Whether you’re new or bring years of experience, there’s a place for you. We know that unpaid roles present barriers. We offer flexible hours and encourage open discussion of needed accommodations for technology, time, or work style. How to Apply Send your resume and a brief note or cover letter describing: Why you’re interested in WeVote and our mission and how being an intern will help you on your career path A bit about yourself, your background or interests Any questions you have for us * Fraud and phishing warning * Please apply directly via our volunteering portal/ATS at https://wevote.applytojob.com/apply. Do not apply via any other job portals, aggregators, or sites, as your information may not be secure, or the role may no longer be accepting applications. Thank you

Location: Oakland, CA, United States * Fraud and phishing warning * Please apply directly via our volunteering portal/ATS at https://wevote.applytojob.com/apply. Do not apply via any other job portals, aggregators, or sites, as your information may not be secure, or the role may no longer be accepting applications. Thank you . Join the WeVote Movement! WeVote is seeking a dynamic IT System Support Technician to join our passionate team of changemakers in a meaningful volunteer role (~5 hours per week). Please note, this is an unpaid volunteer position for national non-profit organization. About WeVote WeVote is a nonpartisan nonprofit startup on a mission to strengthen American democracy through innovative technology. As a celebrated Fast Forward nonprofit technology grantee , we're building something special – a movement of 250+ dedicated volunteers creating open-source mobile solutions that reach millions of voters nationwide. Our challenge? Modern voters are busy, distracted, and pressed for time. Our solution? A streamlined voting experience that takes just 8 minutes, delivered through the downloading of our app. We're 100% volunteer-powered and fully remote, proving that passionate people can create extraordinary impact. For more information, view https://WeVote.US . The Role of the IT System Support Technician Within WeVote, we support all of our initiatives with custom software as well as ~15 other software systems to support our mission. We’re looking for volunteers to help manage these systems and our volunteer users.  Our user base is approximately 250 volunteers.  The IT system support technicians will aid with giving our volunteers new accounts, resetting passwords, changing permissions and updating , as well as answering questions and administering our technical solutions. What You'll Accomplish Technical support for volunteer user base, primarily using Slack and email Oversee and manage the organization's technology systems and infrastructure, performing administrative tasks as necessary Assist with developing and implementing IT policies and procedures to ensure business continuity and data security Work with IT team members and technical leadership to ensure efficient and effective operation of the organization’s technical systems Recommend tools/systems to address organization’s challenges, staying up to date on technology advancements Monitor and maintain the organization's technology systems to ensure optimal performance Your Background 5+ years IT technical support experience, preferably in the social impact space Excellent communication and problem solving skills Technical training experience, preferably with non-technical users Google workspace experience System implementation experience Onboarding/offboarding employee experience Essential Requirements Availability: At least 5 hours each week during our core team hours M-F 9 a.m. - 6 p.m PST with the ability to work 1-2 hours during Pacific Time overlap. Must be available to attend the team meeting each week. Why This Role Matters This isn't just volunteer work – it's experience that makes a real difference. You'll develop advanced technical skills, work with cutting-edge civic technology, and help millions of Americans participate more effectively in democracy. Plus, you'll join a network of passionate professionals committed to positive change. How to apply: Submit your resume (at https://wevote.applytojob.com/apply/) and include a brief note/cover letter to why you are interested in WeVote and helping our mission.

