Location: Georgia; Armenia; Serbia; Bangkok; Kyrgyzstan; Kazakhstan; Uzbekistan; Da Nang
Workplace: Remote
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from top-tier investors.
Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch.
If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
ABOUT THE ROLE
You'll build and own Salmon's Frontline Employees Database — the internal system that runs HR and operational processes for around 4,000 frontline employees.
WHAT YOU'LL DO
- Start with Frontline DB, which brings together employee and candidate profiles, access and account data, time-off information, shift planning, and selected operational results — with a backlog of initiatives across development, integrations, data mapping, documentation, and process improvement.
- Own solutions end to end: dig into the business need, clarify requirements with stakeholders, propose a practical approach, and turn it into a working MVP.
- Work directly with HR, Operations, People Partners, and Support, and over time extend scope into integrations with HiBob, Ashby, and other internal systems.
WHAT YOU'LL OWN
- Design, build, and maintain automation and integration workflows in n8n.
- Develop and improve PostgreSQL data structures for custom internal solutions.
- Build internal applications, forms, and user interfaces in Retool.
- Integrate HR and enterprise systems through REST APIs, webhooks, and other integration methods, with custom logic in Python and/or JavaScript.
- Test, troubleshoot, document, and maintain what you build — and handle internal support requests for existing tools and workflows (about 20% of the role).
- Grow MVP solutions into reliable internal products as processes and needs evolve.
WHAT MAKES YOU A STRONG FIT
- Hands-on experience with n8n, Make, or another low-code automation platform.
- Confident SQL skills and experience with relational databases — you can query, validate, and interpret data independently.
- Experience with Retool or another platform for building internal applications and forms.
- Working knowledge of Python and/or JavaScript for scripting and automation.
- Understanding of REST APIs, webhooks, and common integration patterns, plus a basic grasp of testing, debugging, and error handling.
- A proactive working style — you read incomplete requirements, make reasonable technical decisions independently, and know when to escalate — with good English for working with international stakeholders.
WHAT WE OFFER
Build what's next in Southeast Asian fintech.
OWNERSHIP AND FLEXIBILITY
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8)
- Company-provided tools and equipment
- Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene
HEALTH AND TIME OFF
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
- 105 days of paid maternity and paternity leave for employees relocating to Manila
RELOCATION AND FAMILY SUPPORT
- Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics
- Reimbursement of eligible pet relocation expenses
- USD 2,500 per year for flights home
- Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18
GROWTH AND TEAM EXPERIENCE
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s
УдалённоGeorgia; Armenia; Serbia; Bangkok; Kyrgyzstan; Kazakhstan; Uzbekistan; Da Nang; Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8); RELOCATION AND FAMILY SUPPORT; Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics; Reimbursement of eligible pet relocation expenses
Location: Poland; Romania; Lithuania; Latvia
Intetics Inc.
, a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced
Go Application Architect
to join our dynamic team on a full-time basis.
What You will do:
- Translate ambiguous business requirements into a clear, well-structured technical architecture;
- Design distributed and microservice-based systems that are scalable, fault-tolerant, and maintainable;
- Make and justify architectural trade-offs (performance vs. complexity, consistency vs. availability, build vs. buy);
- Design robust API contracts (REST/gRPC) with versioning and backward compatibility in mind;
- Architect data storage strategies across relational and non-relational databases, including schema design and query optimization;
- Design event-driven and asynchronous flows using message brokers (Kafka, RabbitMQ, NATS);
- Anticipate scalability and reliability risks before they become production incidents, and design systems that account for load, failure modes, and observability from the start;
- Produce clear architecture documentation (ADRs, technical specs, diagrams) that both engineers and business stakeholders can follow;
- Guide and mentor development teams on best practices, code quality, and Go idioms without formally managing them;
- Communicate technical decisions and trade-offs effectively to Product Owners, Solution Architects, and other non-technical stakeholders;
- Evaluate new technologies, tools, and frameworks and assess their fit for the team's technical roadmap;
- Balance hands-on coding with architectural oversight — staying technically credible while enabling other engineers to execute.
