About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.
About Analytics at LawnStarter
The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts.
The Role
The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed.
Key differentiators of the role:
- First dedicated governance role, reshaping existing standards.
- Owns the data roadmap, discovering business needs and prioritizing work.
- Whole-stack ownership from source data to ML models.
- Leading the migration to Lightdash, setting up permissions and norms.
Responsibilities:
- Develop and manage the data roadmap balancing business needs and platform health.
- Automate monitoring of data quality and freshness, resolve incidents.
- Maintain data lineage and impact analysis to assess downstream effects of changes.
- Administer Lightdash workspace, permissions, and rollout.
- Extend and guard the semantic layer with governed metric definitions.
- Govern Segment event tracking catalog, standards, and drift detection.
- Ensure AI data readiness for internal AI tools querying the warehouse.
- Manage data security, privacy, access controls, and compliance with US state laws.
- Maintain governance documentation, ownership models, and review processes.
Challenges to solve:
- Convert business requests into a prioritized data roadmap.
- Ensure Lightdash migration improves platform usability without dashboard sprawl.
- Complete and maintain a trustworthy semantic layer.
- Manage event-tracking standards and prevent entropy.
- Proactively detect and prevent data pipeline breakages with automation and lineage.
Success metrics for year 1:
- Zero pipeline incidents from unannounced data changes.
- Zero freshness incidents; stakeholders never see stale dashboards.
- All business areas use official, well-maintained metrics and dashboards.
- Every Segment event has an owner and meets standards.
- Governance operates as a documented, sustainable system.
Requirements:
- Passion for data governance as a craft.
- Daily use of AI tools for automation, anomaly triage, and documentation.
- Hands-on manager who codes, debugs, and configures personally.
- Product-minded, able to translate vague requests into prioritized plans.
- Automation-first approach to quality checks.
- Ability to enforce standards with clear rules and good tooling.
Role exclusions:
- Not a large-team leadership role; starts solo with potential to hire one lead.
- Not a policy or committee role; hands-on fixing with code and conversations.
- Not a BI analyst role; focuses on platform and guardrails, not dashboard building.
- Not a mature system babysitting role; involves building and evolving the platform.
Technologies involved:
- Warehouse & pipelines: Redshift, dbt, Airflow
- Ingestion: Fivetran, custom Airflow pipelines
- Event tracking: Segment
- BI tools: Lightdash (primary), Tableau and Metabase (sunsetting)
- AI tooling: Claude Code, Codex, Brain (internal AI toolkit)
- Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection
Benefits:
- Base salary $75k-$120k/year
- Fully remote with asynchronous collaboration
- Flexible PTO
Equal employment opportunity statement included.
Задачи:
— Владение дорожной картой данных: выявление потребностей продукта, маркетинга, операций и финансов в данных, приоритизация задач с учетом состояния платформы и последовательное планирование инвестиций.
— Обеспечение качества и актуальности данных: автоматический мониторинг источников данных, конвейеров и отчетов, выявление изменений в схемах и источниках до возникновения проблем, управление инцидентами.
— Анализ происхождения данных и влияния изменений: создание живой карты от источника до отчетов, оценка влияния изменений на downstream компоненты до их внедрения, внедрение контрактов данных с инженерией.
— Администрирование Lightdash: настройка структуры рабочего пространства, прав доступа, обучение пользователей, поддержание порядка и производительности.
— Управление семантическим слоем: расширение и поддержка единого определения метрик, предотвращение неконтролируемого роста.
— Управление каталогом событий Segment: проверка новых событий на соответствие стандартам, поддержание соответствия с продакшеном, развитие правил и обнаружение отклонений.
— Обеспечение готовности данных для AI: контроль доступа AI-инструментов к данным, поддержание документации, консистентности и безопасности.
— Обеспечение безопасности и конфиденциальности данных: контроль доступа, обработка персональных данных в соответствии с законами штатов США, регулярные проверки.
— Поддержка системы управления: документация, модели владения и циклы обзора для устойчивой работы процессов.
Требования:
— Профессиональное отношение к управлению данными, стремление к поддержанию чистоты и надежности систем.
