Вакансии

Задачи: — Реформировать и развивать команду ML/MLops вместе с промпт инженерами. — Структуризировать и автоматизировать все требующие того процессы. — Оптимизировать генеративные пайплайны для сокращения расходов отдела. — Самолично ставить продуктовые цели и вести отдел на острие технологий, методологий и трендов для их достижения. — Вести задачу целиком — от запроса продукта до оценки результата после релиза. — Управлять командой: ставить задачи, контролировать прогресс, помогать в сложных кейсах, проводить one-to-one и ревью. — Участвовать в найме и онбординге новых инженеров, помогать им быстрее выходить на результат. — Выстраивать и улучшать процессы внутри команды: стандарты, шаблоны, документация. — Работать с LoRA: подбирать, тестировать и при необходимости обучать модели. — Самостоятельно разворачивать staging, включая нестандартные ноды, и поддерживать его паритет с production. — Создавать и дорабатывать промпты и workflow, проводить тестовые генерации и сверять результат с эталоном. — Готовить превью, карточки и выкладывать готовый контент. — Автоматизировать рутинные процессы с помощью AI-агентов. — Контролировать метрики своих позиций, проводить эксперименты и принимать решения по их результатам. Требования: — Опыт работы в ML/AI от 3 лет. — Опыт руководства командой — умение ставить задачи, распределять нагрузку, проводить ревью и развивать сотрудников. — Опыт выстраивания процессов разработки: планирование, декомпозиция задач, код-ревью, контроль качества и сроков. — Опыт работы с ComfyUI и собственными workflow, уверенный Python на уровне скриптов и API. — Готовность работать с Wan 2.2, i2v, LoRA и генеративными пайплайнами. — Умение получать рабочий результат с помощью AI-агентов и проверять его качество. — Готовность самостоятельно разбираться в новых этапах процесса и отвечать за задачу целиком. — Портфолио или репозиторий с примерами работ и разбором решений. Условия: — Работа с уникальными и технически сложными AI-проектами. — Реальное влияние на развитие ML-продуктов и команды. — Гибкий график и удалённый формат работы. — Среда, где решения принимаются на основе экспертизы и Data-driven подхода.

Location: Long Beach, United States Your Mission on the Team: You will be responsible for the overall design and development of satellites for the Meridian Space constellation, from concept through on-orbit operation. This includes top level design, risk and cost assessment, systems engineering, testing and operations. As part of a small team tackling ambitious challenges, you’ll take full ownership of satellite performance in orbit - driving each phase of development to ensure mission success and dependable service delivery. Basic Qualifications: 5+ years professional design/development experience in satellite systems. Proven experience as a leader on at least one satellite program. Skill in using and creating software tools to model systems performance across a variety of disciplines (MATLAB, Python, Excel, etc.) Strong understanding of satellite technologies, design principles, and concepts of operations Bachelor’s degree in aerospace engineering or related field Strong interpersonal, verbal, and written communication skills Preferred Qualifications: 10+ years professional design/development experience in satellite systems Master's degree in Electrical or Systems Engineering, or related field Previous experience with spacecraft and/or space mission top level design Previous work on small LEO satellites Breadth of experience leading satellite systems development and testing Experience with creating satellite simulations and models Satellite operations experience

Location: Kyiv, Ukraine Workplace: Hybrid [https://app.ashbyhq.com/api/images/user-content/eaa93aea-4a8e-480b-ac45-957f53a8b99b/230615d5-1e71-4618-8216-a6082a6261ae/Holy%20earth.png] HOLYWATER TECH https://holywater.tech/ — це технологічна компанія, яка створює розважальні продукти на перетині людської творчості та штучного інтелекту. Вони є прикладами ШІ-нативних платформ, що переосмислюють способи сторітелінгу та дають змогу будь-кому стати творцем. Екосистема продуктів HOLYWATER TECH включає: → My Drama https://apps.apple.com/us/app/my-drama-watch-shorts-movies/id6498713494 — стримінгову платформу вертикальних серіалів, №1 серед європейських та американських компаній у ніші → My Passion https://apps.apple.com/us/app/my-passion-romance-books/id1568149521 — цифрову бібліотеку книг №1 у понад 10 країнах світу → My Muse https://apps.apple.com/ua/app/my-muse-audiobooks-stories/id6738098034 — платформу ШІ-генерованих серіалів, що відкриває нову еру