Вакансии

Вакансия предполагает работу на позиции Senior Data Science специалиста с полной занятостью и удалённым форматом в России. Основные задачи включают разработку сервисов для ИИ платформы, предназначенной для создания функциональных агентов и ИИ ассистентов, а также подготовку серверной части для таких агентов, включая тестирование фреймворков и работу с opensource агентами. В обязанности также входит создание сервиса управления реестром и навыками агентов, а также разработка единого сервиса для баз знаний с интеграцией крупных корпоративных источников. Кандидат должен хорошо разбираться в архитектуре и ограничениях современных языковых моделей, иметь опыт работы с embeddings, vector search, RAG, structured output и tool calling. Важны знания принципов проектирования AI-агентов, включая управление состоянием и контекстом, выбор инструментов, контроль автономности и human-in-the-loop. Требуется опыт построения evals для LLM-систем, оценки качества ответов, контроля галлюцинаций и мониторинга поведения, а также понимание рисков, связанных с prompt injection, некорректным tool calling, утечкой данных и избыточными правами доступа. Необходим опыт работы с API языковых моделей, Hugging Face и одним из orchestration-фреймворков, умение оценивать стоимость, задержки и масштабируемость LLM-решений. Желателен опыт в e-commerce, retail или других высоконагруженных продуктовых системах, а также владение инструментами Airflow, MLflow, Kafka, Redis, Kubernetes, Prometheus и Grafana. Кандидат должен иметь опыт эксплуатации GPU-инфраструктуры и оптимизации inference, а также fine-tuning или адаптации LLM, включая LoRA/PEFT. Опыт проектирования agentic workflows или multi-agent систем и понимание принципов информационной безопасности, конфиденциальности и работы с персональными данными также обязательны.

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: 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 . The AI Security team within Reddit’s Security Platform Engineering organization builds security into Reddit’s products, engineering systems, AI platforms, and operational infrastructure so the secure path is the easiest path for both people and agents. A core part of this work is developing practical, high-quality machine learning systems that detect and prevent risks such as prompt injection, jailbreaks, sensitive data exposure, and unsafe or unauthorized AI behavior. Building on Reddit’s centralized LLM Guardrails Platform, which provides a shared security and safety boundary across major products, we are expanding ML-powered protections as Reddit’s AI systems and threat landscape evolve. We are looking for a founding Staff Machine Learning Engineer to lead the development, training, and optimization of models for AI security at Reddit. This is a strategic and hands-on individual contributor role, combining deep ownership of model architecture, training data, and experimentation with technical leadership across teams. You will help Reddit deliver stronger AI protections while preserving a high-quality product experience. How You’ll Have Impact Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems. Build reproducible training and evaluation pipelines on Reddit’s ML platform, partnering with platform engineers to improve inference performance, resource efficiency, and operational reliability. Set the technical vision and multi-quarter modeling roadmap, partnering with cross-functional teams to gather requirements, define model architectures, and iterate on model development. Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness, and define launch criteria that balance false positives, latency, throughput, reliability, and cost. Own training-data quality and the production model lifecycle, using monitoring, incident findings, and red-team feedback to guide dataset improvements, retraining, and safe rollout or rollback. Establish best practices for responsible ML development and deployment, including reproducible experiments, testing, model and data lineage, and privacy-aware data use. Stay current with research in NLP, large language models, and relevant multimodal techniques, translating promising advances into measurable model improvements. Mentor engineers and lead technical discussions and reviews, shaping the team’s long-term ML capabilities and AI security direction. Who You Might Be 8+ years of experience developing machine learning models, with substantial hands-on model training experience, demonstrated production impact, and a record of leading complex initiatives across teams. Strong background in Python programming, software engineering, and deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Deep understanding of neural network architectures and optimization, with proficiency in data preprocessing, tokenization, embeddings, language modeling, and model calibration. Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, with a strong understanding of hardware and system tradeoffs. Demonstrated rigor in experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis to diagnose training issues, bias, and generalization gaps. Excellent written and verbal communication, with the ability to explain model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners. Preferred Qualifications Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains. Experience with adversarial training, model distillation, active learning, or synthetic-data generation to improve model quality, robustness, and training efficiency. Benefits: 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-Remote 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: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a FCC Investigator, your mandate is to protect the safety of our customers by implementing the