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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. About the Role Hybrid (3 days per week in the London office required) Individual contributor role Fraud is constantly evolving. As our business grows, so do the ways bad actors seek to exploit our products, promotions, and operations. As the Senior Strategy & Operations Manager for Emerging Fraud & Abuse, you'll lead the discovery, investigation, and mitigation of new and evolving abuse vectors across our platform. Your mission is to identify risks before they become systemic, working across Product, Engineering, Data Science, Operations, Legal, and Policy to design scalable solutions that protect our customers, partners, and business. This isn't a role focused on running existing fraud programmes. It's about identifying what's next. You'll combine deep analytical thinking with strategic problem solving to uncover emerging threats, quantify business impact, influence product strategy, and build new controls that keep us ahead of increasingly sophisticated fraudsters. If you enjoy solving ambiguous problems, following the data, and building solutions where no playbook exists, we'd love to hear from you. What You'll Do Identify Emerging Abuse Proactively identify new fraud patterns, abuse trends, and vulnerabilities across our products, customer journeys, and operational processes. Investigate anomalies, understand attacker behaviours, and translate observations into actionable mitigation strategies. Continuously scan for evolving risks, whether driven by organised fraud, policy loopholes, technological change, or new product launches. Build the Strategy Define the roadmap for emerging fraud prevention across the business. Prioritise risks based on customer impact, financial exposure, operational complexity, and strategic importance. Develop business cases that influence investment in tooling, automation, machine learning, and product improvements. Turn Insights into Action Lead complex investigations to understand how abuse occurs and where existing controls can be strengthened. Partner with Product, Engineering, and Data Science to design scalable prevention mechanisms rather than tactical fixes. Establish metrics that measure both emerging risk and the effectiveness of mitigation strategies. Drive Cross-Functional Execution Act as the central point of coordination between Fraud, Product, Engineering, Trust & Safety, Customer Operations, Legal, Finance, and Data Science. Influence roadmaps to ensure fraud prevention is embedded into product development from the earliest stages. Support major product launches by identifying potential abuse scenarios and recommending preventative controls. Build Organisational Capability Develop frameworks for identifying, prioritising, and responding to emerging threats. Improve how intelligence is shared across teams to ensure new attack patterns are detected and mitigated quickly. Help foster a culture of proactive fraud prevention across the organisation. What We're Looking For We're looking for someone who thrives in ambiguity and enjoys solving complex, high-impact business problems. You'll likely come from fraud, trust & safety, cybersecurity, payments, marketplaces, fintech, consulting, or another analytical environment where you've been responsible for identifying and solving new risks. You'll bring: Experience investigating complex fraud, abuse, or operational risk problems Strong analytical skills with SQL and the ability to work comfortably with large datasets A structured approach to solving ambiguous problems with limited information Experience influencing Product, Engineering, and Data Science teams without direct authority The ability to translate technical findings into clear business recommendations Strong commercial judgement and an understanding of balancing customer experience with risk mitigation Experience in experimentation, machine learning, fraud detection, marketplace integrity, or trust and safety is advantageous but not essential You'll thrive here if you... Love solving problems that don't have an obvious answer Are naturally curious and enjoy uncovering hidden patterns in data Think like both an investigator and a strategist Can connect technical detail with commercial impact Influence through evidence rather than hierarchy Stay ahead of emerging technologies and evolving fraud techniques 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 .

Задачи и требования: — Классический ML на табличных данных: бустинги (CatBoost/XGBoost/LightGBM), feature engineering, работа с признаками и метриками, валидация — Python и SQL на продвинутом уровне (не только ноутбуки) — Понимание статистики, умение обосновать выбор модели и метрики Плюсом будет: — Опыт в графовом ML: GNN, graph embeddings, link prediction, PyG/DGL/NetworkX — Опыт в смежных направлениях: сетевой анализ, антифрод, рекомендации, маршрутизация — Работа с пространственными данными: OSM, PostGIS, H3/geohash, дорожные графы

Задачи: — Получать задачи от внутренних заказчиков и погружаться в их бизнес-процессы. — Выявлять, какие процессы можно и целесообразно автоматизировать с помощью AI. — Формировать ТЗ, декомпозировать задачи и предлагать варианты реализации. — Проектировать структуру AI-автоматизации и самостоятельно реализовывать решения. — Работать с Claude, ChatGPT и другими LLM. — Создавать AI-ассистентов, AI-агентов и базы знаний. — Настраивать интеграции с CRM, 1С, сайтами, мессенджерами, телефонией и другими системами. — Работать с API, RAG, embeddings и автоматизированными workflow. — Тестировать, дорабатывать и повышать качество AI-решений. — Описывать готовые решения, создавать инструкции и базу знаний. — В перспективе выстраивать процессы разработки и управлять командой AI-разработчиков. Требования: — Опыт работы в AI / AI Automation / Backend / Integration от 3 лет. — Практический опыт работы с Claude, ChatGPT и LLM. — Опыт создания AI-решений и автоматизации бизнес-процессов. — Понимание API, интеграций, RAG, embeddings, AI-агентов. — Системное мышление и способность самостоятельно разобраться в новой задаче. — Умение общаться с бизнес-заказчиками и переводить их запросы в техническое ТЗ. — Навык самостоятельно вести задачу от постановки до готового результата. — Ответственность за качество и результат внедрения. Будет плюсом: — Python, SQL/PostgreSQL, n8n, Make, Docker, MCP, опыт создания AI-агентов, CRM/1С и опыт управления разработчиками. Условия: — Офис в Москве, рядом с м. ЦСКА. — График 5/2: 09:00–18:00 или 10:00–19:00. — Заработная плата обсуждается по итогам собеседования. — Реальные задачи по внедрению AI в бизнес, возможность видеть результат своей работы. — Возможность влиять на технологии и формировать AI-направление внутри компании. — Перспектива роста в Team Lead / руководителя направления. — Профессиональная команда и возможности для развития. — Современный офис класса А. — Скидки на услуги компании.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Senior Data Engineer to join the Data Products team at Strava. The Data Products team sits at the core of Strava's AI strategy, turning Strava's unique community and activity data into reliable, reusable, enriched datasets that power experiences across the app. The team operates at the intersection of data engineering, ML platform engineering, and server engineering, building the pipelines and platform layer that let our proprietary embeddings, algorithms, and models reach athletes at scale. As a Senior Engineer, you'll build and operate the pipelines and access layer that turn raw data, algorithms, and models into production-ready data products used across the app. You'll work closely with ML engineers, data scientists, and product teams to ship data products with strong reliability, freshness, and clear contracts, and you'll contribute to the self-serve tools that make these products easier for other teams to build on. