Задачи:
— Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций.
— Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе.
— Разработка backend-сервисов и API для сбора, обогащения и запросов данных.
— Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей.
— Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников.
— Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes.
— Выступать техническим авторитетом по вопросам дизайна систем, производительности, надежности и поддержки.
— Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования решений в соответствии с долгосрочной стратегией.
— Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации.
— Ревью дизайнов и кода, предоставление рекомендаций и повышение технического уровня команды.
— Выявление системных проблем, снижение технического долга и улучшение масштабируемости платформы и опыта разработчиков.
Требования:
— Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными производственными системами.
— Способность работать самостоятельно в условиях неопределенности и доводить решения до конца.
— Сильные навыки backend-разработки, включая дизайн API и работу с интенсивными данными сервисами.
— Опыт создания приложений, основанных на данных, включая сбор, трансформацию и анализ.
— Владение одним или несколькими backend-языками: C#, Python, Go, Java.
— Хорошие навыки SQL и опыт работы с реляционными базами данных.
— Практический опыт с Docker и контейнеризацией приложений.
— Понимание основ распределенных систем и облачного дизайна приложений.
— Опыт работы с CI/CD и современными процессами разработки ПО.
— Отличное техническое суждение, коммуникационные навыки и способность влиять без формального авторитета.
Предпочтительный опыт:
— Проектирование и эксплуатация систем на Kubernetes.
— Знакомство с PostgreSQL, MySQL или аналогичными базами данных.
— Опыт работы с ETL-конвейерами, аналитическими платформами или инструментами для операционных данных.
— Опыт работы с облачными платформами GCP или AWS.
— Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии.
— Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры.
Образование и опыт:
— Степень бакалавра в области компьютерных наук или смежной области, либо эквивалентный практический опыт.
— Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критическими системами.
Задачи:
— Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций.
— Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе.
— Разработка backend-сервисов и API для сбора, обогащения и запросов данных.
— Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей.
— Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников.
— Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes.
— Выступать техническим авторитетом по вопросам дизайна систем, производительности, надежности и поддержки.
— Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования решений в соответствии с долгосрочной стратегией.
— Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации.
— Ревью дизайнов и кода, предоставление рекомендаций и повышение технического уровня команды.
— Выявление системных проблем, снижение технического долга и улучшение масштабируемости платформы и опыта разработчиков.
Требования:
— Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными производственными системами.
— Способность работать самостоятельно в условиях неопределенности и доводить решения до конца.
— Сильные навыки backend-разработки, включая дизайн API и работу с интенсивными данными сервисами.
— Опыт создания приложений, основанных на данных, включая сбор, трансформацию и анализ.
— Владение одним или несколькими backend-языками: C#, Python, Go, Java.
— Хорошие навыки SQL и опыт работы с реляционными базами данных.
— Практический опыт с Docker и контейнеризацией приложений.
— Понимание основ распределенных систем и облачного дизайна приложений.
— Опыт работы с CI/CD и современными процессами разработки ПО.
— Отличное техническое суждение, коммуникационные навыки и способность влиять без формального авторитета.
Предпочтительный опыт:
— Проектирование и эксплуатация систем на Kubernetes.
— Знакомство с PostgreSQL, MySQL или аналогичными базами данных.
— Опыт работы с ETL-конвейерами, аналитическими платформами или инструментами для операционных данных.
— Опыт работы с облачными платформами GCP или AWS.
— Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии.
— Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры.
Образование и опыт:
— Степень бакалавра в области компьютерных наук или смежной области, либо эквивалентный практический опыт.
— Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критическими системами.
Samsara is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations that depend on physical operations to harness IoT data to improve safety, efficiency, and sustainability.
Key requirements:
— proficiency in Go, Python, and JavaScript
— bonus: experience with C/C++ (firmware/embedded systems)
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Location: East Coast US & Europe (Remote)
Workplace: Remote
About Dune
Dune's mission is to make onchain finance observable. We're the industry standard for onchain data: a blockchain data and intelligence provider that institutions, protocols, and analysts trust to understand the onchain world and the frontiers of finance. We deliver structured datasets, spanning stablecoins, RWAs, tokens, lending, trading, and more, from 130+ chains and counting, to 1,000+ industry leaders including Visa, WisdomTree, FINRA, the IMF, Bloomberg, Standard Chartered, Coinbase, Forbes, and the Financial Times.
We're a tight knit team of ~50 hard working people, spread across Europe and eastern US timezones 🌍️, having an outsized impact on the industry. We take pride in being ambitious and doing world class work while staying humble and lighthearted. We believe in building open, verifiable data that lets individuals and institutions do deep research into ecosystems like Ethereum, Solana, Robinhood and many more.
