Location: Bogotá, Colombia
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We’re looking for a detail-oriented Junior Analyst to support our Legal and Compliance team. In this role, you will work with internal teams and external stakeholders to provide accurate, timely, and compliant responses to legal and regulatory requests pertaining to asset recovery inquiries. This position provides a unique opportunity to gain hands-on experience at the intersection of law, compliance, investigations, and blockchain technology.
You will thrive in this role if you enjoy analyzing complex cases, managing multiple priorities, collaborating across teams, and continuously learning in a fast-paced, global environment.
Responsibilities
Case Intake & Triage: Verify the authenticity and completeness of asset recovery requests, assign them to the appropriate team, and track deadlines for timely resolution.
Collaboration & Risk Management: Work closely with internal teams and external stakeholders to progress cases, identify risks, and escalate complex issues when needed.
Legal & Investigative Analysis: Synthesize findings, prepare recommendations for management, and oversee implementation of approved decisions.
Documentation & Compliance: Maintain thorough case records, communication trails, and ensure adherence to internal and regulatory protocols.
Regulatory Awareness: Stay updated on developments in digital asset regulations (e.g., stablecoins) and support updates to internal processes and cross-border compliance activities.
Bachelor’s degree in Law, Legal Studies, Compliance, Finance, or a related field.
1–3 years of experience in legal, compliance, or investigative roles.
Solid understanding of AML/KYC, sanctions compliance, and digital asset regulations.
Strong attention to detail, organizational skills, and ability to manage multiple tasks.
Excellent written and verbal communication skills in English.
Preferred Qualifications
Experience in investigations, asset recovery, or legal casework.
Exposure to regulatory authorities, prosecutors, or law enforcement agencies.
Familiarity with international legal frameworks, cross-border compliance, and digital asset regulations.
Knowledge of blockchain analytics or compliance technology is a plus.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Задачи:
— Дежурства в сменном графике 2/2 (с 9:00 до 21:00 и с 21:00 до 9:00)
— Мониторинг алертов в режиме реального времени
— Первичная сортировка и приоритизация алертов (triage)
— Выявление истинных инцидентов среди ложных срабатываний
— Первичная квалификация инцидентов
— Локализация и сдерживание угроз
— Эскалация инцидентов соответствующим командам
— Документирование действий и таймлайнов
— Сбор и анализ данных из различных источников (EDR, NDR, логи, прокси)
— Построение цепочки атак (kill chain)
— Определение масштаба компрометации
— Выявление вектора атаки и точек входа
— Взаимодействие с другими подразделениями (ИТ, ИБ, руководство)
— Информирование о статусе инцидентов
— Консультирование пользователей по вопросам ИБ
— Ведение журнала инцидентов и заполнение отчётов
— Актуализация документации (playbook, runbook)
— Участие в post-mortem
— Проверка и настройка правил детекции
— Участие в тестировании новых правил
— Выявление ложноположительных срабатываний
— Предложения по улучшению процессов
Требования:
— Высшее образование в области защиты информации или информационных технологий
— Опыт работы в области информационной безопасности не менее 1 года
— Понимание концепции Kill Chain, описывающей типовые этапы совершения компьютерных атак и их последовательность
— Опыт применения методологий и практических методов обеспечения информационной безопасности в корпоративных информационных системах
— Опыт взаимодействия с партнерами и заказчиками в рамках технической поддержки решений
— Знание сетевых технологий и протоколов: модель OSI, стек TCP/IP, сетевые протоколы DHCP, DNS, HTTP, SMTP, принципы работы маршрутизации в IP сетях, NAT
— Знание операционных систем семейства Windows на уровне системного администратора
— Знание операционных систем семейств Linux/MacOS на уровне опытного пользователя
— Знание классификации вредоносного программного обеспечения, основных функций и особенностей вредоносного программного обеспечения различных классов
Условия:
— Сменный график работы 2/2
— Офис в центре Москвы, метро Улица 1905 года
— Оформление в соответствии с трудовым законодательством РФ
— Конкурентный уровень дохода (оклад + годовой бонус)
— ДМС со стоматологией и возможностью подключения к программе своих детей и родственников
— Прозрачную систему мотивации, которая позволяет влиять на уровень дохода
— Работу в команде профессионалов
— Льготную программу ипотечного и потребительского кредитования
— Возможность вертикального и горизонтального роста
— Бонусные программы от компаний партнёров
— Возможность получения бонуса за закрытие вакансии по вашей рекомендации
— Материальная помощь при рождении детей и др. семейных обстоятельствах
— Обучение в Корпоративном университете за счёт компании
— Участие в профильных конференциях в качестве спикера или слушателя
— Корпоративная жизнь: спортивные комьюнити, клубы по интересам (настолки, интеллектуальные игры)
Location: Москва
Адаптивный PL и Цифровая арена — это мультиагентная платформа на базе ИИ, которая формирует адаптивные персонализированные предложения для продажи продуктов Сбера клиентам.