сторітелінгу ___________________________________________________________________________ HOLYWATER TECH СЬОГОДНІ — ЦЕ: - понад 100+ млн завантажень застосунків - стратегічне партнерство з FOX Entertainment - х2 рази — щорічне зростання компанії за 2024-2025 роки - 30+ міжнародних нагород, зокрема Muse Creative, W3, Telly, Runway AI Film Festival, Lovie - понад 100 млн годин переглянутого та прочитаного користувачами контенту - провідні позиції у своїх нішах на ринках США та Європи ___________________________________________________________________________ Ми створюємо нові формати, історії та будуємо світ, де єдине обмеження — людська уява. І зараз шукаємо Middle Data Engineer, хто готовий/-а долучитися й творити його разом із нами. ТВОЯ МІСІЯ: Підсилити Data Engineering команду, яка росте разом із новими продуктами та задачами. Тут майже немає legacy, багато автономії та простору для технічного зростання. Поруч — сильний зовнішній Tech Lead для менторингу, а команда працює в AI-first середовищі. Ти будеш: - Розробляти нові data pipelines, моделі та фічі. - Підключати нові джерела даних та будувати інтеграції. - Працювати з Data Warehouse та великими обсягами трансформацій даних. - Підвищувати надійність пайплайнів, працювати з інцидентами та їх причинами. - Оптимізувати інфраструктурні витрати. - Використовувати AI як частину щоденної розробки. ___________________________________________________________________________ ДЛЯ ЦЬОГО ЗНАДОБЛЯТЬСЯ ТАКІ НАВИЧКИ ТА ДОСВІД: - Python, SQL та dbt. - Досвід роботи з аналітичними базами даних: BigQuery, Snowflake, Redshift або аналогами. - Практичний досвід побудови Data Warehouse та data transformation pipelines. - Досвід побудови extraction pipelines з використанням API, Webhooks, GraphQL. - Досвід роботи з cloud infrastructure та IaC. - Активне використання AI у розробці. ___________________________________________________________________________ ЩО ОТРИМАЄШ ВІД НАС: - Швидке професійне зростання. Ми будуємо середовище, де розвиток — норма: лекції, бібліотеки, хакатони, школи. Компенсуємо профільне навчання й вивчення будь-якої мови, зокрема української. - Формат роботи на твій вибір. Можеш працювати вдома, в офісі на київському Подолі чи у Львові (генератори, укриття, обіди, снеки — all inclusive), або ж за кордоном — маємо кілька офісів і там. - Техніку та сервіси. Все, що треба для роботи. - Відпочинок. 20 днів відпустки + на офіційні свята та безлімітні лікарняні. - Турботу про тіло та менталку. Компенсуємо спорт, медстрахування в Україні (після випробувального), послуги корпоративного лікаря і підтримку ментального здоров’я& ___________________________________________________________________________ ЧОМУ З НАМИ КЛАСНО? - Реальний вплив. Твої рішення впливають на 100+ млн користувачів — їхній досвід, емоції та час, який вони проводять у продукті. - Жива культура. Ми створюємо середовище, де можна експериментувати й пробувати щось нове. Середня оцінка відповіді на питання «Наскільки тобі подобається працювати в HOLYWATER?» за результатами eNPS — 9,23/10. - Автономність. Ми довіряємо рішенням команди: мінімум мікроменеджменту, максимум простору для ініціативи й впливу. - Сильні люди поруч. Ми постійно челенджимо статус-кво та досягаємо нових вершин. Думати інакше й прагнути більшого — тут це підтримають. Можливо, це — твій шанс стати нашим наступним big name? ___________________________________________________________________________ ХОЧЕШ БІЛЬШЕ ПРО HOLYWATER TECH? ЧЕКНИ ЦЕ: Як працює HOLYWATER TECH — на Vector Media https://vctr.media/ua/vid-banochki-svyatoyi-vodi-zi-lvova-do-ugodi-z-fox-entertainment-yak-praczyuye-holywater-startap-yakij-buduye-netflix-dlya-vertikalnogo-video-318305/ Інтерв’ю со-CEO Богдана Несвіта https://www.linkedin.com/in/bogdannesvit/ про партнерство FOX Entertainment для Forbes https://forbes.ua/innovations/maemo-60-mln-koristuvachiv-i-rostemo-duzhe-shvidko-ukrainska-holywater-znimatime-vertikalni-seriali-z-amerikanskoyu-fox-yak-vona-zaluchila-takogo-partnera-intervyu-25102025-33594 Як ми створюємо вертикальні серіали — у подкасті на DOU https://youtu.be/E5nKjr605vs?si=eHKKN6MhQrbEzi8k Про вертикальні серіали, які змінюють індустрію — у Детектор медіа https://detector.media/mediumy/article/248303/2026-03-13-vid-tiktok-do-gollivudu-prodyuserka-holywater-tech-pro-vertykalni-serialy-yaki-zminyuyut-industriyu/ Наші Instagram https://www.instagram.com/holywater.tech/ та LinkedIn https://www.linkedin.com/company/holywater/?viewAsMember=true — щоб бути в курсі всього, що в нас відбувається Хочеш творити історію разом із нами в HOLYWATER TECH? Відгукнися на вакансію!