— Активное использование AI-инструментов для автоматизации проверок, обработки аномалий и документации.
— Практический опыт управления командой и самостоятельной работы с SQL, Airflow, настройкой прав доступа.
— Ориентация на продукт, умение превращать запросы бизнеса в приоритетный план.
— Стремление к автоматизации повторяющихся проверок.
— Умение устанавливать стандарты и добиваться их соблюдения с помощью инструментов и коммуникации.
Условия:
— Базовая зарплата $75,000-$120,000 в год.
— Полностью удаленная работа с асинхронным взаимодействием.
— Гибкий отпуск по результатам работы.
Описание роли:
— Первая позиция, посвященная управлению данными и их качеством в компании.
— Роль с полным владением цепочкой данных от источника до отчетов и моделей машинного обучения.
— Роль с практической деятельностью и последующим расширением команды.
— Не руководящая большая команда, а построение и развитие функции.
— Не роль BI-аналитика или политика, а инженерно-управленческая позиция.
Технологии:
— Хранилище и конвейеры: Redshift, dbt, Airflow.
— Интеграция данных: Fivetran, кастомные Airflow конвейеры.
— Отслеживание событий: Segment.
— BI-платформы: Lightdash (основная), Tableau и Metabase (выводятся).
— AI-инструменты: Claude Code, Codex, Brain (внутренний AI-инструмент).
— Наблюдение: AI-агент для мониторинга свежести, обнаружения аномалий и lineage dbt.
Задачи:
— Владеть полным циклом самообслуживаемого онбординга и жизненного цикла пользователей: in-app потоки, lifecycle email-рассылки и сообщения в продукте, которые переводят новых пользователей от первой сессии к глубоко вовлечённому рабочему пространству.
— Создавать триггерные системы, реагирующие на активность пользователей в реальном времени, с персонализацией каждого касания на основе действий пользователя.
— Использовать AI для генерации контекстного контента в нужный момент: шаблоны рабочих пространств, предлагаемые рабочие процессы, обучение функциям и рекомендации по использованию, основанные на действиях пользователя.
— Управлять таймингом, размещением и частотой in-app и email-интервенций.
— Проводить быстрые эксперименты для выявления факторов, способствующих глубокому использованию, и факторов, вызывающих трения или усталость.
— Владеть процессом конверсии бесплатных рабочих пространств в платные: дизайн и копирайтинг paywall, оптимизация страницы цен, стратегия промоакций, понимание ключевых моментов и поведения, приводящих к покупке.
— Проектировать и запускать эксперименты по конверсии с 3-5-кратной скоростью благодаря AI-системам.
— Определять поведенческие активации, предсказывающие конверсию, и строить онбординг для увеличения их количества.
— Продвигать использование Brain², обеспечивая быстрый и глубокий опыт пользователей с AI-инструментом после регистрации.
— Создавать системы, которые показывают Brain² в нужный момент пользовательского пути, когда AI может помочь.
— Владеть метриками, доказывающими ценность AI-рабочих пространств, и использовать их для улучшения онбординга и жизненного цикла.
Требования:
— 7-10+ лет опыта в продуктовом/гроус-маркетинге с глубоким владением пользовательскими путями после регистрации: онбординг, активация, конверсия и удержание в self-serve SaaS.
— Опыт создания систем жизненного цикла и in-app сообщений с нуля в сложных продуктах с множеством поверхностей.
— Глубокий опыт оптимизации конверсии: paywall, ценообразование, промо-стратегии и эксперименты.
— Владение данными: когортный анализ, метрики активации, воронки конверсии, поведенческая сегментация.
— Опыт работы с AI-системами для увеличения производительности в 3-5 раз.
Условия:
— Удалённая работа (США).
Дополнительно:
— Компания является равноправным работодателем.
— Использует AI и машинное обучение для оценки кандидатов.
— Визовая поддержка ограничена инженерным и продуктовыми ролями и не гарантируется.
— Контакты и коммуникация только через официальные каналы ClickUp.
