Location: Boston, MA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
This role is onsite 5 days/week in Boston, MA
We're looking for a Senior Fullstack Engineer to work on LangSmith. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with our enterprise customers, developer end-users, and cross functional internal stakeholders.
WHAT YOU WILL DO
- Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
- Collaborate closely with product and design teams to iterate on new features.
- Help drive aggressive project timelines while ensuring high engineering standards are being met.
- Lead by example in writing clean, maintainable, and well-tested code.
WHAT YOU BRING
- 5+ years of experience in software engineering working on complex platform products
- Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
- Strong understanding of database systems, particularly Postgres and Redis
- Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
- A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
- Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
- Strong ownership mindset
- Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
- Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Boston, MA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
This role is based onsite in Boston, MA.
We are looking for a Senior Backend Engineer to join our growing engineering team in Boston. In this role you will be building the backend systems that power LangSmith, LangChain’s observability and evals platform. You will work on the core services that allow our customer's developer teams to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable.
WHAT YOU'LL DO:
- Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.
- Collaborate on architectural decisions to ensure systems are performant and maintainable.
- Optimize storage and query performance for high-volume observability and evaluation data.
- Ensure system reliability through strong testing, monitoring, and alerting practices.
- Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
- Create and maintain technical documentation, including system design and API references.
- Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
WHAT YOU'LL BRING:
- 4+ years of professional experience in backend engineering working on highly complex products
- Proficiency in one or more backend languages/frameworks, ideally Python and/or Go
- Strong understanding of API design and building reliable data services.
- Experience with high-throughput, mission-critical systems.
- Demonstrated ability to optimize backend services for performance and reliability.
- Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) would be a bonus.
- Strong communication skills, with the ability to collaborate cross-functionally.
- Customer centricity and ownership mentality
Annual salary range: $170,000- $235,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Задачи:
— Проектировать и внедрять масштабируемые, надежные и безопасные инфраструктурные решения с использованием современных практик DevOps.
— Поддерживать и оптимизировать производственные и девелоперские среды для обеспечения стабильности, масштабируемости и эффективности.
— Внедрять и управлять оркестрацией приложений с помощью Kubernetes.
— Создавать и поддерживать системы мониторинга с Prometheus и Grafana, а также управлять лог-системами с VictoriaMetrics и VictoriaLogs.
— Устранять и решать инциденты в продакшене, участвовать в дежурствах для обеспечения круглосуточной доступности и надежности сервиса.
— Управлять базами данных PostgreSQL, ClickHouse, MongoDB и Redis.
— Вносить улучшения в инфраструктурные рабочие процессы и поддерживать приложения на PHP, NodeJs, Golang.
Требования:
— Минимум 5 лет коммерческого опыта в роли DevOps инженера.
— Владение английским языком на уровне B2 и свободное владение русским.
— Продвинутые навыки скриптинга на Bash и Python.
— Опыт работы с контейнерами Kubernetes и Docker.
— Опыт поддержки приложений на PHP, NodeJs, Golang.
— Знания DigitalOcean будут плюсом.
— Опыт работы с GitLab CI/CD.
— Владение Terraform.
— Опыт работы с GitOps.
— Знания Jenkins CI/CD и Helm.
— Знакомство с Hashicorp Vault и Ansible.
— Опыт мониторинга с Loki и Jaeger.
— Сильные навыки решения проблем, коммуникации и опыт работы по Agile/Scrum.
Условия:
— Полностью удаленная работа.
— Конкурентный компенсационный пакет, соответствующий навыкам и опыту.
— Прозрачная система грейдов для отслеживания прогресса и роста в компании.
— 21 рабочий день оплачиваемого отпуска в год.
— 7 оплачиваемых больничных в год без необходимости предоставления справки.
— Инклюзивная и адаптивная корпоративная культура.
