Требуется специалист с хорошим знанием Python (Pandas, Numpy, MatPlotLib и другие аналитические библиотеки), отличным знанием SQL (Postgre с умением написания оконных функций), опытом построения отчетности (PowerBI предпочтительно), уверенным знанием Excel (ВПР, Сводные таблицы и пр.). Опыт работы в антифрод-аналитике или риск-менеджменте является преимуществом. Понимание алгоритмов ML также является плюсом.
Задачи:
— разрабатывать и выгружать обязательную отчетность для Центрального Банка РФ;
— подготавливать аналитические отчеты и дашборды для смежных подразделений компании;
— участвовать в модернизации и настройке систем мониторинга транзакций (антифрод-систем).
Компания ООО «Блокчейн Хаб» (часть экосистемы МТС) разрабатывает финтех-продукты на базе блокчейн-технологий. В поиске старшего разработчика C# в кросс-функциональную команду разработки платформы ЦФА Хаб — платформы для выпуска и обращения цифровых финансовых активов, объединяющей эмитентов и инвесторов.
Задачи:
— анализировать требования к программному обеспечению
— разрабатывать технические спецификации на программные компоненты и их взаимодействие
— проектировать и разрабатывать функциональности программных приложений и интеграционных сервисов
— воспроизводить и исправлять ошибки в коде
Требования:
— экспертное знание .NET Core / C#
— опыт коммерческой backend разработки от 5 лет
— опыт в разработке веб приложений asp.net webapi/mvc
— опыт работы с очередями
— опыт работы с ORM (EFCore)
— понимание DI и IoC
— уверенная работа с Postgres и/или MSSQL
— знание принципов построения и опыт разработки сервисов (rest, soap)
— опыт написания Unit-тестов
Будет плюсом:
— опыт работы с RabbitMQ / Kafka
— понимание принципов микросервисной архитектуры и умение применять эти знания на практике для проектирования микросервисов
— опыт работы в распределенных командах и знание Agile-методологий (Scrum, Kanban, XP и др.)
Компания МТС Банк ищет специалиста на позицию ML/DevOps Engineer в Москве.
Задачи:
— деплоить и интегрировать модели, сопутствующие сервисы и инструменты, автоматизировать поставку и оптимизировать потребление ресурсов
— мониторить и поддерживать работоспособность
— обеспечивать соответствие политикам информационной безопасности и стандартам надёжности при развёртывании ML‑решений
Требования:
— уверенное администрирование Linux, понимание сетевых протоколов и потенциальных точек отказа
— опыт конфигурации и распределения мощностей видеокарт для обучения и инференса моделей
— опыт настройки мониторинга инфраструктуры и метрик деградации моделей
— опыт работы с vllm, Triton Inference Server, FastAPI, KServe или TorchServe
— опыт построения сложных многоэтапных пайплайнов с упором на безопасность
Технологический стек включает Docker, Linux, Kubernetes, Bash, GitLab CI, Ansible, Terraform, Airflow, Python, vllm, cuda, triton, Prometheus/Victoria Metrics, Grafana, SQL, Postgres, Elasticsearch, MLflow, Qdrant, Nexus, Vault.
Москва
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Задачи:
— Проектировать и строить backend-системы, которые являются чистыми, тестируемыми и эффективными.
— Архитектурно создавать масштабируемые API и инфраструктуру, способную обрабатывать высоконадежные и высоконагруженные требования.
— Вносить сильные мнения по тестированию, качеству и долгосрочной поддерживаемости в каждый проект.
— Решать сложные продуктовые задачи, глубоко анализируя потребности пользователей и поведение системы.
— Формировать инженерные практики и техническую культуру через сотрудничество и практическое лидерство.
Требования:
— Опыт работы backend-инженером от 5 до 7+ лет, предпочтительно 7+ лет.
— Владение как минимум одним backend-языком, таким как Node.js/TypeScript, Python, Go или Java; опыт с Node.js и TypeScript является большим плюсом.
