Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
- Work closely with founders and design to implement new concepts and ideas
- Build AI-powered functionality into the core of Linear
- Update our realtime collaborative content editor used across all internal surfaces
- Build new user-facing features with beautiful and scalable UI components
- Obsessively improve application performance
- Refine our software development processes to keep the team operating at high velocity
What we're looking for
- 5+ years of experience building customer-facing products at a high-quality software company
- Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL)
- Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product
- Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right
- Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution
- High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped
- Thrives in a remote, async-first environment with a lean, high-output team
- Experience at a startup or a company with a genuinely high engineering bar
Our tech
This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
- Agentic workload system utilizing temporal, operating at production scale
- Proprietary websocket data sync framework built for speed and offline support
- React, MobX, styled-components on the frontend
- Extensive, widely used, GraphQL API and SDK
- Node, Postgres, Temporal, and Redis in the backend
- Hosted on Google Cloud with k8s
- GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- Read Me https://linear.app/readme a story about our mission
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post
- How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team
- Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos.
This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration.
This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You'll Do
Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety.
Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl.
Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs.
Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically.
Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities.
Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences.
What We're Looking For
Deep experience building AI-enabled product systems, not just running experiments.
Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries.
Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods.
Ability to work fluently across backend engineering, product constraints, and user workflow design.
Clear judgment about where agent systems should be flexible and where they should be constrained.
Comfort working in ambiguous environments where patterns are still being invented.
Why This Role Matters
The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team.
#LI-HYBRID #LI-DJ1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$251,835
—
$314,794 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are looking for a
Principal AI Engineer
to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases.
This is a hands-on technical role focused on building
intelligent, autonomous chatbot systems
operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms.
What You’ll Be Doing
Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases.
Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization.
Design multi-level intent routing, classifier training, and fallback strategies.
Building dialogue quality evaluation systems.
Drive automated bad-case discovery, A/B testing, and continuous iteration loops.
Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
What We Look For In You
PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least
10 years of industry experience
.
Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies.
Proven experience deploying
large-scale conversational products
(To Business or To Consumer) in production environments.
Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation.
Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.).
Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks.
Nice to Haves
Experience in top-tier AI labs or Tech industry leaders
Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
OKX Statement
The salary range for this position is
$250,444.00 to $375,666.00.
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-HYBRID#LI-HYBRID
#LI-ED1
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are seeking a
Principal Engineer
with a deep expertise in autonomous AI agent architecture and deployment, to spearhead the design, development, and optimization of intelligent agent systems on our global crypto exchange platform. This is a senior role requiring a hands-on AI science background combined with strategic oversight, technical direction, and cross-functional collaboration.
You will work at the cutting edge of AI and crypto, designing AI agents that can autonomously reason, act, and evolve in complex, real-time environments such as trading, security, compliance, and customer interaction.
What You’ll Be Doing
Lead the design, development, and lifecycle management of autonomous AI agents tailored to crypto exchange operations (e.g., customer assistant, trading bots, risk detection agents, fraud prevention agents, etc.).
Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents.
Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs.
Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization.
Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems.
Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy.
Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
What We Look For In You
10+ years of industry experience in a relevant field, or an equivalent combination of advanced degree (PhD/Master's in Computer Science, AI, Machine Learning, Robotics, or related field) and industry experience.
Proven experience building and deploying
autonomous AI agents
in live environments. Ideal candidates will have:
Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.).
Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making.
Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations.
Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains).
Nice to Haves
Experience in top-tier AI labs or Tech industry leaders
Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
OKX Statement
The salary range for this position is
$250,444.00 to $375,666.00
. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-HYBRID#LI-HYBRID
#LI-ED1
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Задачи:
— Разработка на Go и Rust в рамках распределенных систем и микросервисов.
— Проектирование и внедрение высоконагруженных систем.
— Работа с Docker, Kubernetes, CI/CD.
— Взаимодействие с базами данных PostgreSQL и Redis.
— Взаимодействие с бизнесом и стейкхолдерами.
Требования:
— Глубокие знания Rust и/или Go, опыт создания высоконагруженных систем.
— Опыт контрибьюта в опенсорсные проекты со ссылками на коммиты.
— Уверенное владение Docker, Kubernetes, CI/CD.
— Опыт работы с PostgreSQL, Redis.
— Опыт проектирования распределенных систем, микросервисов.