Requirements
- 7+ years of overall software development experience;
- 4-5+ years of hands-on, production-level experience with Go, including deep understanding of goroutines, channels, context, memory model, and concurrency patterns;
- Higher education in Computer Science (software development, etc.);
- Extensive experience working with AI and the process of implementing/configuring it within a team;
- Experience in fintech, banking, or other regulated/high-compliance domains;
- Proven experience designing distributed, microservice-based, and/or high-load systems;
- Strong expertise in API design (REST and/or gRPC), including versioning and backward compatibility;
- Solid understanding of relational databases (PostgreSQL/MySQL) — schema design, query optimization, transactions;
- Experience with message brokers (Kafka, RabbitMQ, NATS) and event-driven architecture;
- Strong knowledge of containerization and orchestration (Docker, Kubernetes);
- Experience with CI/CD pipelines and modern DevOps practices;
- Golang (design of scalable, distributed backend systems);
- Concurrency patterns in Go (goroutines, channels, sync primitives);
- System design for high performance and maintainability;
- CI/CD tools and pipelines (e.g. GitLab CI, GitHub Actions, Jenkins, etc.);
- Understanding of system design principles: scalability, fault tolerance, security, observability (metrics, logging, tracing);
- Strong communication skills — ability to explain architectural decisions to both technical teams and business stakeholders;
- Experience conducting architecture reviews and writing design documentation (ADRs, technical specs);
- Readiness to work from 9 till 18 CEST;
- Readiness to practical task (live coding in Go) during the interview with the client.
Would be a plus:
- Experience with NoSQL databases (MongoDB, Cassandra, ClickHouse) or caching layers (Redis);
- Exposure to cloud platforms (AWS, GCP, Azure) and cloud-native architecture patterns;
- Experience with Domain-Driven Design (DDD) or Event-Driven Architecture;
- Prior experience in a formal Architect, Staff Engineer, or Principal Engineer role;
- Familiarity with additional languages (Java, Python, C++) for cross-team collaboration;
- Experience integrating AI/LLM components into production systems;
- Contributions to open-source Go projects or internal frameworks/libraries;
- Experience with SRE practices (SLI/SLO, error budgets, incident response);
- Relevant certifications (AWS/GCP/Azure architecture certifications).
Задачи:
• Анализировать бизнес-процессы в снабжении, продажах, производстве и документообороте;
• Находить этапы, которые отнимают много времени, тормозят работу или приводят к ошибкам;
• Разрабатывать внутренние инструменты для сотрудников: скрипты, таблицы, чат-боты и другие решения;
• Настраивать и дорабатывать Google Таблицы, amoCRM, 1С и другие сервисы;
• Интегрировать учётные системы, приложения и AI-модели через API;
• Применять GPT, Claude Code и другие AI-инструменты для решения реальных задач компании;
• Автоматизировать сбор и обработку данных;
• Использовать ИИ для сравнения цен поставщиков и поиска возможностей снизить затраты на закупку материалов;
• Оценивать результат каждой автоматизации в цифрах: сколько времени и денег она сэкономила компании.
Требования:
• Специалиста с инженерным и системным мышлением;
• Человека, который видит рабочий процесс как понятный алгоритм и понимает, как его улучшить;
• Уверенного пользователя Python и Google Таблиц;
• Специалиста с опытом интеграции разных систем через API;
• Человека, который умеет создавать или настраивать чат-ботов;
• Кандидата с реальными кейсами применения ИИ в бизнесе;
• Самостоятельного специалиста, способного разобраться в задаче и предложить работающее решение.
Условия:
• Стабильная и прозрачная оплата труда;
• Выплаты два раза в месяц;
• График 5/2, с 9:00 до 18:00 часов;
• Возможность напрямую влиять на эффективность производственной компании;
• Реальные задачи, результаты которых можно измерить в часах, деньгах и скорости работы.
География найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Задачи:
- Проектирование архитектуры решения для высокой доступности и масштабируемости;
- Оптимизация производительности;
- Code review;
- Покрытие кода тестам;
- Участие в проектировании новых фич и сервисов.
Требования:
- Опыт коммерческой разработки 3+ лет и разработки на Python 2+ лет;
- Понимание настройки и запуска CI/CD пайплайнов;
- Экспертиза в облачной инфраструктуре;
- Опыт работы с бэкендом для AI и ML.