Задачи:
— Администрировать продуктивные и тестовые кластеры ClickHouse, контролировать состояние шардов, реплик, Distributed-таблиц и ReplicatedMergeTree-таблиц;
— Диагностировать replication queue, merges, mutations, inserts, деградацию запросов и проблемы с дисковой подсистемой;
— Анализировать системные таблицы ClickHouse и состояние кластера;
— Участвовать в изменении топологии кластера: добавление шардов, реплик, серверов, изменение Distributed-таблиц;
— Планировать горизонтальное масштабирование ClickHouse-кластера;
— Оптимизировать схемы данных, партиционирование, ключи сортировки, TTL, индексы, storage policy и настройки сервера;
— Работать с хранением данных: локальные диски, LUN, DAS, hot / warm storage, S3-совместимое хранилище;
— Прорабатывать дедупликацию данных, повышение уровня сжатия и механизм токенизации / full text search по событиям;
— Настраивать и сопровождать ClickHouse Keeper / ZooKeeper;
— Настраивать TLS/SSL для клиентских подключений и межсерверного взаимодействия;
— Разрабатывать и проверять backup/restore и disaster recovery;
— Настраивать мониторинг, алерты и дашборды по ClickHouse;
— Готовить Ansible playbooks / roles, runbook’и, инструкции, чек-листы и технические отчёты.
— Администрировать продуктивные и тестовые инсталляции MariaDB;
— Контролировать состояние серверов, репликации, соединений, транзакций, блокировок и фоновых процессов;
— Настраивать и сопровождать репликацию: master-slave, master-master, GTID-based replication;
— Диагностировать replication lag, ошибки SQL thread / IO thread, рассинхронизацию данных и конфликты при master-master-схемах;
— Участвовать в миграции MariaDB с master-master-репликации на Galera Cluster;
— Настраивать, сопровождать и диагностировать Galera Cluster;
— Прорабатывать HA-архитектуру MariaDB: failover, fencing, VIP / proxy layer, split-brain-риски;
— Разрабатывать и проверять disaster recovery-сценарии, RPO / RTO и восстановимость резервных копий;
— Анализировать производительность: slow queries, EXPLAIN, индексы, locks, deadlocks, buffer pool, connection pool, disk IO;
— Оптимизировать конфигурацию MariaDB с учётом нагрузки, объёма данных, RAM, CPU, дисковой подсистемы и сети;
— Настраивать TLS/SSL для клиентских подключений и репликации;
— Настраивать мониторинг, алерты, дашборды и runbook’и по MariaDB.
— Участвовать в расследовании production-инцидентов, связанных с ClickHouse, MariaDB, Linux, сетью или дисковой подсистемой;
— Анализировать метрики, логи, системные таблицы, состояние репликации, блокировки, диски, сеть и конфигурации;
— Формулировать технические гипотезы, проверять их и отделять первопричину от сопутствующих факторов;
— Готовить технические выводы по итогам инцидентов и участвовать в postmortem-разборах;
— Разворачивать тестовые стенды ClickHouse и MariaDB для проверки архитектурных решений;
— Проверять обновления, изменение топологии, расширение хранилища, storage policy и параметры ClickHouse / MariaDB до применения в production;
— Автоматизировать типовые операции через Ansible / Bash / Python / Terraform или аналогичные инструменты;
— Взаимодействовать с заказчиками, объяснять технические риски понятным языком, предлагать решения и лидировать технические обсуждения.
