Задачи:
— Разработка генеративных ИИ-моделей для синтеза визуального и проектного контента на основе структурированных данных товарного каталога в рамках проверки гипотез (PoC) внутри корпоративной платформы по оценке ИИ-инициатив
— Разработка архитектуры агентов: управление состоянием диалога и контекстом, динамический выбор инструментов (tool calling), настройка уровней автономности и сценариев human-in-the-loop
— Построение системы метрик: разработка офлайн- и онлайн-показателей, кросс-валидация, прямая оценка бизнес-эффекта
— Непрерывный мониторинг дрейфа моделей и качества данных в продакшене
— Построение пайплайнов оценки (LLM Evals): контроль галлюцинаций, релевантности ответов и мониторинг поведения системы
— Обеспечение безопасности: защита от prompt injection, предотвращение утечек персональных данных (PII/privacy) и аудит прав доступа агента
— Оценка стоимости, latency и масштабируемости LLM-решений
Требования:
— Глубокое понимание жизненного цикла ML-модели: от подготовки признаков до интерпретации результатов
— Знание методов борьбы с переобучением, data leakage, регуляризации
— Уверенный выбор алгоритмов под задачу
— Владение матстатистикой для проверки гипотез, расчета доверительных интервалов и самостоятельного дизайна A/B-тестов
— Опыт работы хотя бы в одном из направлений: классическое машинное обучение, временные ряды и прогнозирование
— Языки и библиотеки: Python (pandas/polars, NumPy, scikit-learn, CatBoost/XGBoost/LightGBM, PyTorch), продвинутый SQL
— Написание поддерживаемого production-кода: модульная архитектура, юнит-тесты, логирование, документация, работа с GitFlow и код-ревью
— Практический опыт работы с API языковых моделей, платформой Hugging Face и orchestration-фреймворками
— Опыт работы в e-commerce, retail или других продуктовых highload-системах
— Инфраструктура и оркестрация: Airflow, MLflow, Kafka, Redis, Kubernetes
— Мониторинг и наблюдаемость: Prometheus, Grafana, OpenTelemetry
— Опыт эксплуатации GPU-инфраструктуры и оптимизации inference
— Адаптация моделей через fine-tuning (LoRA/PEFT)
— Опыт проектирования agentic workflows или multi-agent-систем
— Понимание принципов информационной безопасности, privacy и работы с персональными данными
Задачи:
— Разрабатывать backend на Laravel
— Проектировать и описывать отказоустойчивую бизнес-логику на PHP 8.x с использованием возможностей Laravel
— Оркестрировать ИИ через Dify
— Развертывать, конфигурировать и интегрировать Dify (Workflow, Agents, RAG); связывать backend приложения с Dify API
— Проектировать и разрабатывать API
— Создавать чистые, документированные RESTful/gRPC контракты для мобильных и веб-клиентов компании
— Управлять асинхронными процессами
— Оптимизировать тяжелые запросы к LLM через очереди (Laravel Queues/Horizon), настраивать потоковые передачи ответов (Server-Sent Events / Стриминг)
— Проектировать и оптимизировать схемы реляционных баз данных под хранение истории диалогов, контекста, логов и сессий ИИ
— Писать Unit/Feature тесты (Pest/PHPUnit)
— Участвовать в Code Review и поддерживать высокие стандарты кодовой базы
Требования:
— Опыт коммерческой разработки на PHP от 4 лет, из которых не менее 2 лет - активная работа с фреймворком Laravel
— Глубокие знания баз данных и систем кэширования: уверенное владение и глубокое понимание принципов работы Redis и PostgreSQL
— Асинхронное взаимодействие: глубокое понимание принципов асинхронного взаимодействия сложных систем
— Экспертиза в асинхронности
— Глубокое понимание работы очередей, планировщиков задач (Cron) и паттернов обработки долгоживущих соединений
— Уверенные знания SQL
— Опыт оптимизации сложных запросов, индексации таблиц и проектирования архитектуры данных для высоконагруженных систем
— Будет плюсом:
— Наличие опыта интеграции Dify (или аналогичных LLM-оркестраторов вроде Flowise/Langhope) в реальных проектах
— Понимание специфики LLM
— Понимание принципов работы языковых моделей, токенизации, контекстных окон, логики работы эмбеддингов и семантического поиска
Условия:
— Оформление в аккредитованную ИТ-компанию
— График 5/2 с гибким началом
— Формат работы: гибрид или офис (Москва, Краснодар), удалённо из других городов РФ
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Engineering Manager, Production Engineering - Observability
An overview of this role
You'll lead the globally distributed Observability team. The team builds and operates the metrics, logging, alerting, and capacity planning platforms that GitLab engineers use to understand
GitLab.com
and GitLab Dedicated. You'll help determine how the team collects, stores, queries, and acts on telemetry, balancing reliable signals with scale and cost.
In your first year, you'll guide improvements to Prometheus-based metrics pipelines, log ingestion and retention, alerting driven by service-level objectives (SLOs), and capacity forecasting. You'll work with Site Reliability Engineering, Product Engineering, and other Infrastructure Platforms teams to make it easier for engineers to observe the services they own. You'll also take part in incident response and help keep the team's on-call work sustainable.
What you’ll do
Lead, hire, onboard, and develop a distributed engineering team working asynchronously.
Set priorities with Site Reliability Engineering, Product Engineering, and GitLab Dedicated teams, and help the team deliver observability services iteratively.
Own the reliability, scalability, and cost of the team's metrics, logging, alerting, and capacity planning platforms.
Reduce noisy or missing alerts and telemetry gaps, and use SLOs, error budgets, and self-service instrumentation to help engineers maintain the health of their services.
Guide technical decisions about time-series storage, high-cardinality metrics, log pipelines, and distributed tracing.
Participate in the Incident Manager On Call (IMOC) rotation, coordinating the response to high-severity incidents affecting
GitLab.com
.
Keep the team's on-call rotation sustainable through coverage across time zones, useful runbooks, better alerts, and follow-through on post-incident actions.
Use AI tools and agents to support engineering workflows and incident triage, reviewing their output while engineers retain responsibility for decisions.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience leading an observability, platform engineering, or site reliability engineering team operating at scale, including supporting people in a distributed, asynchronous environment.
Technical knowledge of metrics systems such as Prometheus and long-term storage, logging platforms such as Elasticsearch or cloud-native services, and alerting design.
Experience using SLOs, error budgets, and capacity forecasts to make reliability and investment decisions.
Experience operating a large software-as-a-service platform and investigating production issues such as telemetry gaps, ingestion limits, or noisy and missing alerts.
Experience participating in and improving production on-call rotations, including incident coordination and balancing operational load with project work.
The ability to explain technical tradeoffs to engineering partners and other stakeholders.
Experience using AI tools or agents in engineering or management work; you can describe how you would apply them to operational problems such as incident triage.
We welcome different paths into this role, whether through practical experience, formal study, or transferable skills. If the work interests you, please apply even if you don't meet every qualification.