Responsibilities: — Develop and adapt computer vision/video analytics models for detection, tracking, and recognition. — Work with video pipelines, including RTSP/HTTP, decoding, sampling, and batching. — Fine-tune models for real-world conditions and customer scenarios. — Optimize CPU inference, latency, and resource usage. — Integrate models into backend, edge, and on-premise solutions. — Prepare datasets, build training/testing pipelines, and monitor quality. Requirements: — 4+ years in Computer Vision/Video Analytics. — Strong CNN, YOLO, and SSD knowledge. — PyTorch or TensorFlow, OpenCV, and ONNX. — Understanding of RTSP, H.264/H.265, FPS, bitrate, and latency. — CPU inference optimization experience. — Linux and OpenVINO. — C++ for performance-critical components.

Задачи: — Разработка масштабной системы видеомониторинга и интеллектуальной видеоаналитики — Техническое лидерство направления Computer Vision — Ответственность за архитектуру AI-решений и развитие инженерной команды — Работа с production-системами, GPU-инференсом и Multimodal AI — Техническое руководство командой Computer Vision Engineers — Менторинг, code review и развитие инженерных практик — Проектирование архитектуры production-систем видеоаналитики — Разработка и оптимизация обработки RTSP-видеопотоков — Работа с NVIDIA DeepStream, GStreamer, TensorRT и Triton Inference Server — Внедрение моделей YOLO, ViT, DETR, Swin и Video Transformers — Оптимизация инференса через ONNX, TensorRT, OpenVINO, CUDA и Quantization — Разработка AI-сервисов на FastAPI / gRPC — Работа с Docker и Kubernetes — Участие в найме и технической оценке специалистов Требования: — Коммерческий опыт в Computer Vision / Video Analytics — Опыт технического лидерства или наставничества — Опыт запуска production AI-систем — Знание Python, PyTorch, OpenCV, YOLO — Опыт работы с RTSP, GStreamer, NVIDIA DeepStream, TensorRT — Опыт с ONNX, OpenVINO, CUDA или Quantization — Понимание высоконагруженных систем обработки видеопотоков — Опыт с Docker и Kubernetes — Знание Vision Transformers и мультимодальных моделей Будет преимуществом: — Опыт работы с Triton Inference Server — Знание C++ / CUDA — Опыт работы с Kafka — Знание MLflow / MLOps — Опыт с VLM, RAG, LangGraph, vLLM, Function Calling — Опыт формирования AI-команд Условия: — Полная занятость — График 5/2 — Офисный формат — Заработная плата 700 000–1 700 000 ₸ до вычета налогов — Возможность влиять на архитектуру и технологический стек — Работа над масштабной production-системой Адрес: Астана, улица Сыганак, 60/2

Задачи: — Development and management of small- to medium-scale capital projects — Mechanical and piping design — Preparation of drawings, sketches, and technical specifications — Preparation of cost estimates, schedules, and project execution plans — Coordination of design, procurement, and construction activities — Formation and leadership of the project team — Preparation of scopes of work, as well as tender and contract documentation — Monitoring of project schedules, budgets, and change management — Liaison with contractors and internal departments — Preparation of reports and presentations for management — Mentoring of junior engineers Требования: — Higher technical degree in mechanical engineering, design, or industrial facility construction — 10–12+ years of experience in infrastructure and facility construction within the oil & gas or petrochemical sectors — Experience executing projects from concept through commissioning and handover to operations — Experience in piping and mechanical design — Knowledge of international and national standards: ASME, API, ANSI, ASTM, ACI, AISC, GOST, SNiP, etc. — Proficiency in project technical documentation, process flow diagrams (PFDs), P&IDs, isometric drawings, and piping systems — Knowledge of HVAC systems and utility infrastructure is an advantage — Knowledge of construction materials

Задачи: — Владеть и внедрять AI-функции в продакшн, используя LLM и собственные модели. — Обучать специализированные модели для задач, таких как модерация контента и рекомендации. — Сотрудничать с продакт-менеджерами для превращения целей в масштабируемые решения. — Оценивать и принимать решения по стратегиям разработки или покупки на основе качества и стоимости. — Мониторить производительность развернутых моделей и вносить необходимые корректировки. Требования: — Опыт работы инженером 5+ лет, с практическим опытом работы с LLM и обучением моделей. — Подтвержденная способность развертывать модели под реальной нагрузкой и оптимизировать задержки. — Сильные навыки Python и PyTorch, а также твердые знания в области машинного обучения. — Опыт мониторинга и версионирования моделей в продакшне. — Владение английским языком на уровне Intermediate или выше. Плюсом будет: — Опыт работы с инференсом в реальном времени на живом видео/аудио. — Знакомство с рекомендательными системами и мультимодальной работой. — Знание Docker, Kubernetes и облачных сред. Условия: — Конкурентная зарплата, бонусы и опционы (все являются партнерами). — Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга. — Офис в центре Лимассола с питанием и корпоративной культурой. — Медицинская страховка (100% для сотрудника, 75% для семьи). — Доступ к матчам и мероприятиям Aris Limassol F.C. — Возможности профессионального роста и корпоративные семейные мероприятия. Формат работы: в офисе (Лимассол).