Обязанности:
• активно участвовать в разработке, развитии облачной инфраструктуры Банка и связанных сервисов (automate infrastructure provisioning, infrastructure as code)
• участие в разработке backend части облачной платформы и микросервисов
• подготовка документации, схем, участие в проектирование архитектуры и процессов
• предварительное тестирование кода. Написание полного стэка тестов.
Требования:
• высшее техническое образование (ИТ)
• опыт работы: не менее 3 лет разработки программного обеспечения
• хорошие знания и опыт разработки на Python, хорошие знания особенностей СУБД PostgreSQL, знание T-SQL
• опыт работы с контейнерами (Istio/OpenShift/k8s), опыт написание тестов и тест кейсов, опыт проектирования и развития REST API, gRPC
• знание подходов при разработке микросервисных приложений
• инструментальное владение AI для анализа, генерации и автоматизации.
Условия:
• комфортный современный офис по адресу: 2-й Южнопортовый проезд,12А, к1, рядом с м. Кожуховская
• возможность перейти на гибридный формат работы после адаптации
• ежегодный пересмотр зарплаты, годовая премия
• корпоративный спортзал и зоны отдыха
• более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
• расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
• гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
• подписка Прайм с возможностью совместного использования на трёх близких
• вознаграждение за рекомендацию друзей в команду Сбера.
Задачи:
— Решать сложности бизнес-заказчиков и оценивать полученный результат.
— Планировать работу команды (Data Scientists, ML-engineers).
— Проектировать развитие системы прогнозирования спроса.
— Проектировать с руководителями смежных технических команд совместные интеграции.
— Программировать и проводить code review.
Требования:
— Опыт работы в ML и DS проектах от 5 лет.
— Опыт решения задач прогнозирования временных рядов.
— Управленческий опыт работы.
— Умение писать на Python.
— Умение работать с данными на PySpark, SQL или Pandas.
— Знание и понимание классических ML алгоритмов (линейная регрессия, деревья решений и градиентный бустинг).
— Знание Deep Learning фреймворков (Pytorch, Transformers).
Location: San Francisco, CA
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
The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day.
You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon.
You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond.
Responsibilities
Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization
Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems
Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency
Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil
Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source
Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal
Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh
You may be a good fit if you
Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions
Have 5+ years leading engineers, including at least 3 years as a people manager
Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better
Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation
Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety
Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause
Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to
Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right
Strong candidates may also
Have led corporate networking at a company that added offices faster than it added network engineers
Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale
Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use
Have designed dense wireless for large event spaces and high-occupancy floors
Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close
Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house
Technical Skills
We're looking for deep, hands-on experience in each of these — not surface familiarity:
Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet)
Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues)
Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation)
Out-of-band management and secure, auditable administrative access
Network automation and configuration as code (Python, templating, vendor APIs, source control, CI)
Network observability (streaming telemetry, flow and log pipelines)
Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity)
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$285,000
—
$325,000 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: San Francisco, CA
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
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep medicinal chemistry expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert medicinal chemist with hands-on experience designing, synthesizing, purifying, and characterizing small molecules. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules and AI-proposed synthetic routes against real chemistry.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC)
Coordinate synthesis and biological evaluation with external contract research organizations and academic partners
Evaluate AI-designed molecules and AI-proposed synthetic routes, drive them to experimental readout, and feed results back to research teams
Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization
Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry
Demonstrated medicinal chemistry experience, including SAR-driven design and optimization of small molecules, with recent, sustained hands-on synthetic work
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
5+ years of medicinal chemistry experience beyond the PhD
Track record of advancing programs from hit identification through lead optimization
Experience directing synthetic chemistry activities at contract research organizations
Computational chemistry, cheminformatics, or coding skills, for example Python with RDKit or pandas for data analysis and automation
Experience using AI or ML tools in the life sciences
Publications and/or patents demonstrating scientific impact
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:
$300,000
—
$320,000 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, 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
Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly.
The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments.
This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory.
Key responsibilities
Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from.
Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage.
Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments.
Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization.
Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead.
Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews.
Minimum qualifications
Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems
Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start
Have a track record of building platforms or internal tooling that other teams widely adopt
Have led the technical design of projects that span several engineers or teams
Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before
Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners
Preferred qualifications
Proficiency in one or more systems languages (e.g., C, C++, Rust, Go)
8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience
Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation
Experience with data governance requirements in a regulated or high-sensitivity domain
Fluency with agentic coding tools such as Claude Code
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
—
$485,000 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: San Francisco, CA | New York City, NY | Seattle, WA
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
Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again.