— Опыт проектирования и архитектуры масштабируемой backend-инфраструктуры для высоконадежных или регулируемых сред, таких как финтех, платежи или идентификация.
— Опыт работы с реляционными базами данных (Postgres или MySQL).
— Опыт работы с очередями сообщений или событийно-ориентированными архитектурами (RabbitMQ, Kafka или аналогичные); знание паттернов Event Sourcing будет плюсом.
— Опыт развертывания и управления приложениями в контейнеризированных или облачных средах (Kubernetes, AWS или аналогичные).
— Сильное системное мышление, способность рассуждать о долгосрочных архитектурных последствиях, а не только о отдельных функциях.
— Умение ясно коммуницировать, разбирать сложность и тесно сотрудничать с командой.
— Комфорт в работе в условиях неопределенности и на ранних этапах развития, где практики активно формируются.
— Обязательное проживание в европейском часовом поясе.
Условия:
— Полностью удаленная работа с обязательным нахождением в европейском часовом поясе.
— Команда собирается лично периодически в течение года.
— Базовая годовая зарплата от 116000 до 146000 евро, без индивидуальных переговоров по зарплате.
— Визовая поддержка не предоставляется.
Location: Vienna, Austria
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 SDKs instrument dozens of platforms and our ingest pipeline takes in billions of events every day. The Telemetry Experience team owns what happens next: the product surfaces and APIs where that telemetry turns into something a developer can actually debug with.
As a Senior Software Engineer on Telemetry Experience, you'll own that experience across the sentry.io http://sentry.io product - Python/Django and Postgres on the backend, React and TypeScript on the frontend. You'll work upstream with our SDK teams on what gets sent and with our ingest teams on how it arrives, then own the part customers actually touch: the APIs, the workflows, and the interfaces where it all lands. Your job is to make that feel native to every developer who uses it, whether they ship a backend service, a mobile app, or a game.
IN THIS ROLE YOU WILL
- Own projects end to end. Take a problem from a rough customer complaint through scoping, design, implementation across the stack, rollout, and measurement. You'll write the design doc, cut the work into shippable pieces, and stay with it until the numbers move
- Work across the full stack of the Sentry monolith. React and TypeScript in the browser, Django and Postgres behind the API. Most projects here touch both, and the interesting decisions live at the seam
- Partner closely with SDK and ingest teams. Telemetry arrives exactly as the SDKs send it and as the pipeline shapes it. You'll shape those contracts together with the engineers who own them, rather than working around what shows up
- Collaborate daily with product managers, designers, and other product engineers. You'll bring the technical perspective that makes a design better, explain constraints in terms of what they cost the user, and sweat the details other people skip: empty states, error messages, loading behavior, the edge case that only bites 2% of accounts
YOU’LL LOVE THIS JOB IF YOU
- You'd rather own an outcome than a ticket. You take ambiguous problems, decide what to build, drive it across team boundaries, and follow through after launch. Nobody has to hand you a spec
- You're obsessed with making an experience smooth. Friction offends you. You notice the extra click, the confusing label, the query that takes 400ms too long - and you fix them instead of filing them
- You solve problems for customers, not for the codebase. Sentry's users are developers, so you can read their bug reports, sit in their tooling, and tell the difference between what they asked for and what they need
- You communicate well in writing. Working across SDK teams, ingest teams, product, and design in a distributed company means your docs, PR descriptions, and updates do a lot of the work
- You like being full-stack. You don't need a handoff to change an API and the component that calls it, and you enjoy holding the whole path from event payload to rendered pixel in your head
QUALIFICATIONS
- 5+ years of professional experience building and shipping full-stack web applications
- Strong experience with React and TypeScript, and with Python (Django or similar) backed by a relational database such as PostgreSQL - depth in one side and real competence in the other is fine
- A track record of driving non-trivial projects end to end, including the parts that require getting other teams to agree with you
- Excellent written and spoken English communication skills
- Experience leveraging AI-powered development tools to enhance productivity and code quality
BONUS POINTS
- Familiarity with the application monitoring and observability space
- Experience building developer-facing products, SDKs, or public APIs
- Experience with high-volume data stores or streaming systems (ClickHouse, Kafka)
- A track record of contributing to open-source projects
We are obliged by law to quote the minimum wage of EUR 60,844,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The salary that Sentry offers you is adjusted to the current market situation and will be above the IT-KV.