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Задачи:
— Тестирование ETL / data pipelines
— Валидация данных по цепочке source → warehouse → semantic model → report
— Проверка aggregations, measures и business rules
— Тестирование BI / analytical solutions
— Regression testing
Требования:
— 3–5+ лет в QA, желательно Data / BI
— Strong SQL
— Опыт тестирования ETL / data pipelines
— Валидация данных по цепочке source → warehouse → semantic model → report
— Проверка aggregations, measures и business rules
— Опыт тестирования BI / analytical solutions
— Regression testing
— Jira / Azure DevOps
— Понимание dimensional data models
Будет большим плюсом:
— SSAS Tabular / Power BI
— DAX
— Automated data testing
— Python
— Azure / Microsoft Fabric
— Опыт в insurance / financial services
Ищем по профилям:
Data QA Engineer / ETL QA Engineer / BI QA Engineer / Data Test Engineer / Power BI QA
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M 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 are looking for a Forward Deployed Engineer to be the technical-creative weapon behind our enterprise business.
This role is part cinematic director, part AI production engineer, part educator. You build the demos and proofs of concept that show Fortune 500 brands what's possible, then make those customers succeed in production: broadcast-grade cinematic work, repeatable workflows on the Higgsfield stack, and trained client teams that keep creating after the engagement.
The bar for this role is insanely high-quality cinematic knowledge and taste. You know why a shot works: lensing, lighting, blocking, camera movement, pacing, edit rhythm. And you know how to get that out of generative models, reliably, at commercial quality, on deadlines measured in days.
WHAT YOU'LL DO
SET UP ENTERPRISE CUSTOMERS FOR SUCCESS
- Convert client briefs into tailored, visually stunning demos and proofs of concept.
- Own the technical-creative side of pilots from kickoff to production rollout.
- Track the generative AI model landscape constantly so our work stays ahead of anything the client has seen.
DELIVER CINEMATIC WORK
- Direct and produce cinematic AI campaigns end-to-end for enterprise customers: creative direction, shot design, character and asset consistency, generation, edit, delivery.
- Set and defend a broadcast-grade quality bar that makes the platform look world-class in public.
BUILD PRODUCTION WORKFLOWS
- Turn one-off wins into repeatable pipelines: model chains, presets, prompt systems, automation (APIs, MCP, agentic workflows).
- Reverse-engineer reference ads, film looks, and visual styles into reproducible Higgsfield workflows.
EDUCATE AND ENABLE
- Train customer teams hands-on: live workshops, demos, documented workflows they actually use.
- Become a trusted creative-technical advisor to CMOs, creative directors, and production leads.
FEED THE PRODUCT
- Bring what you learn in the field back to Product, Engineering, and Research: gaps, failure modes, feature requests, new use cases.
YOUR MUST HAVES
- A portfolio of cinematic AI work at commercial quality. Portfolio first, we review every single one, and it matters more than your CV.
- 5+ years in commercial, film, or creative production; 2+ years hands-on with generative AI.
- Deep, current fluency across the generative stack: image and video models, consistency techniques, VFX and motion workflows. You can name the models, the pipelines, and exactly how you got each shot.
- Real cinematic craft: shot design, lighting, composition, storyboarding, editing. You can explain why a frame works, not just generate it.
- Proven client-facing delivery: pilots, PoCs, or commissioned productions taken from brief to finished high-end results on the client's timeline.
- Comfortable presenting to executives and running live demos under pressure.
- Ability to teach: you can make a non-technical creative team dangerous with these tools.
- High sense of ownership, drive and startup, can-do mentality. You are expected to get running on the ground from Day 1.
- High agency. Excellent English.
NICE TO HAVES
- Background in film, advertising, fashion, or e-commerce content production (director, DP, editor, creative director).
- Expert-level familiarity with each AI model, including Higgsfield's proprietary models, tools, plugins and skills
- Scripting or automation experience (Python, APIs, ComfyUI, MCP, agent pipelines).
- Prior forward deployed, solutions engineering, or sales engineering experience at an AI or creative platform.
- An existing audience or community in the AI creative ecosystem.
- Experience working with enterprise stakeholders and Fortune 500 brands.
THE DEAL
- Competitive salary in USD.
- On-site role in our Almaty office.
- Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in.
- Full-time position.
Задачи:
— Владеть проблемой, превращая цели в AI-решения в продакшене.
— Строить и адаптировать большие языковые модели (LLM); дообучать или дистиллировать модели для повышения производительности.
— Обучать собственные модели, включая сбор и оценку данных.