About the team
We're part of Production Engineering within Infrastructure Platforms and work asynchronously across regions. Our tools include Tamland, the capacity forecasting tool. We bring lessons from operating GitLab's production systems back into the platforms we build.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Задачі:
— Вести AI-проєкти від збору вимог до запуску готового рішення
— Аналізувати бізнес-потреби та знаходити можливості для автоматизації
— Створювати рішення з Prompt Engineering, AI Agents, RAG та Generative AI
— Тестувати нові моделі й інструменти, оптимізувати промпти та запускати proof of concept
— Координувати роботу junior-колег, перевіряти результати й ділитися практиками з командою
Требування:
— Близько 2 років практичного досвіду з AI-інструментами, продуктами або рішеннями
— Впевнені навички роботи з Generative AI, LLMs, Prompt Engineering, AI Agents і RAG
— Досвід автоматизації workflow та самостійного ведення проєктів
— Англійська на рівні B2 або вище
— Аналітичне мислення, сильна комунікація та бажання постійно тестувати нові технології
Умови:
— Інноваційні AI-проєкти з помітним впливом на бізнес
— Віддалену роботу або комфортний офіс у Львові
— Свободу експериментувати та допомагати формувати майбутні AI-рішення
— Персональний план розвитку, менторинг і курси англійської та польської мов
— Офіційне працевлаштування, щорічний перегляд винагороди та кар’єрних перспектив
Задачи:
— Разрабатывать и улучшать RAG-приложения: chunking, embeddings, retrieval и reranking.
— Строить LLM-воркфлоу и агентов с использованием LangChain, LangGraph, LlamaIndex, CrewAI или аналогичных.
— Разрабатывать переписывание запросов, классификацию намерений, маршрутизацию и структурированное извлечение.
— Интегрировать LLM API/модели в производственные системы.
— Работать с OpenAI, Gemini, Hugging Face и PyTorch.
— Вносить вклад в SFT, LoRA, QLoRA, PEFT и оценку LLM.
— Работать с OCR, PDF/DOCX, STT и памятью для диалогов.
— Создавать API с Python / FastAPI и работать с Docker, Git, тестированием и CI/CD.
— Мониторить и улучшать качество моделей, задержки и стоимость.
— Брать ответственность за отдельные функции/компоненты под наставничеством старшего инженера.
Требования:
— 2–4 года опыта в NLP / ML / Information Retrieval / Applied AI.
— Сильные навыки Python.
— Практический опыт с LLM / RAG / AI-agent приложениями.
— Понимание трансформеров, embeddings, prompting, retrieval, chunking и reranking.
— Опыт с LangChain / LangGraph / LlamaIndex / CrewAI.
— Опыт с Qdrant / Pinecone / Milvus / Weaviate / Elasticsearch.
— Опыт с OpenAI / Gemini / Hugging Face и знание PyTorch.
— Понимание оценки LLM и снижения галлюцинаций.
— Навыки FastAPI, REST, Docker, Git.
— Многоязычный NLP будет плюсом.
— Профессиональный английский.
Желательно:
— Знания SFT / LoRA / QLoRA / PEFT.
— Знания BM25 / RRF.
— Опыт с RAGAS / DeepEval / LangSmith / Langfuse.
— Опыт с OCR/STT.
— Опыт с Graph RAG.
— Опыт с vLLM/TGI/Triton.
— Оптимизация под GPU.
— Знание корейского языка.
Условия:
— Работа в Инчхоне, Южная Корея.
— Полная занятость.
— Формат работы: офис / гибрид.
— Конкурентная зарплата, обсуждается индивидуально.
— Возможна поддержка с визой и релокацией.
ГибридmiddleЮжная Корея; Visa and relocation support may be available
Location: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from secure and compliant systems to efficient business platforms that keep the company running smoothly. Enterprise Systems improves how Enterprise operates so Rioters can focus on building magic for players instead of navigating broken processes and fragmented systems.
As
Senior Manager, Enterprise Engineering & Process Excellence
, you will lead two horizontal capabilities that the rest of Enterprise Systems depends on: Enterprise Software Engineering, which designs, builds, and operates new technical capabilities for Enterprise, and Business Process Excellence, which assesses, redesigns, instruments, and continuously improves enterprise processes. The portfolio includes custom applications, the company directory and organizational data APIs, and integrations with business systems.
You will manage a multidisciplinary team of software engineers and business systems analysts. This is not a traditional enterprise systems role.
We are building a function that reimagines enterprise engineering and process excellence for an AI-enabled organization. We use process mining and telemetry to continuously improve how work gets done, integration and automation with AI to reduce manual effort, and purpose-built applications to create capabilities that differentiate Riot
. You will connect what the business needs, how processes should work, and how technology can deliver improvements.
You will partner closely with leaders across People Tech, Finance Tech, and Enterprise Data & AI, as well as business stakeholders in Enterprise functions.
The role reports to the Director, Enterprise Systems.
Responsibilities:
Software Engineering
Set the strategy and technical direction for enterprise software engineering, integration, and automation.
Lead the design, development, and operation of reliable applications, APIs, integrations, and automations that support critical enterprise capabilities.
Establish strong engineering practices across architecture, testing, CI/CD, observability, security, reliability, and production support.
Develop the Integration & Automation Center of Excellence through reusable patterns, shared platforms, governance, and enablement across Enterprise Systems.
Business Process Excellence
Build and lead a modern process excellence practice that uses process mining, telemetry, and AI-enabled tools to identify, prioritize, and measure improvement opportunities.
Lead the redesign of complex, cross-functional enterprise processes, translating business needs into clear requirements and scalable solutions.
Establish practical standards for process ownership, governance, measurement, and continuous improvement.
Partner with business and technology leaders to deliver measurable improvements in cycle time, quality, automation, and Rioter experience.
People Leadership, Delivery & Partner Management
Build and develop a multidisciplinary team of software engineers and business systems analysts, creating shared accountability from process discovery through production delivery.
Manage priorities, delivery, and external partners across the portfolio, communicating outcomes, risks, and trade-offs clearly to business and technology leaders.
Required Qualifications:
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field, or equivalent practical experience delivering enterprise technology solutions.
12+ years of progressive experience across software engineering, enterprise platforms, process excellence, or technology-enabled transformation.
8+ years of experience managing software engineers, business systems analysts, or multidisciplinary technical teams.
Experience owning the technical quality, architecture, and operational health of a portfolio of enterprise applications, APIs, and platforms, and designing new software capabilities that solve business and process problems.
Strong understanding of modern software engineering practices, including code review, automated testing, CI/CD, observability, security, reliability, and production operations.
Experience with cloud/data platforms such as AWS, GCP or Databricks; programming languages such as Go, or TypeScript; and modern application frameworks such as Next.js.
Proven experience in business process assessment, redesign, modeling, governance, and continuous improvement.
Experience using process data, telemetry, process mining, or operational analytics to identify opportunities and measure improvements.
Experience managing complex, cross-functional projects or portfolios involving business, engineering, data, and operational stakeholders.
Strong written and verbal communication skills, including the ability to explain technical and process concepts to business, technical, and executive audiences.