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/.
The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling.
Responsibilities:
— Design and implement RESTful APIs using Python frameworks (FastAPI, Django, Tornado)
— Build and maintain data pipelines and backend services for analytics workloads
— Design and optimize database schemas across relational, NoSQL, and cloud data stores
— Work with structured and unstructured data across Snowflake, Postgres, S3, and MongoDB
— Collaborate closely with quantitative researchers, frontend engineers, and business stakeholders
— Contribute to system design and architecture decisions — scalability, reliability, security
— Monitor and troubleshoot production systems using observability tooling
Requirements:
— 9+ years of backend development experience
— Strong Python proficiency — the team's primary language
— Solid hands-on experience with Postgres, Snowflake, MongoDB, and S3
— Strong grasp of data modeling (ER design) and system design principles
— Interest in AI-assisted development and modern developer tooling
— Experience building and shipping production-grade REST APIs
We offer:
— Flexible work setup: remote model (Poland, Serbia, Georgia, Spain, Portugal, Armenia) or hybrid if desired (Poland)
— Health insurance coverage for those based in Poland
— 50% coverage of health insurance for spouses and children in Poland
— 24 days of paid vacation
— 10 days of paid sick leave
— 50% reimbursement for professional training, education, conferences
— Work alongside a highly professional team
— Engaging teambuilding events and activities
Location: Boston, MA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.
WHAT YOU'LL DO
- Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability
- Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence
- Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform
- Partner with product and design teams to define scope, sequence, and success criteria for key initiatives
- Maintain a high bar for technical excellence while making sure the team moves with urgency and focus
- Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript
- Engage directly with customers to understand their needs and translate them into actionable product improvements
WHAT YOU'LL BRING
- Experience managing or tech-leading teams delivering complex full-stack products
- Strong technical background in Go/Python and React/Typescript
- Solid understanding of databases (Postgres, Redis and ClickHouse)
- Proven ability to design high throughput data-intensive systems
- Bias towards shipping quickly and learning from customers
- Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers
- Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms
Annual salary range: $220,000- $270,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Задачи:
— тестировать функционал бэкенда и UI в проекте по развитию масштабной аналитической системы финансового моделирования и анализа по крупным корпоративным клиентам Банка на базе .NET, Postgre с использованием ML-технологий
— при желании научиться разработке новых и поддержке существующих автотестов (Web UI, API, DB) на языке Python
Требования:
— знание теории тестирования, техник тест-дизайна и умение применять их на практике
— знание и опыт ведения тестовой документации (тест-кейсы, тест-планы)
— понимание архитектуры web-приложений
— навык написания SQL запросов средней сложности (join, подзапросы, группировки и др.)
— опыт оценки покрытия тестами функциональностей системы
— умение доставать и читать логи
— опыт тестирования систем, построенных на событийной модели (Kafka)
Будет плюсом:
— опыт работы с AI-инструментами (знакомство с spec-driven development)
— знание Python
— опыт разработки тестов с применением pytest (как бэкенд (API), так и фронтенд (UI))
— понимание принципов интеграции автотестов в CI/CD (Jenkins или аналоги)
— умение составлять и настраивать заглушки/моки
Для реализации задач понадобится владение:
— навыками работы с баг-трекинговыми системами
— опытом работы с Git, понимание git-flow
— навыками работы с системами BitBucket, Confluence
— знакомство с AllureTestOps
— опытом работы с ELK/PVS/Grafana
— навыками работы с DevTools, Insomnia (Postman), DBeaver
Условия:
— комфортный современный офис рядом с м. Кутузовская
— формат работы гибридный (3 дня в офисе, 2 дня удаленно)
— оформление на декретную ставку
— ежегодный пересмотр зарплаты и годовая премия
— корпоративный спортзал и зоны отдыха
— более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
— программа адаптации и помощь руководителя на старте
— расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
— гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
— подписка Прайм с возможностью совместного использования на трёх близких
— вознаграждение за рекомендацию друзей в команду Сбера.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.