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week. WHAT YOU’LL DO: - Build for a Well Loved Consumer Product: Work at the intersection of Geo and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide - Build and Operate Data Products: Develop and maintain the pipelines, APIs, and platform tooling that expose Strava's derived data products, including embeddings, ranking artifacts, clustering outputs, and enriched activity streams, as reliable, well-documented internal products. - Contribute to Self-Serve Tooling: Build components of the self-serve interfaces and golden paths that let product and CUJ engineering teams use core data products without deep ML or data engineering expertise. - Own End-to-End Data Product Delivery: Drive projects end-to-end, from pipeline design and artifact schema through production deployment and monitoring, ensuring correctness, freshness, and reliability of the data products you own. - Collaborate Across ML, Data Engineering, and Product: Work closely with ML engineers on integrating model outputs into durable, versioned artifacts; partner with Data Platform on compute patterns and cost efficiency; inform product teams on how to consume and leverage these capabilities. - Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features YOU WILL BE SUCCESSFUL HERE BY: - Treating Data Products as Products: Bringing engineering rigor, versioning, contracts, SLAs, monitoring, and deprecation paths to data artifacts and ML insights you own, so downstream teams can depend on them. - Owning Your Work End-to-End: Taking accountability for the reliability and correctness of the systems you build in production and their adoption by downstream teams, while staying aware of adjacent workstreams so dependencies and timing don’t stall the team’s momentum. - Collaborating Across Disciplines: Working fluidly with ML engineers, data engineers, data scientists, and product managers to align on artifact semantics, evaluation standards, and consumption patterns. - Contributing to the Standard: Helping establish best practices for data product development and operational health, and mentoring junior and mid-level engineers on the team. You love to stay current on emerging practices in backend and data engineering and apply them pragmatically, favoring what actually moves the team forward over novelty for its own sake. - Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values. WHAT YOU’LL BRING TO THE TEAM: - Experience building and operating complex, data-intensive backend systems in production at scale, with a track record of breaking large technical problems into well-scoped, executable work. - Demonstrated experience building access layers, platform tooling, or internal developer products ideally for large scale data or ML systems with a strong instinct for contract design, versioning, and self-serve patterns. - Experience building and maintaining production data pipelines and batch/stream workflows using technologies like Spark, Kafka, Flink, Iceberg, Snowflake, or similar. - Proficiency in backend service development on cloud environments (AWS preferred), using Python, Scala, Go, or equivalent. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker). - Comfort taking technical ownership within a project or team: making design trade-offs, coordinating with collaborators, and mentoring junior engineers and peers. - Eagerness to engage with ML concepts such embeddings, classification outputs, model evaluation, GenAI integrations. Bonus points if you are already an ML practitioner. - Strong communication and collaboration skills with the ability to work effectively with cross-functional partners. For more information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA About the Role The Sr. Associate, Compliance Advisory partners with Complaints, Product, Operations, and other business teams to provide compliance guidance as a second line of defense. The role supports consumer complaint oversight, new and existing product operations advisory, agent readiness, member- and agent-facing communications, and process improvement while identifying consumer and regulatory risks and helping drive issues through remediation and implementation. In this role, you can expect to Complaints Management Advise the first line of defense on complaint-management requirements, regulatory expectations, and industry best practices. Review complaint-handling processes, procedures, controls, and documentation; identify gaps and recommend remediation, maintaining ownership of the issue lifecycle from informing the business of identified gaps and recommendations through completed remediation and implementation. Recommend and implement process improvements that balance regulatory requirements with innovative, member-friendly solutions. Demonstrate knowledge of and apply consumer financial regulations—including Regulations Z, E, and DD, UDAAP, NACHA, VISA Operating Standards, and applicable state requirements—through compliance advisory work and day-to-day responsibilities. Support operational teams in investigating and resolving consumer complaints while analyzing trends and potential member impact. Perform oversight and monitoring to promote timely, accurate, and appropriate complaint resolution. Develop and refine complaint procedures, guidance, training materials, and educational resources. Assist with responses to sensitive and regulatory complaints and inquiries. Ensure complaint-related work, processes, procedures, and guidance align with all applicable requirements of the Complaints Policy. Support regulatory, bank partner, and internal audit readiness by collecting, organizing, and validating requested documentation and helping ensure complaint processes and records are complete and current. Review complaint dashboards and complaint trends to identify emerging risks, recurring issues, and opportunities for improvement. Present compliance findings, complaint trends, risk assessments, recommendations, training, and process updates to business partners and relevant business stakeholders when needed. Prepare executive-level reports and presentations on compliance findings data, trends, risks, and recommendations. Compliance Advisory Provide compliance advisory support for operations supporting new products and changes to existing products, including identifying compliance considerations and helping teams address related risks and requirements. Translate complex compliance requirements and data-driven insights into clear, practical, and actionable guidance for business partners and member-facing teams. Support agent readiness for new products and changes to existing products by partnering on agent-facing communications, member-facing communications, help center articles, training, and other agent-ready content. Partner with Compliance, Legal, Quality Control, Quality Assurance, bank partners, and business teams to mitigate compliance risk. Demonstrate strong proficiency in AI tooling and proactively identify responsible AI-enabled tools and workflows that help the Compliance Advisory team work more efficiently and effectively. Use AI tooling to accelerate data analysis, complaint-trend identification, monitoring, oversight, research, documentation, reporting, and