Location: San Francisco Bay Area, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We’re looking for a GTM Engineer to build, customize, and connect the business systems that power our go-to-market organization. You’ll work across Ironclad, Clay, HubSpot, Salesforce, and n8n to streamline contract management, automate revenue workflows, and make our systems reliable as we scale. This is a hands-on role for someone who combines operational judgment with strong engineering skills. You’ll partner closely with RevOps, Sales, and Legal to translate business needs into scalable workflows, custom integrations, and measurable improvements. WHAT YOU’LL DO - Own the customization and ongoing improvement of Ironclad and other business systems, including workflows, approval routing, data models, and integrations. - Partner with Legal and RevOps to connect contract intake, approvals, execution, and contract data with our CRM and downstream systems. - Build and maintain custom API integrations and automated workflows across Ironclad, Clay, HubSpot, Salesforce, n8n, and other tools. - Develop prospecting, enrichment, lead routing, and lifecycle automation that helps our GTM teams operate efficiently. - Design code-level monitoring, logging, and alerting to detect integration failures, workflow errors, and data quality issues. - Define and enforce data freshness Service Level Objectives (SLOs), including refresh schedules, monitoring, and remediation for stale or failed syncs. - Enforce system-wide email deliverability policies, including validation, suppression lists, sending limits, and bounce and complaint monitoring. - Troubleshoot issues across connected systems, identify root causes, and implement durable fixes. - Document integrations, system architecture, and operating procedures so workflows remain maintainable as the business grows. REQUIREMENTS - 5+ years of experience in GTM Operations, Revenue Operations, Growth Engineering, or a related technical operations role. - At least 3+ years of hands-on experience working with Ironclad, Clay, HubSpot, Salesforce, and n8n. - Strong experience customizing Ironclad contract management workflows and connecting contract data with other business systems. - Proficiency in Python or JavaScript/TypeScript, SQL, REST APIs, webhooks, and authentication methods such as OAuth. - Demonstrated ability to build reliable integrations, including error handling, retries, rate-limit management, and monitoring. - Experience implementing email deliverability controls and maintaining accurate, timely data across connected systems. - Strong understanding of GTM processes, CRM architecture, and the relationship between sales workflows, contracts, and revenue data. - Excellent judgment, communication, and prioritization skills, with the ability to turn ambiguous business needs into practical technical solutions. - Strong ownership and comfort working independently in a fast-moving startup environment/ COMPENSATION & BENEFITS We offer a competitive and thoughtfully structured compensation package designed to align with impact and growth.   Base Salary: The anticipated salary range for this role is $130,000 - $175,000, depending on experience, skills, and location. In addition to cash compensation, we offer equity and a comprehensive benefits package to support you both professionally and personally.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office at least three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

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 . About the Role Reddit’s Ads Creative Effectiveness team sits at the heart of our creative strategy, building GenAI and predictive products that help advertisers ship high-impact campaigns. We are searching for a Staff engineer with in-depth GenAI expertise that can help us build the future of generative products for ad creative at Reddit - best-in-class image, video and copy generators that leverage Reddit’s best practices, performance-guided generations that maximize clicks and conversions, and brand safe, product preserving image/video editing pipelines. What you’ll do: Advanced Generative Workflows: Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of product, font, logo and brand asset preservation using techniques like IP-Adapters, and LoRAs. End-to-End Image & Video Editing: Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines. LLM/VLM Fine-Tuning: Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads). Safety & Compliance Layer: engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content. Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the Ad Manager UI and the ad delivery path. Guardrails & Safety: Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers. What we’re looking for: Deep ML Expertise: Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning & RLHF/RLPF for ads. Quant & Experimentation Chops: Comfort with uplift metrics, variance, minimum detectable effects and experimentation setups for generative systems. Ads / Marketplace Insight: Understanding auction dynamics and advertiser pain points to create tools that drive revenue and retention. Startup Mindset: Bias to action, comfort with ambiguity, and scrappiness: ACE evolved from a startup acquisition and still moves fast. Communication Superpowers: Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike. Prior work on ad creative tooling: Headline generators, image generators, pre-test models, editing flows for the advertiser. Nice-to-have Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products. 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 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 . 