About the Role
We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.
Location: In person 5 days/week in San Francisco, CA or New York, NY
What You'll Do
- Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)
- Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
- Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
- Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
- Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
- Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
- Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests
Example projects you might own
- A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
- A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
- A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake
What You'll Bring
- 3+ years of experience as a software engineer or infrastructure engineer
- Strong hands-on experience with Python and testing frameworks such as pytest
- Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
- Solid understanding of API testing, mocking/stubbing, and data setup/teardown
- Comfort defining quality standards, writing test plans, and driving cross-team execution
Nice to Have
- Experience with load and performance testing tools such as k6
- Familiarity with observability tooling such as Datadog or OpenTelemetry
- Experience testing services running on Kubernetes and containerized environments
- Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
- SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
- Familiarity with Go, Node, or React for targeted white-box tests and improving system testability
Compensation
- Annual salary range: $165,000- $250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The
Code Understanding
team owns the surfaces where that intelligence meets the developer:
Deep Search
, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases,
Query Assist
, turning natural language queries into Sourcegraph query syntax,
Smart Hovers
, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
Most of what makes those surfaces tick is
agent engineering
: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the
staff ML and agent engineer on Code Understanding
, you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
This is a
staff-level role
: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
Concretely, you'll own work like:
Agentic systems.
You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale.
Pragmatic use of evaluations.
Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence.
Models: selection, upgrading, and training.
You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Retrieval and context engineering.
You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable.
Cost and latency.
Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably.
You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
📅 Within one month, you will…
Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval.
Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them.
Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next.
Join the team's on-call support rotation.
📅 Within three months, you will…
Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement.
Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them.
Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts.
📅 Within six months, you will…
Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions.
Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before.
Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them.
About you
You are a
staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems
. This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
You have personally owned a production model lifecycle.
You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version.
You build agents, fluently and opinionatedly.
You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required.
You have strong evaluation judgment.
You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading.
You treat cost and latency as product constraints.
You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model.
You operate autonomously on ambiguous problems.
Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end.
You contribute beyond your domain.
As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives.
You up-level the people around you.
You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job.
You're customer and product-driven.
You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray.
You're pragmatic, not a perfectionist.
You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity.
On the engineering fundamentals:
You're a strong software engineer who can ship production services.
You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there.
You're fluent with agentic coding tools, and you understand and own every line it submits.
You're comfortable in an async-first, multi-service, fast-paced remote environment.
Nice-to-haves:
You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently.
You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production.
Experience with retrieval, ranking, embeddings, or search relevance.
Experience working directly with enterprise customers and translating their needs into a product.
Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰
The starting salary for the IC4 pay band in each zone is:
Zone 2: $176,000 USD
Zone 3: $132,000 USD
Zone 4: $88,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Resume Deep Dive
[60m]
System Design
[60m]
Harden a Code Research Agent Interview
[60m]
Cross-functional team collaboration
/
Values
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: United States; Canada
Workplace: Remote
As a Senior Software Engineer at Coder, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments.
You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.
What you’ll do here
- Design and build production systems in Go, with work across React and TypeScript where needed.
- Improve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Build reliable integrations between agents, workspaces, tools, and developer infrastructure.
- Own projects from implementation through rollout and iteration.
- Contribute to design reviews, code reviews, and technical discussions.
- Partner with Product and Design to turn agent capabilities into useful developer experiences.
- Improve the reliability, performance, and operability of agentic systems.
What we’re looking for
- Strong experience building and operating production software systems.
- Hands-on experience with Go.
- Experience with React and TypeScript.
- Experience building systems around LLMs or agentic workflows.
- Familiarity with model APIs, tool calling, context management, or agent loops.
- Good understanding of distributed systems and production reliability.
- Working knowledge of AWS.