procedures and controls we have in place. This role will impact OnePay’s vision by fundamentally assisting in the development of a durable program, and the effectiveness of our financial crime compliance program. You will work closely with the Risk and Fraud team(s) working on daily monitoring and taking action on suspicious transaction alerts, and using strong investigative and analytical skills to decision alerts and escalate them as appropriate. This role reports to the FCC program manager. This role is responsible for: - Performing investigation to identify financial crime typologies - Monitoring of sanctions and PEP screening alerts - Drafting suspicious transaction reports - Providing advice and analysis of observed ML/TF typologies and trends to identify potential areas of risk - Perform quality control reviews of sanctions and suspicious transactions alerts and reports - Participating in transaction monitoring system tuning tests - Additional duties as assigned by your manager YOU BRING - 4+ years of experience - An act-like-an-owner mentality. We have a bias toward taking action. - Strong investigations experience with ability to tie disparate red flags and to effectively document conclusive results - Past experiences implementing BSA/AML program improvements a plus - Ability to synthesize transactional behavior through different views of transaction data set (e.g. chronological and pivoted summary data) - Self-starter, able to anticipate management needs, and comfortable working in a dynamic environment - Meticulously organized with ability to successfully manage disparate assignments in parallel - Results-oriented and analytical, with ability to work independently and adaptively, to anticipate and mitigate friction points, and to take action to promptly resolve and learn from challenges - Ability to work closely and communicate effectively with colleagues in all functions at all levels who are working remotely - Skilled in both written and verbal communications with all levels of an organization - CAMS or current candidacy a plus WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

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 The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.   WHAT YOU’LL DO - End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring - State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers - Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference - Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods - Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features   WHAT YOU NEED - B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must. - Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization - Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions - Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.) - SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse) - Practical Experience: track record of curating datasets and building/evaluating ML models - Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative - Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate   NICE TO HAVES - Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field - Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code - Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)   COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend   RAMP BENEFITS - Apple MacBook - Catered lunches in NYC office Monday-Friday - Weekly coffee stipend 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: San Francisco, California; Los Angeles, California; San Diego, California Workplace: Remote Temporal is a paradigm shift in modern application development, and one of the fastest developer movements in recent memory. We recently raised our $550M Series E to power the future of durable applications, and have become the orchestrator of choice for production agentic workloads. In this role, you will own key accounts, navigate complex organizations and sell to highly technical stakeholders. You will lead with our hybrid value proposition, helping customers adopt both Temporal Cloud and self-hosted Temporal to meet their unique operational, regulatory, and performance requirements. As a strategic partner to these organizations, your focus will be to guide them through adoption of Temporal as an enterprise-wide standard, leading with a services-first engagement model. You will work closely with our Resident Architects, partners, and cross-functional teams to deliver a unified enterprise experience that builds stakeholder trust and drives delivery against key business and technical objectives. Come work with some of the brightest minds in the tech industry and help transform how modern applications are built. You will contribute to the growth of a category-defining company at the forefront of innovation.   WHAT YOU'LL DO - Own and manage the entire sales lifecycle, from prospecting to close, with a focus on acquiring and expanding our presence within strategic accounts - Develop and execute strategic account plans to land and expand within large enterprise organizations - Position Temporal as a mission-critical platform supporting high-performance, resilient workloads with strict SLA and uptime requirements - Engage with technical stakeholders to understand their operational needs and map Temporal solutions to their architecture and requirements - Navigate conversations around infrastructure, security, compliance, and performance across both SaaS and self-hosted environments - Drive enterprise adoption by aligning Temporal to business continuity, scalability, and developer productivity initiatives - Identify and expand high-value opportunities by embedding Temporal into the customer's platform and SDLC ecosystem WHAT YOU'LL BRING - 10+ years of enterprise