Location: Remote or In Office Workplace: remote Scaled Customer Engagement (SCE) is a small, high-impact team within Digital Customer Success that delivers one-to-many engagements for PointClickCare customers across all our market segments in Senior Care and Acute & Payer. The team works both remotely and in a hybrid model, partnering closely with CSMs, Marketing, Product, and Support. SCE owns programs such as the Customer Success Monthly Digests, Digital Customer Success Reviews, and Gainsight Journey Orchestrator and Pendo Orchestrate programs (for adoption, retention, and CSM-led events), giving every customer—not only the largest—a consistent, data-informed path to value. Working on our team provides a unique opportunity to help build a scaled CS motion, including automation and AI, at one of healthcare's leading platforms.    The Scaled Customer Engagement Manager drives adoption, retention, and value realization for a large customer base through scalable, data-informed, one-to-many programs. Applying solid knowledge of PCC solutions and the industry, the SCE Manager customizes established strategies into digital journeys, communications, and events, and partners cross-functionally to execute them. The role exists so that every PointClickCare customer receives proactive, consistent engagement—extending the reach of the CSM team and contributing to NRR and controllable-churn goals.    Work Location:Remote or hybrid, with periodic in-person collaboration.   Key Responsibilities Deliver scaled programs end to end: Owns the build and delivery of assigned digital programs (e.g., segment-specific Customer Success Monthly Digests, onboarding/adoption journeys, renewal and risk-mitigation campaigns, Digital Customer Success Reviews) using Gainsight Journey Orchestrator and Pendo Orchestrate; adapts content to customer segment, maturity, and use case. Use data to target and optimize: Analyzes usage, health, and engagement data to identify trends or red flags; uses segmentation and automation to trigger the right engagement at the right time; A/B tests and adjusts content; builds custom dashboards to track program KPIs. Engage customers one-to-many: Helps plan and present digital customer events (user groups, webinars, office hours, and training sessions); creates and maintains digital content (articles, guides, videos) that explains core workflows and solution value in customer terms. Collaborate cross-functionally and advocate for customers: Coordinates with CSMs, Marketing, Product, Support, and Sales to align messaging and timing; shares customer feedback and themes back to Product and Marketing; documents program objectives, outcomes, and next steps. Continuous improvement: Experiments with new approaches on a small scale (including AI-assisted content and personalization), shares results with the team, and recommends better practices or tools that streamline workflows. Minimum 3+ years in Customer Success, Account Management, Customer Marketing, Customer Education, or a related customer-facing SaaS role Experience designing or executing one-to-many programs (email campaigns, webinars, in-app messaging, or community) Strong written communication; able to tailor messages to different audiences and roles Working proficiency with CRM / CS platforms (Salesforce, Gainsight, or similar) and Excel-based data analysis Ability to interpret product usage and engagement data to drive action Strong organization and project management across multiple concurrent programs and deadlines Excellent presentation skills Preferred Hands-on experience with Gainsight Journey Orchestrator, Pendo Orchestrate, or similar digital engagement tools Experience in healthcare technology, post-acute, senior living, or acute/payer markets Experience using AI tools to personalize communications and scale engagement Basic HTML/email-builder or design skills

Location: Astana, Kazakhstan Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We are looking for a Senior SEO Specialist to own and implement our SEO strategy, improve search visibility, and drive organic growth. You will work closely with Content and Engineering, combining strategic thinking with hands-on execution. What You Will Do Develop and execute an SEO strategy, prioritizing opportunities for organic growth. Conduct technical audits and work with developers to improve crawling, indexing, and website performance. Research keywords and competitors, optimize existing pages, and prepare recommendations for new content. Plan link building and outreach campaigns. Track SEO performance, investigate traffic changes, and report on results. What We Are Looking For Proven SEO experience with measurable organic growth results. Strong knowledge of technical SEO, content optimization, and link building. Hands-on experience with Google Search Console, GA4, Screaming Frog, and Ahrefs. Ability to prioritize tasks, work independently, and collaborate with content and engineering teams. Professional working proficiency in English; Russian is a plus Hiring Process HR Screening (30 min) HM Interview (30 min) Case Task (1-3 hours) CEO Interview (30 min) 💼 Explore our hiring process What We Offer Please note that this is a fully remote contract role. B2B cooperation only – you will work with us as an independent contractor operating through your own legal business entity (e.g., sole proprietorship, limited company, or equivalent). The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Responsibilities: — Find vehicles through auctions, dealers and exporter networks. — Assess vehicle condition, repair needs and resale potential. — Calculate total costs and recommend a maximum buying price. — Coordinate imports, repairs, transport and preparation for sale. — Manage listings, buyer follow-up and local handover arrangements. — Track costs, progress and profit for each vehicle. Requirements: — Experience in used-car buying, vehicle appraisal, automotive purchasing or vehicle trading. — Practical knowledge of mechanical issues, accident damage and repair costs. — Ability to interpret auction sheets and recognize risky purchases. — Strong commercial judgement, organization and communication skills. — Confidence working independently with spreadsheets and online tools. — Japanese auction experience is highly valued. — Australian import knowledge is an advantage. — Japanese fluency is helpful but not essential if you can reliably interpret and verify vehicle information. Benefits: — Full-time work from home in the Philippines. — Fixed monthly pay of 1,300 – 1,500 AUD, depending on experience. — Commission equal to 5% of realized net profit per qualifying completed vehicle sale, subject to agreed terms. — Opportunity to help build and grow an international vehicle trading operation. — Agreed availability during Australian and Japanese business hours is required.