The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done.
Key responsibilities:
Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend.
Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list.
Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution.
Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk.
Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it.
Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you.
Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop.
Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning.
Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership.
Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours.
Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts.
Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory.
Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on.
Minimum qualifications:
Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role.
Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours.
Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it.
Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk.
Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution.
A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one.
Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it.
Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question.
Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable.
Preferred qualifications:
5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business.
Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run.
Experience running at-risk or red account reviews and turning stalled work around.
Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them.
Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers.
Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not.
Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial.
Experience on a new team where the operating model was being written while you ran the book, and you shipped both.
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:
$215,000
—
$300,000 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: San Francisco, CA
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
Our Partner Experience team is building an AI-native operating model. We already run a growing set of partner-facing systems: a partner portal, CRM workflows, enablement and certification platforms, and the trackers that connect them. The systems lead on our team owns that foundation — the portal, the data model, and the integrations that keep partner records accurate and flowing.
This role is the other half of that build. As our AI Operations Engineer, you'll design, build, and run the agentic workflows that sit on top of those systems: Claude-powered agents and automations that triage partner applications, draft and send partner communications, sync data across tools, surface deal and enablement signals, and take routine operational work off the team entirely. Where the systems lead builds the rails, you build what runs on them.
This is a builder role, not an analyst role. You'll ship working automations weekly, own them in production, and continuously expand what the team can do without adding headcount.
Key responsibilities:
Design and build agentic workflows (using Claude, MCP connectors, and API integrations) that automate core partner experience operations: application triage, onboarding, deal registration, certification tracking, partner communications, and reporting
Partner closely with our systems lead to integrate these workflows with the partner portal, CRM, enablement stack, finance systems, and database systems — consuming and writing back to the systems of record rather than creating shadow processes
Turn recurring manual work into reliable, monitored automations: define the workflow, build it, test it against real cases, add guardrails and human-in-the-loop checkpoints where decisions carry risk, and document how it runs
Own the operational health of what you ship: error handling, edge cases, escalation paths, and iteration when partner processes change
Prototype fast with the team: sit with partner managers, find the highest-friction workflows, and get a working v1 in front of them in days, not quarters
Establish reusable patterns (skills, prompts, connectors, playbooks) so each new workflow is faster to build than the last, and teach the broader team to self-serve on the simple ones
Minimum qualifications:
Hands-on experience building with LLMs and agentic tooling: prompt and workflow design, tool/function calling, MCP or comparable integration frameworks, and evaluating agent output quality
Experience working across APIs and business systems — CRMs (e.g., Salesforce), PRM/partner portals, LMS/certification platforms, spreadsheet-based tools, Slack, and email — and scripting the glue between them in Python or JavaScript
Strong judgment about automation risk: knowing which steps an agent can own outright, which need a human checkpoint, and how to design for graceful failure
Process instincts: ability to look at a messy manual workflow, find the actual bottleneck, and redesign it rather than just automating it as-is
Clear written communication; documents what you build so it outlives you
Preferred qualifications:
5+ years in operations engineering, solutions engineering, business systems, RevOps, or a similar build-heavy role, ideally supporting a partner, sales, or customer success organization
Experience in partner/channel operations specifically (deal registration, MDF/co-sell programs, partner tiering, certification pipelines)
Experience shipping internal AI tools or automations that are still running in production today
Familiarity with the Claude API, Claude Code, or agent frameworks; building custom MCP servers is a plus
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:
$215,000
—
$300,000 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: Dallas, Texas
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
The Senior Mechanical Engineer, Data Center Operations Engineering & Reliability provides full-lifecycle mechanical engineering support across the data center portfolio, from site design and construction through commissioning, turnover,
and enduring operations.
This role serves as an operations-focused technical owner for mechanical infrastructure, ensuring systems are designed, built, commissioned, maintained, and operated in a way that protects uptime, preserves design intent, supports redundancy models, and improves long-term asset reliability.
The role partners with site operations, design and construction, commissioning, controls/BMS, vendors, OEMs, finance, and enterprise reliability leadership to translate design decisions and construction outcomes into safe, maintainable, and reliable operations.