Условия:
— Оформление по ТК РФ или ИП.
— Удаленная работа.
— Возможность внести значительный вклад в развитие продукта.
Задачи:
— Разрабатывать и поддерживать backend-сервисы
— Участвовать в проектировании микросервисной архитектуры
— Писать unit-тесты
— Работать с интеграциями (gRPC, Kafka)
— Участвовать в код-ревью и технических обсуждениях
Требования:
— Опыт работы Java-разработчиком от 6 лет
— Опыт работы в крупных компаниях (например, ВТБ, Авито, Ozon и др.)
— Обязательный опыт участия в банковских проектах
— Знание Kotlin
— Знание Spring Framework
— Знание Spring Boot
— Знание JUnit
— Знание Hibernate
— Знание Maven
— Знание PostgreSQL
— Знание Redis
— Знание gRPC
— Знание Kafka
— Знание Docker
— Знание GitLab CI/CD или Jenkins
Условия:
— Удаленная работа
— Высоконагруженная среда, микросервисная архитектура
— Строгие требования к качеству кода и архитектурным решениям
— Оформление: ТК, ИП, СЗ
Задачи:
— Разработка собственных сетевых демонов/служб
— Реализация стандартов RFC, IEEE
— Разработка ПО для управления сетевой подсистемой ядра Linux
— Разработка ПО для управления коммутационным чипом
Требования:
— Опыт в роли разработчика C++ от 5 лет
— Хорошее знание C++ (используем 20 стандарт)
— Знание сетевых технологий, стека протоколов TCP/IP
— Отличное знание Linux, опыт разработки приложений под Linux/Unix
— Опыт работы с Docker контейнерами, опыт работы с git
— Знание протоколов статической и динамической маршрутизации, принципов их работы, технологий и протоколов управления сетевыми устройствами (ARP, BGP, BFD, ECMP, EGP, FRR, IGP, LACP, MC-LAG, RSTP, STP, VLAN, VRRP, VXLAN)
— Навыки практического использования инструментов диагностики IP-маршрутизации, исследования IP-пакетов, создания нагрузки на конечных узлах IP сети: ping, traceroute, tcpdump, wireshark, iperf и т.д.
— Практический опыт использования специализированных средств (трафик-генераторов/анализаторов), таких как IXIA (Keysight)/Spirent/Cisco TRex и др.
— Практический опыт работы с одним из программных эмуляторов сетей: VIRL (Virtual Internet Routing Lab), Cisco PT (Cisco Packet Tracer), GNS3 (Graphical Network Simulator-3), EVE-NG (Emulated Virtual Environment Next Generation) или других
Условия:
— Полная удаленная занятость (Full-time)
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking an
AI Infrastructure Engineer
to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable
long-term memory
,
knowledge graph infrastructure
, and robust
context management systems
.
You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems.
What You’ll Be Doing
Architect and implement long-term memory infrastructure for AI agents
, including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning.
Design and own end-to-end GraphRAG and knowledge graph pipelines
, from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems.
Build scalable context management infrastructure
, elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning.
Translate advanced agent research into production-grade systems
, prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability.
Ensure reliability, observability, and governance of agent infrastructure
, including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation.
What We Look For In You
PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least
10 years of industry experience
.
Possess a deep expertise in at least one of the following areas:
long-term memory
,
knowledge graphs
, or
context management
.
Nice to Haves
Experience in top-tier AI labs or Tech industry leaders
Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are looking for a
Principal AI Engineer
to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases.
This is a hands-on technical role focused on building
intelligent, autonomous chatbot systems
operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms.
What You’ll Be Doing
Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases.
Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization.
Design multi-level intent routing, classifier training, and fallback strategies.
Building dialogue quality evaluation systems.
Drive automated bad-case discovery, A/B testing, and continuous iteration loops.
Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
What We Look For In You
PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least
10 years of industry experience
.
Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies.
Proven experience deploying
large-scale conversational products
(To Business or To Consumer) in production environments.
Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation.
Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.).
Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks.
Nice to Haves
Experience in top-tier AI labs or Tech industry leaders
Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's observability and AI observability platforms.
Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality.
Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces.
Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company.
Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.
Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows.
Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution.
We'd love to hear from you if you have:
4+ years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale.
A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team.
Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products.
Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eval workflows.
A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments.