Responsibilities: — Oversee the overall recruitment operations and ensure timely fulfillment of manpower requirements. — Coordinate with department heads and hiring managers regarding current and future staffing needs. — Establish recruitment priorities and monitor the progress of all open vacancies. — Ensure proper delegation of tasks and accountability within the recruitment team. — Monitor recruitment performance, productivity, and achievement of hiring targets. — Review recruitment reports, hiring metrics, and vacancy updates. — Identify recruitment challenges and implement solutions to improve hiring efficiency. — Develop and implement effective sourcing and recruitment strategies through partnerships with schools, job fair organizers, PESO offices, and other relevant organizations. — Coordinate with management regarding salary recommendations and market benchmarking. — Handle escalated recruitment concerns, candidate negotiations, and hiring manager feedback. — Ensure proper use and maintenance of recruitment platforms, trackers, and applicant databases. — Review and improve recruitment processes, procedures, and documentation. — Ensure compliance with company recruitment policies and applicable labor regulations. — Provide coaching, guidance, and performance evaluations to recruitment team members. — Oversee and facilitate weekly HR meetings to discuss recruitment updates, manpower requirements, pending concerns, and department priorities. — Report recruitment progress, hiring challenges, team performance, and recommendations to the Chief People Officer/ HR Manager. — Ensure that action items and concerns raised during HR meetings are properly monitored and addressed. — Follow team and/or client’s proper procedures, policies, and methodologies as instructed. — Perform other related duties as necessary or assigned. Requirements: — BPO Healthcare experience is preferable but not required. — Bachelor's degree in Human Resource Management, Psychology, Business Administration, or a related field. — At least 3–5 years of recruitment experience, with at least 2 years in a supervisory or leadership role and volume hiring experience. — Proven experience managing end-to-end recruitment operations, manpower planning, and hiring targets. — Strong knowledge of recruitment strategies, sourcing channels, and talent acquisition best practices. — Experience handling recruitment reports, hiring metrics, and applicant tracking systems (ATS). — Excellent leadership, team management, coaching, and decision-making skills. — Strong communication, negotiation, and stakeholder management skills. — Knowledge of Philippine labor laws and recruitment compliance. — Ability to manage multiple priorities and meet hiring deadlines in a fast-paced environment. Benefits: — Company provided equipment / PC set. — Php 1,000 Rice Allowance. — Php 1,000 monthly bonus upon regularization. — HMO upon regularization + 1 Free Dependent. — Company equipment/computer is provided. — Maternity & Paternity Leave. — Paid Holidays. — Paid Vacation Leave. — Paid Sick Leave. — Government Contribution (SSS, Pag-ibig, Philhealth). — Night Shift Differential Pay. — Bereavement Leave. — 13th Month Pay.