We're backed by some of the world's best investors. In February 2022, we announced our Series B funding round led by Coatue and Union Square Ventures, an important milestone that let us double down on our mission.
If you like being challenged and want to work together with a brilliant team on an important mission, come join us.
Learn more about us:
About Dune
https://dune.com/about
Values and working at Dune
https://dune.com/careers
ABOUT THE ROLE
Data Foundation owns how blockchain data enters Dune, how it is represented and how it’s delivered externally. This is a role that involves thinking about large distributed data systems, recognising traditional scaling patterns and software lifecycle pitfalls, and is ideal for anyone passionate about those topics.
You will be the engineer we hand ambiguous product requirements to, and will be comfortable coming back with a design, a sequence, and a set of tasks the team can pick up as well as building the hardest parts yourself.
IN THIS ROLE YOU WILL
- Turn product requirements into technical requirements: model the domain, define the interfaces and the workflows, and navigate trade-offs
- Break large problems into work other engineers can own, and sequence it so we ship something useful early
- Drive high-impact architectural decisions across the data platform, and own components end to end from design through production
- Work across our stack, mainly Go, Kotlin, Rust and Python where they fit, choosing the right tool rather than the familiar one
- Design for correctness and performance under real volume: large-scale ingestion, distributed processing, and data lake storage
- Raise the bar on design reviews, testing, and how the team breaks work down
- Mentor engineers by example, in a fully distributed team
YOU MIGHT BE A GREAT FIT IF
- You are a strong generalist with real computer science fundamentals, and you use them to adapt quickly to new technologies and problem spaces
- You reason from first principles: you make assumptions explicit, identify the constraints and invariants that matter, and derive the solution rather than reaching for a familiar pattern.
- You use computer science fundamentals as practical tools. You have designed and shipped distributed data systems, making their contracts, state transitions, invariants, and failure modes explicit. You know their fault models and scaling weaknesses
- You are comfortable with ambiguity : you will talk to product, to customers, and to the team, then commit to a scope and defend it
- You use AI tools well enough that they have changed how you work, you understand their failure modes and dislike ai-slop.
- You communicate clearly in writing and get the best out of a distributed team
NOT REQUIRED, BUT A PLUS
- Experience with data lakes and formats such as Parquet, Iceberg or Deltalog
- Experience at a company where the data is the product
PERKS & BENEFITS
- A competitive salary and equity package 🚀. Both salary and equity is top 25% of companies https://notion.so/Careers-at-Dune-Doing-the-best-work-of-your-life-f25e0b5e1f624d2aaf3ef2c81558ea96#7f745f5112394686bd7c127c720f2024 in the space
- Our employee equity scheme has world-class employee-friendly terms with a heavily discounted strike price (~90%) and a 10-year exercise window
- 5 weeks PTO + local public holidays (that can be swapped to suit you) 🏖
- A fully remote-first approach 🧑💻 within a distributed team with flexible working hours; you structure your own day
- Say goodbye to meeting overload! We believe in a healthy mix of async and sync work, so you can focus on what truly matters—no more wasted time on endless meetings!
- Good health is important, so we offer private medical insurance, dental & vision as standard 🩺
- We believe in paid parental leave 👶 to help you celebrate this important milestone, transition to your new life, and bond with your new baby. We offer 16 weeks to primary and 6 weeks to secondary caregivers, fully paid. Plus a 2-week part-time phased return at full pay to help you get used to your new (and slightly more complex!) schedule
- Quarterly offsites in various exciting locations as a company or team to connect, work together and have fun (so far in Tuscany 🇮🇹 Berlin 🇩🇪 Austria 🇦🇹 and Athens 🇬🇷).
- On top of this 👆each person gets a yearly travel allowance to connect and co-work with someone or a team of people for a few days.
- An allowance for your at-home setup, to ensure you are happy, comfortable and productive. If you prefer a local co-working space, we’ll pay for your desk.
- An annual allowance for your Learning and Development needs.
- Work with some of the best people you’ll ever get to meet!
- And of course, you get some awesome Dune swag! ✌️😎
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We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
#LI-Remote
Location: Remote, EU
Workplace: remote
About us
Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?
We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.
Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally
Our culture
We build trusted products that help people access and discover economic opportunities.
We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.
We’re a global team building products people can actually use, turning complex technology into something simple and reliable.
We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.
About the Role
We're hiring a Staff Backend Engineer to build the backend infrastructure behind Aave App, a consumer savings app that makes onchain financial products simple, secure, and intuitive, and the vault products that power it.
The role focuses on the systems between blockchain protocols and the consumer experiences built around them. This includes account and wallet services, transaction orchestration, vault management, monitoring and rebalancing, partner vault integrations, high-reliability blockchain indexing, balances and yield data, funding and withdrawal flows, notifications, and performant, well-documented APIs for mobile and web clients.