What You’ll Do:
This position supports the enterprise reliability strategy, maintenance governance, asset lifecycle planning, engineering standards, RCA discipline, technical escalation model, commissioning lessons learned, and continuous improvement objectives owned by the VP, Operational Reliability & Engineering.
Key Responsibilities
1. Site Design and Pre-Construction Support
Provide mechanical engineering input during site selection, concept design, schematic design, design development, and construction document reviews.
Review mechanical design packages for operational readiness, maintainability, service access, system redundancy, capacity, resiliency, and preservation of design intent.
Evaluate mechanical system designs, including chilled water systems, air-cooled and water-cooled chillers, pumps, cooling towers, CRAH/CRAC units, heat exchangers, economizers, valves, piping, filtration, humidification, water treatment systems, and supporting infrastructure.
Identify design risks that could create future operational issues, single points of failure, maintenance access constraints, reliability gaps, or lifecycle cost exposure.
Participate in constructability reviews, value engineering discussions, submittal reviews, RFI resolution, equipment selection reviews, and design standard updates.
Partner with design and construction teams to ensure mechanical systems align with enterprise standards, OEM requirements, warranty protections, and long-term operating expectations.
2. Construction, Commissioning, Turnover, and Operational Readiness
Support construction-phase technical reviews to ensure installed mechanical systems remain aligned with approved design intent, redundancy models, sequence requirements, and operating requirements.
Review and provide input on commissioning plans, functional performance tests, integrated systems tests, failure-mode tests, and sequence-of-operations validation.
Validate that mechanical alarms, controls sequences, set points, trends, and BMS visibility support safe and reliable operations.
Ensure turnover packages include complete O&M manuals, as-built drawings, asset data, warranty information, spare parts requirements, PM tasks, training materials, and vendor service requirements.
Confirm site operations teams are prepared to operate, maintain, and troubleshoot mechanical systems before handoff to enduring operations.
Capture construction and commissioning lessons learned and incorporate them into standards, operating procedures, maintenance programs, and future designs.
3. Enduring Operations and Reliability Engineering
Serve as a mechanical technical escalation point for site operations during incidents, abnormal operating conditions, environmental excursions, equipment failures, and reliability concerns.
Analyze mechanical system performance trends, including temperature, humidity, flow, pressure, valve position, pump performance, chiller efficiency, economizer operation, and controls stability.
Lead or support root cause analysis for mechanical incidents, near misses, recurring alarms, capacity constraints, and equipment failures.
Develop corrective and preventive actions that eliminate repeat failure modes and reduce operational risk.
Partner with controls/BMS teams to improve alarm rationalization, monitoring, trending, sequence performance, and operator visibility.
Provide engineering guidance for live-site maintenance activities, system isolations, change management reviews, MOPs, SOPs, EOPs, and risk assessments.
Own the mechanical sequence-of-operations documentation as a living artifact post-turnover, ensuring it stays current as systems, set points, and control strategies evolve during enduring operations.
4. Maintenance, Asset Lifecycle, and Risk Management
Define, review, and improve preventative maintenance standards for critical mechanical equipment across the operating portfolio.
Ensure maintenance practices align with OEM recommendations, warranty requirements, contractual uptime commitments, and site-specific operating conditions.
Support reliability-centered maintenance and predictive maintenance programs where appropriate, using asset condition, failure history, service records, and operating data.
Develop mechanical asset criticality frameworks to prioritize inspection, maintenance, testing, spare parts, capital replacement, and engineering oversight.
Partner with finance, operations, and reliability leadership to support long-term capital replacement forecasts tied to equipment degradation, age, risk, and lifecycle cost.
Review vendor service quality, maintenance documentation, corrective maintenance effectiveness, and spare parts strategies for critical mechanical systems.
Own the water treatment and chemistry monitoring program for chilled water and condenser water systems, including chemistry limits, treatment equipment performance, ongoing monitoring cadence, and coordination with water treatment vendors to protect system integrity and heat transfer efficiency.
5. Standards, Governance, and Continuous Improvement
Develop and maintain mechanical engineering standards, operating playbooks, troubleshooting guides, technical bulletins, and review frameworks for the operations organization.