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Location: Montreal, Canada Role overview: Our client is seeking a Satellite Bus System Engineer to design structural, thermal, power distribution, attitude control, propulsion, CD&H, TT&C/PDT, FSW and interface architecture that supports payloads and mission‑operations for current and next‑generation remote sensing and communications satellites. The role leads the definition, design, integration, verification and on‑orbit support of the platform subsystems, ensuring compliance to mission requirements and our client's best‑practice processes. Tasks summary: Architecture Concept & Requirements Translate mission‑level requirements (CONOPs, mass, volume, power, envelope, pointing, lifetime, redundancy, reliability…etc.) into system requirements and allocate them to platform subsystems (structures, TCS, EPS, GNC, PROP, C&DH, TT&C/PDT, FSW). Develop the Platform Architecture Description Document, Interface Control Documents (ICD) and Design Description. Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Lead trade studies for structural approach, thermal control concepts (MLI, heat pipes, radiators…etc.), power generation options (e.g. solar array & battery technologies). Concept Trade & Feasibility Detailed Design Oversee detailed design of all major subsystems (structures, TCS, EPS, PROP, C&DH, C&T, GNC, payload interfaces). Conduct failure‑mode‑effects‑analysis (FMEA) in support to FDIR, fault‑tree analysis and reliability & availability predictions. Ensure compliance with mission requirement and payload specifics. Maintain platform level performance budgets Support FSW and Satellite Reference Database developments Cross‑Functional Coordination, Stakeholder & Program Interaction Present technical status, risk analyses, and trade‑study results to senior management. Negotiate and maintain ICDs with payload and all platform subsystems. Support to DC & RF harness design, Platform and Payload layout. Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) Author verification plans, test matrices, and validation procedures for unit, subsystem, and platform level tests. Coordinate, supervise or support: o  Structural vibration, acoustic & shock testing o TCT & Thermal vacuum testing o  Power distribution functional test o  Closed‑loop test on avionic testbed Support FSW integration Technical Leadership & Mentorship Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns Act as technical liaison with customers, partners and external vendors Act as Continuous Improvement stakeholder Contribute to client’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management Maintain platform‑wide standards (structural margin, thermal‑control, power‑bus architecture, redundancy philosophy…etc.). Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. Provide real‑time platform engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. Support SOOH development and associated operator training. Required Qualifications: B.Sc. in Electrical Engineering, Aerospace or Physics with 10 + years of system design experience on LEO/MEO/GEO platforms. Deep knowledge of spacecraft bus subsystems and their interactions. Experience with power‑electronics design and high‑precision attitude‑control hardware. Strong understanding of aerospace system engineering fundamentals Hands-on individual who can support systems integration processes and capability to test systems and resolve problems Experience with Confluence and JIRA Demonstrated capability to efficiently work with little supervision Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. This position offers remote set-up for US and Canadian Citizen and provides relocation assistance for Europeans. Contract-to-permanent candidates are strongly preferred , although pure contract candidates will also be considered. English proficiency is required. French is considered an asset. About the Role We are seeking an experienced Synthetic Aperture Radar (SAR) Payload Engineer to support the development, integration, and testing of advanced SAR remote sensing payloads for LEO and MEO satellite missions. In this role, you will collaborate with multidisciplinary engineering teams to design, integrate, and validate high-performance radar payload systems while ensuring mission requirements are met throughout the development lifecycle. The ideal candidate has extensive experience in SAR systems, satellite payload integration, and aerospace systems engineering. Key Responsibilities Support the design, development, integration, and testing of Synthetic Aperture Radar (SAR) payload systems. Define and manage system requirements, interface control documents (ICDs), and technical specifications. Support payload integration, verification, validation, and troubleshooting activities. Develop technical documentation, including requirements, test procedures, risk assessments, and engineering reports. Collaborate with customers, suppliers, and multidisciplinary engineering teams throughout the project lifecycle. Participate in system design reviews, trade studies, and technical analyses. Support payload performance evaluation and system optimization. Utilize Confluence and JIRA to support engineering documentation and project execution. Required Qualifications Bachelor's degree in Electrical Engineering, Computer Science, Physics , or a related field. 10+ years of experience supporting Synthetic Aperture Radar (SAR) remote sensing system development, integration, and testing for LEO and/or MEO satellite missions . Strong understanding of aerospace systems engineering principles. Hands-on experience supporting system integration, testing, troubleshooting, and issue resolution. Strong technical writing skills, including requirements, ICDs, test procedures, and risk documentation. Experience using Confluence and JIRA . Ability to work independently and solve complex engineering problems through analytical and creative thinking. Excellent written and verbal communication skills in English . Preferred Qualifications French language proficiency. Experience supporting end-to-end SAR payload development for commercial or government satellite programs. Strong background in satellite payload integration, remote sensing systems, and mission verification. Experience working on advanced Earth observation or spaceborne radar missions.