software sales experience, with a track record of selling technical platform solutions to engineers, architects, and executives - Experience navigating infrastructure and platforms in enterprise environments with a focus on positioning solutions to mission-critical use cases - Ability to sell services engagements, positioning enablement, certification, and long-term operational success as the foundation of a strategic partnership - Proven success closing deals within large, multi-stakeholder enterprise organizations with a track record of achieving or exceeding sales targets - Strong understanding of cloud, infrastructure, and developer tooling ecosystems - Comfort operating cross-functionally across Sales, Marketing, Product, Engineering, Legal and Solutions Architecture to support growth within key accounts - Familiarity with consumption-based pricing models and their implications for enterprise procurement - Outstanding communication and negotiation skills, with the ability to present complex technical concepts to both technical and executive audiences - Entrepreneurial mindset with a passion for solving large-scale customer challenges in a fast-paced, high-growth environment Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

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 Ramp is looking for a Performance Marketing Manager to own paid acquisition on YouTube, ChatGPT, X, Rideshare, and Reddit, and to find new incremental channels. You'll take early experiments and turn them into measurable programs and build the operating model that makes successful channels part of Ramp's evergreen performance marketing mix. This is a high-autonomy role. You will evaluate channel opportunities, design tests, launch campaigns, and analyze full-funnel performance. You'll work with Growth, Creative, Data, Finance, and other cross-functional partners to move quickly while maintaining a high bar for measurement & efficiency. You’ll use AI as a practical part of the job: building systems that speed up research, campaign creation, performance analysis, and day-to-day channel operations. WHAT YOU'LL DO - Own performance on YouTube, ChatGPT, X, Rideshare, and Reddit. Understand how conversion events, value signals, and lookalike audiences work at a technical level and use that to make channels more efficient over time. - Identify, evaluate, and prioritize new performance marketing channels and acquisition opportunities. - Build the path from experiment to evergreen program: prove incremental SQLs and pipeline impact, hit LTV-to-CAC efficiency targets, and document a repeatable operating playbook. - Own channels as they mature. Decide when a program stays with you and when it transitions to a dedicated owner so you can keep finding new ones. - Analyze performance across the full funnel. Turn incomplete or noisy data into a clear call on what to scale, improve, pause, or stop. - Partner with data and engineering to improve tracking, attribution, and reporting, and with Creative on messaging, format, and ad concepts across surfaces, audiences, and channels. - Build AI agents, workflows, and tools that help the team test more ideas and operationalize channels faster. WHAT YOU NEED - 3+ years in a performance / quantitative marketing, growth, or comparable decision-science role, where you’ve owned numbers and shaped meaningful outcomes. - Strong analytical judgment. You can define success metrics, diagnose and isolate performance issues, and make decisions with imperfect information. - You enjoy designing experiments and translating results into a clear call on what to fund, scale, or kill. - You've built AI workflows, automations, or agents to improve marketing execution and you have good judgment about where AI accelerates the work and where human review is necessary. - You move projects from ambiguity to a clear outcome with limited direction and you're detail-oriented in campaign setup, tracking, and measurement. NICE-TO-HAVES - B2B experience. - Experience bringing an experimental channel into a scaled program. - Familiarity with attribution, incrementality testing, randomized controlled tests (RCTs), MMM, and marketing measurement. 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: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for software engineering interns who are excited to make an impact across different layers of our product and infrastructure. At Figma, we pair interns with teams that align with their skills and interests. This year, we're inviting you to share your interests from the start, so we can create the strongest possible match. Our interns are embedded into small, collaborative engineering teams across the company. You’ll work closely with your mentor and teammates to ship meaningful features, tools, or systems. Whether you're working on internal infrastructure or user-facing features, you’ll get to learn, contribute, and grow in a supportive environment. This internship will be based out of our London Hub with a 5/3, 5/17, 6/1 or 6/14 start date. Engineering Interests at Figma: When you apply, you'll tell us which areas you're most interested in to help us understand which kinds of engineering work you're most excited about: Product: Build full stack user facing features, including new collaboration tools, new product workflows, growth oriented experiments, and more Platform/Infrastructure: Build platform level tools, including distributed systems, developer tooling, performance/scalability work, and more Security Engineering: Build security-focused systems, product security tooling, detection, secure infrastructure, or privacy/security features Open: I’m flexible and still exploring different types of work What you'll do at Figma: Join a small engineering team as a full member