You'll own a broad technical area with high ownership and turn ambiguous product goals into reliable production systems. Correctness, security, and operability are critical: the services you build will support customer transactions, sensitive account flows, user funds, and financial data across both onchain and offchain infrastructure.
You'll also work closely with Quant Engineers, who own the financial models, assumptions, and calibration behind vault allocation and rebalancing, and with smart contract engineers, who own onchain integration and enforcement. Backend owns the production systems, data pipelines, and services that run those models.
How you can make an impact:
Design, build, and operate backend services for Aave App across onboarding, funding, savings, vaults, withdrawals, portfolio data, and customer communications
Build vault management, monitoring, and rebalancing systems, including partner vault integrations, and work with Quant Engineers to turn reviewed allocation models into reliable production services
Build transaction-orchestration and high-throughput indexing services that safely prepare, submit, monitor, and reconcile onchain activity across its full lifecycle
Integrate with smart contracts, RPC providers, account infrastructure, payment partners, and other external services, designing for degraded dependencies and partial failure
Lead technical reviews for high-value systems and improve testing, observability, alerting, incident response, and deployment practices across the backend codebase
Work closely with mobile, web, product, design, protocol, smart contract, quant, security, data, and operations teams to deliver coherent consumer experiences
Raise the engineering standard through hands-on delivery, pragmatic architecture, clear documentation, and review that helps other engineers grow
Let's connect if you have:
6+ years of backend engineering experience, including ownership of complex production systems
Strong backend programming skills. Production experience with Rust is highly desirable, but we'll also consider strong systems experience in Go, C++, Zig, or Java
Experience building distributed, event-driven, or data-intensive systems with clear reliability and performance requirements
Strong knowledge of API/GraphQL design, PostgreSQL or another relational database, caching, queues, and observability
Experience with blockchain systems or other financial infrastructure involving real capital, particularly transaction signing, private-key or key-management flows, wallet infrastructure, and onchain transaction lifecycles, is highly desirable
Strong judgement around threat modelling, sensitive data, permissions, and the operational risks of systems handling financial value
Nice to haves:
Experience reading smart contracts and integrating with EVM-compatible networks, smart accounts, account abstraction, bridges, vaults, or DeFi protocols
Experience designing constraint, optimization, solver, or allocation systems
Experience building consumer fintech, savings, wallet, exchange, or payments products at meaningful scale
Experience with cross-chain indexing, large-scale data ingestion, Kafka, ClickHouse, or similar infrastructure
Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!
Equal opportunities statement:
Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
WHAT YOU’LL DO
- Lead the design and implementation of Harvey's Model Infrastructure platform.
- Build systems to ensure high availability, low latency, and operational excellence for AI inference.
- Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost.
- Develop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.
- Integrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models.
- Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.
- Partner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads.
- Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.
- Collaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment.
- Lead cross-functional technical initiatives and mentor engineers across the organization.
WHAT YOU’LL BUILD
- Model Reliability & Operations
- Model health monitoring
- Automated failover and recovery
- Capacity provisioning
- Operational tooling and incident automation
- Unified Model Controller (UMC)
- Policy-based model routing
- Intelligent Model Selector
- Model health monitoring
- Traffic management
- Reliability and latency optimization
- Provider Platform
- Multi-provider architecture
- API and SDK integrations
- OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers
- Rapid adoption of new frontier models
- Observability & Cost Platform
- Token usage analytics
- Cost attribution
- Latency and reliability dashboards
- Capacity forecasting
- Utilization optimization
- AI Platform Foundation
- Infrastructure supporting model evaluation
- Model deployment and operations
- Future model training platform
- Agent infrastructure and CcaaS
WHAT YOU HAVE
- 10+ years of software engineering experience building large-scale distributed systems.
- Experience designing and operating highly available production services.
- Strong programming skills in Go, Java, Python, Rust, or C++.
- Deep understanding of distributed systems, cloud infrastructure, networking, and observability.
- Experience leading technical projects across multiple engineering teams.
- Ability to balance long-term architecture with pragmatic execution.
- Strong communication and collaboration skills.
- Passion for building foundational platforms that enable other engineering teams.
NICE TO HAVE
- Experience with AI infrastructure, LLM serving, or machine learning platforms.
- Experience with model routing, inference gateways, or policy-based serving systems.
- Experience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs.
- Experience with Kubernetes, cloud infrastructure, and service mesh technologies.
- Experience with large-scale observability and SRE best practices.
- Experience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.
- Familiarity with GPU infrastructure or model training platforms.
COMPENSATION
$236,000 - $340,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AK1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco; London; Austin; Berlin; Seattle; New York City; Toronto
Workplace: Hybrid
ABOUT THE ROLE
The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team.
You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization.