— Принимать решения о разработке или покупке на основе чётких метрик и ограничений.
— Выпускать функции в продакшен и мониторить их эффективность.
Требования:
— Опыт инженерной работы 5+ лет с сильными навыками программирования.
— Практический опыт с LLM: retrieval, использование инструментов и контекстное проектирование.
— Подтверждённый опыт обучения моделей на реальных производственных данных.
— Владение Python, PyTorch и использованием GPU.
— Английский язык на уровне Intermediate и выше.
Желательно:
— Опыт работы с инференсом в реальном времени, модерацией контента или рекомендательными системами.
— Знакомство с Docker, Kubernetes и облачными платформами.
Условия:
— Конкурентная зарплата и опционные программы — все являются партнёрами.
— Официальное трудоустройство на Кипре (поддержка визы для сотрудника и супруга).
— Комфортный офис в Лимассоле с обеспечением питания и перекусов.
— Медицинская страховка для сотрудника и семьи.
— Возможности для профессионального роста, уроки греческого языка и командные мероприятия.
Задачи:
— Создавать, поддерживать и оптимизировать инфраструктуру для действующих и разрабатываемых приложений;
— Администрировать серверную Linux-инфраструктуру (Astra Linux, AltLinux);
— Администрировать ПО Kubernetes, Docker, Ansible/Puppet;
— Администрировать СУБД и систему хранения данных PostgreSQL, ScyllaDB и т.д.;
— Автоматизировать и поддерживать процессы сборки и доставки приложений;
— Мониторить работу, анализировать производительность и повышать стабильность работы инфраструктуры;
— Решать возникающие проблемы в работе сервисов и в процессе разработки;
— Внедрять новые решения и модернизировать существующую ИТ-инфраструктуру;
— Участвовать в разработке релизных политик и стратегий развития процесса DevOps, выстраивание процессов CI/CD.
Требования:
— Опыт на позиции DevOps-инженера не менее 2 лет;
— Опыт администрирования Linux (Astra, AltLinux);
— Опыт работы с СУБД (PostgreSQL, ScyllaDB и др.), опыт построения кластерных решений;
— Экспертные знания по Kubernetes и внутреннему устройству кластера;
— Опыт работы с NGINX/Angie, Haproxy и k8s ingress;
— Умение автоматизировать Ansible/Bash, Python;
— Опыт работы с системами мониторинга Zabbix, Prometheus, Grafana;
— Опыт с helm, Gitlab, Vault, Jenkins, Nexus, Jira, Tomcat;
— Опыт работы с брокером сообщений (Kafka, JMS);
— Понимание принципов работы протоколов DHCP, DNS, LDAP, SNMP, Syslog;
— Базовые знания сетевых технологий;
— Опыт работы c ArgoCD для реализации парадигмы GitOps.
Условия:
— Опыт работы в аккредитованной IT-компании над социально значимыми уникальными проектами;
— Официальное трудоустройство с первого рабочего дня;
— Гибридный формат работы для локаций с офисами (3 дня в офисе, 2 дня удалённо), для остальных локаций - удалённо;
— Стабильный доход и квартальные премии;
— Компенсация 9 видов расходов: от КАСКО до путевок на отдых;
— Интересная программа внутреннего и внешнего обучения;
— Сильная команда талантливых специалистов;
— Прозрачные условия для развития и карьерного роста;
— ДМС со стоматологией и международной страховкой.
Задачи:
— Выполнение функциональных обязанностей в рамках Scrum и Less методологий;
— Разработка и поддержка тестовой документации в актуальном состоянии;
— Проведение функционального, регрессионного, интеграционного и системного тестирования;
— Подготовка тестовых данных для демонстраций и сдачи релизов;
— Проведение оценки тестового покрытия и поиск зон риска;
— Активная работа с требованиями, их уточнение и участие в планировании спринтов;
— Проведение peer-review тестовой документации коллег;
— Участие в обсуждении релизов и контроле качества на всех этапах разработки.