Location: Chicago, Austin DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Container Infrastructure team provides scalable on-premises and cloud-based container orchestration services for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We're looking for a Technical Lead for our Container Infrastructure team. In this role you work closely with other teams and trading desks to ensure the performance and reliability of our Kubernetes platform. The platform is large: hundreds of clusters, thousands of nodes, and dozens of components. Common day-two tasks include development of new components, monitoring costs, and ensuring compute consumption for each desk is optimized. The Technical Lead is responsible for key design of architectural decisions for our platform, setting engineering standards, prioritizing and assigning technical work, as well and identifying and eliminating risks and technical debt. Our philosophy: We believe in relentless automation of repetitive tasks. We have the curiosity and drive to dig deep and find creative solutions. We believe our goal is to find the right solution rather than always being right. We provide exceptional customer service to our teams and trading desks. We care more that the right thing is done than about rigid job descriptions or boundaries. What you’ll do: Own and improve infrastructure, processes, and standards for DRW’s Kubernetes platform. Work with different business units to ensure a successful onboarding and deployment of applications into DRW’s Kubernetes platform. Promote DRW’s Kubernetes platform with demos, lightning talks, and presentations. Relentlessly automate repetitive manual tasks. Provide exceptional customer service to our platform’s users. Coach engineers on best practices, help solve complex problems, set a high standard for operational and technical excellence Your background: Multiple years of Kubernetes administration experience. Deep knowledge of networking, storage, and containerization fundamentals Familiarity with AWS and/or Google Cloud Platform. A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries. Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics You enjoy leading by example. You cultivate technical excellence and soft skills in your team members. Bonus points if you have: Experience with common Kubernetes operators (Flux, Fluentbit, Fluentd, Prometheus, etc.) Experience administering on-premise infrastructure. Experience developing, deploying, and supporting full stack web applications. Experience with multiple programming languages in both greenfield development and legacy maintenance. The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Battery Engineer focused on Cell Engineering to evaluate, qualify, and improve lithium-ion cells for current and future products. You will apply expertise in electrochemistry, cell design, testing, manufacturing, and failure analysis to ensure battery cells meet performance, safety, reliability, and product integration requirements. RESPONSIBILITIES: - Evaluate new cell designs, chemistries, form factors, and suppliers against product specifications and acceptance criteria. - Develop and execute cell qualification plans across incoming and outgoing quality control, performance, safety, reliability, environmental, and life-cycle testing. - Plan and conduct design of experiments (DOEs) to optimize cells for fit and performance needs. - Collaborate with battery system engineers to translate cell attributes into pack designs that meet overall product requirements. - Operate battery cyclers, environmental chambers, and laboratory equipment; create representative test profiles and analyze electrochemical data. - Partner with suppliers and cross-functional engineering teams to support process qualification, manufacturing readiness, and battery integration. - Lead cell-related failure investigations, root cause analysis, and corrective-action verification with suppliers and third-party laboratories. - Document and communicate qualification results, technical risks, and recommendations through specifications, reports, and design reviews. - Ability to travel up to 15% domestically and internationally to support supplier visits, factory audits, qualification activities, and failure investigations. QUALIFICATIONS: - Bachelor’s degree in Chemical Engineering, Materials Science, Mechanical Engineering, or a related field with 5+ years of relevant experience; or a master’s degree or PhD with 2+ years of relevant experience. - Strong understanding of lithium-ion electrochemistry, cell design, manufacturing processes, and degradation mechanisms. - Hands-on experience with cell characterization, qualification testing, and battery cyclers such as Arbin, Maccor, or similar systems. - Experience analyzing battery data, conducting failure investigations, and developing clear technical recommendations. - Experience collaborating with battery suppliers, manufacturing partners, and cross-functional product development teams. - Experience with Python, MATLAB, Minitab, JMP, or similar tools for data processing, statistical analysis, and visualization. - Familiarity with cell teardown, cross-sectioning, microscopy, CT scanning, gas analysis, or other advanced failure analysis techniques. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Staff Engineer, Robot Learning to lead engineering for our real-to-sim product within the Embodied AI group. One of the fundamental problems facing autonomy teams is the sim-to-real gap in visual-spatial understanding, and we're applying decades of experience encoding the world precisely as it is to build the scalable real-to-sim stack for embodied AI. Working alongside the group's General Manager and Product leader, you'll inform the roadmap, own the technical requirements our researchers and engineers build against, and personally prototype and evaluate the changes you propose. You've lived the problems our customers are solving: you've trained and deployed embodied AI systems, seen where and why simulation fails to predict real-world performance, and worked through the consequences. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial tech lead who loves to build and is energized by helping those around them do the best work of their lives. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Sharpen the Roadmap - Bring first-hand knowledge of customer pain, existing solutions, and the value of doing better to roadmap decisions, and help focus effort on the most consequential problems to solve. - Own the Technical Requirements - Guide the team to design the real-to-sim stack pragmatically. Make the final recommendation on what to build, integrate, and simplify, ensuring capabilities work within customers' existing training and evaluation workflows. - Benchmark the Impact - Working with our Real-World Test Lab, design and run reproducible evaluations that measure the impact of our real-to-sim stack on policy transfer and real-world performance against customers' existing approaches. - Build and Ship - Lead engineering delivery and personally build critical features. Keep scope tight, remove blockers, and get performant capabilities into customers' hands quickly. - Raise the Technical Bar - Set a high bar for the team's work and deepen its understanding of robotics development and deployment, driving incremental improvement every week. What You'll Bring - Experience training, evaluating, and deploying robot policies in systems used by enterprise or government customers, with responsibility for performance in real operating conditions. - Deep practical experience using simulation for policy training or evaluation, including tools such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, or equivalent. You have diagnosed sim-to-real failures and understand when greater fidelity improves outcomes. - Hands-on experience with reinforcement learning, imitation learning, or both, and with deep-learning frameworks such as PyTorch. - A practical understanding of how visual perception and 3D scene representations affect robotics training, evaluation, and real-world performance. - Experience running experiments on real robots, from an ambiguous hypothesis through to defensible results. - Strong Python and C++ skills, with experience building reliable production software. - A bachelor's degree or higher in a relevant field. Nice to Have - You've authored or maintained a public robotics benchmark. - You've helped take an early product to repeatable adoption across multiple customers. - You've built or substantially extended robotics simulation infrastructure, including scene authoring, domain randomization, or large-scale training and evaluation. - You've trained and deployed vision-based navigation or mobility policies, particularly in varied, unstructured environments. - You've built pipelines that turn real-world reconstructions into simulation-ready environments. Competencies - Always Learning. Staying on top of the latest academic breakthroughs and commercial advancements, particularly in real-to-sim-to-real. - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to delivering customer value without going through one-way doors that undermine future scaling. - Confident and credible with customers. You can sit alongside an autonomy engineer and help them get to the root of their problems. You are comfortable speaking to customers and bring commercial nous to those discussions. Compensation & Benefits The expected salary range for this role is $270,000 – $300,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: San Francisco, CA, USA About the role We are looking for a Sr. Full Stack Application Security Engineer with deep expertise in mobile application security to join our Product Security team. This role is hands-on and impact driven. You will work directly with mobile, backend, and platform engineering teams to identify, prevent, and remediate security issues across our iOS, Android, API, and backend systems. You will operate close to the code and close to the product. That means reviewing architectures across the stack, influencing secure design decisions early, and helping teams ship features safely without slowing delivery. This role is for someone who understands how modern distributed systems and mobile apps are built, deployed, and attacked in real-world environments. While mobile application security is a core focus, you will be part of a team that owns security posture across the full application stack including APIs, backend services, identity and authentication flows, and CI/CD pipelines. In this role, you can expect to Build and improve security capabilities, automation, and guardrails for mobile applications and backend/API services Perform application or API/backend penetration testing Identify, triage, and help remediate vulnerabilities across Chime products Partner closely with engineering and product teams to embed security into the development lifecycle across mobile apps, APIs, and backend services Perform architecture and code reviews across the stack (iOS/Android, APIs, backend) with a focus on secure data storage, authentication, authorization, secure communication, and session/token handling Leverage AI to accelerate security workflows (e.g., code review support, triage, threat modeling), and partner with teams building AI-enabled features to define and implement production-grade AI security controls To thrive in this role, you have 5+ years of experience in application security, with strong hands-on experience across both mobile and backend systems Hands on experience securing iOS and Android applications in production environments Strong understanding of mobile threat models and common attack techniques Experience with mobile security testing techniques, including static and dynamic analysis Familiarity with iOS and Android platform security features and limitations Practical coding experience, preferably in Ruby, Go, Python  languages Ability to clearly communicate security risks, tradeoffs, and remediation guidance to engineering partners #LI-Hybrid #LI-WW1 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 $213,000 — $295,000 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 .