KEY RESPONSIBILITIES
- Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries.
- Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation.
- Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use.
- Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads.
- Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements.
- Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners.
QUALIFICATIONS
- 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.
- A track record of owning complex production systems end to end and delivering sustained technical impact across teams.
- Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship.
- Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java.
- Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability.
- Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco; London; Austin; Berlin; Seattle; New York City; Toronto
Workplace: Hybrid
ABOUT THE ROLE
The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team.
You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization.
KEY RESPONSIBILITIES
- Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries.
- Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation.
- Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use.
- Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads.
- Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements.
- Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners.
QUALIFICATIONS
- 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.
- A track record of owning complex production systems end to end and delivering sustained technical impact across teams.
- Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship.
- Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java.
- Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability.
- Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco, California; United States (Remote)
Workplace: Remote
ABOUT THE ROLE
AI teams are assembling their stacks from a fast-moving set of best-in-class tools — model providers, agent SDKs, evaluation and observability platforms, cloud services. Temporal is the durable execution layer that ties those pieces together and makes them production-grade. That position is a strategic advantage, and it needs a dedicated owner.
As Staff Product Manager, AI Ecosystem, you own Temporal's integrations and partnerships product portfolio — the surfaces where Temporal meets the rest of the AI stack. You'll define how Temporal is better together with best-in-class tools (eg, from OpenAI, Google, AWS, Braintrust, and more), and how Temporal becomes the durable foundation developers reach for from prototype to production.
This is a role where shipping the integration code is just the beginning. You'll drive business leverage through the narrative, the reference architectures, the enablement, and the sustained momentum that make an integration matter to customers and to the field. You'll partner with Engineering, Product Marketing, Partnerships, Sales, Solutions Architecture, and DevRel to take products to market and drive real adoption.
Location: San Francisco Bay Area (strongly preferred); remote (US) considered with heavier travel
WHAT YOU'LL DO
- Own the integrations & partnerships product roadmap. Identify, prioritize, and sequence the integrations and partner experiences that make Temporal the execution layer of choice across the AI stack, and make the hard calls about what not to build.
- Stay in the market daily. Be in customer conversations constantly and track a fast-moving AI tooling landscape. Turn what you learn into a roadmap grounded in real, current user needs.
- Help define the "Temporal for AI" ecosystem story. Work with cross-functional partners to drive the positioning, reference architectures, and composable building blocks that help AI engineers see how Temporal fits their architecture — prescriptive enough to be useful, adaptable enough to fit their stack.
- Take products to market with GTM. Partner with internal GTM (Product Marketing, Sales, Solutions Architecture, DevRel) and with partner GTM orgs to launch integrations and drive adoption.
- Drive internal enablement. Make sure the field knows how to sell, deploy, and support every integration in the portfolio. Help build the demos, talk tracks, and reference materials at the right altitude.
- Define and track success. Set the KPIs that tell us whether the ecosystem strategy is working. Our priors is that early-stage ecosystem bets are measured by adoption and momentum, not immediate revenue.
WHAT YOU'LL BRING
- Staff-level product ownership. You take an ambiguous strategic question and turn it into a roadmap and shipped outcomes with minimal direction. 8+ years in product management or an equivalent track record.
- Deep AI fluency. You are hands-on with the AI tooling landscape (eg, agent frameworks and SDKs, model providers, eval and observability tools) and you have an opinionated, well-reasoned view of where it's going. If you're not touching this technology regularly, you'll fall behind, and this role can't afford that.
- Ecosystem, platform, or partnerships product experience. You've owned integrations, a developer platform, or partner-facing products, not just end-user features.
- GTM partnership instincts. You've worked hand-in-hand with Product Marketing, Sales, Solutions Architecture, and external partners to launch products and drive adoption, and you can enable a field organization to sell something new.
- Technical literacy. You reason fluently about AI systems, and can hold your own in a design conversation with Staff engineers. You don't need to write production code.
- Narrative-grade writing. You build stories. You can write the document that aligns an organization and changes what it invests in.
NICE TO HAVE
- Background in distributed systems, durable execution, or workflow orchestration
- Hands-on experience with Temporal or comparable systems
- Prior DevRel, field-facing, or technical-marketing-adjacent experience
- A track record of building reference architectures or developer enablement programs
WHY TEMPORAL
- You'll shape how the industry builds AI. Temporal's position underneath the AI stack is rare and strategically valuable. You'll own a meaningful part of it.
- Deeply involved in AI. We power many of the biggest names in the space, and partner with the companies defining it.
- Open source at the core, a strong engineering culture, and a developer-first mission.
- Well-funded with a strong growth trajectory.
- Competitive compensation, equity, and comprehensive benefits.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential by building secure, reliable, and scalable internal systems that keep the company running smoothly.