Support management of change processes to ensure mechanical modifications are reviewed for reliability, redundancy impact, maintainability, documentation, training, and operational readiness.
Translate site-level incidents, near misses, asset performance issues, and commissioning findings into portfolio-wide improvements.
Help establish engineering competencies, technical training content, and qualification expectations for mechanical operations support.
Reduce single points of technical dependency by documenting knowledge, coaching site teams, and strengthening internal engineering capability.
Promote disciplined risk evaluation, technical documentation, and cross-functional decision-making across design, construction, commissioning, and operations.
What We’re Looking For:
Required Qualifications
Bachelor's degree in Mechanical Engineering or a closely related technical discipline.
8-10 years of progressive mechanical engineering experience, with at least 5 years supporting data centers, mission-critical facilities, central plants, industrial facilities, or other 24x7 high-availability environments.
Demonstrated experience supporting mechanical infrastructure across design review, construction support, commissioning, turnover, maintenance, troubleshooting, and enduring operations.
Strong working knowledge of data center or mission-critical mechanical systems, including cooling plants, air handling systems, pumps, heat rejection equipment, piping, valves, controls, and redundancy configurations.
Experience reviewing mechanical drawings, equipment submittals, sequence-of-operations documents, commissioning scripts, test reports, O&M manuals, and maintenance documentation.
Ability to troubleshoot complex mechanical issues in live operational environments and make sound recommendations that balance uptime, safety, cost, schedule, and long-term reliability.
Experience with preventative maintenance, root cause analysis, corrective action planning, asset lifecycle management, and operational risk assessment.
Strong communication skills with the ability to explain technical issues clearly to site operations, leadership, vendors, design teams, construction teams, and commissioning partners.
Preferred Qualifications
10+ years of mechanical engineering experience in large-scale data center, mission-critical, or multi-site critical infrastructure environments.
Professional Engineer license or Engineer-in-Training certification.
Experience serving as a senior mechanical technical escalation point for live operational facilities.
Experience supporting new data center builds, major expansions, retrofits, integrated systems testing, and operational turnover.
Knowledge of Uptime Institute Tier concepts, ASHRAE guidance, OEM maintenance requirements, and data center availability expectations.
Experience with BMS platforms, mechanical controls troubleshooting, alarm strategy, trend analysis, and sequence optimization.
Familiarity with predictive maintenance technologies, thermal modeling, CFD, digital asset management, CMMS data quality, or reliability analytics.
Experience developing mechanical standards, SOPs, MOPs, EOPs, RCA templates, training materials, and engineering governance processes.
Key Competencies
Mission-critical mechanical engineering expertise.
Operational reliability mindset and strong risk recognition.
Ability to identify design, construction, commissioning, and operating issues before they become outages.
Practical understanding of how design and construction decisions impact long-term operations.
Strong troubleshooting, incident response, and root cause analysis capability.
Clear technical communication and cross-functional leadership.
Discipline around change management, documentation, governance, and lessons learned.
Ability to create scalable standards for a growing operating portfolio.
Success Measures
Improved mechanical system reliability and reduced repeat mechanical incidents.
Strong uptime performance across supported data center sites.
Successful transition of new sites from design and construction into stable operations.
Reduction in emergency corrective maintenance related to mechanical systems.
Improved mechanical asset health visibility and long-term capital replacement planning.
Standardized mechanical maintenance practices, technical documentation, and operating expectations across the portfolio.
Fewer design, commissioning, and turnover issues impacting operations.
Increased technical capability of site operations teams and reduced reliance on external consultants for core mechanical expertise.
Overall reduction in operational SLA violation risk due to operational support (programs/processes/tooling).
What We Offer (Dallas):
Competitive base salary and discretionary bonus
Flexible Time Off (i.e. unlimited paid vacation days)
Company paid Holidays (14)
Company paid sick leave
Company-paid health and protective benefits for employees, partners, and other dependents
3% 401(k) company contribution
Generous paid Parental Leave
Free virtual coaching and counseling sessions through Ginger
Free daily snacks in-office
Smart, entrepreneurial, and fun colleagues
Employee Resource Groups
*Benefits may vary depending on location.