- Strong problem-solving skills and comfort working through technical ambiguity.
- Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.
Bonus tacos if you have
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with MCP, agent tools, or multi-agent systems.
- Experience with remote execution, sandboxing, or isolated compute.
- Experience building integrations across multiple model providers.
- Experience with AWS, Kubernetes, Docker, or Linux.
- Open-source contributions or experience working directly with customers.
Our tech stack
- Backend: Go, Postgres
- Frontend: TypeScript, React
- Infrastructure: AWS, Kubernetes
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Задачи:
- Проектировать, создавать и поддерживать масштабируемые распределённые backend-системы, обеспечивающие возможности платформы и продуктов
- Полностью отвечать за backend-сервисы: от архитектуры и реализации до мониторинга и долгосрочной надёжности
- Тесно сотрудничать с продуктовой и инженерной командами для активного участия в принятии продуктовых решений
- Формировать решения вместе с клиентами, использующими API: превращать расплывчатые запросы в конкретные предложения и планы
- Развивать backend-компоненты Web3 платформы: интеграции протоколов, поддержку новых блокчейн-сетей, надёжное взаимодействие со смарт-контрактами
- Обеспечивать высокие стандарты качества кода, производительности, безопасности и наблюдаемости
- Использовать AI как ключевой элемент инженерного процесса (проектирование, ревью, отладка, выпуск)
Требования:
- Опыт проектирования и создания распределённых backend-систем от 5 лет
- Глубокие знания алгоритмов, структур данных и шаблонов проектирования ПО
- Умение работать в быстром стартап-окружении; высокая ответственность за результат
- Ежедневное практическое использование AI в инженерной работе
- Высокие стандарты качества кода, надёжности систем и пользовательского опыта
- Знания Golang (желательно, но не обязательно), Docker, Kubernetes, SQL (Postgres), NoSQL (MongoDB, Cassandra), мониторинг (Sentry, Prometheus, Grafana), AWS, Python 3
- Приветствуется практический опыт Web3 (блокчейн-системы, dApps, смарт-контракты)
Задачи:
— Развитие продукта Platform V GraDeLy в области логической репликации данных с захватом изменений на уровне базы данных.
— Обеспечение клиентам надежного и эффективного доступа к функционалу Platform V GraDeLy, сопровождая полный цикл поставки: от приемки до тестирования, внедрения и поддержки.
— Гарантировать стабильность работы продукта и непрерывное развитие функционала, закрывая ключевые потребности бизнеса.
— Принимать и тиражировать продукт для клиентов.
— Тестировать и обеспечивать надежность решений.
— Развивать продукт, делая его удобным и эффективным для пользователей.
Требования:
— Уверенная разработка планов тестирования с использованием JMeter.
— Анализ метрик с помощью Grafana, Prometheus и PromQL.
— Запуск сервисов и стенда с использованием Docker.
— Базовое чтение и правка кода на Go.
— Применение теории разработки автотестов.
— Опыт работы с Java.
— Опыт работы с базой данных Postgres под нагрузкой: пулы соединений, индексы, план запроса, мониторинг.
— Опыт работы с Git.
Условия:
— Удалённый формат работы.
— Полная занятость.
Контакт для отклика: @AndreyBeker
Garner Health is a healthcare technology startup focused on reducing employee health insurance costs for large companies by transforming the U.S. healthcare system using proprietary clinical metrics and AI.
About the role:
We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner’s products and AI/ML workloads. This role is part of the Platform Engineering team and involves defining and upholding SLOs, leading incident response, and driving automation and standards to enable faster and more reliable shipping by engineers. The role emphasizes automation-first approaches using AI tools to convert manual operational work into monitored, hands-free processes.