As a
Staff Full-Stack Software Engineer
specializing in AI, you will personally design and build the AI agent capabilities and product experiences for an internal enterprise intelligence platform. This includes the retrieval, orchestration, and reasoning layer that sits on top of a semantic data layer built and maintained by a partner data engineering team. You’ll turn these capabilities into search, chat, and workflow experiences that help leaders find information and make decisions faster. This is a hands-on, coding-majority role. You’ll build the agents, prompts, tool integrations, and full-stack product surface yourself.
You’ll work directly with product owners, system leads, and domain experts across HR, Finance, IT, Legal, and Workplace to understand real workflows. You’ll also work closely with a partner data engineering team that owns ingestion, the semantic layer, and the underlying data model. You will consume and help shape requirements for that layer rather than building it yourself. Your work will directly improve how Rioters hire, plan, spend, onboard, and operate at scale.
The ideal candidate is a deeply experienced full-stack software engineer who has personally shipped AI-enabled products at scale, is comfortable building in ambiguous and evolving problem spaces, and takes ownership of systems from the first commit through production operation.
The role will report to the Manager of Enterprise Systems Engineering.
Responsibilities:
Build and maintain an orchestrator + specialist-agent architecture (retrieval, tool use, structured outputs, multi-step reasoning) on top of a semantic data layer owned by a partner data team.
Design and implement retrieval and grounding for RAG/semantic search use cases: embeddings, reranking, citation of evidence, and techniques to reduce hallucination.
Integrate agents with internal and external tools/APIs (function/tool calling) to let them take real actions, not just answer questions.
Build the full-stack application layer, APIs, and UI that exposes AI-powered search, chat, and workflow experiences to end users.
Instrument AI features with observability for quality, latency, token usage, and cost, and use it to drive iteration and tuning.
Iterate on prompts and model choices quickly, with sensible fallback behavior when a model, tool, or retrieval step fails or returns low-confidence output.
Apply solid engineering fundamentals: source control, code review, automated testing (unit, integration, functional), CI/CD, and on-call for the systems you own.
Required Qualifications:
Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent professional experience delivering enterprise technology solutions).
8+ years of professional experience in full-stack software development
Practical, end-to-end experience building RAG or agentic systems: retrieval, tool-calling, structured outputs, multi-step reasoning, and verification/evaluation loops, not just familiarity with LLM APIs.
Experience designing and running evaluation approaches for nondeterministic systems: curated datasets, automated metrics, human review, and production feedback.
Experience establishing basic AI observability (quality, safety, reliability, latency, token usage, cost) for features you build.
Working understanding of AI security and responsible-use risks, prompt injection, tool abuse, data leakage, access control, model limitations, sufficient to build safeguards into what you ship.
Deep hands-on programming experience in Node, TypeScript, React.
Experience with modern frameworks (e.g., NextJS, NestJS).
Experience building RESTful and GraphQL APIs, working with relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Redis) databases.
Comfortable with cloud infrastructure and deployment: AWS, containers (Docker), orchestration (Kubernetes), CI/CD pipelines.
Familiar with software engineering best practices: automated testing, code review, monitoring/observability, security and performance considerations.
Desired Qualifications:
Deep practical knowledge of retrieval-augmented generation and semantic search, including embedding and reranking models, retrieval design, grounding, citations, and evaluation.
Experience with agent platforms (e.g., LangGraph, AutoGen, CrewAI, or comparable), vector databases, and multi-agent orchestration patterns.
Working familiarity with Python and lakehouse/data-catalog concepts (e.g., Databricks, Unity Catalog), enough to collaborate effectively with the data engineering team, without needing to own pipeline build-out.
Experience shipping an internal AI product from scratch as part of a small, fast-moving team, comfortable with a "scrappy MVP, iterate" delivery style rather than a fully-specified roadmap.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit is a platform built on creativity, and our users are constantly finding new ways to make it their own. Tens of thousands of external developers are already building apps on Reddit, and we’re just getting started.
We’re looking for a Staff Software Engineer to help shape the future of our developer platform. You’ll work across frontend, backend, SDKs, platform, and full-stack systems to make it easier for developers to build useful, creative, and delightful apps on Reddit.
You’ll help define the technical direction of the platform, lead important initiatives, and build the foundation for new developer experiences. You’ll work closely with engineers, product managers, designers, and other teams to solve complex problems and turn ambitious ideas into real products. This is a very hands-on role. We collaborate closely with Redditors and reddit.com regularly.
If you enjoy building new things, working across technical boundaries, and making delightful experiences for developers, we’d love to hear from you.