Платформа работает на современном технологическом стеке: Java, Spring Boot, Kafka, PostgreSQL. Инфраструктура базируется на Kubernetes (OpenShift). Это абсолютно новая система без легаси-кода.
Команда уже разработала и вывела MVP на ПРОД. Следующая стадия развития проекта — расширение функционала и тираж на всю сеть офисов Сбера по всей стране.
Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры.
ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!
Обязанности
* сбор, анализ и формализация требований к функциональным возможностям платформы (совместно с бизнес-заказчиками и продуктовой командой)
* моделирование бизнес-процессов (BPMN) и проектирование логики работы микросервисов
* описание сценариев интеграции с внешними системами (каналы продаж, CRM, партнёрские сервисы) через REST API и Kafka
* проектирование архитектуры взаимодействия компонентов в рамках существующей инфраструктуры (Kubernetes, Kafka, базы данных)
* подготовка аналитической документации: User Stories, Use Cases, спецификации API, схемы данных
* анализ и оптимизация текущих процессов платформы для повышения эффективности и качества.
Требования
* опыт системного и бизнес-анализа от 4 лет
* умение моделировать бизнес-процессы (BPMN, UML) и описывать логику работы систем
* понимание архитектуры распределённых систем: микросервисы, очереди сообщений (Kafka), REST, базы данных (SQL)
* знание основ Java / Spring Boot — будет плюсом (важно понимать ограничения и возможности разработки)
* опыт работы с инструментами управления требованиями (Jira, Confluence, Wiki)
* навыки написания спецификаций API (OpenAPI/Swagger) и работы с JSON/XML
* навыки работы с генеративными ИИ-моделями.
### Будет преимуществом:
* знание SQL и умение строить запросы
* понимание процессов CI/CD и особенностей развёртывания в Kubernetes
* опыт анализа данных (SQL, Elasticsearch, аналитические отчёты)
* знакомство с инструментами архитектурного моделирования.
Условия
* комфортный современный офис на м. Кутузовская
* формат работы: офис на время адаптации и далее гибрид
* 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
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендации друзей в команду Сбера.
Сейчас мы расширяем штат и находимся в поиске DevOps инженера для поддержки и развития сервисов Дата-аналитики. предотвращать и устранять сбои в ИТ-системах;
Сейчас мы расширяем штат и находимся в поиске DevOps инженера для поддержки и развития сервисов Дата-аналитики
Расследование инцидентов ИБ, сбор артефактов, подготовка отчётности и рекомендаций по реагированию; Анализ журналов событий (ОС, СЗИ, сетевые устройства, прикладное ПО);
Location: Москва
Сбер в поисках Руководителя направления аналитики (Центр сопровождения гос. продуктов и платежных сервисов)
Обязанности
* управление доходами и расходами центра: формирование тарифной модели, понимание структуры и состав плат, формирование предложений по их снижению
* управление стоимостью и эффективностью сервиса: понимание методики формирования стоимости, формирование предложений по снижению стоимости, в том числе за счёт новых технологий
* построение системного подхода в формировании прогнозов входящего потока и повышения их точности
* управление нагрузкой на процессах.