Desired Qualifications:
Experience applying AI or agentic AI tools to enterprise process problems: process discovery, requirements generation, intelligent automation, or AI-augmented decision-making.
Experience with process excellence methodologies such as Lean or Six Sigma and process mining, intelligence, or modeling tools such as Celonis, ARIS, Signavio, or UiPath, to drive data-informed process improvement.
Experience with enterprise integration and automation IPaaS platforms such as Workato, MuleSoft, Boomi, or similar technologies.
PMP, PgMP, or equivalent project management certification, or demonstrated equivalent experience running a delivery function.
Familiarity with major enterprise SaaS platforms, and their integration ecosystems.
Experience building or scaling a Center of Excellence or Community of Practice around integration, automation, or process standards.
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: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Singapore
About the Role
We are hiring for a Senior Talent Acquisition Business Partner
to join our APAC team. In this role, you will act as a talent advisor and go-to-market specialist, driving the expansion of hiring across the region. You will operate autonomously, utilizing your deep market expertise, AI-driven strategies, and extensive network to hire top-tier talent for Cloudflare across the region.
Responsibilities
End-to-End Recruitment & Talent Strategy:
Build and execute comprehensive talent strategies to help hiring leaders build high-performing teams
Proactive Pipeline & Passive Candidate Outreach:
Draw upon an extensive network using a variety of sourcing channels and industry contacts to build proactive pipeline strategies for a variety of roles
Stakeholder Management & Advising:
Build and maintain solid relationships with executive leadership and cross-functional stakeholders, including Finance, HRBPs and compensation teams.
AI-Agent Integration & Process Optimization:
Partner with internal automated AI agents and generative tools to eliminate legacy manual tasks, optimize administrative outreach workflows at scale, and synthesize complex market data to inform regional talent strategies.
Data Utilization & Analytics:
Leverage foundational data layers and recruitment analytics to inform talent strategies, actively analyzing metrics such as time-to-hire and source efficiency to drive optimal operational decisions.
Desirable Skills, Knowledge, and Experience
Strategic Problem Solving:
Ability to operate two "plays" ahead, anticipating potential bottlenecks before they materialize, and resolving complex organizational issues with high autonomy.
Negotiation & Closing Skills:
Effective negotiation capabilities to secure top-tier candidates, driven by a deep understanding of Cloudflare's unique value propositions.
AI & Ecosystem Proficiency:
Demonstrated capability to leverage automated workflows, AI-powered sourcing environments, and LLMs for complex boolean logic, market mapping, and productivity multiplication.
Candidate Experience Focus:
Strong organizational skills to eliminate operational friction, ensuring clear communication and proactive engagement throughout the interview lifecycle.
Communication & Feedback:
Exceptional written and verbal communication skills with the ability to influence and advise senior stakeholders across the region.
Adaptability & Self-Direction:
Comfort thriving in ever-changing environments, taking complete responsibility for outcomes while seamlessly navigating an evolving technological and organizational landscape.
Compensation
Compensation may be adjusted depending on work location.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re looking for a Principal Brand Designer to define the brand design system that takes Ramp into new futures. You’ll turn our strategy into design, lead our most important brand projects, and help the team do its best work.
This is a leadership individual contributor role. You can take any idea from zero to one. You understand the business fundamentals, the product value, the channels that perform best, and you know where brand design amplifies and improves the work. You understand each XFN’s accountability and outcomes, from product, marketing, GTM, growth and beyond. You can speak their language.
WHAT YOU'LL DO
- Set creative direction. Turn business goals and audience insights into clear ideas for the brand.
- Lead company-defining projects. Take campaigns, launches, and other brand experiences from an open question to finished work.
- Set the bar for quality and taste. You are the go-to expert for typography, imagery, layout, and brand design. You are the champion for this standard.
- Build the brand system. Evolve our visual identity over time. We believe in coherency over consistency. We built our brand system to behave like jazz.
- Connect brand and product. Work with product, marketing, and engineering so the company feels coherent wherever people experience it.
- Raise the quality of the team’s work. You are a player-coach that can mentor others and develop a culture of collaboration, creativity, and trust.
- Tell stories to drive alignment. Help partners understand the thinking, agree on a direction, and make practical choices about scope and timing.
WHAT MAKES YOU STAND OUT
- You’re already using AI tooling and agents to explore faster, iterate sooner, and develop ideas that you couldn’t before.
- You have both agency and in-house experience.
- You have side hobbies exploring design and creativity. We want to see side projects that show a desire for learning, a student-like mindset, and above all, enthusiasm for where the future is headed.
- You’re humble, thoughtful, and self-aware.
- Your portfolio reveals a story about how you’ve grown as a person, your interests, and curiosities.
- You understand that execution is how good ideas win.
WHAT YOU’LL BRING
- A deep portfolio of brand identities, marketing campaigns, bringing brand into product experiences, and digital applications, with a clear explanation of your contribution.
- Excellent design fundamentals and the ability to carry an idea through to finished work.
- Experience leading complex projects independently and making good decisions when the brief is still taking shape.
- The ability to negotiate, compromise, or understand trade-offs with executives and XFN partners.
- The ability to connect creative choices to the audience, the product, and the business.
- A record of helping other designers improve and working well with people across disciplines.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Alpaca is already the infrastructure layer that hundreds of partners build on for execution. Nobody else is both the execution layer and the data layer - and that makes us the natural one-stop shop for brokerage plus market data. We're hiring a Lead Product Manager to own that second half: define and grow Alpaca's market data business as a standalone, revenue-generating product line.
We're seeking a Lead Product Manager, Market Data to define and own Alpaca's market data strategy - both as a capability that powers our platform and as a standalone, revenue-generating product line.
This role is equal parts strategy and delivery. You'll decide what data we source, how we package and price it, what we build versus buy - and then ship the APIs, feeds, and tooling that partners and internal teams depend on every day.
What You'll Walk Into
You won't be starting from zero - you'll be owning live problems:
Multiple new exchange onboardings in flight, each with its own licensing, entitlement, and redistribution constraints.
A pricing and packaging model that needs rethinking as we expand across asset classes and geographies.
Partners asking for data we don't serve yet - consolidated feeds, historical datasets, derived analytics - you'll be building those requests against cost and commercial upside.
Internal teams (trading, algo routing, compliance, clearing) consuming market data with no product owner ensuring coverage keeps pace.
Things You Get To Do
Negotiate or inform negotiations on exchange licensing, redistribution rights, and entitlements as Alpaca onboards new exchanges and asset classes - you'll talk to vendors and global venues directly.
Assess build-vs-buy for data infrastructure: where do we source from third parties, where do we invest in proprietary collection and normalization, and where do we create derived or value-added data products.
Build the commercial model: define pricing and packaging (real-time vs. delayed, depth-of-book tiers, historical datasets, derived analytics) and work with sales to grow market data revenue.
Own the competitive position: understand how dedicated market data providers price and differentiate, and identify where Alpaca's bundled brokerage-plus-data model creates a defensible edge.
Own the developer experience for market data APIs (REST, WebSocket/SSE, historical endpoints) - coverage, latency, reliability, and documentation that developers actually want to read.