Responsibilities:
— Own end-to-end reliability, performance, and resilience of cloud environments (AWS, Kubernetes), including AI/ML workloads
— Define, measure, and uphold SLOs across critical services
— Lead incident response, participate in on-call rotation, conduct root cause analysis, and review infrastructure changes
— Build and maintain monitoring, alerting, and observability systems
— Translate scaling requirements into automated infrastructure-as-code deliverables using Terraform
— Identify and implement cost-efficiency and performance improvements across the stack
— Reduce operational toil and tech debt through AI-driven automation
— Build and maintain deployment and observability standards to empower engineering teams
— Ensure infrastructure and operations comply with security and HIPAA requirements
Requirements:
— 4+ years of hands-on experience operating production cloud infrastructure at scale in SRE, DevOps, or platform engineering roles
— Deep expertise with Kubernetes and Terraform in cloud-first environments (AWS preferred)
— Strong experience with production observability: defining SLOs, monitoring, alerting, incident response, and blameless post-incident reviews
— Strong software engineering skills in Python or Go applied to infrastructure automation; experience with Kubernetes APIs is a plus
— Experience optimizing cloud cost and performance across compute, storage, and networking
— Experience supporting AI/ML or data-intensive workloads in production is a plus
— Experience in security-conscious or regulated environments (HIPAA, SOC 2) is a plus
— Familiarity or strong motivation to use AI tools (e.g., Claude) for engineering and operations workflows
— Commitment to high performance, accountability, and authentic feedback
Technologies used:
AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab
Additional information:
— Remote position with occasional travel to NYC headquarters
— No visa sponsorship available
— Compensation range: $191,000 - $226,000 per year plus equity and benefits including flexible PTO, medical/dental/vision plans, 401(k) with company match, flexible spending accounts, and Teladoc Health
— Equal Employment Opportunity employer committed to diversity and accommodations for disabilities
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM:
GTM Engineering builds the AI agents, systems, and automation that power how our go-to-market teams work. We partner across Sales, Marketing, Customer Success, Support, and other GTM functions to identify high-leverage problems and build solutions that improve speed, quality, and scale. Our work spans four core areas:
- Identify — find high-leverage GTM workflows where AI can meaningfully improve how we operate
- Build — design, build, and deploy production AI agents and automated workflows across GTM
- Enable — drive adoption through thoughtful rollouts, playbooks, best practices, and ongoing enablement
- Evangelize — share what we build and learn externally through content, demos, talks, and open source examples
ABOUT THE ROLE:
You'll own the health, cost, performance, and business impact of the GTM Agent System, and build the feedback loops that keep it improving. Because we build the platform we run on, you'll also operate the agent on LangSmith the way we tell customers to, and turn that practice into the reference story enterprises keep asking us for. You'll work across Python 3.11, FastAPI, LangGraph, DeepAgents, LangSmith, Supabase Postgres, BigQuery, Anthropic and OpenAI models, and Slack and Next.js surfaces.
WHAT YOU'LL DO:
- Monitor production health across every graph, catching errors, slow runs, expensive runs, and silent failures before reps report them
- Triage incoming issues from Slack, tickets, and rep reports, fixing small things directly and routing the rest to the right owner
- Run the weekly eval suite, investigate failures, and turn real production bugs into permanent regression tests
- Track cost and latency by model, graph, use case, and role, and recommend concrete changes to model choice, reasoning effort, and caching
- Track usage and adoption per rep and per feature, and own the weekly health report the team runs on
- Build the business metrics that show leadership what the agent is worth, from reply rates and meetings booked to hours reclaimed and ROI
- Build our own monitoring and alerting on LangSmith, and write the “how we run our own agent” story for customers
WHAT YOU'LL BRING:
- Strong production Python and SQL, comfortable working in traces, logs, and warehouse tables
- Real experience running LLM applications, including tracing, evals, and prompt and cache mechanics
- SRE or production operations instincts: percentiles, SLOs, and separating noise from real pattern
- Healthy skepticism about metrics; you check what a number actually counts before you publish it
- Clear writing skills, and interest in publishing what you learn
- High agency; you notice what's missing and take initiative to build it
NICE TO HAVES:
- LangGraph or LangSmith experience
- Experience building an eval suite from scratch
- BigQuery or dbt
- Prior DevRel-adjacent writing
- Empathy for sales and go-to-market users
Salary: $165,000 - $220,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
О компании. AgVend — B2B SaaS-платформа для агросектора Северной Америки, 8 лет на рынке, около 30% рынка ag-retail в США и Канаде, около 150 человек, из них около 100 в R&D. Полностью удалённая работа, офисы в Канаде, США и на Кипре для желающих.