Требования
* высшее образование (математическое, техническое, экономическое, анализ данных)
* опыт работы в аналитике от 3 лет, из них от 1 года — управление командой аналитиков
* продвинутый SQL: сложные запросы, оптимизация, большие объёмы данных
* Python или R для анализа (Pandas, NumPy, Scikit-learn; R — аналогично)
* BI-инструмент: Tableau / Power BI / Qlik Sense (дашборды, метрики, автоотчётность)
* СУБД: PostgreSQL, MySQL, Oracle; плюсом — Hadoop, Spark
* статистика: A/B-тесты, регрессионный и кластерный анализ, cohort-анализ, предиктивные модели, LTV, сегментация
* регулярно использует LLM-инструменты в повседневной работе
**личные качества:**
* умение доносить сложное простым языком
* умение мотивировать, делегировать , задать структуру и процесс, добиться управленческого качества результата, а не просто корректных цифр и отвечать за результат
* проактивность: находит проблемы и выносит инициативы, не дожидаясь запроса
* устойчивость к неопределённости и быстрая адаптация
* приоритизация задач и управление временем
* опыт работы с ИИ инструментами.
Условия
* официальное трудоустройство
* работа в крупнейшем банке России
* формат дохода: оклад + годовая премия
* расширенный ДМС с первого дня и льготное страхование для близких
* подписка Прайм с возможностью совместного использования на трёх близких
* корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.
Задачи:
— проведение физико-химических испытаний сырья в соответствии с требованиями нормативной документации (USP, Ep. Bp, ГФ);
— оформление лабораторных журналов;
— проведение калибровки оборудования;
— проведение химических и физико-химических исследований промежуточной и готовой продукции лекарственных препаратов согласно нормативной документации;
— анализ и систематизация полученных результатов;
— подготовка оборудования, реактивов и лабораторной посуды;
— участие в валидации аналитических методик.
Требования:
— высшее или среднее специальное химическое образование;
— умение работать в команде;
— знание физико-химических методов анализа;
— уверенный пользователь ПК;
— аккуратность, внимательность, обучаемость.
Условия:
— оформление в соответствии с Трудовым кодексом РФ;
— график работы 5/2 с 8:00 до 16:30.
Задачи:
— Разработка и валидация аналитических методов контроля лекарственных препаратов с использованием ВЭЖХ (ПФ, ОФ, ИХ), ГХ (ПИД, МС), потенциометрического титрования, титрования по Фишеру;
— Проведение физико-химического анализа полупродуктов и готовой продукции;
— Составление и своевременное заполнение рабочей документации;
— Работа с нормативной документацией ГФ РФ, ЕАЭС, USP, EP;
— Обслуживание приборов, замена расходных материалов, составление заявок на приобретение расходных материалов и реактивов.
Требования:
— Высшее образование в области химии или химико-технологическое;
— Опыт работы в аналитической химии не менее 3 лет;
— Знание спектральных методов анализа, титрования, ВЭЖХ, ГХ (желательно);
— Навыки работы с весами 5-го знака и прекурсорами;
— Уверенное владение ПК;
— Аккуратность, внимательность, исполнительность;
— Знание английского языка для чтения технической документации.
Условия:
— Место работы: м. Текстильщики (Технополис Москва);
— График работы: 5/2 с 09:00 до 18:00;
— Официальное оформление согласно ТК РФ;
— Годовые премии по результатам работы;
— ДМС после прохождения испытательного срока (3 месяца).
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As a member of the marketing analytics team, you'll help build the data infrastructure and analytical capabilities needed to drive smarter lifecycle marketing decisions and business impact at OnePay. You'll focus on establishing the measurement and attribution frameworks needed to understand how lifecycle marketing impacts customer behavior, product engagement, and business outcomes. You'll work through an evolving data landscape, connecting customer interactions across marketing and product to uncover insights and identify opportunities to optimize LCM. You'll partner closely with marketing, product, engineering, and data teams to translate data into actionable recommendations and help shape how OnePay measures and optimizes its marketing efforts.
In this role, you will:
- Analyze LCM performance, identify opportunities to optimize individual campaigns and the broader customer journey, and translate findings into actionable insights that drive business impact.
- Develop the data infrastructure, measurement frameworks, and attribution methodologies needed to understand the impact of lifecycle marketing across campaigns, channels, and product interactions.