Lead partner discovery: understand what data capabilities are table-stakes vs. differentiating for neobrokers, RIAs, hedge funds, and crypto exchanges, and turn that into prioritization.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
We're looking for a Staff Data Scientist, Growth to define and own how Alpaca measures and grows across the entire customer journey—from acquisition and activation to retention and monetization. As the most senior individual contributor for growth data, you'll set the technical direction and the North Star for growth, stand up the experimentation and metrics platform the company builds on, and work through Product, Marketing, Sales, and Engineering to decide what moves the needle. This is a greenfield charter: you'll define the problems worth solving, not just execute a roadmap.
This role is ideal for someone who thinks in funnels, loops, and cohorts, loves experimentation and causal inference, and wants meaningful ownership over how data drives growth at a fast-growing, global brokerage-infrastructure company. You'll connect product behavior, marketing spend, and lifecycle engagement into a coherent growth model—and, as we build a more agentic Alpaca, help make growth analytics self-serve for the whole company.
What You'll Do
Own the growth funnel end-to-end.
Analyze acquisition, activation, retention, referral, and monetization across the full user journey; find and size the highest-leverage opportunities to grow the business.
Run the growth experimentation engine.
Design and execute A/B tests and causal/incrementality studies on onboarding, activation nudges, funding conversion, pricing, lifecycle/CRM campaigns, and referral loops—building the guardrails, metrics, and self-serve tooling that let teams experiment with rigor and velocity.
Model growth.
Build retention/cohort analyses, churn and LTV models, CAC/payback and unit-economics views, and forecasts of core growth metrics; identify the compounding levers and growth loops worth investing in.
Measure what marketing and partnerships actually drive.
Use attribution, incrementality testing, and channel/marketing-mix analysis to guide acquisition spend, CAC, and payback.
Define the growth metrics that matter.
Define and maintain activation, retention, engagement, and monetization metrics and a clear North Star; partner with analytics engineering to build governed, scalable metrics and dashboards teams rely on daily.
Embed cross-functionally.
Partner closely with Product, Marketing, Sales, Engineering, and Finance to shape strategy and turn insight into roadmap, campaigns, and go-to-market decisions.
Turn data into narrative.
Create compelling visualizations and narratives to communicate growth insights and recommendations to cross-functional partners and senior leadership.
Enable self-serve and agentic analytics.
Help operationalize growth analytics—moving ad-hoc requests into intuitive self-serve environments and contributing to text-to-analytics on top of our semantic layer.
Mentor and set standards.
Mentor other data scientists and analysts, contribute to best practices, and help foster a data-informed growth culture across the organization.
What We're Looking For
Proven expertise in growth and/or product analytics and data science, with a strong background in statistical analysis and experimentation.
Hands-on experience with growth/funnel analytics—acquisition, activation, retention/churn, LTV/CAC, cohort analysis, and lifecycle/CRM analytics.
Experience designing and building experimentation tooling and frameworks for trustworthy A/B tests and causal-inference / incrementality analyses.
Familiarity with marketing measurement—attribution, incrementality, or marketing-mix modeling—a strong plus.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Utah | Hybrid
Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.
AI at BambooHR
At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR!
Essential Job Duties
BambooHR is rebuilding its Security Operations function around AI. We are not adding AI tooling to an existing SOC - we are redesigning how the work happens, so that automation and AI agents carry the volume and our people carry the judgment. We are looking for a manager to lead that team and own that transformation.
You will lead a team spanning detection engineering, threat intelligence and hunting, and incident response. Day to day, you will run a live operation: incidents, detections, hunts, on-call coverage, service-provider relationships, and the operational metrics that leadership works from. Running alongside that operation is the change itself — automating triage and enrichment so analysts stop working queues, building detection content we write, tune and own, and standing up threat intelligence as a program that produces detections and hunt hypotheses rather than reports that have no clear actionable insights.
The reason this role exists now is that the surface a security team defends is changing shape. As HR technology becomes more AI-driven and more agentic, autonomous software acts with real authority, machine identities multiply, and attacks accelerate. That surface grows faster than any security team can hire against, which is why we staff for judgment and build automation for volume. This role sits at the center of that decision - and the person in it will spend a meaningful part of their time deciding, in writing, how much authority automated systems are allowed to hold.
You will:
Supervisory Responsibilities
Leads and grows a team of security analysts, detection engineers, and threat intelligence practitioners.
Recruits, interviews, hires, onboards and retains technical security talent in a competitive market.
Oversees the daily workflow of the team: shift coverage, on-call rotation, incident assignment, and detection backlog priority.
Provides constructive and timely performance evaluations, and builds development plans against the skills an AI-native SOC actually requires: detection-as-code, agent supervision, and intelligence tradecraft.
Supports career growth and internal mobility across the broader security organization, treating it as a retention strategy rather than a loss.
Handles discipline and termination of employees in accordance with company policy.
Run the operation
Own daily security operations end to end - alert handling, shift coverage, on-call rotation, escalation quality, and detection backlog priority and rule retirement.
Serve as incident commander for the majority of security incidents, and partner with the VP of Information Security on the most severe incidents and on executive communication.
Manage security service-provider relationships, including service reviews, escalation quality, and tuning direction.
Publish a regular operational metrics pack that the team and executive leadership both work from.
Automate the volume, not the analyst
Build and enforce an automated incident runbook program covering the incident types behind the majority of alert volume.
Drive the automation of Tier-1 triage and a growing share of Tier-2 workflows, so routine work resolves without a human touching it and escalations arrive as an assembled case with clear timeline, scope, and blast radius, rather than a raw alert.
Redirect reclaimed capacity upward rather than out of the team - into deeper investigation, detection engineering, and threat intelligence.
Own the detections
Run detection engineering as a product: a prioritized backlog including rules in version control with CI validation, and a full lifecycle of write, test, deploy, measure and retire.
Build in-house detection capability against our own security telemetry, so detection content is something we write, tune and can explain to an engineer, an auditor or a customer.
Build threat intelligence and hunting into programs
Stand up a formal threat intelligence program: approved intelligence requirements, a collection plan mapped to real sources, and a threat model grounded in the risks that actually apply to employee and payroll data.
Ensure every finished intelligence product ends in a detection, a hunt hypothesis, or a control change.
Run a hypothesis-driven hunting program on a regular cadence, and make intelligence genuinely useful to teams outside the SOC.
Build the AI-native SOC
Lead the team through the shift from AI-assisted work (where agents draft and humans approve) to delegated work (where agents act inside explicit, written authority boundaries).
Protect what stays human - adversary reasoning, incident command when consequences are real, disclosure decisions, and the calls that should not be delegated to a machine.
Build detection and response coverage for AI-era threats: prompt injection and tool abuse, autonomous software operating with real authority, and machine identity at scale.
Partner across security engineering, product security, identity and access management, and governance and risk on shared platforms, shared threats, and shared audit obligations.
What You Need to Get the Job Done
5+ years in security operations, incident response, or detection engineering, including 2+ years directly managing a team of security analysts or detection engineers.
Experience running a SOC or detection function at a SaaS or cloud-native company, ideally one with a multi-tenant product and a live compliance calendar (SOC 2 and/or ISO 27001).