Стек. Python, Django, DRF, Postgres, ClickHouse, AWS на бэкенде. TypeScript и React на фронтенде. Модульный монолит (3 крупных приложения и микросервисы-сателлиты). 5 продакшн Kubernetes-кластеров, около 150 тенантов, около 5K RPM. CircleCI, Docker/ECR, Helm/Terraform, blue-green деплой.
Задачи:
— Полноценная fullstack работа: проектирование API на Django/DRF и реализация UI на React/TypeScript в рамках одной задачи.
— Реализация фич end-to-end: от модели данных и миграций до компонентов и состояния на фронте.
— Владение зоной ответственности: архитектура, code review, ответственность за продакшн.
— Работа с реальной нагрузкой: Postgres и ClickHouse, мульти-тенант, миллионы записей.
Требования:
— Senior, 5+ лет коммерческой разработки.
— Уверенный Python и Django/DRF на уровне продакшн под нагрузкой с Postgres.
— React и TypeScript на продуктовом уровне: state management, оптимизация рендеринга, сложные формы и таблицы.
— Комфортная работа и на бэкенде, и на фронтенде.
— Самостоятельность, ведение зоны без микроменеджмента, прямая работа с PM.
— Русский язык — основной рабочий, английский — рабочий уровень.
Будет плюсом:
— Опыт с ClickHouse и аналитическими базами данных.
— Опыт с highload/финтех.
— Знания Kubernetes, Helm, Terraform, CircleCI на уровне "могу починить пайплайн".
— Опыт с очередями и распределёнными системами (Kafka, RabbitMQ, идемпотентность).
Условия:
— Только сеньорская команда, плоская структура (EM + senior IC, без техлидов).
— Безлимитные отпуска, soft management, нет фиксированных часов, асинхронная коммуникация.
— Оффсайты 2 раза в год (Кипр и Грузия/Армения).
— Бюджет на обучение, конференции, технику.
— Очень низкая текучка — многие работают по 5–6 лет.
— Коммуникация внутри команды на русском.
Location: Remote - USA
PlanetScale is growing rapidly and reinventing the database space. Our database platform offers developers the fastest and most reliable Postgres and Vitess/MySQL databases, enabling businesses to efficiently handle data and workloads of all sizes.
PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher.
We're looking for a Brand Designer to help shape and evolve the visual identity of PlanetScale across all touchpoints. In this role, you'll be a key member of our Marketing team, translating complex technical concepts into compelling visual stories that resonate with developers and technical decision-makers. You'll craft everything from in-person event experiences to web graphics, merch designs, and creative website assets that make databases feel exciting.
What's the job to be done?
Visual Brand Development
Design web graphics including technical diagrams, illustrations, and interactive visual assets that simplify complex database concepts.
Create compelling visual systems for campaigns, product launches, and marketing initiatives.
Design for multiple formats and contexts: digital, print, experiential, and merchandise.
In-Person Experiences
Design booth graphics, signage, and environmental branding for conferences, meetups, and community events.
Collaborate with the events team to create memorable, on-brand experiences that stand out
Design merch that developers actually want to wear and use.
Create branded collateral including banners, posters, stickers, and promotional materials.
Website and Digital Assets
Design creative website components and landing pages.
Design data visualizations and technical diagrams that make complex information accessible.
Create social media graphics, blog post imagery, and other digital marketing assets.
Develop templates and design systems that enable the team to move quickly.
Brand Evolution
Collaborate with marketing leadership to evolve and expand the PlanetScale brand identity.
Explore new visual directions while maintaining brand coherence.
Document design decisions and maintain brand guidelines.
These attributes best describe you.