- Partner cross-functionally with marketing, product, engineering, and data teams to improve measurement capabilities, connect marketing activity to product outcomes, and inform broader business and marketing strategies.
- Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in marketing analytics.
- Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business
YOU BRING
- 3-7 years of professional experience in marketing analytics with experience with lifecycle as a plus.
- Demonstrated track record in marketing analytics, including hands-on experience with attribution models, measurement frameworks, A/B testing, and campaign optimization.
- Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets.
- Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.
- Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.
- An act-like-an-owner mentality. We have a bias toward taking action.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: United States; San Francisco; Canada; New York; Ottawa; Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the founding lead of Agentic Analytics, a new team in our Analytics and Data Insights organization, you'll own how Cohere gets answers from its own data: an agentic analytics system that answers business questions over governed data, shows the source, query, and freshness behind every answer, and asks for clarification or declines when the evidence is insufficient.
Agentic analytics is far from a solved problem, and correctness is the hard part. A query that runs can still answer the wrong question. Agents go wrong when a business term maps to more than one table, when data goes stale, and when the right context never reaches the model. The worst failures are silent and plausible: a join that double-counts, a wrong denominator, missing data read as zero. Getting this right takes governed definitions, context an agent can use, and an evaluation bar that decides what ships.
You'll build on work already in motion: an internal analytics agent in pilot on our BigQuery warehouse, which is fed by tested ingestion pipelines and modeled in dbt. In your first year, you'll take it to production for teams across Cohere, one domain at a time, and make it replicable: each new domain stands up with configuration, a fresh evaluation set, and very little new code.
This is a hands-on staff engineering role reporting to our Senior Director of Data Analytics. You'll write production code and evaluation sets yourself while managing a small founding team that grows as the system proves itself. You may have held the title software engineer, AI engineer, or data scientist; what matters is that you've built a system like this and run it in production.
RESPONSIBILITIES
As the lead of Agentic Analytics, you will:
- Own the system end to end. Set the architecture for how a business question becomes a governed query and a verifiable answer: interpreting the question, retrieving the right context, applying approved definitions and joins, enforcing the asking user's permissions, and attaching the evidence (source, query, freshness) to every answer.
- Build and run it in production. Design the core services and write much of the first version yourself: agent-facing data tools (MCP or equivalent), context retrieval, agent skills for analytics, and the APIs that serve answers. Hold them to production standards for reliability, latency, cost, security, and observability. Put it where people already work: Slack, North, IDEs, and other agents.
- Hold every release to the evaluation bar. Build and run the evaluation harness, and define what correct means in each domain: ground-truth question sets, including held-out cases and questions the agent should clarify or decline; result-level scoring, correct-or-decline rates, coverage, and error severity; and regression tests on every change to context, skills, or models. Nothing ships below the bar, and the call on when a domain is ready for production is yours.
- Engineer the context layer. Turn metric definitions, approved joins, documentation generated from the code that builds each table, a business glossary, and worked examples into context the agent can use. Every correction becomes a reviewed definition and a regression test.
- Roll it out across Cohere. Bring domains such as marketing, revenue, finance, and product onto the system one at a time, each with named owners, certified definitions, and its own evaluation set. Measure adoption, accuracy, turnaround, and correction effort against how those teams work today.
- Make it replicable. Package the tools, skills, context templates, and evaluations, and document them well enough that other teams at Cohere can run the system without you.
- Hire and lead the team. Bring on the team's first engineers, set the technical bar, review the work, and develop the people doing it.
- Partner across Cohere. Work with our data platform team on the warehouse and semantic models, our model evaluation team on evaluation methodology, our security team on access, and each domain's owners on definitions and rollout.