preparation of business-partner guidance while maintaining appropriate human review and compliance with confidentiality requirements. Leverage AI-enabled insights to help business partners make faster, better-informed decisions and improve outcomes for members. Support quality assurance and quality control business partners as a second line of defense by helping ensure the program is regulatory sound, appropriately designed, and operating effectively for its intended purpose. Serve as a knowledgeable Compliance presence in meetings with bank partners and business partners by contributing to discussions, answering questions, and identifying compliance considerations. Core Competencies Consumer complaints and complaint-program management and oversight. Regulatory knowledge, including the ability to interpret applicable regulations and translate them into practical, risk-based guidance for products, processes, and member experiences. Risk identification, escalation, and remediation. Executive and business-partner communication and presentation skills. Data analysis, automation, and practical application of AI tools. Cross-functional collaboration and stakeholder management. Process documentation, monitoring, training, and continuous improvement. Independent execution and resourcefulness, including taking end-to-end ownership. To thrive in this role, you have 5+ years of compliance experience in fintech, banking, or financial services, including meaningful work supporting consumer financial products and a track record of operating with a high degree of independence Direct, hands-on experience with deposit accounts and credit products Hands-on experience with consumer complaints and complaint-program management and oversight Strong regulatory knowledge, with the ability to interpret applicable regulations and translate them into practical, risk-based guidance for products, processes, and member experiences A sharp instinct for risk identification, escalation, and remediation — and the persistence to see issues through to closure Experience supporting regulatory exams, bank partner reviews, or internal audits Executive and business-partner communication and presentation skills Comfort with data analysis and automation, and practical experience applying AI tools to real work A collaborative approach to cross-functional work and stakeholder management Experience with process documentation, monitoring, training, and continuous improvement A bias toward independent execution and resourcefulness, including taking end-to-end ownership from problem to solution Comfort working in a fast pace environment that doesn't slow down #LI-Onsite #LI-LB1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $101,000 — $140,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Canada Wide - Excluding Quebec; British Columbia Workplace: Hybrid ABOUT THE ROLE Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization. This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous improvement. You will work across generative AI, applied machine learning, retrieval, and agentic systems while establishing reusable architectures and engineering standards for complex production implementations. ABOUT THE TEAM AI Enablement helps Safe Software adopt AI effectively and responsibly. The team builds shared capabilities, platforms, and engineering standards while enabling departments to deliver AI solutions aligned with common security and governance practices. WHAT YOU'LL BE DOING - Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production, spanning data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement. - Architect and build agentic and multi-agent systems, including orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery. - Design and build enterprise knowledge and retrieval systems across structured and unstructured data, using data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval. - Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools. - Establish automated testing, evaluation, and observability practices covering task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression. - Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions. - Create reusable architectures, libraries, and engineering standards, and provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration. - Evaluate emerging Large Language Models, frameworks, and platforms and make evidence-based adoption recommendations. QUALIFICATIONS, SKILLS, AND COMPETENCIES WHAT WE'RE LOOKING FOR - 8+ years across software engineering and AI/ML, including 3+ years building and operating AI/ML systems in production at scale. - Strong software engineering skills, particularly in Python or comparable backend technologies. - Experience developing, adapting, fine-tuning, evaluating, deploying, and monitoring AI or machine learning models. - Applied AI experience in enterprise use cases such as chatbots, workflow automation, RAG, intelligent document processing, recommendation systems, or decision support. - Strong understanding of generative AI, LLMs, retrieval systems, agent-based architectures, and applied machine learning. - Experience with production data pipelines, APIs, model-serving infrastructure, testing, security, reliability, and observability. - Ability to explain complex technical decisions and tradeoffs to engineering teams and business stakeholders. NICE TO HAVE - Experience with agent and workflow orchestration tools such LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. - Experience with vector databases, semantic or hybrid search, embeddings, and reranking. - Experience with platforms such as Databricks, Snowflake, Amazon Bedrock, Microsoft Foundry/Azure AI, or equivalent. - Familiarity with MCP, A2A, self-hosted or open-weight models, and hybrid AI architectures. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: Colombia We are looking for a Risk Data Scientist . We're launching a new business line in Colombia and looking for someone to become the first dedicated Data Scientist in our Risk team, building the function from the ground up as part of this launch. This is a rare opportunity to shape a function from scratch rather than optimize what someone else already built: you'll be working with a fast-growing dataset, designing the full lifecycle of ML models used in real credit decisions, and setting the technical foundation that the rest of the Risk data science function will be built on. Day-to-day responsibilities: Design, build, and own end-to-end machine learning models supporting risk decisions — from feature engineering and model development to deployment, monitoring, and retirement Build predicting models for adjacent functions (e.g., churn/attrition prediction on issued loans, reserve calculations) Establish and maintain a managed lifecycle for ML models in production — ensuring models remain stable and reliable as data volume grows Collaborate closely with Risk Analysts, Portfolio Managers, and Risk-tech strategy teams on model implementation The ideal candidate: 3+ years of hands-on, production-level Data Science experience Hands-on experience across the full ML model lifecycle: development, deployment, monitoring, and decommissioning Experience in banking or financial services strongly preferred, with an understanding of how risk decisions are embedded in financial products Strong foundation in ML algorithms, feature engineering, and model development Proficient in Python, SQL, Airflow, Git, BI / Streamlit Education: Mathematics, Physics, Computer Science, or a related STEM field from a top technical university Comfortable working independently and owning problems end-to-end B1 or higher English level for effective communication with an international team Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Mapbox Helsinki Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.   IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. - Clear written communication. Mapbox is distributed across time zones and we make most decisions in documents and Slack.   NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do.   WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.   HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.   By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role You will serve as a front-line manager for a team of Sales Development Representatives, responsible for outbound prospecting and pipeline generation across Ramp’s SMB segment. You will lead and evolve the SMB sales development motion by providing 1:1 coaching, onboarding, training, and mentorship; setting team strategy; and partnering closely with Sales, Marketing, Product, and Executive Leadership to drive pipeline and business outcomes. As a member of the Sales Leadership team, you will play a critical role in developing SDR talent, scaling effective outbound practices, and continuously refining Ramp’s SMB go-to-market motion. WHAT YOU'LL DO - Build and scale the SMB SDR function by evolving team operating rhythms, playbooks, coaching standards, and processes for an open-territory outbound motion. - Set and maintain a high-performing culture by overseeing daily SDR activity, pipeline generation, and quota performance to ensure key performance metrics are met. - Hire, onboard, and train new SDRs on Ramp’s products, buyer personas, competitive landscape, prospecting strategy, and tools through hands-on methods including role-plays. - Develop and execute career-growth and leadership plans for direct reports, including daily 1:1 mentorship and coaching on time management, objection handling, prospecting tactics, active listening, and pipeline creation. - Coach SDRs on effective multichannel outbound prospecting, including account research, relevant messaging, call execution, and using AI tools to improve efficiency and quality. - Partner with AEs and Sales and Marketing counterparts on pipeline-generation, territory, and prospecting initiatives that support SMB business objectives. - Report on team performance, pipeline health, and forecasts to senior leadership. - Improve team output and efficiency over time by identifying opportunities to optimize systems, processes, enablement, and AI-supported workflows. - Establish and maintain a library of prospecting resources, best practices, and training materials for the SMB SDR team. - Represent the SMB Sales Development team cross-functionally with leaders across Sales, Marketing, Product, and other departments. WHAT YOU NEED - Minimum of 2 years of quota-carrying sales experience as an individual contributor, with a proven, consistent track record exceeding goals - Minimum of 2 years of experience building and leading sales development teams with a proven track record of exceeding goal - Prior demonstrated success in fast-paced, results-oriented GTM environments, ideally at SaaS companies, and history of consistently performing above quota in an outbound sales environment - A passion and excitement for hiring, with a thoughtful approach to team planning and development - Ability to articulate contractual, technical, and financial value points to customers, including executive leaders - Proficiency in data analytics tools (ie. Salesforce, Looker, and Excel) and familiarity with email and call automation platforms - High proficiency with AI tools (Claude, OpenAI, etc.), with the ability to incorporate tooling into prospecting, coaching, team workflows, and process improvement to drive greater SDR productivity - Ability to leverage data to drive decisions, create systems, and identify process improvements to improve efficiency - Strong collaboration and influencing skills, demonstrated through excellent communication and presentation skills NICE-TO-HAVES - Experience with financial services sales in a full cycle sales role - Experience at a high-growth startup - Bachelor's degree from an accredited university BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Москва Команда центра аэрологистики, которая входит в состав департамента автономных решений, занимается научными исследованиями в области построения логистических маршрутов с применением отечественных моделей беспилотников и отдельных технологических решений. Научные достижения и технологические разработки в этом направлении открывают широкие перспективы для дальнейшего повышения конкурентоспособности отрасли. Обязанности * Определять архитектуру системы автопилота и входящих подсистем * проектировать ПО компьютера-компаньона: границы подсистем, интерфейсы, потоки данных, модели состояний и жизненный цикл компонентов * выстраивать взаимодействие с PX4/ArduPilot: выбирать протоколы и интерфейсы, определять контракты команд и телеметрии, обрабатывать потерю связи и отказы * выбирать и обосновывать middleware: ROS 2, DDS, QoS, executors, lifecycle nodes — или альтернативные решения, когда они действительно оправданы * проектировать работу в реальном времени: бюджеты задержек, частоты обновления, синхронизацию времени и управление нагрузкой * разрабатывать ключевые компоненты на Python/C++ и доводить их от прототипа до production-кода * проводить code review, принимать архитектурные решения, декомпозировать задачи и развивать инженерные стандарты команды. Требования * Глубокое знание современного C++17/20: RAII, управление памятью, concurrency, синхронизация потоков, обработка ошибок, проектирование API, профилирование и отладка * сильный опыт production-разработки на Python: прототипирование, тестирование, симуляция, автоматизация и анализ логов * уверенное понимание ROS 2: DDS, QoS, executors, callback groups, lifecycle, composition, intra-process communication, TF2, rosbag и диагностика распределенного графа * знание робототехники: системы координат и преобразования, кинематика, EKF/UKF, sensor fusion, наблюдаемость, ошибки навигации, основы траекторного планирования и динамики БПЛА * понимание архитектуры PX4 и/или ArduPilot: внутренние интерфейсы, оценивание состояния, режимы полета, offboard/external control, failsafe и интеграционные границы * рабочие знания Embedded и Linux: процессы и потоки, IPC, systemd, сеть, драйверы, real-time Linux, приоритеты планирования и диагностика проблем ядра * умение разбивать сложную систему на понятные компоненты, задавать требования к задержкам и синхронизации, находить баланс между надежностью, производительностью и сроками. **Будет плюсом:** * Опыт проектирования автономных робототехнических или беспилотных систем * практика интеграции камеры, лидара, IMU и GNSS в единую систему восприятия и навигации * опыт работы с MAVLink, uXRCE-DDS, Zenoh или другими интерфейсами взаимодействия с полетным стеком * опыт настройки и диагностики real-time Linux на embedded-платформах * опыт построения тестовой стратегии: симуляция, HIL, стендовые испытания, регрессионное тестирование * опыт технического лидерства небольшой инженерной команды * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * Комфортный офис в Сколтехе * офисный формат работы * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС c первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трёх близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.