Apply now and join us as we grow the economy that runs on code.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Remote (Canada)
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
The Finance, Brokerage and Market Risk Data Science team is a dynamic group of data scientists and analytics developers who deliver high-quality financial metrics and advanced analytics that drive key decisions at Wealthsimple. We support financial planning, treasury operations, liquidity management, and brokerage risk assessment for products like margin trading and options.
Our team has created a solid foundation for data-driven financial decision-making. Now we're ready to scale these initiatives, optimizing financial resources and enhancing risk management as our product offerings grow increasingly sophisticated.
In this role, you'll make a significant impact through advanced analytics that support both strategic financial planning and sophisticated market risk management across our expanding brokerage services.
IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO:
- Own the development and maintenance of the finance and market risk data marts, optimizing for performance, data quality, reliability, and efficiency
- Design, build, and document robust data pipelines that generate critical financial reports and metrics for stakeholders across the organization
- Build, automate, and maintain brokerage reporting & monitoring systems, ensuring data integrity and accuracy across financial processes
- Partner closely with business stakeholders in brokerage and market risk to launch and support new financial products and model development initiatives
- Create insightful dashboards and visualizations to monitor brokerage KPIs, profitability metrics, and regulatory reporting requirements
- Provide business intelligence support for trade and collateral monitoring, financial reporting, product performance analysis, and forecasting initiatives
- Translate complex business requirements into scalable analytics solutions that address key financial and risk management needs
- Participate in code reviews and contribute to best practices for data engineering and analytics development
- Mentor junior team members and share knowledge to elevate the team's technical capabilities
WHAT YOU BRING:
- 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management
- Strong proficiency in SQL with the ability to write complex queries, optimize performance, and work with large-scale datasets
- Experience working at brokerage operations or financial services, with knowledge of accounting principles and market risk concepts (preferred)
- Familiarity with regulatory reporting requirements and financial product structures (a plus)
- Hands-on experience building and orchestrating data pipelines using modern tools such as dbt, Airflow, or similar workflow management platforms
- Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent)
- Proficiency in Python for data manipulation, automation, and scripting
- Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews
- Proven ability to translate complex business requirements into scalable, data-driven solutions
- Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms
- Understanding of analytics engineering principles and best practices for building maintainable, well-documented data models
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders
- Demonstrated ability to collaborate effectively with cross-functional teams, including finance, risk, and product teams
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Задачи:
— Разрабатывать и оптимизировать критически важные компоненты интеграционной платформы
— Поддерживать и улучшать архитектуру, включая проектирование и реализацию новых функций
— Внедрять лучшие практики по написанию кода, тестированию и развертыванию отказоустойчивых систем
— Проводить code review и менторинг других разработчиков для развития технической экспертизы команды
Требования:
— Опыт коммерческой разработки backend банковских ИТ-решений от 5 лет, уровень senior
— Более 5 лет опыта разработки на Java 17+, включая глубокие знания Java Core, JMM и JVM
— Глубокие знания и опыт работы с Spring Framework, включая Spring Boot, Spring Data, Spring Security, а так же WebFlux
— Опыт работы с событийными микросеврисными архитектурами через Kafka
— Практический опыт работы с очередями сообщений (Kafka / Artemis) и Kafka Streams
— Практический опыт работы с форматом Avro и Schema Registry
— Умение проектировать и разрабатывать API
— Опыт работы с WSO2 и Gravitee
— Знания SQL и принципов работы реляционных и нереляционных баз данных
— Понимание методологий CI/CD, включая инструменты автоматизации (Jenkins)
— Опыт работы с системами контейнеризации и оркестрации (Docker / Kubernetes)
— Знания методологий экстремального программирования: TDD, BDD, DDD, Pair Programming и их практическое применение
— Понимание принципов методологий DevOps и Agile
Будет плюсом:
— Опыт участия в проектах по импортозамещению интеграционных решений
— Опыт работы в финансовом секторе или крупном интеграторе от 3 лет
— Опыт работы на Linux
Условия:
— Разработка на современном стеке технологий
— Работа в гибкой методологии разработки
— Возможность работать как в офисе, так и в гибридном/удаленном формате
— Поездки на конференции и тренинги за счет компании, внутренние семинары, внутренние митапы
— Новая техника для комфортной работы
— Сессия профессионального развития персонала дважды в год, результатом которой является план индивидуального развития каждого сотрудника
Location: San Francisco, CA
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 are looking for a Finance & Strategy (FP&A) Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for building and maintaining platforms that support our core Financial Planning, Forecasting and Analytics processes. You will bring deep hands-on expertise in EPM platforms like Anaplan, Pigment and data platforms like BigQuery, who writes integrations, tooling, and production code that connect them to Anthropic’s ERP and data warehouse systems. You'll work closely with Corporate Finance & strategy stakeholders to translate business requirements into innovative technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure.