What You’ll Be Working On
Designing and implementing platform features, making the developer platform easier, faster, and more powerful to build on
Leading major technical initiatives from early exploration through launch
Building the systems and tools that support future developer experiences
Working across backend, infrastructure, client, and full-stack components
Helping create a collaborative team with a strong sense of ownership
Who You Might Be
6+ years of industry experience working on platform functionality, developer tools, full-stack products, or app platforms
Experience leading large-scale technical projects from design through delivery
API design and platform engineering experience, with a strong sense of developer empathy
Familiarity with technologies such as Go, TypeScript, GraphQL, React, Redis, relational / NoSQL databases, along with the ability to work across the stack when needed
A habit of using AI tools in your daily work to improve productivity and software quality
A track record of mentoring engineers and raising the bar for software engineering practices through intentional efforts contributing to team culture
A passion for building high-quality software that people enjoy using
An entrepreneurial mindset: you’re self-directed, curious, comfortable with ambiguity, and eager to turn ideas into action
Excellent communication skills, with the ability to work effectively in a fully remote environment and explain complex topics to both technical and non-technical audiences
Responsibilities:
Build and evolve the core platform services and capabilities that power the developer experience.
Create new capabilities that help external developers build great apps on Reddit
Contribute across the full development cycle, including technical design, development, testing, experimentation, analysis, and launch
Review code, design documents, product specifications, and user experiences
Help shape team strategy and the future direction of the platform
Share knowledge, mentor teammates, and contribute to a culture of thoughtful ownership
Bonus Points
Contributions to open-source projects
Native mobile development experience
Experience building Reddit apps with the Devvit platform
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-remote, #LI-JS5
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$217,000
—
$303,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: United States; Remote
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ROLE OVERVIEW
We’re looking for a Staff Frontend Engineer to lead the design and development of major frontend systems and product initiatives at ClickUp. You’ll work across teams to solve complex technical challenges, improve engineering velocity, and help shape the direction of our frontend architecture. This role is for someone who thrives in fast-paced environments, drives clarity in ambiguity, and can influence both technical decisions and execution across the organization.
WHAT YOU’LL DO
- Lead development of complex product features and frontend systems in Angular and React.
- Partner with backend, integrations, product, design, and QA to deliver high-quality user experiences at speed
- Architect scalable, reusable frontend patterns that improve product quality and developer velocity
- Identify and address performance bottlenecks, UI architecture issues, and scalability risks
- Drive engineering best practices across testing, observability, code quality, and maintainability
- Help teams make strong technical decisions under tight timelines and evolving priorities
- Own delivery across large initiatives, balancing immediate product needs with long-term technical health
- Mentor engineers and elevate frontend craftsmanship across the team
- Contribute to improving how frontend engineers work together across domains
QUALIFICATIONS
- 7+ years of frontend engineering experience, with deep expertise in Angular and React
- Strong command of TypeScript, RxJS, NgRx, and modern frontend architecture patterns
- Experience building reusable component systems and scalable frontend application structures
- Deep knowledge of performance optimization, debugging, and building for large-scale web applications
- Strong product sense and ability to work cross-functionally in a fast-moving company
- Demonstrated success leading major technical initiatives and influencing across teams
- Strong mentorship skills and a track record of leveling up other engineers
- Excellent communication and execution skills, especially in high-urgency environments
- Strong experience with unit, integration and end 2 end testing using jest, vilest, playwright or related frameworks and ability to come up with testing strategies.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Milan, Italy; Biassono, Italy
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide.
Our Tech-Stack
We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. Here is a snapshot of our technology stack:
- Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation.
- Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React.
- Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native.
- Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.
THE DAY-TO-DAY 🛠️
- Architect the Future: Define long-term architectural standards and design resilient systems, leveraging stack.
- Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes.
- Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions.
- Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output.
- Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams.
- Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results.
- Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.
YOUR SUPERPOWERS ⚡
- Experience: 10+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex products end-to-end and solving complex production issues.
- Language & Tech Agility: Experience working with multi-language backends and frameworks and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency.
- AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output.
- Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing.
- DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices.
- Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs.
- Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia
At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to create the strongest and most effective developer tools in the world. Today, we are evolving beyond standalone tools toward a unified, AI-native platform for software development.
AI is no longer just an assistant inside the editor – it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift brings challenges that cannot be solved at the level of individual tools alone, challenges that involve governance, security, cost control, observability, and coordination between humans and autonomous agents.
The
JetBrains Platform team (JCP)
is building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. The platform is both deeply integrated with JetBrains products and designed to work across teams, products, and environments.
We’re now looking for an experienced
Software Engineer
to join an identity management and access team in JCP. The team owns several services responsible for authentication and authorization, as well as for managing organizations, user memberships, groups, and workspaces. All these form a foundational dependency for the rest of the platform. We also supply and support robust authentication components used by YouTrack, IDE Services, License Vault, Qodana, and other JetBrains products.