of the team, with your own project and mentor Contribute to projects that directly align with team goals and impact Collaborate with engineers, PMs, designers, and QA to break down features and plan timelines Build, document, and maintain tests, features, or infrastructure Share feedback and participate in peer code review Ship your project(s) by the end of your internship! Some past intern projects: Diagramming improvements in FigJam Smart selection Shared fonts We’d love to hear from you if you have: Experience writing clean code in at least one general-purpose language (e.g. C++, JavaScript, Python, Java, etc.), with a solid grasp of core CS concepts like data structures and algorithms Experience solving technical problems through school, work, or personal projects Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code Demonstrated curiosity about how systems are designed and operate, from infrastructure to UI Strong communicator who asks great questions, collaborates well with others, and is excited to learn, get feedback, and grow as an engineer At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for software engineering interns who are excited to make an impact across different layers of our product and infrastructure. At Figma, we pair interns with teams that align with their skills and interests. This year, we're inviting you to share your interests from the start, so we can create the strongest possible match. Our interns are embedded into small, collaborative engineering teams across the company. You'll work closely with your mentor and teammates to ship meaningful features, tools, or systems. Whether you're working on internal infrastructure or user-facing features, you'll get to learn, contribute, and grow in a supportive environment. This internship will be based out of our San Francisco or New York Hub with a 5/3, 5/17, 6/1 or 6/14 start date. Engineering Interests at Figma: When you apply, you'll tell us which areas you're most interested in to help us understand which kinds of engineering work you're most excited about: Product: Build full stack user facing features, including new collaboration tools, new product workflows, growth oriented experiments, and more Backend/Infrastructure: Build platform level tools, including distributed systems, developer tooling, performance/scalability work, and more Security Engineering: Build security-focused systems, product security tooling, detection, secure infrastructure, or privacy/security features Open: I'm flexible and still exploring different types of work What you'll do at Figma: Be fully embedded onto a Figma engineering team Contribute to projects that directly align with team goals and impact Collaborate with engineers, PMs, designers, and QA to break down features and plan timelines Build, document, and maintain tests, features, or infrastructure Share feedback and participate in peer code review Ship your project(s) by the end of your internship! Some past intern projects: Diagramming improvements in FigJam Smart selection Shared fonts We'd love to hear from you if you have: Experience writing clean code in at least one general-purpose language (e.g. C++, JavaScript, Python, Java, etc.), with a solid grasp of core CS concepts like data structures and algorithms Experience solving technical problems through school, work, or personal projects Are excited to explore how systems are designed and operate, from infrastructure to UI Strong communicator who asks great questions, collaborates well with others, and is excited to learn, get feedback, and grow as an engineer While it’s not required, it’s an added plus if you also have: Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $55 — $55 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA About the role Chime serves millions of members on a mission to help them unlock financial progress. Chime’s Lending org builds the products and platforms that give members access to fair, transparent credit and liquidity when they need it most, from Earned Wage Access through MyPay, to flexible overdraft with SpotMe, to longer-term Instant Loans, and the platforms that power credit decisions, funding, repayments, and servicing behind the scenes. We operate some of Chime’s most consequential systems. Our teams build real-time money movement and decisioning infrastructure at scale, including underwriting and eligibility, ledgering and reconciliation, capital markets workflows, repayment systems, and financial transactions that must be correct, resilient, and auditable. Why this role A meaningful problem. Helping engaged members get more value over time is one of the highest-leverage things we can do for members and for the business. Real ownership. This is a newer team with clear executive support and meaningful surface area. You'll have room to shape both the technical direction and the team itself. Strong cross-functional partners. You'll work day-to-day with senior Product, Analytics, Marketing, Design, and Data leaders who are deep in the problem. A team to build. You'll hire, coach, and grow a group of engineers, and define the culture as it scales. In this role, you can expect to Author and ship scoped, incremental features hands-on Own the squad's technical direction, architecture, and code quality — leading technical design discussions, code reviews, and technical planning, with support from the team and Tech Leads Identify technical debt and advocate for sustainable engineering practices as an active, ongoing codebase contributor Provide full people management for 3–5 direct reports, including 1:1s, career coaching, performance feedback, and promotion decisions Drive hiring and staffing for the squad, building an inclusive, high-performing team and owning its health and