While not required, it’s an added plus if you also have:
Breadth across both classic observability and AI observability, or the curiosity to grow into whichever is newer to you.
Experience creating AI Telemetry-assisted improvement feedback loops for services, in particular for AI products and features.
Experience improving infrastructure efficiency, including cost attribution, forecasting, vendor negotiation, and usage modeling.
A track record designing company-wide observability standards, shared libraries, and agent or operator-based integrations.
Experience applying AI or machine learning to anomaly detection, root cause analysis, or operational automation.
Experience scaling and mentoring high-performing teams through platform expansion or major architectural change.
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$258,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
We're growing our Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations, and to ship AI-powered products that customers rely on directly.
As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, supports, and scales. You’ll also be building things that WorkOS customers use, and systems that the entire company depends on daily.
You'll work on a small, high-ownership team that:
- Chooses problems based on measurable impact
- Moves from idea → prototype → production in days or weeks
- Ships at both layers: internal leverage and customer-facing product
- Adapts quickly as models, tools, and best practices evolve
This is a 0→1 role with company-wide visibility.
What you'll do
- Design and ship customer-facing AI products like ask.workos.com http://ask.workos.com, AI support bots embedded in customer Slack channels, and new surfaces we haven't built yet
- Build internal tools that become part of people's daily work: agents, automations, and workflows that are stable, observable, and easy to maintain
- Work on big bets: a unified bot framework, a sandboxed coding harness agent, and infrastructure that lets the entire company ship
- Use LLMs, embeddings, retrieval, and tool-calling to plug into docs, Slack, GitHub, CRM, analytics, support systems, and internal services
- Replace repetitive, multi-step manual processes with orchestrated, AI-driven flows that span multiple apps and data sources
- Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infrastructure that compound over time
Example problems you might work on
- A sandboxed coding harness that can safely take a bug report or feature spec all the way to a deployed change
- A unified bot framework that powers every AI touchpoint, internal and customer-facing from a single, observable backbone
- A GTM intelligence layer that gives reps live account context, meeting prep, and follow-up from CRM, product usage, and conversation history
- Turning noisy, cross-tool workflows (tickets, Slack threads, docs) into a single agent that handles triage, routing, and suggested actions
- Infrastructure that lets any WorkOS team ship a reliable internal AI app without reinventing the stack
What we're looking for
- You've taken AI-powered systems from idea to production and through at least one iteration cycle with real users
- Strong engineering fundamentals. You're comfortable owning services, data flows, and integrations end-to-end
- Experience building with LLM APIs
- You think about failure modes, observability, and ownership, not just whether the demo works
- Bias toward action. You care less about the model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn't do before
- Comfort with ambiguity and fast change. The problem, the tools, and the "right" patterns are all evolving, you're excited to help define them
Nice to have
- Prior work on customer-facing AI products
- Experience with embeddings, retrieval/RAG architectures, and structured tool-calling or agents
- Exposure to MCP or similar protocols for connecting AI agents to real systems
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Задачи:
— Разработка и поддержка frontend-части продукта
— Интеграция с backend API
— Работа с дизайн-системой / UI Kit
— Разработка и развитие существующего интерфейса
Требования:
— Опыт коммерческой разработки от 2х лет
— Уверенное владение TypeScript и React, желательно Next.js
— Понимание архитектуры frontend-приложений
— Опыт работы с REST API
— Умение поддерживать и развивать собственный UI Kit
— Аккуратность в работе со сложными интерфейсами
Будет плюсом:
— Опыт проектирования UI Kit или дизайн-систем
— Внимание к UX и деталям
— Опыт работы в продуктовой команде
Условия:
— Открыты для оформления по ИП / СЗ
— Работа над интересным продуктом на стадии MVP
— Удаленный формат работы
Location: Remote, AMER
Workplace: Remote
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We’re looking for a Senior Postgres Engineer to join our Postgres Team and help maintain and expand the stability and functionality of our hosted Postgres offering . You’ll work closely with customers, partners, product, engineering, support and success, helping us maintain a secure, stable, performant, and functional Postgres foundation.
This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions.
This role also requires strong working overlap with Americas time zones due to production support and on-call responsibilities.