In this role, you will:
Own the entire SDLC: codebase, architecture, and operations
Maintain and evolve the services in Kotlin and a little bit of Go, ensuring reliability and performance as the platform grows
Design and implement new features across the identity, organization, membership, group, and workspace domains
Review and integrate PRs from other platform teams
Manage integrations with other JCP platform components and connected applications
We will be happy to have you on our team if you:
Have 7+ years of JVM development experience, preferably with Kotlin
Know how to approach performance problems on JVM and Postgres
Are experienced in building and operating SaaS production services in a distributed, multi-tenant environment
Can fluently navigate a modern devops stack: K8S, OpenTelemetry, Grafana
Have a track record of taking over and improving existing production services
Nice to have:
Prior experience with identity management protocols, such as OAuth 2.0, OIDC, SAML 2.0, or SCIM 2.0
If you have designed and evolved domain models for organizational or identity systems
Cybersecurity experience: estimating risks, recognizing common vulnerability antipatterns, and promoting best SSDLC practices
Hands-on experience with Go
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible. (depending on location)
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-KT1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future.
Claude Science
is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet.
You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next.
Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s
AI for Science Program
and
our rare disease research grants
.
What you'll do
Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed
Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities
Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product
Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development
You may be a good fit if you
Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
Have built AI products and know what it takes to turn model capabilities into applications people actually use
Are comfortable working directly with technical domain experts and translating what you learn
Drive cross-team alignment to ship impactful work, with influence over authority
Strong candidates may also have
Background in chemistry, biology, physics, or another science
Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote (Canada)
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
ABOUT THE ROLE
We’re looking for a Staff Product Manager to own Wealthsimple’s Connectivity Platform, spanning two critical areas:
- Brokerage & Bank Linking: How clients securely and reliably connect external financial institutions to Wealthsimple.
- Public API: How clients and partners securely access and use Wealthsimple financial data outside of Wealthsimple.
Together, these capabilities define how Wealthsimple connects to the broader financial ecosystem, and how every product team inside Wealthsimple builds on the external financial data that flows through it. This role will set the strategy for that platform and turn it into a reliable, scalable and differentiated capability for our clients, our product teams and our partners.
This is a platform role with a meaningful client experience surface. You’ll need to be equally comfortable thinking about APIs, data models and platform architecture as you are designing a client UX or deciding how Wealthsimple should work with an external provider.
ABOUT THE TEAM
The Brokerage & Bank Linking team builds the technology that lets clients link their outside bank and brokerage accounts to Wealthsimple. It owns the automated and manual linking experiences end to end, along with the three connectors behind them: Plaid, Flinks, and WST, our own in-house connector. That makes it one of the highest leverage surfaces in the company, and powers a growing set of experiences built by other product teams.
WHAT YOU’LL OWN
Connectivity Strategy
- Set the long term vision and strategy for how Wealthsimple connects with the broader financial ecosystem.
- Define the capabilities we should build ourselves, where we should rely on partners, and where we can create differentiated client value.
- Develop a roadmap that balances immediate product needs with investments in reusable platform capabilities.
Brokerage & Bank Linking
- Own the end to end experience for connecting external bank and brokerage accounts to Wealthsimple — automated and manual, including how clients recover when an automated connection fails.
- Improve connection success, reliability and coverage across institutions, and own the routing strategy that decides which connector handles which institution and flow.
- Own the client experience, including institution selection, authentication, errors, recovery and connection management.
- Drive reliability and AI Powered self-healing so connections detect and recover from failure without manual intervention.
- Balance conversion against fraud exposure and operational load, making those tradeoffs deliberately with our risk and operations partners.
- Develop the platform capabilities that allow Wealthsimple products to consume external financial data consistently.
- Own relationships and product integrations with connectivity vendors such as Plaid and Flinks, and decide where our own connector should lead — including how much of the connector business Wealthsimple should be in long term and where it makes more sense to partner.
Public API
- Own the strategy and roadmap for Wealthsimple’s Public API and external data connectivity.
- Make it safe and easy for clients to permission their Wealthsimple financial data to the products and services they choose.
- Define the platform capabilities required for authentication, consent, permissions, data access and partner integrations.
- Identify and prioritize the partners and use cases that matter most to Wealthsimple clients.
- Build toward a world where Wealthsimple is the financial institution where clients have the most control over their financial data.
- Accelerate wealthsimple and our industry toward open banking.
SKILLS YOU BRING
You’re a strong product thinker who can operate across platform infrastructure, external ecosystems and client experience. You likely have:
- Experience owning a platform, API, developer product or integrations platform, with a track record on metric-attached outcomes like conversion, success rate or reliability — not only feature delivery.
- Enough technical depth to work closely with engineers on APIs, authentication, data models, routing and platform architecture.