Требования:
— Опыт работы в тестировании от 5 лет;
— Глубокое понимание принципов построения сетей и передачи сетевых протоколов;
— Коммерческий опыт работы с брокерами сообщений (Kafka или RabbitMQ);
— Уверенное владение SQL и опыт работы с БД (PostgreSQL);
— Отличное знание концепций STLC и SDLC, владение техниками тест-дизайна;
— Понимание принципов работы REST, SOAP и опыт тестирования API (Postman, SoapUI, Insomnia или аналоги);
— Опыт работы с баг-трекинговыми системами (Jira, Trello, YouTrack);
— Умение работать с требованиями в Confluence и создавать на их основе четкие тестовые сценарии;
— Опыт работы с платформами управления тестированием (Zephyr, TestIT и т.п.);
— Базовые знания и понимание принципов CI/CD;
— Проактивная позиция и желание не просто проверять, а предлагать решения;
— Аналитический склад ума, системное мышление и способность рассматривать вопросы в целом.
Будет плюсом:
— Опыт автоматизации тестирования на Python;
— Навыки работы с инструментами типа Kcat (Kafka Cat);
— Практика работы в Kubernetes и Lens;
— Опыт тестирования микросервисов с синхронными (HTTP/WS) и асинхронными вызовами;
— Опыт работы с СУБД ClickHouse;
— Навыки работы с Docker и Docker-compose.
Условия:
— Удаленная работа или гибридный формат в зависимости от локации;
— Гибкое начало и конец рабочего дня при синхронизации с командой;
— Индивидуальный план развития с возможностью освоения новых технологий (включая автоматизацию и работу с AI);
— Насыщенную корпоративную жизнь: онлайн- и офлайн-квизы, выездные корпоративы, спортивные мероприятия, творческие тимбилдинги, тематические вечеринки и многое другое;
— Оплату участия в профильных онлайн-конференциях (HighLoad++, Podlodka, Mobius и др.);
— Компенсацию расходов на покупку профессиональной литературы;
— Доступ к курсам нашей объединенной IT-школы GIGASCHOOL.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up.
Responsibilities:
Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch
Establish metrics and tooling to measure and improve search quality
Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency
You may be a good fit if you:
5+ years building complex distributed systems in production
Solid grasp of search fundamentals: indexing, retrieval, ranking
Strong coding skills in Python, Go, Java, or similar languages
Hands-on experience with high-volume data processing architectures
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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: New York, New York, United States
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.
Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.
We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.
We're a team of 170+ across 26 states and 7 countries, headquartered in New York City.
Lithic's Treasury Operations team owns the movement of money across our card issuing infrastructure — network settlement, sponsor bank transfers, and the reconciliation that keeps it all provable. This is a hands-on, high-ownership role for someone who wants to learn the inner workings of payments and fintech infrastructure, not just observe them from a reporting layer.
You'll be running a critical, time-sensitive engine every day — and at the same time, working alongside the Head of Treasury Operations to improve how that engine works as the function scales. You’ll also work cross-functionally across a wide range of teams (Finance, Treasury Engineering, Risk, Analytics, Processing, Customer Success, Bank Operations) — this role sits at the center of a lot of different workflows, not off in a silo.
What you'll do:
Execution (50%)
Own day-to-day execution of network settlement transfers (Mastercard, Visa) and related treasury transfers across sponsor banks
Operate in a time-sensitive environment where errors or delays have immediate downstream consequences
Support reconciliation and ensure transfers tie out against expected activity
Be a reliable, detail-oriented operator of an existing process — accuracy and consistency matter as much as speed
Process Optimization (20%)
Take existing workflows and make them better: fewer manual steps, stronger controls, cleaner audit trails
Identify friction or risk in current processes and propose (and build) improvements
Balance improvement work against the need for strong financial controls — nothing gets streamlined at the expense of auditability
Project Support (30%)
Support the Head of Treasury Operations on larger initiatives as the function scales
Contribute analysis, documentation, and execution support to new treasury infrastructure, reporting, or process builds
Ongoing
Run ad hoc data analysis (SQL, Excel) to answer operational and financial questions on the fly
Support downstream audit and reporting needs tied to settlement and reconciliation activity
Be available outside normal business hours in rare emergency situations (e.g., a failed settlement or bank-side issue)
What you'll learn:
This role is a front-row seat to the nuts and bolts of card issuing and payments infrastructure — network settlement mechanics, sponsor bank relationships, and the guts of how money actually moves through a modern fintech stack. You'll come out of this role with a depth of operational fintech knowledge that's hard to get anywhere else.