A strong portfolio demonstrating versatile design skills across digital, print, and experiential design.
Deep understanding of design fundamentals: typography, color, composition, and visual hierarchy.
You've figured out where AI actually helps in a design workflow and built process around it.
Comfortable working in both brand and production modes. You can think big picture and execute in the details.
Strong communication skills with the ability to both articulate design decisions and understand direction.
Self-directed and able to manage multiple projects with competing deadlines.
Collaborative spirit with the ability to incorporate feedback while maintaining creative vision.
What else will help you be successful.
Experience designing for technical or developer-focused brands.
Proficiency in Figma, Adobe Creative Suite, and other design tools.
Comfortable using AI to build a working first draft of a page rather than handing off a static mockup.
Understanding of design systems and component-based thinking.
Enthusiasm for learning about databases, infrastructure, and developer tools.
Why PlanetScale
We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Brand Designer, you'll help shape how developers and engineering leaders perceive and interact with PlanetScale, translating the power of our platform into visual experiences that inspire and inform. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America.
At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status.
If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Total Compensation and Pay Transparency
An employee's total compensation consists of base salary + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process.
Base salary range:
$170,000 - $220,000 USD
Location: San Francisco
PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience.
PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for early members of our Sales team that can form deep partnerships with our prospects and customers to help them adopt and succeed on the next generation of database infrastructure.
We host the databases behind companies like Cash App, Intercom, and Cursor. In other words: important databases.
We’re hiring a dedicated outbound SDR. You won’t inherit a dusty playbook assembled in 2017 and be told to “just add personalization.” You’ll help us build an AI-native outbound motion from the ground up. You’ll work with modern tools, help create the playbook, and have input into how we build outbound from here. This role is for someone who wants to sell, experiment, automate repetitive work, and learn how great infrastructure companies go to market.
If that sounds exciting, and slightly intimidating, that’s probably a good sign!
What ‘s the job to be done?
Find promising companies that should be using PlanetScale, but aren’t yet.
Research their architecture, growth, and likely infrastructure problems.
Build creative outbound campaigns using tools like Claude and Clay.
Talk to engineers and technical leaders without immediately saying, “Let me bring in someone technical.”
Turn interest into real pipeline: a mapped buyer, an actual problem, and a reason to solve it now.
Help determine what works, what doesn’t, and what we should scale.
These attributes describe you.
You have 1+ year of quota-carrying SDR or BDR experience.
You’ve consistently hit your number.
You’re early in your career, ambitious, and learning quickly.
You already use AI to improve how you work—not just to rewrite emails with the word “delve.”
You can show us something you built with Claude, Clay, or another AI tool and explain how it made you better or faster.
When you encounter repetitive work, your first thought is, “Could a robot do this?”
You’re curious about databases, infrastructure, and how modern AI companies are built.
You actively seek feedback rather than treating it as a personal attack.
What you will need.
Not literal points. We do not have a leaderboard. But these will help:
You’ve sold to engineers, platform teams, or infrastructure buyers.
You’ve worked in developer tools, infrastructure, or open source.
You’ve used Clay, Unify, Outreach, Salesloft, Gong, or Salesforce.
You’ve worked somewhere with a real outbound playbook and know which parts are worth keeping.
You can explain what a database does without checking Wikipedia first.
Why PlanetScale
We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS.
PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America.
At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status.
If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Location
This role is based in San Francisco. You'll need to already live here
Total Compensation and Pay Transparency
An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process.
OTE: $100,000 USD
ГибридseniorVienna, Austria
81 000 – 220 000 €
ОфисBoston, MA
Зарплата не указана
ОфисSan Francisco, CA; New York, NY
Зарплата не указана
УдалённоRemote
Зарплата не указана
УдалённоseniorUnited States; Canada
Зарплата не указана
УдалённоseniorСША
191 000 – 226 000 $
ОфисSan Francisco, CA
Зарплата не указана
УдалённоRemote - USA
Зарплата не указана
San Francisco
Зарплата не указана
Все вакансии в одном месте — страница 8 · Job Hunters