Задачи: • Формировать AI-стратегию и roadmap бизнес-направления. • Находить наиболее перспективные точки применения AI. • Самостоятельно запускать первые прототипы и AI-пилоты. • Быстро проверять гипотезы и показывать первые измеримые результаты. • Создавать AI-агентов, RAG-решения и AI-автоматизации. • Формировать и приоритизировать портфель AI-инициатив. • Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования. • Переосмысливать бизнес-процессы с учетом возможностей AI. • Работать с руководителями бизнес-направлений и защищать AI-инициативы. • Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах. Требования: • 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation. • Практический опыт запуска AI/ML или технологических продуктов. • Сильное понимание LLM, Generative AI, AI Agents и RAG. • Способность самостоятельно собрать работающий AI-прототип. • Product mindset и ориентация на быстрый результат. • Стратегическое мышление и способность формировать AI-roadmap. • Умение связывать технологии с конкретным бизнес-эффектом. • Опыт работы с руководителями и топ-менеджментом. • Высокая самостоятельность и ответственность за результат. AI-инструменты и технические навыки: • Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM. • Работа с LLM API, Prompt Engineering, Tool/Function Calling. • Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов. • Практическое понимание RAG, embeddings, vector databases. • Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов. • Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов. • Опыт работы с n8n, Make или другими инструментами автоматизации. • Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных. Кого мы ищем: • Не классического бизнес-аналитика или координатора. • Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой. Главный результат: • Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We're looking for an experienced HRIS Analyst to join Ramp's People team during an active Workday implementation. Reporting to our Senior HRIS Manager, you'll play a hands-on role in configuration and system support, partnering closely with our implementation partner and cross-functional teams through go-live and hypercare. This is an opportunity to help strengthen the data integrity, controls, and employee experience that support Ramp as we scale. You'll bring a solutions-focused, collaborative approach and strong systems thinking to a fast-moving, high-growth environment. The ideal candidate is naturally curious, understands how People data flows across systems, and looks for ways to streamline processes as they build them, staying flexible as priorities evolve along the way.   WHAT YOU'LL DO - Support the configuration, testing, rollout, and ongoing maintenance of Workday modules, including HCM, Benefits, Advanced Compensation, Time Tracking, and Absence - Partner with key stakeholders across the business to gather requirements, run testing cycles, resolve issues, and ensure cutover readiness - Run data validation and audits across HRIS and downstream systems, ensuring data integrity, security, and compliance through regular reporting - Support system releases and enhancements, including testing changes, documenting outcomes, and triaging issues as they arise - Train and enable team members and system users on existing and new processes and functionality - Build and maintain SOPs and job aids that make recurring HRIS processes accurate, scalable, and easy for others to support - Support AI transformation initiatives involving Workday, partnering with People, IT, Finance, and business stakeholders to evaluate and implement AI-driven solutions   WHAT YOU NEED - 3–5+ years of hands-on Workday experience, including configuration and production support - Direct experience with one or more Workday modules: HCM, Benefits, Advanced Compensation, Time Tracking, or Absence - Strong analytical and problem-solving skills, with demonstrated ability to reconcile data, identify root causes, and troubleshoot discrepancies across systems. - Strong attention to detail and track record of managing employee data with sound judgment, accuracy, and appropriate controls - Ability to translate business requirements into configuration, testing, and documentation - Proactive problem-solver who takes initiative to resolve issues with minimal oversight - Strong communication skills and the ability to partner cross-functionally across People, Finance, IT and business stakeholders - Comfort working in a fast-paced, evolving environment   NICE-TO-HAVES - Experience supporting a Workday implementation post-production stabilization - Familiarity with Workday reporting, integrations, or security concepts - Exposure to automation tools or AI-assisted workflows - Background in a high-growth tech or fintech environment, ideally with global scope BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: United States; Washington, District of Columbia, United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com Mattermost is seeking a Senior Account Executive – Federal (Intelligence Community Focus) to own and expand one of our most strategic territories, centered on the U.S. Intelligence Community. This is a quota-carrying individual contributor role focused exclusively on strategic selling, renewal expansion, and net-new growth across the IC ecosystem. The territory includes a significant multi-million-dollar renewal footprint and substantial opportunity for expansion across IC agencies, program offices, and mission-aligned organizations operating in some of the most sensitive and demanding environments in the world. The ideal candidate brings deep IC domain expertise, established relationships across agency acquisition and mission stakeholders, and experience working with Federal Systems Integrators and cleared partners to accelerate program-level adoption. What You'll Do Own and Grow the Intelligence Community Territory Serve as the primary seller responsible for Mattermost's IC business, including agencies across the IC, program offices, and mission-aligned stakeholders operating in classified and controlled environments Develop and execute multi-year account strategies aligned to IC modernization, zero trust initiatives, and mission priorities Expand Mattermost's footprint across additional agencies and programs through strategic penetration and executive alignment Drive Strategic Renewals and Expansion Outcomes Maintain executive ownership of large-scale renewals and expansion motions across the territory Partner closely with an Account Manager who supports renewal execution, while retaining accountability for strategic renewal outcomes Identify cross-agency and cross-program expansion opportunities within existing deployments Close Complex Enterprise SaaS Transactions Lead sophisticated, multi-threaded sales cycles involving technical validation, security review, accreditation workflows, and executive sponsorship Navigate IC-specific procurement environments, including FAR/DFARS requirements, classified contracting workflows, and common contract vehicles (IDIQs, GWACs, OTAs) Build strong internal deal governance and forecasting discipline through Salesforce Execute a Federal Partner Ecosystem Motion Develop and manage strategic co-sell relationships with major cleared Federal Systems Integrators (FSIs), including Booz Allen Hamilton, Leidos, SAIC, Northrop Grumman, Palantir, and others operating within the IC Partner effectively with Federal distributors and cleared VARs to navigate contract vehicles, renewal workflows, and net-new agency entry Align with partner capture teams and distributor resources to position Mattermost within prime contracts, task orders, and program-level pursuits Maintain clear ownership of deal strategy and close execution while leveraging partners to accelerate procurement and expand reach Deliver Predictable Revenue and Forecast Accountability Carry and achieve an annual quota across net-new and strategic expansion outcomes Maintain high forecast accuracy, deal hygiene, and pipeline rigor Provide clear visibility to Sales leadership and Finance on deal timing, risks, and execution plans What We're Looking For Required Qualifications Proven track record of enterprise SaaS sales experience with demonstrated success