What you'll bring:
2–4 years of relevant experience in treasury operations, funds transfer/money movement operations, cash management, or a closely adjacent operational finance role
Experience with reconciliation and financial controls — you understand
why
the numbers need to tie out, not just how to make them tie out
Strong Excel and Google Sheets skills, including comfort with (or willingness to learn) Google Apps Script for automating recurring workflows
SQL proficiency for querying and validating data (we use Snowflake and Metabase); Python or other scripting is a plus, not a requirement
Working comprehension of accounting concepts and financial operations / money movement (ACH, wires, card settlement, or similar) — you should be knowledgeable about how transfers and reconciliation tie back to the books
Familiarity with Jira and Slack, or similar ticketing and collaboration tools, for tracking progress and coordinating across teams
Comfort shifting flexibly between fixed process workflows and operating in an agile enrivonment (sprints, tickets, iterative process improvement)
Interest in operating in a fast-moving startup/fintech environment — this isn't a traditional back-office treasury seat
The annual US salary range for this role is $80,000 - $110,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications.
This is a hybrid position. Candidates must be located within a commutable distance to our NYC office in Soho. We do not offer visa sponsorship or assistance.
Benefits for Full-Time US Employees:
Unlimited PTO
12-weeks fully paid parental leave
4-Week Fully Paid Sabbatical (earned at your 5-year anniversary)
Work From Anywhere: work from anywhere in the world 4-weeks each year
3% cashback on card purchases with your complimentary
Privacy.com
employee account
Health, vision, and dental insurance; HSA Contribution Match
401(k) match
Voluntary Life Insurance and STD/LTD
NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs.
In-office employees receive:
Commuter benefit
Catered lunch every Tuesday and Thursday
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
Fivetran is looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability.
As a member of the Site Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance.
This is a full-time position based out of our
Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You’ll Do
Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput.
Evolve systems by adding reliability into our product roadmap
Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed
Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability
Ensure scalable artifacts deployment to all environments by automation scripts
Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team
Skills We’re Looking For
Expertise in managed Kubernetes (EKS, AKS and GKE)
Expertise of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD
Expertise in Python Programming.
Expertise with Linux operating systems internals and administration
Expertise with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP)
Experience with databases such as PostgreSQL
Bonus Skills
Bonus if you have Java, GO Programing
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$232,338
—
$290,422 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: United States (Remote)
Workplace: Remote
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 Security and Threat Operations Engineer at OnePay, your work will have a direct impact on protecting our fast-moving fintech environment. You will turn production signals into actionable detection, response, and hardening initiatives, partnering closely with Product Security, Platform Security, and Engineering teams. Your efforts will enable us to proactively identify, monitor, and stop compromised behaviors across OnePay's products and infrastructure, ensuring the continued safety and trust of our business and customers. You will:
- Build and tune detections, alerts, and monitoring workflows across cloud, application, identity, and edge environments.
- Review traffic patterns across APIs, authentication flows, and WAF telemetry to identify malicious activity, abuse patterns, and anomalous behavior.
- Use AI responsibly as a force multiplier for triage, analysis, and workflow automation, while helping define guardrails for AI-enabled systems.
- Help operate OnePay's vulnerability management program by triaging, prioritizing, and driving remediation for findings from Wiz, vulnerability scanning, and related workflows.
- Develop Python-based tooling and automation to improve investigations, enrichment, response, and operational scale.
- Partner with Product Security to translate threat models, security reviews, and product risks into production detections and response playbooks.
- Investigate security events end to end, including triage, scoping, containment support, and follow-through on remediation.
- Support vulnerability management and operational security practices in ways that align with PCI and SOC 2 expectations.
- Participate in proactive threat hunting, detection improvement, and a 24x7 security incident response on-call rotation.
YOU BRING
- 5+ years of experience in information security, threat detection, security operations, detection engineering, or incident response, ideally in a cloud-native or product-focused environment.
- Strong experience investigating suspicious activity in web, API, authentication, and infrastructure telemetry, with the ability to distinguish attacker behavior from normal production noise.