engagement, with support from the Director of the area Mentor product engineers on technical and product growth, modeling ownership and craft Build a path for engineers on the squad toward Staff Engineer or a future TLM role Partner with Product and Design on sprint scope and delivery commitments, surfacing technical dependencies and capacity needs into quarterly planning To thrive in this role, you Have direct experience in lending, payments, or other regulated financial/transactional systems Have managed engineers directly with full people-management ownership (1:1s, career coaching, performance feedback, promotion decisions, hiring) for a small team, while staying hands-on technically yourself Use AI coding tools and workflows as a core part of how you build and lead, with a track record of introducing AI-driven practices that measurably improved a team's velocity Can tie-break technical disagreements and make speed-vs-durability calls under real delivery pressure, while partnering closely with a PM and Design on scope, dependencies, and quarterly planning Have a bias toward ownership and action over process, and are comfortable being the one person accountable for both what ships and how the team is doing You hold a high quality bar through design and code review rather than delegating it entirely #LI-Onsite #LI-AC2 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 $199,000 — $275,000 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: Palo Alto Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE We're hiring a Technical Program Manager to partner with Mistral's code and vibe research team - the researchers shaping how our models write, reason about, and play with code. You'll be their operational counterpart - the person who absorbs what the team is working on and makes it legible to the team, to leadership, and to adjacent teams. This isn't a coordination role. It's a research partnership role - embedded with the team, fluent in what they're building, and operationally responsible for everything that isn't the science itself. The ideal candidate is someone who is genuinely excited about code models. You play with them. You have opinions about what makes them feel good to use. You read the papers because you want to, not because you have to. A research background is a plus but not required - what matters is that you care about this domain and can hold your own in a room full of researchers working on it.   WHAT WILL YOU DO - Research Visibility: Partner with the team to maintain a shared, accessible view of their ongoing work - what's in flight, where it's heading, what's ready to hand off. Make the research legible to adjacent teams and leadership without pulling researchers into status work. - Operational Partnership: Be the team's operational partner. Handle the coordination, resourcing, and cross-team conversations that would otherwise sit on researchers' plates - so the team can stay focused on the science. - Research-to-release: Own the operational path from research work to release candidate for code and vibe workstreams. Partner with the release function to ensure the team's work flows cleanly into Mistral's release machinery. - Visibility & Communication Cadence: Code and vibe research connects to many other efforts across the organization. Keep these interfaces clean and high-signal, so the team's work integrates naturally with the wider science org. - Strategic Communication: Translate the team's work into clear, well-timed updates for leadership and adjacent teams - what's being built, what matters, what's coming next.   WHAT WE'RE LOOKING FOR - Genuine enthusiasm for code models and coding assistants - you play with them, push them, have opinions about them - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience - 3+ years of experience in technical program management, operations, or research coordination - Strong analytical skills; comfortable working in ambiguity and shaping it into structure - Ability to engage substantively with research work and build real credibility with technical teams - Excellent written and verbal communication; able to translate technical detail into clarity for different audiences Nice to have criteria/ would be ideal if you have/are:   - Experience in research-heavy or ML/AI organizations - Familiarity with code generation, coding agents, software engineering benchmarks, or related research areas - Hands-on experience with modern coding tools - you're a user, not just an observer - Track record of building systemic processes from the ground up - Comfort working in fast-paced, high-ambiguity environments where priorities shift quickly   WHY JOIN US? - Shape how frontier AI is built and released: You’ll design and operate the systems that connect scientific discovery to real-world deployment - ensuring our work scales with clarity, reliability, and speed - Work inside the Science OS: Join a team building the operational backbone of Mistral’s science organization - where structure meets creativity and processes evolve through use, not bureaucracy - Drive visible, high-leverage impact: Your work will sit at the intersection of research, engineering, and leadership - turning complexity into alignment and enabling confident, data-informed decisions across the company   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London Office Workplace: Hybrid OUR STORY Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month. As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team. ROLE OVERVIEW We're looking for a Senior Account Manager to join the London team, owning our relationship with flagship enterprise accounts. This role owns strategic customer relationships and serves as a trusted advisor throughout the customer's journey with Pointr — partnering closely with customers and internal teams to drive adoption, demonstrate measurable value, support renewals, and identify opportunities for long-term growth. This is a highly collaborative role for someone who enjoys building executive relationships, solving complex customer challenges, and helping customers achieve meaningful business outcomes. Alongside owning existing strategic accounts, this role will also take ownership of new business opportunities generated through inbound interest across the EMEA region, qualifying and closing new customer relationships in addition to managing the existing portfolio. WHAT YOU'LL DO - Own a portfolio of enterprise customer accounts, building strong relationships and driving long-term success. - Qualify, run, and close new business opportunities from inbound interest across the EMEA region, owning the full sales cycle from first contact through signature. - Serve as the primary customer partner for adoption, value realization, renewals, and account growth. - Develop account strategies that align customer goals with Pointr's solutions and capabilities. - Build compelling value narratives by connecting product adoption and outcomes to business impact. - Identify opportunities for expansion by understanding customer needs and introducing relevant products and capabilities. - Lead executive business reviews and strategic account discussions with senior stakeholders. - Proactively identify account risks and develop action plans to improve customer health. - Coordinate cross-functional teams including Marketing, Pre-Sales, Project Management, Product, Analytics, and Finance to deliver exceptional customer experiences. - Partner with internal stakeholders to ensure successful delivery and continued customer growth. WHAT SUCCESS LOOKS LIKE - First 90 days: build genuine rapport with your accounts, and develop a clear understanding of their roadmaps and where Pointr fits into them. - 6 months: measurably improved engagement on both accounts, the renewal secured, and expansion conversations underway. - 12 months: fully embedded with your accounts: they're set up for growth, and the relationship runs smoothly without needing to be chased. WHAT WE SEEK - 6–10+ years of experience in enterprise account management, customer success, partnerships, or enterprise sales within complex B2B environments. - Experience managing strategic enterprise accounts within SaaS, technology, or platform-based businesses. - Comfortable owning new-business sales — qualifying inbound leads, running a full sales process, and closing new logos — alongside managing an existing account portfolio. - Proven ability to build trusted relationships with multiple stakeholders, including executive-level customers. - Experience supporting renewals, expansions, and customer growth initiatives. - Strong understanding of customer value, commercial outcomes, and account strategy. - Excellent communication and relationship-building skills. - Ability to collaborate effectively across technical, commercial, and operational teams. - Strong organizational skills with the ability to manage multiple priorities. - Professional fluency in English, both written and verbal. - Right to work in the UK, or eligibility to obtain it, without company sponsorship (see Right to Work section below). - Willingness to travel up to approximately 20% of the time for customer meetings, QBRs, and events across the EMEA region. PREFERRED QUALIFICATIONS - Experience in enterprise SaaS, location technology, events, hospitality, or venue technology. - Experience managing complex customer implementations or multi-team delivery environments. - Familiarity with CRM, customer success, and project management platforms such as Monday or Jira. - Bachelor's degree preferred or equivalent professional experience. WHAT WE OFFER - A supportive, kind (no-ego), and smart team - International environment and inclusive culture - Competitive base salary, EMI stock options, and uncapped renewal commission - Private medical and dental insurance - Workplace pension with an employer contribution above the statutory minimum - 20 days' annual leave plus UK bank holidays (28 days total), and company sick pay - Company-enhanced maternity, paternity, and shared parental leave Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us. COMPENSATION Base salary: £72,000–£88,000, based on experience and market, plus uncapped renewal commission with an on-target value of £18,000–£32,000 (total on-target earnings £92,000–£120,000). Where a candidate falls in the range depends on directly relevant enterprise account management experience and the complexity of accounts previously managed. RIGHT TO WORK Applicants must have the right to work in the UK for the duration of their employment. In line with the Immigration, Asylum and Nationality Act 2006, we will ask successful candidates to provide evidence of their right to work in the UK before employment begins. This role is not currently budgeted for visa sponsorship; please note this before applying if sponsorship would be required. #LI-HYBRID Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.   