Требования:
— Практический опыт промышленной эксплуатации ClickHouse;
— Понимание архитектуры ClickHouse: shards, replicas, Distributed tables, ReplicatedMergeTree, MergeTree family;
— Опыт диагностики replication queue, merges, mutations, insert/select latency, деградации запросов и проблем с дисковой подсистемой;
— Понимание партиционирования, ключей сортировки, TTL, storage policies, disks, volumes, data skipping indexes;
— Опыт изменения топологии ClickHouse-кластера или глубокое понимание порядка и рисков таких изменений;
— Опыт настройки TLS/SSL для ClickHouse;
— Опыт эксплуатации MariaDB в продуктивной или близкой к продуктивной среде;
— Понимание MariaDB, InnoDB, транзакций, индексов, блокировок, deadlocks, isolation levels;
— Опыт настройки и диагностики репликации MariaDB;
— Понимание GTID, binary logs, relay logs, replication lag, failover и рисков master-master-репликации;
— Опыт настройки backup/restore MariaDB и проверки восстановимости резервных копий;
— Опыт диагностики производительности MariaDB: slow query log, EXPLAIN, индексы, locks, buffer pool, disk IO;
— Опыт эксплуатации Linux-серверов;
— Понимание влияния CPU, RAM, disk IO, network и filesystem на работу ClickHouse и MariaDB;
— Опыт настройки мониторинга и алертов для ClickHouse, MariaDB и инфраструктуры;
— Опыт работы с Prometheus, Grafana, Zabbix или аналогичными системами мониторинга;
— Опыт автоматизации через Ansible, Bash, Python или аналогичные инструменты;
— Умение аккуратно проводить изменения в production: план работ, оценка рисков, rollback-план, проверка результата;
— Умение писать техническую документацию: инструкции, runbook’и, чек-листы, postmortem-отчёты.
Желательные требования:
— Опыт или уверенное понимание Galera Cluster;
— Опыт эксплуатации ClickHouse и MariaDB в составе SIEM, SOC, log management, observability, telemetry или других высоконагруженных систем;
— Опыт работы с большими объёмами данных: десятки или сотни ТБ;
— Опыт работы с ClickHouse Keeper или ZooKeeper;
— Опыт эксплуатации ClickHouse / MariaDB на bare metal;
— Опыт работы с LUN, DAS, локальными дисковыми массивами и S3-совместимыми объектными хранилищами;
— Опыт нагрузочного тестирования ClickHouse и MariaDB;
— Опыт построения процедур disaster recovery;
— Опыт подготовки архитектурных и эксплуатационных документов для заказчиков;
— Опыт работы с ProxySQL, MaxScale, HAProxy, Keepalived, Pacemaker / Corosync или аналогичными решениями;
— Опыт проведения регламентных работ с минимальным downtime;
— Опыт аудита продуктивных инсталляций у заказчиков.
Условия:
— Постоянная занятость;
— Работа с продуктивной, тестовой и лабораторной инфраструктурой;
— Взаимодействие с командой эксплуатации, инженерами SIEM, разработчиками, архитекторами и техническими представителями заказчика;
— Участие в планировании изменений, разборе инцидентов и развитии архитектуры хранения данных.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE:
The Solutions Engineering team at Sentry is responsible for helping our largest customers successfully embed Sentry into their applications and workflows, from integrating our SDK to making sure alerts and issues make it to the right place at the right time. Solutions Engineers will be interfacing with customers to ensure optimal implementation and utilization ensuring that:
- Developers can effectively identify and resolve slowdowns and errors in their applications.
- Development teams increase developer productivity and customer satisfaction.
IN THIS ROLE YOU WILL
- Understand customers' pain points and objectives and translate those into implementation and onboarding plans to meet those objectives and demonstrate business value.
- Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: “how-to” articles and/or videos on specific functionality of the product).
- Act as a trusted advisor and subject-matter expert for customers to assist with instrumenting software engineering and monitoring best practices
- Provide workshop-level interaction to customers in order to drive the maturity of use and broader adoption.
- Work cross-functionally (internally) to provide feedback to the product and development teams and align Sentry's product roadmap with improving time to value-delivered.
YOU’LL LOVE THIS JOB IF YOU
- Enjoy talking about technology and interfacing with engineers and engineering leaders.
- Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries.
- Love flexing your creative brain by developing solutions, resources, and content from scratch (scripts, code samples, demos, sales-consumable collateral/documents, etc.).
- Have a fast-paced, results-driven mindset.
- Love developer tools, open-source, and/or all things software development life cycle!
QUALIFICATIONS
- 8+ years of experience, with some mixture being Software Engineering and Solutions Engineering/ImplementationB
- Hands-on experience working with programming languages and frameworks including JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, React Native, Mobile Native (iOS and/or Android), etc.