- Demonstrated ability to review traffic and event patterns for signs of malicious activity, fraud, account abuse, credential attacks, reconnaissance, and exploitation attempts.
- Strong Python programming skills and the ability to write maintainable code for automation, enrichment, analysis, and security operations tooling.
- Experience building and tuning detections in a SIEM or detection platform and working with observability and logging systems such as CloudWatch, Datadog, or similar platforms.
- Experience operating or supporting a vulnerability management program, including triage, prioritization, remediation tracking, and stakeholder coordination.
- Familiarity with cloud and application security findings from platforms such as Wiz, including CNAPP, runtime, code, and vulnerability scanning use cases.
- Experience with at least one major cloud provider, preferably AWS.
- Working knowledge of identity and access systems, modern authentication flows, and the security implications of internet-facing applications and APIs.
- Strong understanding of threat modeling, risk prioritization, and practical security controls across applications, infrastructure, and cloud environments.
- Practical experience using AI tools in security workflows, along with sound judgment about AI-specific risks such as prompt injection, data leakage, excessive tool access, and weak auditability.
- Excellent analytical, communication, and cross-functional collaboration skills, especially in environments where security needs to move quickly with product and engineering teams.
- Drive and proactivity - everyone here is a builder and executor
TOOLS WE USE
We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. We also embrace AI-assisted development, so engineers have their choice of Claude Code or Cursor to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- 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: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
Mattermost is seeking a
Senior Technical Account Manager (TAM)
to serve as a trusted technical advisor to our
U.S. Federal and enterprise customers
. In this role, you will ensure the successful deployment, integration, and secure operation of the Mattermost platform in
mission-critical and high-security environments
.
You will combine expertise in
infrastructure, cybersecurity, and DevSecOps
with strong customer engagement and project leadership skills. As a strategic partner, you will bridge
engineering, product, and customer teams
, driving secure, compliant, and scalable implementations that enable organizations to collaborate with confidence.
An active U.S. government Secret or TS/SCI clearance is a significant advantage for this position.
We also welcome technically strong candidates who meet the eligibility requirements to obtain a clearance.
Key Responsibilities
Own Technical Customer Success
Serve as the primary technical advisor for strategic U.S. Federal and defense customers.
Build trusted relationships with technical leaders, system administrators, security teams, and executive stakeholders.
Drive successful onboarding, adoption, platform optimization, and long-term customer value.
Develop technical success plans aligned with customer missions, operational requirements, and business objectives.
Solve Complex Technical Challenges
Guide customers through deployments, upgrades, integrations, and troubleshooting across on-premises, cloud, hybrid, and air-gapped environments.
Work hands-on with Linux infrastructure, networking, containers, authentication systems, and deployment configurations.
Troubleshoot complex technical issues, partnering with Engineering and Support to drive resolution.
Help customers improve platform reliability, security, performance, and scalability.
Bring a Forward-Deployed Engineering Mindset
Work directly with customers, including on-site engagements when needed, to understand and address complex operational requirements.
Translate customer challenges into practical technical solutions, configurations, integrations, or automation.
Develop reusable scripts, technical playbooks, and deployment best practices.
Operate independently in complex environments while collaborating closely with internal technical teams.
Bring field insights and customer requirements back to Product and Engineering to influence platform improvements.
Drive Adoption and Customer Value
Identify opportunities to expand Mattermost adoption across teams, workflows, and mission-critical use cases.
Conduct technical reviews, health assessments, and proactive optimization sessions.
Help customers maximize their investment through platform integrations, workflow automation, and operational best practices.
Required Qualifications
Experience in a technical customer-facing role such as Technical Account Manager, Solutions Engineer, Customer Engineer, Technical Consultant, Support Engineer, or Forward Deployed Engineer.
Strong hands-on technical experience with Linux, networking, infrastructure troubleshooting, and enterprise software deployments.
Familiarity with containers, cloud infrastructure, or modern application deployment environments.
Ability to diagnose complex technical problems and collaborate across teams to deliver solutions.
Strong communication skills, including the ability to explain technical concepts to both engineering teams and business stakeholders.
Experience supporting enterprise, government, defense, or other complex customer environments.