WHAT YOU'LL OWN:
- Build and maintain PostgreSQL extensions in C and Rust, with a deep understanding of internals — parser, planner, WAL mechanics, and MVCC
- Diagnose and resolve issues in managed PostgreSQL deployments, including custom extension failures, core dump analysis, and performance bottlenecks
- Own idempotent deployment pipelines across thousands of running PostgreSQL instances, including testing and rollout strategies
- Manage complex extension ecosystems — compatibility, upgrade paths, and conflict resolution
- Work with PostgreSQL's background worker framework, shared memory management, and hook system to build reliable, scalable functionality
- Collaborate closely with customers, partners, product, engineering, support, and success teams to maintain a secure, stable, and performant Postgres foundation
WHAT YOU BRING:
- Deep expertise in PostgreSQL internals - query planner, executor, and storage engine mechanics
- Proven experience building PostgreSQL extensions in both C and Rust
- Strong knowledge of PostgreSQL's permission model: RLS, roles, and grant systems
- Experience troubleshooting production issues in managed PostgreSQL environments, including custom extension issues, performance bottlenecks, and resource contention
- Comfortable building, testing, and owning idempotent deployments across thousands of running Postgres instances
- Ability to read and navigate PostgreSQL source code confidently
- Experience with multi-tenant database architectures
- Experience running PostgreSQL at scale
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Компания JETLYN занимается развитием и поддержкой B2B-приложений.
Задачи:
— Развитие и поддержка 5 B2B-приложений.
Требования:
— Высшее техническое образование.
— Опыт от 5 лет в backend-разработке NodeJS или Full-Stack.
— Знание Node.js и Vue (минимальное понимание).
— Опыт работы с PostgreSQL, микросервисами, nginx.
— Опыт работы с Docker, Kubernetes.
— Опыт работы с SQL Server, .Net, GraphQL, Hasura.
— Гражданство РФ.
Условия:
— Оформление по ТК РФ или как ИП.
Задачи:
— Разработка и развитие backend-части продукта на PHP 8;
— Проектирование архитектуры сервисов и баз данных;
— Написание и оптимизация сложных SQL-запросов;
— Обеспечение стабильности и производительности системы;
— Написание автотестов и поддержка качества кода;
— Участие в code review и технических обсуждениях;
— Взаимодействие с frontend-разработчиками и другими backend-инженерами;
— Участие в решении задач, связанных с нагрузкой и масштабированием.
Требования:
— 6+ лет опыта коммерческой разработки на PHP;
— Уверенное владение PHP 8;
— Опыт в igaming/payment solution providers/fintech;
— Глубокое понимание ООП и паттернов проектирования;
— Уверенная работа с MySQL, включая сложные запросы и оптимизацию;
— Опыт проектирования схем баз данных;
— Опыт разработки на Laravel (знание Symfony будет преимуществом);
— Опыт написания unit и integration тестов;
— Опыт работы с Redis;
— Уверенное использование Docker и Git;
— Хорошее понимание Linux, уверенная работа в консоли;
— Базовая настройка и понимание работы nginx.
Будет преимуществом:
— Опыт работы с высоконагруженными системами;
— Опыт проектирования и поддержки масштабируемых сервисов;
— Опыт работы с Golang;
— Понимание принципов отказоустойчивости и мониторинга.
Условия:
— Полностью удалённый формат работы;
— Участие в разработке сложного продуктового решения;
— Выплаты USD/USDT;
— Минимум бюрократии и быстрые процессы.
Задачи:
— Разработка сервисов с применением принципов DDD
— Написание unit тестов
— Сбор и визуализация различных системных метрик
— Участие в код-ревью, контроль качества кода
— Ответственность за архитектурные решения в команде (С3-C4 из С4 model)
Требования:
— Опыт коммерческой разработки на Go от 3-х лет
— Углубленные знания и практический опыт продуктовой разработки на Go: понимание устройства памяти, каналов, конкурентности, сборщика мусора
— Хорошее понимание основных алгоритмов и структур данных
— Опыт работы с реляционными БД (Postgres)
— Понимание принципов REST API
— Опыт с Linux, Docker, CI/CD
— Владение принципами чистого кода и архитектурного проектирования (REST/gRPC, SOLID, DDD)
— Понимание организации обмена данными через брокеры (Kafka)
Условия:
— Полная занятость
— Оформление по ТК РФ
УдалённоseniorГеография найма не уточнена
seniorOakland, California, United States, AMER
San Jose, California, United States
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