You'll manage day-to-day Finance system operations, support critical financial processes and monthly Forecasting cycles, and take on more ambitious system projects over time, including using Claude to automate FP&A work, help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow.
Responsibilities
Systems Administration and Support
Serve as a primary system administrator for our financial planning platform (Pigment), maintaining system health and optimal performance
Manage Finance applications, data, user access & security, system configurations, version management to ensure appropriate controls and governance.
Provide technical support and troubleshooting for end-users, resolving issues and answering system-related questions
System Development and Enhancement
Design, build, and maintain applications, Financial models and workflows with in-house tools and EPM platform like Pigment to support financial planning, budgeting, forecasting, and reporting processes
Develop and maintain secure dataflows, integrations using Rest APIs to connect FP&A platforms, data warehouse with enterprise systems (e.g., Workday Financials, Salesforce CRM, etc.)
Develop SQL-based data models, ETL pipelines, and reporting infrastructure to support financial close, forecasting, and business intelligence.
Business Partnership and Process Improvement
Partner with Finance & Strategy (FP&A), Accounting, and other Finance teams to understand business problems and use AI tools to build cutting edge solutions
Support Monthly Forecast, Annual & Long Range planning, Workforce planning, OPEX Forecasting, Balance Sheet & Cash flow forecasting processes.
Identify and implement process and Finance platform improvements.
Participate in testing and validation of system changes, ensuring accuracy and reliability
Assist with training and onboarding of new system users
Data Management and Quality
Ensure the accuracy and integrity of financial data across systems
Develop and maintain data validation rules and quality checks
Troubleshoot data discrepancies and work with relevant teams to resolve issues
Support data migration and transformation activities as needed
Minium Qualifications
Have 8+ years of experience in FP&A systems - EPM platforms, Finance data warehouse, with a focus on financial planning, forecasting and analysis.
Have hands-on experience administering and developing solutions in enterprise planning platforms (e.g., Pigment, Anaplan, Adaptive Planning, or similar EPM tools)
Possess strong engineering and technical skills including advanced SQL and data modeling skills, creating and maintaining system integrations and data pipelines.
Have demonstrated ability to translate business requirements into technical specifications and system designs.
Have a strong understanding of FP&A processes, financial reporting, and accounting principles
Preferred Qualifications
Techno-functional: you're someone who is a CFA but also a hands on developer.
Experience owning changes inside a shared production codebase alongside a product engineering team
Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable
Experience building robust Finance applications with LLMs
Knowledge of programming or scripting languages (Python, JavaScript, etc.)
Experience with Financial planning & analysis (CFA), experience with pre-IPO companies, supporting rapid growth and scaling financial systems accordingly.
Understanding of financial data security and compliance requirements
Certification in relevant planning platforms (e.g., Pigment, Anaplan Model Builder)
Project management skills and experience leading system implementation workstreams
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:
$205,000
—
$270,000 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: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027.
WHAT YOU'LL ACHIEVE:
- You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows.
- You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments.
- You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field.
- To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python.
SKILLS YOU'LL NEED TO BRING:
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends.
- You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users.
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
- Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus.
NICE TO HAVES:
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You’re a builder who finds joy in building software solutions for yourself or others.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset
- Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028.
- This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
SKILLS YOU’LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
NICE TO HAVES:
- You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
УдалённоPoland; Romania; Lithuania; Latvia
San Francisco, CA
San Francisco, CA
New York City, NY
leadГеография найма не уточнена
San Francisco, CA
seniorГеография найма не уточнена
УдалённоseniorRemote (Canada)
San Francisco, CA
ГибридSan Francisco, California
juniorNew York
ГибридСтажёрSan Francisco, California; New York, New York
Все вакансии в одном месте - страница 215 · Job Hunters