Hands-on detection engineering credibility. You have personally written, tested, tuned and retired detections, and you are comfortable treating detection content as code in version control with CI validation.
Experience owning a managed detection relationship (MDR or MSSP).
Direct experience automating SOC workflows through SOAR, runbook automation, or LLM- and agent-based triage and enrichment. You can speak concretely about what was automated, what the false-negative rate was, and how you measured it.
Working fluency with modern security data platforms — data lake or lakehouse architectures — and comfort querying telemetry directly rather than only through a vendor console.
Incident command experience under real pressure, including executive and cross-functional communication during an active incident.
Strong people leadership: hiring, coaching, performance management, and the judgment to lead a technical team through significant change honestly rather than through reassurance.
Excellent written communication. This role publishes runbooks, authority boundaries, intelligence requirements, and metrics that executives read.
Excellent prioritization, and the ability to say no with a reason. The defended surface grows faster than any team does, and protecting your team from over-commitment is part of the job.
Comfort working in an AI-forward environment where agents write and test code, participate in design review, and run triage.
Ability to function well in a high-paced and at times stressful environment, including on-call escalation.
Bachelor's degree in Computer Science, Information Security, or a related field - or equivalent practical experience. Practical experience is weighted more heavily than the degree.
At least five years of related security operations experience required.
Physical requirements can include prolonged periods of sitting at a desk and working on a computer.
Must be available for on-call escalation and to lead incident response outside standard business hours when incident severity requires it.
What Will Make Us REALLY Love You
Experience securing AI or agentic systems - prompt injection, tool abuse, and third-party or autonomous code holding execution authority.
Prior experience standing up a threat intelligence program from zero: intelligence requirements, collection planning, intel-to-detection pipeline, and adversary emulation.
Experience transitioning detection capability in-house from a managed provider.
Experience with non-human identity at scale - service accounts, workload identity, machine credentials - and its detection implications.
Background in HR, payroll, or fintech SaaS, or other environments where employee data and payment fraud are primary adversary objectives.
Experience with cyber resilience practice: backup immutability verification, recovery drills, and recovery-time objectives measured against contractual commitments.
Experience building or supervising LLM agents in production, including evaluation, guardrail design, and human-in-the-loop review patterns.
Public contribution to the detection engineering or threat intelligence community - detection rules, open-source tooling, conference talks, or published research.
Security certifications (GCIA, GCIH, GCFA, GDAT, GCTI, OSCP, CISSP) preferred, not required.
What You'll Love About Us
A
Great Company Culture
that has been recognized by multiple organizations like
Inc
, and
Salt Lake Tribune
Comprehensive health, life, and disability insurance
Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
401k plans with up to 6% company match
$2000 Paid-Paid Vacation bonus
EAP through Headspace
Check out all our
benefits that benefit you
About Us
At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective.
We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.
What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.
BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know.
BambooHR is An Equal Opportunity Employer--M/F/D/V
Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.
For information on California Privacy Policy,
click here
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Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our
General Privacy Notice
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See our
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for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.
Location: Remote | North America or Europe
Workplace: Remote
ABOUT SQUADS
Squads is a financial technology company building products and APIs for the stablecoin economy. We build on open infrastructure, global money, and internet capital markets to deliver better financial services to businesses, individuals, and developers.
Our products span the company’s mission: Squads Multisig helps teams secure and manage assets on Solana; Altitude gives businesses a global account to run their financial operations; and Fuse brings stablecoins and tokenized assets to personal finance.
More than 450 teams use Squads Multisig to secure over $10 billion in value. Our investors include Haun Ventures, Multicoin Capital, Electric Capital, Coinbase Ventures, Toly, Mert, and others.
THE ROLE
You’ll own identity and endpoint security across Squads, working closely with our Head of Security. That means making sure the right people have the right access, company devices meet a consistent security baseline, and new tools can be adopted with a clear understanding of their risks.
This is a hands-on role. You’ll run the day-to-day systems, respond when something looks wrong, and build the access reviews, standards, and processes we’ll need as the company grows. We’re looking for someone who thinks like an attacker, makes sound calls under pressure, and can help the team move quickly while keeping the bar high.
WHAT YOU’LL OWN
IDENTITY & ACCESS
- Administer our identity provider and SSO, enforce MFA and phishing-resistant authentication, and improve how access is granted and removed
- Build periodic access reviews and apply least privilege across critical systems
- Manage access provisioning and offboarding for employees and contractors
ENDPOINTS & IT OPERATIONS
- Own MDM and EDR coverage across the device fleet, with clear configuration standards and security baselines
- Handle device provisioning, access requests, and the IT work that keeps the team operating securely
- Automate repetitive security and IT workflows where it improves coverage or reduces manual work
RISK & RESPONSE
- Partner with the Head of Security on vendor risk assessments
- Assess new SaaS tools and AI integrations before adoption, and give teams practical guidance on how to use them safely
- Act as a first responder for identity and endpoint incidents: investigate, contain, document, and escalate when needed
- Help define and maintain security policies as the program matures
YOU MIGHT BE RIGHT FOR THIS IF
- You’ve owned identity and endpoint systems in practice, including the messy work of getting coverage and adoption across a team
- You spot how an attacker could use a weak access path, unmanaged device, or new integration before it becomes an incident
- You can distinguish a real risk from a theoretical one and explain your recommendation clearly
- You’ve responded to incidents and can stay calm, gather facts, and make the next call under pressure
- You write guidance that non-technical teammates can follow
- You’ve helped build a security function early, when the process and tooling still needed to be defined
- You’re comfortable handling an access request or laptop issue one hour and improving a company-wide control the next
REQUIREMENTS
- Hands-on experience operating an enterprise identity platform, including SSO, MFA, and access policies
- Experience managing MDM and EDR tooling across a device fleet
- Experience responding to security incidents, compromises, or suspected breaches
- Ability to assess vendor and integration risk, including risks introduced by AI tools
- Scripting ability in Python or Bash for automation and basic tooling
- Strong written communication and the judgment to work independently
- Experience with blockchain or Web3 threats, cloud security, SIEM and detection engineering, or AI agents used in security operations is a plus.
WHY THIS MIGHT BE INTERESTING
Squads builds financial products for businesses, individuals, and developers on new money rails. The security work spans all of them. You’ll have ownership over the systems people use every day, a direct hand in how the company adopts new tools, and the chance to build controls that scale with the business.
You’ll work closely with the Head of Security in a small team where good judgment has an immediate effect. If you like building the security program while also operating it, you’ll have room to do both here.
Small team, high standards. Learn more about our core values here https://squads.xyz/company.
Location: Palo Alto, California, United States, San Francisco, California, United States
Director of Engineering, Clinical AI & Care Delivery
Location:
San Francisco Bay Area | Hybrid, 2 days/week in our San Francisco or Palo Alto office
About Midi Health:
Midi Health is transforming healthcare for women in midlife, delivering expert, personalized care through a virtual-first platform built around the needs of women in perimenopause and menopause.