QUALIFICATIONS
You may be a good fit, if you have:
- 10+ years building and operating production analytics or software systems, including technical leadership of a team or of systems that span teams
- Experience shipping LLM agents to production: tool use, MCP or similar, retrieval and context engineering, guardrails, and observability, with firm opinions on where they fail
- Hands-on experience building natural-language or agentic analytics (text-to-SQL, analytics agents, question answering over a semantic layer) that real users relied on, and evidence that it was right
- Depth in evaluating LLM systems: golden sets, result-level comparison, abstention metrics, error taxonomies, and regression testing in CI, plus the judgment to tell a good demo from a system you'd put in front of a CFO
- Strong Python and SQL, and experience designing and running production services and APIs on a major cloud (Google Cloud is a plus)
- Fluency with data: cloud warehouses (BigQuery, Snowflake, or similar), dbt, and semantic layers (MetricFlow, LookML, Cube, or similar). You think in grain, metric definitions, and approved joins, and you can tell when a number is wrong before it reaches a decision
- Experience building identity-aware access for agents, where the agent acts with the asking user's permissions and every query leaves an audit trail
- Experience hiring and developing engineers, with a leadership style grounded in empathy as much as in data
- Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weeds
- Comfort operating in ambiguity, leading through partners you don't manage, and writing design docs and eval reports that settle decisions across teams
If some of the above doesn't line up perfectly with your experience, we still encourage you to apply!
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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Location: Remote (100%) with preference for Mountain or Pacific time zone
Contract Duration: 3 months, with possible extension
Hours: 20-30 hours per week
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ABOUT THE ROLE
Docker is looking for a Sales Compensation Analyst to join our Finance team on a contract basis and support the administrative backbone of our sales compensation program. This is a writing-heavy, detail-oriented role. You'll draft and maintain participation agreements, create clear documentation, and manage SPIFF programs in our compensation system.
If you can turn complex comp plan language into clear, accurate, plain-English documents, and you enjoy the operational side of sales comp, this role is for you.
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WHAT YOU'LL DO
PARTICIPATION AGREEMENTS
- Draft, edit, and finalize sales compensation participation agreements and plan documents
- Make sure plan terms, quotas, payout mechanics, and eligibility language are accurate and consistent
- Manage agreement distribution, tracking, and signature follow-up
- Partner with Legal, HR, and Sales leadership to review and approve language
DOCUMENTATION
- Write and maintain comp plan documentation, process guides, and policy FAQs
- Create step-by-step procedures for recurring comp admin tasks
- Keep documentation current as plans, territories, and policies change
SPIFF ADMINISTRATION
- Set up, configure, and maintain SPIFF programs in the compensation system
- Track eligibility, calculate payouts, and validate results against program rules
- Answer SPIFF questions from sales reps and managers
- Audit program data for accuracy before payouts are finalized
GENERAL SALES COMP SUPPORT
- Help with commission data validation, reconciliation, and dispute resolution
- Support quota, territory, and roster updates in the comp system
- Respond to rep inquiries with clarity and professionalism
- Support monthly commission calculations across multiple compensation plans using SPIFF and Excel
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WHAT YOU BRING
REQUIRED
- 1-2 years of sales compensation experience
- Strong written communication skills, with a proven ability to write clear, precise, professional documents
- High attention to detail and comfort working with plan rules, rates, and payout logic
- Proficiency in Excel or Google Sheets
- Ability to manage multiple deliverables and deadlines independently in a fully remote environment
NICE TO HAVE
- Hands-on SPIFF administration experience
- Experience working in a sales compensation system (for example Xactly, Varicent, CaptivateIQ, Performio, SAP Commissions, or similar)
- Experience drafting or editing participation agreements or comp plan documents
- Familiarity with CRM data (Salesforce) and how it feeds comp calculations
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WHAT SUCCESS LOOKS LIKE
- Participation agreements go out accurate, on time, and with minimal back-and-forth
- Documentation is clear enough that reps and managers can find answers on their own
- SPIFFs are set up correctly and paid without errors or disputes
Задачи: разработка, валидация, улучшение и поддержка ключевых маркетинговых моделей прогнозирования (долгосрочный LTV, выручка, retention); построение и сопровождение надёжных time-based валидаций и backtesting-подходов;
• Мониторинг и анализ событий ИБ с использованием SIEM, EDR и иных средств защиты. • Расследование инцидентов ИБ, эскалация инцидентов в соответствии с установленными процедурами.
Location: Berlin
Workplace: Hybrid
OUR STORY:
Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.
YOUR CHALLENGE
As Financial Analyst, Planning & Reporting Systems, you will build and maintain our planning and reporting models and dashboards, make sure data flows correctly from our source systems, and ensure the numbers the business relies on are accurate and consistent.