WE SUCCEED TOGETHER Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback. We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together. We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do. We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech hiring@pointr.tech. A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team. On our end, we utilize a platform called Granola as a notetaker and review tool to ensure a fair and transparent hiring process. Beware of scammers! All legitimate communication from Pointr regarding your application will come directly from an @pointr.tech http://pointr.tech email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) 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 As an Account Executive, Enterprise at Ramp, you are a proven hunter & sales closer with track record of quota attainment and overachievement. We believe strongly in our value proposition of aligning incentives with our customers and you will bring it to life through the sales process with C-Level executives and key decision makers. As an early member of the team, you will also have the opportunity to help build the sales engine and define the sales strategy that fuels the growth of the company! WHAT YOU’LL DO - Drive revenue for Ramp, owning the entire sales cycle through close - Develop strategies for closing opportunities within your assigned territory - Leverage sales methodologies to uncover customer needs and pain points - Articulate Ramp’s value proposition by using the appropriate sales qualification standards - Own sales activity and monthly revenue forecasting in Salesforce - Collaborate with product, design, and engineering teams to incorporate customer feedback WHAT YOU NEED - Minimum 6 years of quota-carrying direct SaaS sales experience in a full cycle closing role with strong prospecting, qualifying, negotiating, and closing skills - Experience closing upwards of 20 deals a quarter, with an average deal size about 50K in ACV - Ability to discuss Ramp's value proposition with C-level executives, finance teams, and decision makers - Experience with outbound prospecting and conducting product demonstrations - Consultative sales approach and comfortable leveraging analytical & quantitative skills - Consistent track record of hitting or exceeding sales targets in a fast-paced environment - High adaptability and understanding of change within the evolution of a startup - Excellent verbal and written communication skills NICE TO HAVES - Experience selling financial services 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

Задачи: — Back end разработка на Node.js; — Работа над развитием и поддержкой программного продукта; — Анализ запросов от технической поддержки; — Анализ проблем на конкретных объектах; — Проектирование задач для разработки нового функционала системы; — Покрытие кода Unit тестами; — Ведение разработки согласно жизненному циклу ПО и правилам команды; — Совместная работа в команде из 20 человек: аналитики, системные, back и фронт разработчики, тестировщики, продакт менеджеры, технический писатель, техподдержка, схемотехники. Требования: — Опыт коммерческой разработки от 5 лет; — Высшее техническое образование; — Уверенное владение Node.js; — Уверенное знание баз данных; — Опыт работы с Redis; — Понимание принципов сетевого взаимодействия; — Знание концепций SOAP и REST; — Понимание принципов ООП, паттернов проектирования, алгоритмов и структур данных, следование принципам SOLID; — Понимание особенностей embedded разработки; — Опыт работы с CI/CD и понимание основных принципов; — Опыт работы в команде полного цикла разработки. Условия: — Официальное оформление по ТК РФ, социальные гарантии, выплата больничных и отпускных; — Достойный уровень оплаты труда (по результатам собеседования); — Работа над социально значимыми продуктами в области систем безопасности; — Растущий продукт, сильная техническая экспертиза, опытные коллеги из международных компаний; — Уникальный проектный опыт, разнообразные задачи и проекты; — Работа в гибридном или офисном формате; — Поддерживающая атмосфера и приятный микроклимат в компании.

Задачи: — разработка и развитие веб-интерфейсов для AI-ассистента на TypeScript/React — разработка backend-сервисов на Node.js/TypeScript — разработка механизмов взаимодействия AI-агентов с кодовой базой и инструментами разработки — интеграция LLM / AI API — проектирование и реализация RESTful API и GraphQL сервисов — разработка механизмов контекстного анализа кода — оптимизация производительности и UX взаимодействия AI-ассистента с разработчиком — работа с WebSocket и Server-Sent Events для real-time коммуникации. Требования: — от 4 лет коммерческой разработки на TypeScript/JavaScript — хорошее понимание асинхронного программирования и event-driven архитектуры — опыт работы с Node.js — глубокое понимание TypeScript (типы, дженерики, декораторы) — понимание принципов работы AI / LLM систем — опыт интеграции внешних API и сервисов — понимание архитектуры веб-приложений и многоуровневой архитектуры — опыт проектирования архитектуры сложных систем. Будет плюсом: — знание Rust/Golang — создание Desktop приложений (tauri/electron) — опыт разработки AI-ассистентов для программистов — опыт разработки agentic AI-систем — опыт работы с LLM (OpenAI / open-source модели / RAG / embeddings) — понимание контекстного анализа кода — опыт разработки IDE-плагинов на JavaScript/TypeScript — опыт работы с Websocket и real-time системами — инструментальное владение AI для анализа, генерации и автоматизации — опыт создания AI-агентов и использования их в работе — опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Условия: — работа над AI Developer Platform нового поколения — разработка agentic AI-систем для программистов — сложные инженерные задачи на стыке IDE, анализа кода, AI и веб-интерфейсов — возможность влиять на архитектуру и развитие продукта — работа с современными LLM и AI-инфраструктурой — гибкий формат работы и конкурентную компенсацию — годовой бонус и ежегодный пересмотр зарплаты — расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа — статус аккредитованной ИТ-компании со всеми преимуществами (отсрочка от срочной службы) — льготная ипотека для сотрудников, подписка Прайм, скидки от партнеров и сервисов группы компаний — корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях — реферальная программа (бонус до 100 000 рублей).