A proactive, customer-focused mindset with a strong sense of ownership and accountability.
Eligibility to obtain and maintain a U.S. government security clearance, along with the ability to meet applicable U.S. export-control requirements.
What Will Set You Apart
Security Clearance and Federal Experience
Active Secret, Top Secret, or TS/SCI clearance — highly desirable and a significant advantage.
Experience supporting DoD, Intelligence Community, federal civilian agencies, or defense contractors.
Familiarity with secure or regulated environments, including FedRAMP, NIST 800-53, STIGs, and government security requirements.
Forward-Deployed and Technical Engineering Experience
Experience working directly within customer environments to deploy, integrate, troubleshoot, or customize technical solutions.
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.
Scripting or development experience using Python, Go, Bash, or similar languages.
Experience supporting disconnected, degraded, intermittent, or limited-bandwidth (DDIL) environments.
Experience integrating enterprise identity, monitoring, security, or DevSecOps systems.
Familiarity with mobile device management technologies such as Intune or Workspace ONE.
Why Join Mattermost?
Mission-critical impact:
Support organizations operating in some of the world's most demanding security environments.
Technical ownership:
Go beyond reactive support to influence customer architectures, deployment strategies, and platform adoption.
Direct engineering collaboration:
Work closely with Product and Engineering to solve meaningful technical challenges.
Growth opportunities:
Expand your expertise in secure infrastructure, federal technology, and forward-deployed engineering practices.
Remote-first flexibility:
Work remotely in the United States, with opportunities for direct customer engagement and on-site collaboration.
Target Salary Range:
$125,000 - $165,000 USD plus commission
Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan.
U.S. Eligibility & Compliance
This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit
Security Clearances — United States Department of State
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: New York City
Workplace: OnSite
About Pinecone:
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io.
About the Team/Role:
This is intended to be an entry level role for new grads/early career professionals.
As an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role.
Responsibilities:
- Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value.
- Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals.
- Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion.
- Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem.
- Build processes and capture knowledge to scale and automate support, success, and outreach initiatives.
- Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof-of-concept evaluations.
- Provide feedback and contribute as a developer to all elements of the customer experience—from tooling and integrations to documentation and internal workflows.
Requirements:
- BS in Computer Science or a related technical field or equivalent experience.
- Strong technical acumen with the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Familiarity with the concepts of embeddings, similarity search, recommendation systems, and RAG.
- Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions.
- Proficiency in one or more popular programming languages (Python, JavaScript).
Bonus Points:
- Experience with Datadog or similar monitoring tools.
- Experience working with cloud platforms (AWS, GCP, Azure).
Perks & Benefits:
- Comprehensive health coverage including medical, dental, vision, and mental health resources
- 401(k) Plan
- Equity award
- Flexible time off
- Paid parental leave
- Annual Company Retreat
- WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong
Type: Full Time Internship (June 1, 2027 - August 31, 2027)
The Role
The Developer Experience (DX) team focuses on optimizing game development and publishing. As our
Software Engineer intern (Developer Experience)
, you will help build tools and libraries that help internal and external developers to make games on Nex Playground. You will collaborate with game engineers to help push the boundaries and unlock new possibilities on Nex Playground.
What You Will Bring to the Table
Understand bottlenecks and pain points of game developers, including designers and fellow engineers.
Build tools to streamline game developments, from brainstorming, development to deployment.
Collaborate with our producer team to ensure smooth delivery of games and contents in our content pipeline.
Help push the boundaries through active exploration, refinement of processes, and adoption of new technologies.
Should Have
Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university.
Solid foundation in software development.
Strong communication and collaboration skills.
Excited to work in a fast-paced environment.
Ready to face new challenges and opportunities.
Nice To Have
Experience working with Unity.
Experience with Android development.
Experience with webapp development, such as ReactJS / NodeJS / Python / Google Cloud Platform.
Enthusiastic about games, or feeling excited about game development.
Love being active and healthy. Passionate about helping others do the same.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong
Type: Full Time Internship (June 1, 2027 - August 31, 2027)
The Role
The Core Technology team develops the technologies that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time.