- Possess excellent communication and presentation skills.
- Problem solver, knowledgable, and can-doer
The salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $200,000 to $240,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
About our Machine Learning Business Banking team:
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.
What you'll be working on
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll:
— Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
— Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
— Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
— Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
— Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
— Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
— Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
— Set technical standards, mentor others, and support experimentation and iteration.
You should apply if:
— What we’re doing here at Monzo excites you!
— You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
— You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
— You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
— You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
— You speak Python fluently and have extensive, hands-on experience with scikit-learn.
— You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
— You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
— You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
— You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
— You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
— You’re adaptable, curious and enjoy learning new technologies and ideas.
— You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
— You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
— You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves:
— Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
— Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
— Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
— Commercial experience writing critical production code and working with microservices.
— Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
— Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
— 30 minute recruiter call
— 45 minute call with hiring manager
— Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
What’s in it for you:
— We can help you relocate to the UK
— We can sponsor visas
— This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
— We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
— Learning budget of £1,000 a year for training courses and conferences
— And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Location: Amsterdam, Netherlands
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry's European Sales Engineering team is an established and growing team, expanding to keep pace with rising demand across the region. As a member of the team, you will be a crucial lever in helping our customers realize value from Sentry products. From providing technical demonstrations to advising customers on implementation best practices, you're all-in to make the customer wildly successful.
IN THIS ROLE YOU WILL
You'll partner closely with Sales, Customer Success, and Product to guide customers from first technical touchpoint through to long-term adoption. Day to day, that looks like:
- Bring technical expertise to customer demos, trials, implementations, and tickets
- Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: "how-to" articles and/or videos on specific functionality of the product)
- Provide workshop-level interaction to customers in order to drive maturity of use and broader adoption
- Work across the organization with marketing, engineering, customer success, support and product teams to represent the customer's voice and drive improvements in the product
- Attend conferences on occasion, speaking with prospects that visit our booth
YOU'LL LOVE THIS JOB IF YOU
- Enjoy talking about technology and interfacing with engineers and engineering leaders
- Appreciate working on a variety of projects with customers from lots of different industries
- Love flexing your creative brain by developing resources and content from scratch (code samples, demos, sales-consumable collateral/documents, etc.)
- Like being "in the middle of it all," working across the organization to move the product forward
- Love developer tools, open-source, and/or all things software development life cycle
QUALIFICATIONS
- 3+ years as a Sales Engineer (preferred), Implementation Consultant, Support Engineer, or Software Developer with experience leading projects, presenting solutions, and/or working with customers
- Hands-on experience working with programming languages including JavaScript, Java, Swift/Cocoa, Python, Go, .NET, Ruby, Node.js, PHP, etc.
- Understanding of sales processes in a high transaction sales environment
- Experience selling and working with pure SaaS solutions (experience selling/implementing infrastructure tools is a plus) and proven track record of success driving revenue through technical interactions with prospects
- Excellent communication and presentation skills
- Experience with performance monitoring, Open Telemetry and code instrumentation desired but not required
- Experience developing mobile apps with native (iOS, Android) or multi-platform (React Native, Flutter) is a plus
- BS Degree in Engineering (preferably Computer Science/Engineering) is a plus
The base salary range that Sentry reasonably expects to pay for this position is €91,000 to €124,000 + a 80/20 variable. This is a multi-level role and compensation will be determined based on experience and leveling. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, CA or Remote, US
Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems.
As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business.
What You’ll Do
Conduct in-depth analysis to shape product PLG motion and B2B strategy.
Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights.
Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently.
Improve execution rigor of product teams by owning success metrics and opportunity sizing.
Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios.
Evolve experimentation culture and practices within the company.
What You Bring
5–8 years of experience in a Data Scientist or similar role.
3+ years working in a growth function.
Strong business and product intuition to identify opportunities in the growth ecosystem.
Strong knowledge of statistical analysis and A/B tests.
Strong SQL skills and proficient in at least one programming language such as Python or R.
Excellent communication and collaboration skills.