О проекте Промышленная видеоаналитика. Ядро уже работает - детекция, трекинг, распознавание лиц, детектор СИЗ, API и веб-интерфейс. Нужно довести систему до продакшн внедрения. Задачи: - Довести распознавание лиц до измеримого качества: разметка, калибровка порогов, метрики FAR/FRR - Устойчивое отслеживание - Оптимизация производительности пайплайна под CPU-only сервер для оффлайн обработки - Обучение и дообучение детекторов на собственных данных, организация разметки Требования - Уверенный Python + Go, опыт с ONNX/ONNX Runtime (экспорт, opset, оптимизация latency на CPU, а не GPU serving) - Опыт с YOLO - Face detection/recognition пайплайны (детектор + embedding + порог по cosine similarity) - Опыт с OpenCV DNN/Zoo моделями плюс - Object tracking (IoU/ByteTrack-подобные трекеры, multi-object tracking metrics, ID switches)

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Applied Scientist, you’ll be embedded in the Applied Science team. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. What you will do Ship production algorithmic systems end-to-end, from problem framing to launch to iteration Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are two problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. What we're looking for A Bachelor's or Master's degree (in progress) in Computer Science, Mathematics, Statistics, Economics, or a related STEM field, with an expected graduation date of Fall 2026 or Spring 2027. A bias toward action, quickly translating ideas into working prototypes to test approaches. Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them. A solid command of the methods your work calls for and the data your models depend on. Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem. Strong communication skills, with the ability to present your work clearly to senior stakeholders. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The target base comp range for this role is $150,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco, CA, United States, Redwood City, CA United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU The Solutions Engineering Team at Box includes solutions engineers, value engineering, platform solution engineering, enterprise architects, and demo engineering.  As a Solutions Engineer, you are empowered to sell to business and IT leaders in every space and vertical, and take ownership in crafting customer-centric solutions. You will work alongside the account team to define and expand revenue opportunities, and ensure the solution is ready for cross company deployments. You also act as a critical liaison between Sales and Product; sharing customer feedback with the Product Management, Operations and Engineering functions at Box. Our highest performers have a natural curiosity, develop deep knowledge of the Box platform, have a strength in delivering value and story based demonstrations, and are capable of leading presentations related to the Box security story, technical architecture and product configuration. This role is in the San Francisco office, supporting Enterprise clients to expand our footprint and break into new accounts. If you are curious, passionate about problem-solving and enjoy working with leading-edge technology, we encourage you to apply. WHAT YOU'LL DO You research, explore and identify customer business problems; you’ll think like a builder and experiment, iterate, and refine to make every customer experience exceptional You own the technical win in your account, and take responsibility for driving the technical deal forward Understand product integrations and MCP servers You lead demos articulating the value of Box selling the full suite of solutions (BoxAI, Box Web, Mobile, Shield, Relay, Sign, Governance, Canvas, Platform, and more) Technical quarterback managing the extended team from a solution standpoint Ability to showcase strong business acumen and communicate the value of the Box solution to the customer You support field marketing events as a Box SME and presenter Travel up to 50% to engage with customers in territory WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 4 year degree or equivalent work experience required 5+ years of pre-sales, solutions engineering, or technical consulting experience within SaaS, enterprise software, AI, or cloud platforms Proven experience with Enterprise Content Management (ECM) systems, architectures, and content lifecycle workflows You’re AI-curious and technically fluent — comfortable discussing LLMs, embeddings, automation, and context and prompt engineering concepts with both technical and business audiences Strong presentation skills, with the ability to establish trust across a range of technical and non-technical audiences; passionate about showing, not just telling and designing demos and narratives that make the power of Box AI tangible Ability to learn, understand and communicate complex technical concepts and develop skills to create compelling solutions that demonstrate business value Displays follow through, stamina and effort in every step of the sales cycle Shows creativity when solving a customer's business problem; you experiment, iterate, and refine to make every customer experience exceptional Familiarity with APIs, webhooks, languages, and modern architectures (REST, OAuth, JSON, Python, Javascript etc.) is a plus Experience working with low-code, no-code automation such as Nintex, Zapier, Workato, and n8n Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-HYBRID Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $192,500 — $240,500 USD