As our
Software Engineer Intern (ML Research, Core Technology)
, you will explore and develop machine learning methods that expand what Nex Playground can perceive and understand. You may work on computer vision, audio, sensor fusion, or other sensing problems, taking ideas from research hypotheses through experimentation, evaluation, optimization, and working prototypes.
You will collaborate with ML researchers and software engineers to build datasets and experimental workflows, evaluate ideas rigorously, and demonstrate promising technologies under real-world and on-device constraints. You will receive hands-on mentorship while owning a meaningful research project that contributes to our future products and technical direction.
What You Will Do
Develop and evaluate ML models and algorithms for computational perception and interaction.
Design rigorous experiments, improve datasets, compare approaches, and understand failure modes.
Build training and evaluation tools, and optimize promising models for real-time, on-device inference.
Collaborate with researchers and engineers to prototype technologies on Nex Playground and communicate your findings.
Should Have
Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university.
Strong interest in machine learning and enthusiasm for learning new methods and tools.
Solid mathematical fundamentals and comfort with quantitative reasoning.
Strong analytical and problem-solving skills.
Programming experience in any language.
A curious, systematic approach to learning through experimentation.
Strong communication and collaboration skills.
Nice To Have
Experience with Python or familiarity with PyTorch, TensorFlow, or another ML framework.
Interested in computer vision, audio processing, sensor fusion, or multimodal learning.
Interested in model optimization, on-device inference, GPUs, NPUs, or resource-constrained devices.
Interested in data curation workflows, or dataset quality analysis.
Enthusiastic about games, interactive physical experiences, and helping people be active and healthy.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong
Type: Full Time Internship (June 1, 2027 - August 31, 2027)
The Role
Help build the technology behind Nex Playground—where games, computer vision, consumer hardware, and cloud services come together to get families moving.
The Platform Software Engineering (PSWE) team owns the core platform powering every Playground experience. As a Platform Software Engineer Intern, you’ll own a meaningful project, make real technical decisions, and ship software with visible impact. A dedicated mentor and engineers across the Nex team will support you from design through launch.
What You'll Build
Your project will match your strengths and interests while solving a real team need. You may:
Ship a new capability for PlayOS, Play Services, or the cloud platform.
Build an API, service, developer tool, or delivery automation used by other teams.
Improve performance and reliability using testing, logs, metrics, and telemetry.
Debug problems across device, network, backend, and cloud boundaries.
Take your work from idea to launch: design, build, test, document, and measure it.
Should Have
Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university.
Pursuing a degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
Strong programming fundamentals, problem-solving skills, and a learning mindset.
Experience with at least one language or runtime such as Kotlin/Java, C/C++, Go, Python, TypeScript/Node.js.
Clear communication, collaboration, and care for software quality.
Nice To Have
Experience with Android, Linux, embedded systems, or device software.
Familiarity with backend services, APIs, databases, distributed systems, or Google Cloud Platform.
Exposure to CI/CD, containers, release automation, monitoring, testing, or performance optimization.
Genuine interest in building platform software that connects devices, cloud services, and player experiences.
Curiosity about one or more of these areas: Android or embedded systems, backend and distributed systems, developer infrastructure, games, or technology that helps people be active together.
Enthusiasm for learning across technical boundaries and understanding how a feature works end to end.
Why You’ll Love This Internship
Real Ownership: Ship a production-ready project—not a throwaway intern exercise.
Dedicated Mentorship: Learn through regular 1:1s, design reviews, debugging, and code feedback.
Broad Exposure: See how device software, cloud services, infrastructure, privacy, and security work together.
Future Opportunity: High-performing interns may be considered for a full-time role at Nex.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
ОфисseniorBoston, MA; New York, NY
ОфисAlmaty, Kazakhstan; Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in
География найма не уточнена
New York City, New York
New York, New York, United States; Candidates must be located within a commutable distance to our NYC office in Soho
seniorOakland, California, United States, AMER
УдалённоUnited States (Remote); 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
seniorUnited States; We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications; We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics
ОфисNew York City
СтажёрNex employees may be expected to collaborate with colleagues across different time zones
СтажёрNex employees may be expected to collaborate with colleagues across different time zones
СтажёрNex employees may be expected to collaborate with colleagues across different time zones