Technology is central not only to the patient experience, but to how our clinicians deliver exceptional care at scale. We believe AI will fundamentally reshape care delivery — reducing administrative burden, improving clinical workflows, and giving providers better tools to focus their time where it matters most: with patients.
The Role:
We’re looking for a Director of Engineering, Clinical AI & Care Delivery to lead the engineering teams behind the systems and tools that power Midi’s clinicians, medical assistants, and care workflows.
This is a true player-coach role at the intersection of AI, healthcare, and software engineering. You’ll lead and develop a high-performing engineering team while staying close to the technology — shaping architecture, reviewing code, experimenting with AI and agentic systems, and helping your team solve complex problems.
You’ll also be a senior engineering partner to Product, Clinical, Operations, Data Science, and other leaders across Midi. We expect our engineering leaders to think beyond their immediate teams and help shape how technology and AI can transform care delivery as Midi scales.
What You’ll Own:
Lead the engineering roadmap and execution for Midi’s clinician-facing tools, care delivery systems, clinical workflows, and AI-powered automation.
Identify opportunities to use AI and agentic systems to automate workflows, augment clinicians, and improve the efficiency and quality of care delivery.
Build and lead high-performing engineering teams with a culture of ownership, accountability, speed, and high technical standards.
Stay hands-on through architecture decisions, code reviews, prototyping, and AI-assisted development.
Partner closely with Product, Clinical, Operations, and Data Science to translate complex care delivery problems into scalable technical solutions.
Drive engineering quality, velocity, reliability, and operational health across your area.
Hire, mentor, and develop engineers and engineering leaders as the organization grows.
Collaborate with engineering leaders across Midi on architecture, technical strategy, and company-wide engineering priorities.
Help define how Midi uses AI and modern development tools to fundamentally rethink how healthcare is delivered.
What We’re Looking For:
Deep software engineering foundation.
You’ve spent meaningful time as a senior individual contributor building sophisticated applications and systems.
Proven engineering leadership.
You have 5+ years of engineering management experience and have led organizations of 10+ engineers.
Player-coach mindset.
You’re comfortable operating at the leadership level while remaining technically credible and close enough to the work to help your team make better decisions.
Applied AI experience.
You’ve recently used AI coding agents or AI/LLM technologies to build something meaningful and have a practical understanding of what these technologies can — and cannot — do.
Strong systems thinking.
You can take complex, multi-step human workflows and think creatively about how technology and AI can make them dramatically better.
Executive-level communication and judgment.
You can confidently partner with senior technical, clinical, and operational leaders and communicate complex tradeoffs clearly.
Exceptional cross-functional instincts.
You naturally build trust with stakeholders who may approach problems very differently from an engineer.
First-principles thinking.
You ask the right questions, communicate clearly, and align early rather than building in isolation.
Strong ownership mindset.
You close loops, take accountability for outcomes, and step into problems rather than waiting for someone else to solve them.
Nice to Have:
Experience with AI/ML engineering, LLM-powered products, agentic systems, or workflow automation.
Experience building internal tools or software for complex operational users.
Experience with Python, Django, React, and AWS.
Experience in healthcare or another highly regulated environment.
Familiarity with EHRs such as Athenahealth, clinical workflows, or HIPAA-regulated systems.
Experience building AI products where accuracy, reliability, human oversight, and trust are critical.
Why Midi:
This is an opportunity to work at the frontier of AI and healthcare while solving very real problems for clinicians and patients today.
You’ll help determine how Midi uses technology to scale exceptional care — from automating repetitive workflows to building entirely new ways for clinicians and AI to work together.
If you’re excited about building exceptional engineering teams, staying close to the technology, and applying AI to some of healthcare’s hardest operational problems, we’d love to hear from you.
At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $230,000-325,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,
We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.
#li-JA1
At this time, Midi is unable to provide visa sponsorship.
All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an
@joinmidi.com
email address. We will
never
ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at
careers@joinmidi.com
.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our
CCPA Privacy Notice for California Candidates
here
.
Location: Palo Alto, California, United States, San Francisco, California, United States
Director of Engineering, Growth & Consumer
Location:
San Francisco Bay Area | Hybrid, 2 days/week in our San Francisco OR Palo Alto office
About Midi Health:
Midi Health is transforming healthcare for women in midlife, delivering expert, personalized care through a virtual-first platform built around the needs of women in perimenopause and menopause.
We’re growing quickly, and technology is at the center of how we reach more patients, create an exceptional care experience, and scale access to high-quality care nationwide. We’re looking for leaders who are excited to build at that intersection of healthcare, technology, and consumer experience.
The Role:
We’re looking for a Director of Engineering, Growth & Consumer to lead the engineering teams behind Midi’s patient experience — from the moment someone first discovers Midi through registration, onboarding, booking, and ongoing engagement with their care.
This is a true player-coach role. You’ll lead and develop a high-performing engineering team while staying close to the technology: shaping architecture, reviewing code, using AI coding tools, and helping your team solve hard problems.
You’ll also be a senior engineering partner to Product, Marketing, Design, Data Science, and Clinical leaders. We expect our engineering leaders to think beyond their immediate teams, contribute to company-wide technical decisions, and help shape how we build as Midi scales.
What You’ll Own:
Lead the engineering roadmap and execution for Midi’s consumer and growth experiences, including registration, onboarding, appointment booking, patient engagement, prescription and supplement commerce, and growth loops.
Build and lead high-performing engineering teams with a culture of ownership, accountability, speed, and high technical standards.
Stay hands-on with the technology through architecture decisions, code reviews, prototyping, and AI-assisted development.
Partner closely with Product, Marketing, Design, and Data Science to translate business and patient needs into scalable technical solutions.
Drive engineering quality, velocity, reliability, and operational health across your area.
Hire, mentor, and develop engineers and engineering leaders as the organization grows.
Collaborate with engineering leaders across Midi to make thoughtful decisions for the broader technology organization — not just your individual area.
Help define how Midi uses AI and modern development tools to fundamentally improve how software is built.
What We’re Looking For:
Deep software engineering foundation.
You’ve spent meaningful time as a senior individual contributor building sophisticated applications and consumer-facing experiences.
Proven engineering leadership.
You have 5+ years of engineering management experience and have led organizations of 10+ engineers.
Player-coach mindset.
You’re comfortable operating at the leadership level while remaining technically credible and close enough to the work to help your team make better decisions.
Strong product and consumer instincts.
You understand that great engineering isn’t just about technical elegance — it’s about building experiences that drive meaningful outcomes for users and the business.
Executive-level communication and judgment.
You can confidently partner with senior leaders, navigate ambiguity, influence direction, and communicate technical tradeoffs clearly.
Exceptional cross-functional instincts.
You naturally build trust with Product, Design, Marketing, Data Science, and other non-engineering partners.
AI-native approach to engineering.
You’ve recently built or shipped something meaningful using AI coding agents and have a practical understanding of how AI is changing what engineering teams can accomplish.
First-principles thinking.
You ask the right questions, communicate clearly, and align early rather than building in isolation.
Strong ownership mindset.
You close loops, take accountability for outcomes, and step into problems rather than waiting for someone else to solve them.