Alongside this, you will support core FP&A work such as forecasting, variance analysis and month-end reporting. The role reports to the Senior Director of FP&A and works closely with FinOps, Data and business stakeholders.
YOUR RESPONSIBILITIES
- Build and maintain models in our planning platform, including dimensions, hierarchies and mapping tables, in line with the agreed model design
- Build product P&Ls and product dashboards, and prepare the monthly reviews with commercial product owners
- Monitor data flows from our ERP, HR and other source systems into the planning platform, and resolve issues together with FinOps and Data
- Run monthly reconciliations between the planning platform, the general ledger and reported figures, and document the checks
- Support the transition of planning and reporting workflows into the planning platform, in close collaboration with the FP&A team
- Support FinOps on the interface between planning and consolidation, so management and statutory views reconcile
- Maintain access rights, version control and model documentation
- Support and train budget owners in using the platform for their planning and reporting
- Automate recurring reports and workflows, using AI tools where they remove manual work
- Support core FP&A processes when needed: monthly reporting, forecast updates, variance analysis and management materials
- Deliver ad-hoc analysis on product performance to support commercial decisions
YOUR PROFILE
- 3+ years of experience in FP&A, controlling, finance systems or a similar analytical finance role, ideally in a fast-growing or subscription-based business; alternatively, a background as implementation consultant for Pigment, Anaplan or similar planning tools
- Hands-on experience building models or reports in a modern planning tool (e.g. Pigment, Anaplan, Adaptive); Pigment experience is highly valued
- Solid understanding of financial statements and accounting principles, with hands-on experience in budgeting, forecasting and variance analysis
- Strong Excel skills and working knowledge of SQL; experience with ERP, consolidation or BI tools (e.g. NetSuite, LucaNet, Looker) is a plus
- High attention to detail and care for data quality: you notice when a number does not tie, and you find out why
- Hands-on use of AI in finance work (e.g. LLM assistants, AI features in finance and planning tools), and the curiosity to adopt new tools as they mature
- Clear communicator, able to explain numbers to non-finance stakeholders
- Structured, independent and pragmatic, with a strong sense of ownership
WHY TAXFIX?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- A generous learning budget to support your personal and professional development and guidance from our internal L&D experts.
- Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
- Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible.
- Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
- Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.
Location: Milan
Build with us
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
Your impact
Mollie's Revenue Operations domain gives our commercial organisation the tooling, data and automation to do more with less. As Analytics Engineer I in the Customer Insights team, you'll focus on the analytics and BI side of the products we ship.
You'll build the dbt models behind your own dashboards and turn that data into a clear, ongoing read on adoption, usage and impact. You'll be the person who can tell the team and its stakeholders, with data, whether what we shipped is actually working.
Your numbers will directly shape which BETs get iterated on, doubled down on or cut. You'll work side by side with Application Engineers on tools that Sales and SDRs use every day, at a fast moving moment with the GoCardless integration about to start.
What you'll ship
- Small, regular improvements to existing Customer Insights products, like dbt model fixes, new tests and dashboard fixes, shipped independently.
- Adoption, usage and impact tracking for Customer Insights products, such as Account Book adoption, BigMind usage or HubSpot UI card engagement.
- That tracking built end to end, from the underlying dbt model through to a dashboard that stakeholders actually check.
- Build a standing set of adoption and impact dashboards that the team and its stakeholders use to prioritise what we shipp, and it's analytics and BI deliverables.
What you'll bring
- 1 to 3 years of experience in SQL and working dbt experience. You're comfortable building and maintaining models and tests, not just querying, because you'll own the models feeding your own dashboards.
- Experience with a BI or dashboard tool such as Omni, Looker, Tableau or similar. You know how to display data so it delivers a clear message.
- Data visualisation and data storytelling skills.
- Experience with GTM, Reveneu Operations or Marketing is a big plus.
- Comfort working directly with business stakeholders.
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
AI at Mollie
We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day.
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.
middleМосква
Москва
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УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
ГибридUnited States; San Francisco; Canada; New York; Ottawa; Toronto; Montreal; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
УдалённоUnited States; Location: Remote (100%) with preference for Mountain or Pacific time zone