Curiosity, savviness to navigate in a dynamic environment, and a growth mindset.
Having worked at a fast-growing start-up is a plus.
The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.
About Descript
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (
OpenAI
,
Andreessen Horowitz
,
Redpoint Ventures
,
Spark Capital
).
Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company.
Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time.
Our headquarters
are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.
Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.
Задачи:
— Проектировать, разворачивать и обслуживать распределённую сеть передачи данных;
— Настраивать серверы и сетевое оборудование на уровне L2/L3;
— Оптимизировать сетевой стек Linux;
— Строить систему мониторинга и наблюдаемости сети;
— Автоматизировать провижининг и конфигурационный менеджмент;
— Участвовать в проектировании архитектуры ключевых сервисов.
Требования:
— Глубокий опыт работы с BGP (iBGP / eBGP / MP-BGP);
— Практика настройки в FRRouting, GoBGP, Bird;
— Опыт реализации EVPN/VXLAN и WireGuard-топологий в продакшене;
— Уверенность в диагностике проблем от сервера до магистрального провайдера;
— Настройка и тюнинг сети в Linux (производительность, low latency);
— Понимание сегментации, iptables/nftables/ferm;
— Автоматизация через Ansible.
Будет отличным бонусом:
— Опыт с Docker, Nomad, Kubernetes;
— Мониторинг: Zabbix, VictoriaMetrics, Grafana, Alertmanager, LibreNMS;
— Работа с публичными облачными провайдерами (AWS/OVH/Hetzner/GCP/Alibaba) или с приватной инфраструктурой;
— Знание OSPF, PIM;
— Remote VPN (OpenVPN, SSL-VPN);
— Опыт с Cisco Nexus.
Условия:
— Релокация в Испанию (Бильбао) для вас и семьи — полная поддержка с документами, адаптацией, жильём и учетом питомцев;
— Гибкий график без контроля присутствия;
— Отпуск, когда необходимо, а не по расписанию;
— Среда, где ценят инженеров и дают принимать решения.
Задачи:
— Администрирование и оптимизация PostgreSQL, ClickHouse, включая управление производительностью, мониторинг, поддержку и оптимизацию механизмов бэкапирования, обеспечение стабильной работы под высокой нагрузкой, настройку мониторингов и алертинга.
— Управление оборудованием и инфраструктурой.
— Взаимодействие с продуктовой и инженерной командами по вопросам проектирования и оптимизации структур данных, выявления инцидентов и их оперативного устранения.
— Автоматизация развертываний, резервного копирования, переноса данных и других рутинных операций.
Требования:
— Глубокие знания PostgreSQL и ClickHouse, включая опыт работы с высоконагруженными базами данных, установку, настройку, администрирование и миграцию серверов БД.
— Опыт работы с pgbouncer, HAProxy.
— Оптимизацию производительности и конфигурации для высоконагруженных сред.
— Настройку аутентификации и авторизации.
— Понимание различных подходов, архитектур и решений для построения отказоустойчивых и высокопроизводительных кластеров ClickHouse.
— Опыт интеграции ClickHouse по обмену данными с Kafka.
— Опыт конфигурации настройки кластеров Kafka.
— Опыт резервного копирования и восстановления данных.
— Проектирование и настройка мониторинга баз данных и инфраструктуры с использованием Grafana, Prometheus, OpenSearch.
— Опыт работы с системами управления конфигурациями, например Ansible.
— Написание скриптов (Bash, Python или других языков) для автоматизации рутинных задач.
— Опыт работы с системами контроля версий (например, Git), понимание процессов CI/CD.
Будет плюсом:
— Опыт развертывания, настройки и администрирования систем логирования (например, Elasticsearch/OpenSearch).
— Опыт руководства командой из 2–3 инженеров.
Условия:
— Гибкий график.
— Релокация в Бильбао для вас и семьи (оформление документов, помощь с переездом, адаптацией и питомцами).
— Отпуск без жёстких ограничений.
— Атмосфера доверия и уважения к профессионалам.
— Комфортный офис в уютном районе и регулярные активности для команды.