Nice to Have:
Experience leading Growth Engineering, Consumer Engineering, Martech, or digital commerce teams.
Experience building high-scale consumer products where conversion, engagement, retention, or experimentation are core to the business.
Experience with Python, Django, React, and AWS.
Experience working in healthcare, fintech, or another regulated environment.
Experience building experimentation platforms, personalization systems, or AI-powered consumer experiences.
Why Midi:
This is an opportunity to build technology that directly impacts how women access healthcare — at a company experiencing significant growth and still early enough that engineering leaders can have an outsized impact.
You’ll have the opportunity to shape not only the products patients use, but also how Midi’s engineering organization operates, scales, and takes advantage of a rapidly changing technology landscape.
If you’re energized by building consumer experiences, developing exceptional engineering teams, and rethinking what’s possible with AI-native software development, we’d love to hear from you.
At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $230,000-325,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,
We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.
#li-JA1
At this time, Midi is unable to provide visa sponsorship.
All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an
@joinmidi.com
email address. We will
never
ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at
careers@joinmidi.com
.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our
CCPA Privacy Notice for California Candidates
here
.
Location: Hybrid - SF Bay Area
Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday
Job Type: Full-time W2
About Midi Health
Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care.
How We Work
Hybrid by design.
Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely.
AI-native engineering.
We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software.
Low-ego, high-curiosity.
We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth.
Outcome-oriented.
We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands.
The Difference You Will Make
AI is reshaping how clinical care is delivered, and Midi is building the products at the frontier of that shift. You'll build AI-powered features and systems that genuinely change clinician and patient experience — from clinical workflow automation to patient-facing assistants to back-office intelligence — grounded in the realities of healthcare-grade safety and evaluation.
What You Will Do
Design, build, and ship LLM-powered features end-to-end: prompt design, retrieval, tool use, agents, evaluation, and production operations
Build the evaluation harnesses and feedback loops that let us ship AI features responsibly
Integrate AI capabilities deeply into patient, clinician, and operational workflows
Partner with clinical, product, and safety stakeholders to define what "good" looks like
Contribute to our internal AI-for-engineering practices and tooling
Stay close to the research and ecosystem; bring the best of it back to the team
About You
6+ years of software engineering experience, with meaningful recent time building production LLM / ML features
Strong hands-on coding skills in Python; comfortable across the full stack when the feature demands it
Seasoned at system design for AI systems: retrieval, orchestration, caching, evaluation, cost and latency tradeoffs
Deep, hands-on command of modern AI coding tools — you're a strong follower of the frontier and apply new techniques quickly
Good mentorship instincts; generous with what you learn
Rigorous about evaluation and safety; allergic to vibes-only launches
Strong communicator; comfortable explaining model behavior to non-technical stakeholders
Low-ego, curious, humble
Nice to Have
Experience with healthcare, clinical NLP, or regulated AI deployments
Experience building agentic systems or production RAG at scale
Interview Process
Recruiter Screen (30 min)
Hiring Manager Screen (45 min)
Live Technical Assessment (3 sessions: 150 min)
On-Site Interview and Lunch (4 sessions: 150 min)
While you are waiting for us to review your resume, here is some fun content to check out.
Midi 2024 in Review
Women Leaders Invest in Midi
Patient Testimonials
At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is
$170,000-$210,000
per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,
We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.
#li-ps1
At this time, Midi is unable to provide visa sponsorship.
All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an
@joinmidi.com
email address. We will
never
ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at
careers@joinmidi.com
.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our
CCPA Privacy Notice for California Candidates
here
.
Location: Remote, Canada; Remote, United Kingdom; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the Role
We are looking for a Distinguished Engineer to lead technical direction across GitLab's Core DevOps services, the systems the majority of our users touch every day. Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical leadership within and across divisions at the company.
Core DevOps builds continuous Integration, continuous deployment, planning, and source control experiences. These are among the most mature, highest traffic, and most deeply interconnected systems at GitLab. They carry years of accumulated architectural decisions, they sit in the critical path of our customers' own delivery pipelines, and they are being reshaped by the shift toward AI native development. The job is to raise their quality, converge them onto a coherent go-forward architecture, and retire accumulated risk, all without interrupting the millions of users and Fortune 100 organizations who depend on them.
GitLab is pursuing a set of company-wide engineering goals: large gains in developer productivity, measurably higher quality in what we ship, and engineering practices reshaped around AI and agentic workflows. Core DevOps is where much of that strategy has to land, because these are the services our own engineers and our customers depend on daily. In this role you will bring that strategy into Core DevOps in a form that works for long lived production systems, and carry what you learn here back out to the rest of engineering.
What You'll Do
Set and continuously refine the go forward technical direction for CI, CD, Plan, and source code experiences, aligned against the horizontal architectural initiatives.
Work directly with the VP of Engineering as her technical counterpart on planning, technical investment, and where the group's engineering effort should go.
Translate GitLab's company-wide productivity, quality, and AI native engineering goals into concrete technical direction for Core DevOps, and turn into iterable roadmaps, partnering broadly across the org.
Define what good means in measurable terms for these services, including availability, latency at p95 and p99, pipeline success rate, test reliability, data correctness, and defect escape rate, then hold designs and implementations to it.
Maintain a clear and current picture of systemic technical risk across the group, including single points of failure, unowned critical paths, brittle coupling between CI/CD and Plan, scaling limits, and past decisions that now constrain the roadmap. Drive a prioritized plan to retire it.
Lead the hardest design decisions hands on, writing code, prototypes, and proofs of concept where a design argument needs evidence behind it.
Drive convergence on shared patterns, libraries, and paved paths, reducing how many different ways the same problem gets solved across the group.
Design migration paths that let large, long lived systems change underneath users without breaking them, using incremental cutover, dual run, measurable rollback, and deprecation with clear timelines.
Adopt the platform capabilities coming from GitLab's AI organization and the company's productivity initiatives into Core DevOps, feed this group's requirements back into them, and help prove what works on systems of this scale and maturity.
Serve as the escalation point for complex or contested technical decisions across the group, including those where no single team owns the outcome.
Review significant designs and merge requests in the group's critical paths, and use review to teach rather than only to gate.
Ensure designs hold across GitLab.com, GitLab Dedicated, and Self-Managed deployments, and respect multi-tenant, compliance, and data governance boundaries in each.
Partner with Infrastructure, Security, and SRE so Core DevOps services are observable and debuggable, and so failure modes degrade gracefully instead of cascading.
Make architectural constraints and opportunities clear to Product in roadmap terms, so that technical investment and product ambition get planned together instead of traded off late.
Write clear, opinionated design documents, architecture narratives, and decision records that let teams across the group make aligned decisions independently.
Grow Principal and Staff Engineers across Core DevOps, raise the bar on design rigor and technical writing, and contribute to the technical hiring bar for senior individual contributors.
Participate in the Incident Management on-call rotation to help meet availability goals for GitLab.com, and complete Interview Training to participate in hiring as a technical interviewer or panel member.
Take part in on-call or operational support where your team’s ownership model requires it.
What You'll Bring
10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role.
Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale.
Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions.
Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience.
Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems.
Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority.
Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$250,000
—
$349,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Toronto, Canada
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
Docker's Product-Led Growth (PLG) team owns turning product usage into revenue across the full Platform: the Container business (Docker Desktop, Docker Hub, Docker Build Cloud, Docker Scout) and the AI business (Sandboxes, AI Governance, Model Runner, MCP Toolkit, MCP Catalog). Lifecycle marketing is one of the fastest-scaling parts of that team: it already owns user and admin nurtures, renewal automation, and first-touch outreach for PQLs and inbound leads, running against a marketable base in the tens of millions.
As Senior Lifecycle Marketer, you'll report directly to the VP of PLG and partner closely with our existing lifecycle marketing lead. You'll take ownership of assigned products, audiences, and lifecycle stages, with real input into shaping the approach for what you own, not just shipping someone else's plan, and you'll help turn a fast-growing list of priorities into a structured, scalable lifecycle engine.
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WHAT MAKES SOMEONE SUCCESSFUL IN THIS ROLE
- Lifecycle Fluency: You think in full user journeys, not campaigns. You've done lifecycle marketing specifically, not just growth or demand gen, and you know how nurture, activation, retention, and renewal connect across a product's full lifecycle.
- Builder's Mindset: You'd rather own a program end to end, strategy, build, QA, and send, than hand pieces of it off. You bring structure to ambiguity: turning a fast-growing list of priorities into themes, a build queue, and a sequenced roadmap.
- Audience & Signal Validation: You know how to validate an audience and its underlying signal before it ships: spot-checking record-level data, sanity-checking targeting logic, and catching a bad segment before it reaches users. You don't need to write SQL yourself, but you can work directly with data teams to confirm a list is right.
- Cross-Functional Operator: You operate well across marketing, sales (BDR and renewals), data, and design/agency partners, and you know how to keep programs moving even when you don't own every dependency.
- Marketing Automation Execution: You've personally built campaigns in Marketo or an equivalent platform, not just briefed them: audience builds, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring, including troubleshooting a broken data sync in the moment.
- Technical Translation: You can take a technical product or a raw usage signal, a feature adoption event, a usage threshold, a new capability, and turn it into messaging that reads credible to a developer or admin, not generic marketing copy.
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RESPONSIBILITIES
- Build the Lifecycle Engine: Own and build lifecycle campaigns (email and in-product messaging) across Docker's Container and AI Platform products, including Sandboxes and AI Governance, for both end users and admins.
- Scale Programmatic Sends: Design and run large-scale programmatic sends, such as recurring account health checks, to a base in the tens of millions, working within the team's marketing automation stack (currently Marketo and Mailgun; expect a platform transition in the next 6–12 months).
- Automate Lead and Renewal Motions: Stand up and run automated first-touch flows for PQLs and inbound leads, in partnership with BDR and renewals stakeholders.
- Validate Audiences & Signals: Partner with data and growth engineering to pull the usage signals campaigns depend on (Snowflake and internal data tools), and validate that an audience and its underlying signal are correct before every send.
- Manage Suppressions & Contact Governance: Own suppression lists and contact governance rules so campaigns stay compliant and don't over-message or reach the wrong audience.
- QA, Launch Monitoring & Troubleshooting: Run pre-send QA and live proofs on every campaign, monitor launches as they go out, and troubleshoot issues in real time, including broken data syncs.
- Translate Signals into Messaging: Turn technical product usage and adoption signals into messaging that reads credible and useful to developers and admins, not generic marketing copy.
- Shape and Sequence Strategy: Take a fast-growing list of priorities and turn it into a concrete build queue: itemize the work, sequence it, and flag capacity or dependency issues early.
- Coordinate Design & Agency Partners: Work with design and agency partners to keep campaign quality and turnaround on track.
- Operationalize Reporting: Own naming, tracking, and reporting on programs so the rest of the team has visibility into what's live, what's next, and what it's driving.
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QUALIFICATIONS
- Lifecycle Marketing Experience: A background specifically in lifecycle marketing, not pure growth or demand gen, ideally inside a PLG or self-serve motion.
- Proven Program Ownership: A track record of owning campaigns end to end (strategy, build, QA, send) and shipping programs that moved a real metric: activation, retention, or renewal conversion.
- Marketing Automation Build Experience: Hands-on build experience in Marketo or an equivalent marketing automation platform: audience builds, program/campaign setup, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring.
- Data & Targeting Validation: Comfortable working directly with data teams to validate record-level data and targeting logic, for example auditing who's actually in a segment or spot-checking a list against expectations. Writing SQL yourself is a plus, not a requirement.
- Technical-to-Message Translation: A track record of turning a technical product or a raw usage signal into messaging that reads credible to a developer or admin audience, not generic marketing copy.
- Technical Familiarity: Comfort navigating developer ecosystems, cloud infrastructure, or complex multi-product software platforms.
- Independent Ownership: Senior-level judgment and ownership as an individual contributor: you can run with ambiguity and drive a program without every step spelled out, and you collaborate well with another senior peer on the team.
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WHAT TO EXPECT
FIRST 30 DAYS
- Immerse & Align: Get up to speed on Docker's PLG motion, product surface area (Container and AI), and the programs lifecycle already owns. Build a working relationship with data, BDR, renewals, and design/agency partners.
- Program & Tooling Audit: Audit the current state of user and admin nurtures, renewal automation, and PQL/lead outreach, and get familiar with the Marketo/Mailgun stack and its upcoming transition.
- Roadmap Calibration: Work with the lifecycle team to turn the current priority list into themes, a build queue, and a sequenced roadmap.
FIRST 90 DAYS
- Ship Owned Campaigns: Take ownership of at least one full program, such as an admin nurture flow or a PQL first-touch sequence, from build through send.
- Contribute to Renewal Automation: Stand up a first version of automated renewal outreach in partnership with the renewals team.
- Build the Reporting Cadence: Put in place naming, tracking, and reporting so the team has clear visibility into what's live and what it's driving.
ONE YEAR OUTLOOK
- Own a Mature Program Set: Own a mature, scaled set of lifecycle programs across your assigned products, audiences, and lifecycle stages.
- Prove Impact: Show measurable lift in activation, retention, or renewal conversion tied directly to your programs.
- Scale the Function: Help lifecycle marketing operate as a predictable, automated engine rather than a set of one-off campaigns, as scope keeps expanding across the Platform.
Visa sponsorship: Not available for this role.
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COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Canada: CA$160,300– CA$229,000 base
United States: $115,500 – $165,000 base
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
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Bangalore, India; Keep the team's on-call rotation sustainable through coverage across time zones, useful runbooks, better alerts, and follow-through on post-incident actions
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ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
УдалённоГеография найма не уточнена
УдалённоГеография найма не уточнена
Utah | Hybrid
УдалённоRemote | North America or Europe
seniorPalo Alto, California, United States, San Francisco, California, United States
seniorPalo Alto, California, United States, San Francisco, California, United States
seniorГеография найма не уточнена
УдалённоRemote, Canada; Remote, United Kingdom; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
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