closing complex, multi-million-dollar transactions Substantial experience selling directly into U.S. Intelligence Community agencies with a deep understanding of IC acquisition, accreditation, and mission environments Demonstrated success navigating IC-specific procurement, classification requirements, and authorization-to-operate (ATO) processes Experience co-selling with cleared Federal Systems Integrators and navigating partner-influenced deal structures within the IC Deep understanding of IC procurement, acquisition, and contracting processes Clearance Requirements Must be eligible to obtain and maintain a U.S. security clearance Active Secret clearance required TS/SCI strongly preferred; polygraph is a plus Preferred Qualifications Experience selling secure collaboration, DevSecOps, cybersecurity, or mission-critical infrastructure software into IC environments Familiarity with IC-specific compliance and security frameworks including ICD 503, NIST 800-53, and cross-domain solution requirements Experience supporting deployments in controlled or classified environments (IL4/IL5/IL6/TS networks) Established relationships within key IC agency acquisition stakeholders and cleared FSI partner ecosystems Familiarity with IC-specific contract vehicles and procurement pathways including ODNI, NSA, CIA, DIA, and other agency-specific vehicles What Success Looks Like in Year 1 Successfully retain and expand major IC renewal footprint Build executive-level relationships across IC agency acquisition and mission hierarchies Establish repeatable co-sell execution with strategic cleared FSIs Close net-new program opportunities across IC agencies and program offices Deliver predictable, finance-ready forecasting and pipeline visibility Why Mattermost Mattermost is uniquely positioned at the intersection of secure collaboration, mission software, and intelligence community modernization. Our platform is built for the environments where security is not a feature — it is the foundation. This role offers the opportunity to shape and scale Mattermost's presence within one of the most strategically important and security-sensitive markets in the world. If you thrive in complex, classified environments, understand how mission outcomes drive technology adoption, and want to sell software that protects the nation's most sensitive operations — we would love to hear from you. Target Salary Range: $125,000 – $150,000 USD, plus commission Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . #LI-KR1 Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: San Jose, California (On-site) Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: San Jose, CA (On-site) Annual salary: USD 110,000 - USD 145,000 Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location. Type: Full-time Reports to: Chief of Staff, CEO office About the Role We are seeking an experienced Executive Assistant to join our CEO Office and serve as a critical operational partner to the CEO, Chief of Staff, and senior leadership while owning the day-to-day workplace operations of our San Jose headquarters. This is not a typical Executive Assistant position. You will be embedded within our CEO Office, working directly with the CEO and Chief of Staff as a critical operational partner in a high-velocity environment. You'll manage a diverse portfolio spanning executive support, office operations, product review logistics, and cross-functional coordination. This role requires someone who thrives in ambiguity, exercises impeccable judgment, and can shift seamlessly between strategic projects and hands-on execution. You will be embedded within the CEO Office and serve as an operational backbone that keeps both executive priorities and the San Jose workplace running smoothly. On any given day, you might manage a complex executive calendar across global time zones, coordinate an international trip, prepare for a CEO product review, resolve an office issue with WeWork, manage an insurance renewal, oversee assets inventory, or execute a company offsite partnering with People team. This role is ideal for someone who combines the judgment, responsiveness, and anticipation of an exceptional Executive Assistant with the ownership and operational mindset of a Workplace Manager. You are comfortable shifting between highly confidential executive matters and hands-on operational execution, and you naturally create structure, systems, and order wherever they are needed. Given the nature of this role, you will have access to highly confidential and sensitive company information. Discretion, sound judgment, and professionalism are non-negotiable. Key Responsibilities CEO Office & Executive Support Manage complex scheduling for internal and external meetings for the CEO Office across global time zones Coordinate domestic and international travel arrangements and executive logistics for the CEO Office Conduct product research based on CEO's requests to support leadership decision-making Coordinate executive demo preparation logistics with Content Ops, Marketing, and Business, including procurement, research, and packing lists Coordinate product review meetings, including agendas, pre-meeting materials, attendees, and follow-up actions Maintain robust tracking systems for CEO Office requests, action items, decisions, and follow-ups, ensuring clear ownership, status visibility, and timely closure Provide flexible, responsive support in a fast-paced environment with variable hours Workplace Administration Serve as the on-site office administration point of contact for the San Jose office, including supporting executive workspace needs and on-site meetings Serve as day-to-day liaison with WeWork community management for facilities, access, and general office needs Manage office supplies, mail, and general workplace administration Support logistics for CEO Office events and external meetings (venue/vendor sourcing, agenda and presentation coordination), partnering with People on company-wide events and employee experience programming What You Bring Required Qualifications 5+ years of experience as an Executive Assistant, Executive Business Partner, or in a similar executive support role , ideally with additional experience in workplace, office, or business operations within a technology company, startup, or rapidly scaling organization. Proven experience directly supporting C-level executives or senior leadership in a high-touch, fast-paced environment. Demonstrated experience supporting or owning workplace and office operations, including facilities, vendors, events, and administrative processes. Proven ability to handle highly confidential and sensitive information with exceptional discretion and professionalism. Exceptional organizational skills with an almost obsessive attention to order and detail. Track record of building and maintaining organized systems for requests, action items, follow-ups, documentation, and information flow—ensuring nothing gets lost, delayed, or forgotten across multiple workstreams. Strong experience managing multiple priorities, stakeholders, deadlines, and shifting priorities simultaneously. Experience managing vendors, budgets, procurement, and operational projects. Experience with or exposure to hardware/IT asset inventory and lifecycle management. Familiarity with corporate insurance programs, renewals, certificates of insurance, and claims administration. Strong written and verbal communication skills. Proficiency in Google Workspace, Slack, Notion, presentation tools, and other modern workplace technology. Ability to work on-site in San Jose and provide flexible, responsive support when business needs require it. Who You Are Exceptionally organized. You bring Marie Kondo energy to everything from calendars and documentation systems to hardware inventories, event logistics, and physical workspaces. Chaos doesn't stand a chance around you. A systems builder. You don't just complete tasks—you create intuitive processes that make requests visible, ownership clear, and follow-through reliable. Anticipatory. You think several steps ahead and notice what will be needed before someone has to ask. Hands-on. You're equally comfortable preparing materials for an executive meeting, organizing a demo kit, coordinating an