- Experience delivering through external vendors or partners whose roadmaps you don’t control, including making thoughtful build versus buy decisions and holding vendors accountable for product outcomes.
- Comfort treating reliability as product work — error taxonomies, failure recovery, observability, and the operational load a product creates.
- Experience weighing growth against fraud, risk and compliance, and holding both sides of that tradeoff.
- The ability to turn a collection of technical capabilities into a clear product strategy and compelling long term vision, and to make the case for investing in it.
- Strong analytical instincts and comfort using data to understand reliability, conversion, coverage and product performance, including building the measurement where it doesn’t exist yet.
- Excellent cross functional leadership across Engineering, Design, Security, Legal, Compliance, Operations and external partners.
- A bias toward simplifying complicated systems rather than layering more complexity on top of them.
NICE TO HAVES
- Experience with open banking, Canada’s consumer-driven banking framework, or building to a data sharing standard
- A background in financial data aggregation, whether at an aggregator, a bank, or a fintech consuming one
- Experience shipping a public API or developer platform as a commercial product, including partner onboarding and support
WHAT GREAT LOOKS LIKE
You won’t just operate Bank Linking and ship API endpoints.
You’ll create a coherent connectivity strategy for Wealthsimple: making it easier for clients to bring their financial life to Wealthsimple, easier to move their financial data where they want it to go, easier for any team at Wealthsimple to build on that data, and increasingly less dependent on the slow pace of connectivity innovation from incumbent financial institutions.
You’ll also have made the case for what this platform should become — the metrics, the roadmap and the investment argument that get it there.
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
Affirm is looking for a Senior Staff Software Engineer to take on a critical role in defining and leading technical excellence across core consumer experiences at Affirm, starting with Marketplace and Search. You’ll collaborate with engineering leaders, create and implement technical strategy across full-stack teams, and coordinate closely with stakeholders to build scalable, reliable, and high-performing solutions. You'll help shape best practices, guide architectural choices, and drive the successful delivery of critical initiatives.
This role requires a high level of technical ability, leadership and project management skills, strong cross-functional communication, and a customer-first mindset. You will be responsible for building and developing the technical strategy to unlock large-scale product features, building trust and accountability, and upholding technical excellence for our Marketplace domain within our engineering org.
The Marketplace domain is the main pillar of our core consumer strategy, driving the user journey across the Affirm ecosystem on iOS, Android, and Web platforms. The teams span across multiple products and areas to engage and provide value to our customers, starting with the initial landing page and Search, which expands into the various product offers and journeys a user can embark on with Affirm.
What You'll Do
Lead the vision – Define the technical direction, long-term technical roadmap, and strategic initiatives in Marketplace, Search, Ads Platform, and App Experiences
Work closely with stakeholders across all teams at Affirm to champion and implement technical excellence in conjunction with business results across all consumer facing experiences
Create and influence a strong ownership culture across teams, with high accountability and investment for building for scale and efficiency
Guide and deliver critical user experiences that deliver customer value quickly and reliably
Design, implement, and extend core platform components and functionality to enable new products and features to be built
Architect and contribute to decisions on the right platform, tools, and technologies to support consistency and reliability
Mentor and lead – Guide a strong group of engineers by championing best practices, and helping them grow
What We Look For
10+ years of experience working across the stack, driving architectural improvements in the backend. Bonus points using languages like React Native, Javascript, or Kotlin.
Track record of successfully leading critical projects and leveraging multiple engineering teams across organizational boundaries for company-wide results
Extensive experience developing and implementing technical strategy that drove prominent change in reliability and responsiveness
Previous project management or people management experience: You know how to influence, effectively communicate, and coach others
You embody an ownership mindset and help influence a similar culture to those around you
Collaborative partnership across engineering teams and cross-functional stakeholders
You have a customer-first mindset: wanting to create the best-in-class experience for our customers, and understand how that translates into the right technical decisions
You thrive in the ambiguity, and are comfortable diving into code and systems to understand how they work, potential dependencies, and how to constantly improve
You have strong verbal and written communication skills that can help influence and share critical decisions with stakeholders
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- R
Equity Grade
- 15
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000
USA base pay range (all other U.S. states) per year: $236,000 - $296,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
УдалённоseniorБолгария, Венгрия
УдалённоWe're a tight knit team of ~50 hard working people, spread across Europe and eastern US timezones 🌍️, having an outsized impact on the industry
УдалённоRemote, EU
ГибридSan Francisco
ГибридSan Francisco; London; Austin; Berlin; Seattle; New York City; Toronto
ГибридSan Francisco; London; Austin; Berlin; Seattle; New York City; Toronto
УдалённоSan Francisco, California; United States (Remote)
Los Angeles, USA
УдалённоRemote - United States
УдалённоUnited States; Remote; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
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