— Среда для роста: участие в архитектурных решениях, сложные задачи и сильные коллеги.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE:
The Solutions Engineering team at Sentry is responsible for helping our largest customers successfully embed Sentry into their applications and workflows, from integrating our SDK to making sure alerts and issues make it to the right place at the right time. Solutions Engineers will be interfacing with customers to ensure optimal implementation and utilization ensuring that:
- Developers can effectively identify and resolve slowdowns and errors in their applications.
- Development teams increase developer productivity and customer satisfaction.
IN THIS ROLE YOU WILL
- Understand customers' pain points and objectives and translate those into implementation and onboarding plans to meet those objectives and demonstrate business value.
- Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: “how-to” articles and/or videos on specific functionality of the product).
- Act as a trusted advisor and subject-matter expert for customers to assist with instrumenting software engineering and monitoring best practices
- Provide workshop-level interaction to customers in order to drive the maturity of use and broader adoption.
- Work cross-functionally (internally) to provide feedback to the product and development teams and align Sentry's product roadmap with improving time to value-delivered.
YOU’LL LOVE THIS JOB IF YOU
- Enjoy talking about technology and interfacing with engineers and engineering leaders.
- Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries.
- Love flexing your creative brain by developing solutions, resources, and content from scratch (scripts, code samples, demos, sales-consumable collateral/documents, etc.).
- Have a fast-paced, results-driven mindset.
- Love developer tools, open-source, and/or all things software development life cycle!
QUALIFICATIONS
- 3+ years as a Solutions Engineer (preferred), Implementation Consultant, Support Engineer, or Software Developer with experience leading projects and/or working with customers.
- Please note- we're hiring a variety of levels so if you are interested but have less or more experience- please still apply!
- Hands-on experience working with programming languages and frameworks including JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, React Native, Mobile Native (iOS and/or Android), etc.
- Possess excellent communication and presentation skills.
- Problem solver, knowledgable, and can-doer
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $140,000 to $190,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Remote
At
Automattic
, we have the power to create opportunities for people in every corner of the earth. We offer flexible, challenging, and rewarding careers with true impact and scale. You could be on the outskirts of a jungle, living a nomadic life out of a van, in a major city or a small town that doesn’t have a central business district—as long as you have an active Wi-Fi connection, you can be an Automattician.
We’re seeking experienced Technical Account Managers to join our
Newspack
team—individuals who combine strategic thinking with hands-on execution, thrive on complexity, and believe in the power of collaborative problem solving.
This role requires someone who can think strategically and work independently while thriving in a highly collaborative team environment. You'll balance technical problem solving with relationship management, applying broad experience across multiple areas rather than deep expertise in just one. The Newspack platform and its applications are vast and continuously evolving—there's no way any one person can hold it all in their brain, which makes our team's collaborative approach essential to success.
This is a blended role that combines migration project management with ongoing publisher support. You'll typically manage multiple concurrent migration projects while also contributing to our shared support responsibilities, helping publishers optimize their use of Newspack post-launch. This balance ensures that you stay connected to both the launch experience and the long-term publisher relationship, providing you with insight into the full publisher lifecycle.
The role requires flexibility and strong organizational skills to shift context between project work and support work—between heads-down, independent tasks and collaborative team problem solving. If you thrive on variety and can maintain momentum across different types of work, you'll find this structure engaging and rewarding.
As a Newspack Technical Account Manager, You Will:
Manage publisher migrations from alignment through launch, owning timelines and coordinating a variety of stakeholders across technical and business requirements. You’ll proactively navigate obstacles, make strategic decisions about scope and priorities, and ensure successful outcomes even when facing unexpected challenges. Your project management will strike a balance between thoroughness and momentum, keeping complex initiatives moving forward while maintaining quality and meeting deadlines.
Develop close relationships with news publishers by understanding their business goals, operational needs, and technical challenges. You’ll troubleshoot technical and editor-facing issues as they arise, help publishers leverage and optimize Newspack's features, set realistic expectations that align with our scope of support, and proactively identify opportunities to drive customer success.