offsite, or solving an unexpected office issue. Tech-savvy. You have a strong interest in technology and actively look for ways to use tools and automation to improve efficiency. Comfortable with ambiguity. You are unfazed by changing priorities and don't need a playbook for every situation. Resourceful. When you don't immediately know the answer, you know how to find it and keep things moving. Low-ego and high-accountability. No task is beneath you, and you take ownership through completion. Highly adaptable. You understand that supporting a CEO Office in a fast-growing startup requires flexibility. Priorities can change quickly, and this is not always a predictable 9-to-5 role. Relentless about follow-through. If you own something, people don't need to wonder whether it will get done. Nice to Have Experience in consumer technology, gaming, hardware, or another product-driven company. Experience managing a WeWork or other flexible office environment. Experience supporting executives with external communications, media, or PR-related logistics. Experience creating executive decks, metrics reporting, or operational dashboards. Knowledge of workplace safety, security, and compliance programs. Familiarity with workplace systems and tools such as space booking, access control, visitor management, or IWMS platforms. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Задачи: — Разработка от исследования до прода, включая совместную с командой проработку архитектуры, выбор подходов и библиотек, декомпозицию задач. — Поддержка и развитие существующей кодовой базы: рефакторинг, оптимизация производительности, устранение техдолга. — Code review, менторинг junior-разработчиков. — Быстрое прототипирование новых идей и концептов (PoC / MVP). — Реализация пилотных интеграций: сторонние сервисы, AI API, новые UI-паттерны. — Настройка A/B-тестов и feature flags для валидации гипотез на реальных пользователях. — Сбор и анализ метрик по результатам пилотов — формирование выводов для принятия решений о масштабировании. — Итеративная доработка пилотов до production-ready состояния при положительных результатах. Требования: — Коммерческий опыт frontend-разработки от 5+ лет. — Отточенный навык писать чистый и поддерживаемый код с соблюдением стандартов кодирования. — Продвинутые знания и практический опыт работы с TypeScript. — Глубокое понимание React и его экосистемы. — Уверенный опыт адаптивной и кроссбраузерной вёрстки. — Опыт декомпозиции на переиспользуемые компоненты и модули. — Понимание паттернов проектирования (композиция, HOC, render props, compound components). — CI/CD — понимание пайплайнов, деплоя фронтенда. Будет плюсом: — Знание основ Docker/Docker Compose/K8n. — Опыт с дизайн-системами и компонентными библиотеками (Storybook). — Понимание основ UX/UI. — Опыт использования AI-ассистентов для разработки (Claude Code, GitHub Copilot, Cursor). — Понимание возможностей LLM API (OpenAI, Anthropic) и опыт интеграции в продукт. — Знакомство с RAG-паттернами, embeddings, vector databases. — Опыт создания AI-powered фич в пользовательских интерфейсах (чат-боты, автокомплит, генерация контента). Условия: — Оформление в соответствии с ТК РФ (ТД или ИП). — Формат работы: удаленно, с возможностью посещения офиса в Москве для получения техники и решения проблем с оборудованием. — Своевременная заработная плата, выплачивается 2 раза в месяц, сумма обсуждается на собеседовании. — График 5/2 с 9:00 до 18:00; выходные — суббота и воскресенье. — ДМС и стоматология после испытательного срока. — Предоставление техники (MacBook). — Компания входит в список IT лицензированных аккредитованных компаний. — Отсутствие бюрократии, прозрачность, быстрое принятие решений, уважение к каждому члену команды. — Поддержка в значимых событиях.

Location: Remote Workplace: remote Lessen is the tech-enabled, end-to-end property service provider that is transforming how commercial and residential real estate services are delivered and managed at scale. Lessen’s technology platform provides data-driven insights that unlock key growth opportunities for the entire real estate ecosystem—including investors, owners, managers, and service providers. The company leverages a network of over 30,000 vetted, qualified vendors (Lessen Affiliates) serving clients with over 1 million properties and completing more than 3.5 million work orders annually across an expanding range of services. Lessen, LLC is a venture-backed, privately held company with offices in Scottsdale and Chicago.  The Vendor Success Manager assists the department and leadership in achieving profitable business results. This role is responsible for the oversight and performance of geographic markets through developing and cultivating relationships with Affiliates. This role also analyzes data used to align Affiliates in reducing risk, and improving performance and profitability. What You'll Do Develop negotiation strategies and participate in negotiations with vendors on price, delivery, terms, etc. Provide supporting data and analytics to ensure informed decisions are made when choosing vendors Conduct data analysis to support management of vendor base; provide in-depth vendor performance analysis Uncover/understand client objectives, challenges and needs by performing regular client needs assessments Proactively and reactively manage vendor relationships; leverage internal resources to enhance relationships with Lessen  vendor base Minimize cost and maximize value in the sourcing process via leveraging strategic sourcing, negotiations, etc. Maintain an awareness of latest buying techniques, theories, best practices, trends, legislative issues and market competitiveness information and leverage these to drive bottom-line improvements Assist leadership in the development of department performance objectives; monitor activities against department objectives and submit performance reports to management Ensure appropriate audit trails are embedded in sourcing processes, for internal audit and performance management purposes Identify challenges related to processes, tools and policies for the department; implement changes as necessary to resolved challenges Ensure compliance with policies and programs in alignment with sourcing strategy Ensure the effective delivery of initiatives, programs and directives in accordance with sourcing strategy and financial business plans Ensure that sourcing processes and policies are in line with business processes Develop and deliver presentations to leadership and vendors, as required on strategies, programs, practices and issues Interact cross-functionally with all other departments and serve as an effective and value-added service for the entire organization Collaborate with other internal departments on catalog pricing and implementation Meet with internal departments on a regular basis to ensure vendor strategies are on track and achieving customer goals and expectations Handles moderately complex issues and problems with a sense of urgency; appropriately identifies and escalates issues to department leadership Perform work under general supervision; carefully reviews the details and accuracy of work performed Foster a positive team environment and provide coaching or mentoring to team members Ensures confidentiality and accuracy of internal and external data Travel expected up to 20% of the time Performs ad-hoc projects and other duties as assigned What You Need: 3-5 years’ in facilities, supply chain analytics, or procurement experience required Bachelor’s degree preferred Proficient in all people management processes, including recruitment, performance management and reward Proficient in building, growing and developing a team; including department structure design and resourcing Proficient in coaching and developing individual team members to reach their potential Proficient in engaging a team through communication, processes, personal impact and influence System Experience: (i.e. ADP, Great Planes) Possesses solid working knowledge of subject matter Computer Skills: Proficient in Microsoft Word, Excel, PowerPoint, Outlook required System Experience: Tableau, HubSpot, Salesforce preferred Industry Trade Knowledge: HVAC, Electrical, Plumbing, General Maintenance preferred Why Lessen: ·        Competitive compensation ·        Health, Dental, Vision, Life, Disability options ·        401K retirement savings plan ·        Paid vacation, federal and floating holidays ·        Maternity/Paternity Pay ·        Career advancement opportunities ·        All the tools you'll need to be successful Lessen is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We’re looking for teammates that are enthusiastic, empathetic, curious, motivated, reliable, and will help us amplify the positive & inclusive culture we’ve been building.  