Задачи: — Разработка AI-агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при сбоях. Требования: — Опыт разработки на Python и бекенд инженерия. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция API и событийно-ориентированные рабочие процессы. — Оценка, трассировка и отладка LLM. — Опыт работы с Docker, Kubernetes, CI/CD и AWS. — Приветствуется опыт мультиагентной оркестрации, MCP, workflows с участием человека и мониторингом агентов в продакшене. Условия: — Удалённая работа. — Полная занятость или контракт.

Задачи: — Разработка AI-агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при сбоях. Требования: — Опыт разработки на Python и бекенд инженерия. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция API и событийно-ориентированные рабочие процессы. — Оценка, трассировка и отладка LLM. — Опыт работы с Docker, Kubernetes, CI/CD и AWS. — Приветствуется опыт мультиагентной оркестрации, MCP, workflows с участием человека и мониторингом агентов в продакшене. Условия: — Удалённая работа. — Полная занятость или контракт.

Location: San Francisco Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We’re hiring an experienced Engineering Manager to lead Dashboard, the team helping customers get more value from the WorkOS suite and helping WorkOS grow as a business. We’re looking for a leader who is excited to manage engineers, but approaches the role as a startup founding member would. You’ll lead engineers working across customer onboarding and growth, billing and monetization, and AI assistance in the WorkOS dashboard. The team’s work connects the customer journey from signup and integration through production and expansion. You’ll partner closely with design, go-to-market, finance, and other engineering teams to make that journey simpler and more effective. This role offers meaningful autonomy to shape what we build and why. It’s a great fit for a strong product thinker who enjoys working closely with product managers and taking the lead on product decisions when the opportunity calls for it. You’ll have room to identify customer problems, propose new directions, and carry ideas from discovery through launch, with ownership of the outcomes. If you’re excited by the chance to combine engineering leadership with product judgment, there’s a lot to build here. You’ll also drive technical strategy, empower your team to execute on projects with a direct impact on customer success and the business, and play a pivotal role in scaling the team and recruiting exceptional engineers. WHAT YOUR TEAM WILL BUILD - Growth and onboarding: help developers move from signing up to integrating and running WorkOS in production. Improve onboarding and next steps, and work with go-to-market teams on timely outreach informed by product signals. - Billing and monetization: build annual-credit capabilities, make billing more reliable and automated, and give customers clearer pricing, usage, and credit information in the dashboard. - AI assistance for developers: bring the Dashboard Agent, WorkOS MCP server, Ask WorkOS, and Support Bot into a coordinated experience, with shared retrieval, evaluations, and quality standards. Help developers get useful, consistent answers and make progress with WorkOS. RESPONSIBILITIES - Build and lead a high-velocity team that ships product fast and with polish across growth, monetization, and developer assistance. - Be deeply technical and hands-on: read the PRs, write prototypes, and work with technical leads on architecture and project scope. - Shape the roadmap in close partnership with product managers, design, go-to-market, finance, and engineering. Bring your own product perspective, identify opportunities, and drive product decisions directly where needed—from defining the problem and choosing an approach to measuring the outcome. - Help the team improve the customer journey from signup to production and expansion, using product signals and customer feedback to choose what to build next. - Balance rapid product iteration with the reliability and correctness customers need from billing and the quality they expect from AI assistance. - Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out. - Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft. - Coach, mentor, and grow a team of curious, driven engineers through direct feedback, clear goals, and meaningful ownership. - Partner with recruiting to attract, hire, and retain exceptional engineering talent. QUALIFICATIONS - Track record of having successfully led product-focused engineering teams in high-performing organizations that shipped real impact. - You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back. - Bias for action and scrappiness: You don’t over-optimize for process. You optimize for velocity, customer value, and learning. - You deeply care about the developer experience. You think about UX, APIs, performance, edge cases, and joy. - You ask "why" obsessively, and you push yourself (and your team) to learn constantly. - You build trust, give direct feedback, and create space for engineers to thrive. - You have experience partnering with internal recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large and important part of your role, and have a track record of recruiting, hiring, and mentoring top engineering talent. - You’re a strong product thinker who connects customer needs, technical possibilities, and business outcomes. You collaborate well with product managers and are comfortable driving product decisions yourself, using customer insight and evidence to make tradeoffs and build alignment. Experience with onboarding and growth, billing systems, or customer-facing AI products is especially relevant. You do not need prior experience in all three areas. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.