Maintain a deep and current knowledge of the Newspack platform, WordPress functionality, and the news publishing landscape. You’ll provide top-notch guidance to publishers, identify product improvement opportunities based on publisher needs, surface bugs and feature requests, and collaborate with engineering to resolve issues. Your closeness to publishers will make you a valuable voice in shaping the product’s evolution.
Work independently using existing resources to solve problems efficiently, while actively engaging with the team to share learnings, contribute to discussions, and drive continuous improvement. You’ll participate in our highly collaborative team culture: sharing unique solutions, seeking input on complex challenges, and contributing to the collective knowledge that helps all of us serve publishers better. This balance between autonomy and collaboration is crucial to our work approach.
Develop and refine project management, time management, and communication systems to work more effectively and efficiently. You’ll document solutions, identify patterns across projects that could inform process improvements, and contribute insights from your work to enhance our workflows, product features, and publisher success strategies.
In this role, success means:
Meeting launch timelines while maintaining quality and managing scope effectively.
Building strong publisher relationships that lead to successful long-term partnerships.
Responding to publisher needs and providing timely, effective support.
Thinking strategically about both individual projects and broader process improvements.
Collaborating openly with the team, sharing knowledge, and continuously learning.
Maintaining product expertise and contributing insights that improve Newspack for all publishers.
About you:
Solid working knowledge of
WordPress
core functionality, common plugins, and the WordPress ecosystem. (You don’t need to be a developer, but you should be comfortable troubleshooting WordPress sites and understanding how things work under the hood.)
Background in client services, account management, or technical support, where you’ve managed relationships and solved problems directly with customers.
Demonstrated ability to manage complex projects with multiple stakeholders, competing priorities, and dependencies—proactively, not just reactively.
Comfort with technical troubleshooting, investigating root causes, and finding creative solutions within constraints.
Clear, professional written and verbal communication skills; ability to explain technical concepts to non-technical audiences and set appropriate expectations.
Benefits
Open vacation policy (no set number of days per year). We encourage all employees to take the time they need for vacation, to pursue their own interests, to stay healthy, and to spend time with friends and family.
Home office setup and coworking allowances. Working from a coffee shop? You can use your coworking allowance for the requisite latte!
We happily provide or reimburse the hardware and software you’ll need, as well as books or conferences that promote continued learning.
Company-sponsored life insurance.
Open parental leave (includes maternity, paternity, and adoption). If you’ve been with Automattic for 12 months, your leave is fully paid.
A spiffy set of wireless headphones at your seven-year anniversary.
Paid two to three-month sabbaticals encouraged every five years.
We cover all costs of company travel, so dust off that passport! Your team will get together one to three times per year in locations around the globe. Other benefits are country-specific and include health, vision, and dental insurance; matching retirement/pension contributions; childcare vouchers; income protection; travel insurance; and discount offers.
Salary range: $73,000-$130,000 USD
Please note that salary ranges are global, regardless of location, and we pay in local currency.
We’re only considering candidates based in North America at this time.
We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.
This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our
compensation philosophy
. To see a full list of benefits by country, consult our
Benefits Page
. And check out these links to learn more about
How We Hire
and
What We Expect from Ourselves
.
#LI-DNI
About Automattic
Now in
our 20th year
, we’re the people behind
WordPress.com
,
WooCommerce
,
Beeper
,
Tumblr
,
Simplenote
,
Jetpack
,
Longreads
,
Day One
,
PocketCasts
, and more. We believe in making the web a better place.
We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world.
We believe in Open Source
, and the vast majority of our work is available under the
GPL
. Automattic is a
Most Loved Company
, an Equal Opportunity employer, and
Disability Confident Committed
. (
Here’s what that might mean for you
.) If you need accommodations during the application or interview process, please
fill out this form
. We are committed to ensuring an accessible hiring process for all candidates. Learn more about our
Employee Resource Groups
.
You can track your application status and more at
MyGreenhouse
.
To learn about how we handle your data, please review our
Job Applicant & Candidate Privacy Notice
and our
Privacy Policy
.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster
here
. Automattic participates in the
E-Verify program
in certain locations, as required by law
.
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