Lessen is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the heart of the ads delivery funnel: before downstream ranking and auction decisions, our models determine which campaigns and ads are eligible to compete. We work on large-scale retrieval across multiple objectives, placements, and geographies. Our work combines representation learning, candidate generation, nearest-neighbor search, behavioral and contextual signals, and rigorous offline and online experimentation. Role Description: We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale. This is an applied ML role centered on retrieval modeling and end-to-end product impact. You will be expected to stay close to the technical details—from data and objective design through model development, evaluation, experimentation, and launch—while setting direction for other engineers. Responsibilities: Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership with engineering, product, data science, and ads stakeholders. Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces. Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value. Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth. Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs. Establish strong evaluation practices that connect retrieval metrics—such as recall, precision, candidate coverage, calibration, and downstream lift—to ads and user outcomes. Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration. Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel. Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership. Mentor ML engineers and help grow the team’s expertise in retrieval, recommendation, and representation learning. Required Qualifications: 7+ years of industry experience, including substantial experience building and shipping applied ML products. Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems. Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval. Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks. Demonstrated ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration. Strong command of experimental design and model evaluation, including how offline retrieval metrics relate to downstream business and user metrics. Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines. Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code. Technical leadership experience: setting direction, leading complex projects, influencing partner teams, and mentoring other engineers. Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences. Preferred Qualifications: Experience with ads retrieval, ad serving, recommendation, search relevance, or marketplace optimization Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes Experience in ads marketplaces at peer companies Publications, patents, or industry contributions in applied ML or ranking systems Experience with sequential modeling (e.g., RNNs, Transformers) Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Dallas, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: The Project Management Office (PMO) Project Manager (Data Center Construction) is the PMO's embedded project management partner to the Pre-Construction and Construction functions. This is not a traditional construction PM role responsible for replacing the technical ownership of the Pre-Construction or Construction teams. Department leaders and subject matter experts retain ownership and accountability for their work. Instead, the PM provides the cross-functional coordination, structure, visibility, and accountability required to move complex initiatives forward across departmental boundaries. Pre-construction and construction activities inherently depend on multiple teams - including Site Development, Operations, Technology, EHS, Finance, Procurement, Legal, and external partners. The PM ensures those dependencies are identified early, responsibilities are clear, decisions occur at the appropriate time, and work across departments remains aligned to broader project and business priorities. The role gives department leadership a partner who can take complex initiatives and create the structure required to execute them effectively while allowing technical leaders to remain focused on their areas of expertise. What You’ll Do: Partner closely with Pre-Construction and Construction leadership to understand priorities, upcoming work, constraints, and cross-functional needs. Translate complex initiatives into clearly defined workstreams, tasks, milestones, owners, dependencies, and decision points. Establish and maintain visibility into current and upcoming work through the PMO project management systems and reporting processes. Identify dependencies between Pre-Construction / Construction and Site Development, Operations, Technology, EHS, Procurement, Finance, Legal, and other functions. Facilitate the cross-functional meetings required to move work forward, with clear objectives, ownership, decisions, action items, and follow-through. Connect department heads and functional stakeholders when work has broader organizational impacts or requires decisions across teams. Identify risks, stalled work, unclear ownership, resource constraints, or competing priorities and drive the appropriate conversations toward resolution. Escalate material risks and decisions to department leadership, the Head of PMO, or business leadership when appropriate. Partner with department leadership on prioritization and sequencing when multiple initiatives compete for resources or have interdependent timelines. Support capacity and resourcing discussions by providing visibility into upcoming work, workload, dependencies, and potential constraints. Ensure required Procurement, Finance, Legal, and other support-function processes are incorporated into project plans and initiated at the appropriate time. Improve communication between Pre-Construction / Construction and other departments by ensuring relevant information reaches the appropriate stakeholders and other embedded PMO PMs. Provide objective facilitation when priorities, ownership, timelines, or expectations conflict across departments. Track execution against agreed business priorities and provide leadership with clear visibility into progress, risks, decisions, and blockers. Partner with the Head of PMO and other embedded PMO PMs to consistently apply PMO standards, tools, processes, and reporting practices. What We’re Looking For: 5+ years of experience in project management, program management, construction, infrastructure, engineering, development, or a related environment. Experience coordinating complex initiatives involving multiple departments, technical teams, and business stakeholders. Working knowledge of pre-construction and construction processes sufficient to understand dependencies, sequencing, terminology, and business impacts. Strong ability to take ambiguous or complex initiatives and create structured execution plans. Demonstrated ability to facilitate cross-functional teams and create accountability without direct authority. Strong stakeholder-management skills and ability to communicate effectively with technical teams, functional leaders, and executives. Strong problem-solving skills with an ability to identify organizational gaps, dependencies, and risks before they affect execution. Experience with project/work management platforms such as Jira and related collaboration and documentation tools. Strong written and verbal communication and executive reporting skills. PMP or equivalent certification preferred. What We Offer (US): Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (11) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Opportunities to learn about the Crypto industry Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.