Location: Remote - APAC
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 are hiring a Team Lead in Singapore who brings Staff-level technical depth and people leadership: you will guide engineers building brokerage and platform services for New Markets in the region, partner with global teams, and represent engineering for Singapore stakeholders. Scope involves responsibility around architecture, APIs, reliability, mentorship, regional recruitment support, with emphasis on leading the Singapore team day to day.
Things you get to do:
Technical architecture and delivery
Architect and ship scalable, mission-critical brokerage systems (gRPC microservices, REST/gRPC APIs, vendor integrations).
Advance the core platform for multi-region, multi-currency, and regulatory context globally.
Own API quality, performance, and operational readiness for regional workloads.
Leadership and people
Lead, coach, and develop engineers in Singapore; set clarity on priorities, quality bar, and career growth.
Partner with recruiting on regional hiring and interviews.
Facilitate knowledge sharing and engineering culture across Alpaca.
Operational excellence
Act as a senior escalation for incidents affecting regional stacks; improve monitoring, alerting, and incident response.
Participate in on-call as appropriate for the team’s coverage model.
Stakeholder collaboration
Work with Product, Compliance, and local stakeholders on Singapore and regional requirements.
Collaborate across time zones with US and other regional engineering teams.
What we look for (Must-Haves):
Strong backend engineering (Go or equivalent) and distributed systems at scale.
Staff-level impact: architecture ownership, cross-team technical leadership, mentoring.
People leadership experience: direct or matrix leadership of engineers (1:1s, performance, delivery).
Financial services / fintech / brokerage exposure: trading lifecycle, settlements, regulatory awareness.
Excellent communication in English; comfort with regional and global stakeholders.
Who You Might Be (Nice-To-Haves):
Experience in Singapore or
APAC
regulatory and market context.
Microservices, Kubernetes, cloud (GCP/AWS), event-driven design.
Open-source or strong community presence
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
УдалённоleadCollaborate across time zones with US and other regional engineering teams; Remote - APAC
Location: Morocco
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
BSc in Computer Science, Mathematics, or related field.
5+ years of professional experience working on AI/ML projects.
Good command of English and Arabic (written and spoken).
Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
Good grasp of software-engineering best practices: Git, code reviews, testing, CI.
Preferred Qualifications
Knowledge of C++ or C# for performance-critical modules.
Experience deploying models via Docker, Kubernetes, or cloud AI services.
Exposure to vector databases and RAG workflows.
Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
Familiarity with modern data lake architectures and scalable data storage concepts.
Location: Yerevan; Poland; Ukraine; Serbia; Valencia
Workplace: remote
About Provectus
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX)
owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE)
embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
Requirements:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
What you’ll do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
Nice to Have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Budapest
The Wow
As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.
A taster of what you will be involved with:
Design, implement, and optimize machine learning models to solve complex business problems.
Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
Write and maintain high-quality, production-ready code for machine learning models and services.
Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
What we are looking for:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
Proficiency in Python, MLFlow and Spark would be considered an asset.
Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
What we offer
Fitness-wellness allowance
🧗♂️
Company mobile phone for private use with 100 GB
📱
Annual HUF devaluation compensation
💡
Hybrid model: 3 days in the office 🏢
& 2 days from home
🏠
Private Health Insurance
🩺
Career development
📈
Technical and soft-skill training opportunities 🎓
Breakfast, fruits & lunch 🍎
Team building events
🥳
Challenge accepted?
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Denver, CO; Seattle, WA; Chicago, IL (Remote); United States (Remote);
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values
here
!
The
Senior Machine Learning Engineer
will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd’s product. This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices.
Our Culture
We value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters looking to exploit any gap. We seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward.
The Role
As a
Senior Machine Learning Engineer
, you will be a driver of technical execution within the ML team. You won’t just build models—you’ll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production. You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound.
Responsibilities:
Expand ML Capabilities
– Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Enable High-Velocity Experimentation
– Own the design and implementation of ML pipeline components that accelerate our innovation
Collaborate Across Functions
– Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Raise the Bar
– Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development.
Requirements:
Education:
A degree in Computer Science, Statistics, or a comparable quantitative field.
Experience:
4-6+ years
of post-undergrad work experience in a production-grade ML environment.
Technical Depth:
Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale.
Execution Focus:
Proven track record of taking ML projects from research/prototype to high-scale production environments.
Communication:
Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders.
Tech Stack:
Proficiency in Python
,
SQL, key ML libraries, and Spark
Mindset:
A strong outcome-oriented mindset—you care about the "why" behind the models and the business impact they create.
Attention to detail
is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic'
Nice to have:
Previous experience in fraud, fintech, payments, or e-commerce.
Passion for writing well-tested production-grade code
A Master’s Degree or PhD.
Why Join Us?
Make an Impact
– Your work will directly shape the future of fraud prevention, protecting billions of payments.
Lead & Grow
– Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment.
Innovate at Scale
– Work with cutting-edge ML technologies and experiment freely to push the boundaries of what’s possible.
Collaborative Culture
– Join a team that values curiosity, ownership, and continuous learning.
#LI-Remote
Benefits in our US offices:
Discretionary Time Off Policy (Unlimited!)
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
Compensation:
In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.
Base Salary Ranges by Pay Zone:
Tier 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually
Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually
Tier 3 (US - All Other): $140,000 - $170,000 annually
Equity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines.
Bonus:
This role is eligible for an annual performance bonus of up to 10% of base salary.
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the
hiring
process.
Signifyd's Applicant Privacy Notice
Location: Москва, гибрид или удалённая работа, RU; Россия
О команде
Мы разрабатываем Trisigma — платформу для A/B-экспериментов и автоматизации аналитики в крупных компаниях. Платформа помогает принимать повседневные решения на основе данных и снижает нагрузку на аналитиков в типовых запросах к DWH.
Внутри Авито через Trisigma проходит около 10 000 A/B-тестов в год, каждый день платформа считает больше 500 000 метрик и разрезов. С платформой также работают внешние клиенты из ритейла, финтеха, доставки продуктов и e-commerce.
Сейчас мы развиваем AI-сценарии Trisigma: всё, что можно сделать в интерфейсе, постепенно становится доступно в диалоге с агентом.
Мы ищем аналитика в продуктовую команду Trisigma. Вы будете помогать команде понимать, как пользователи работают с платформой, исследовать заложенные в неё аналитические методы и прорабатывать новые сценарии работы через AI-агентов.
Проблему и ожидаемый результат определяем вместе с командой. Вы будете погружаться в детали задачи: разбираться в потребностях пользователей, аналитической логике и технических ограничениях, прорабатывать сценарии и поведение продукта. Вместе с инженерами вы будете доводить решения до реализации и проверять, что они закрывают исходную задачу.
Какие задачи вас ждут:
развивать продуктовую аналитику Trisigma: определять метрики, налаживать их расчёт и исследовать использование платформы;
исследовать и улучшать методы проведения и анализа экспериментов с учётом задач пользователей: проверять, как они работают в реальных сценариях, разбираться в ограничениях, предлагать улучшения и доводить их до продукта;
прорабатывать AI-сценарии платформы: разбираться в задачах пользователей и определять, как агент может помочь их решить;
реализовывать аналитические решения с помощью SQL, Python и AI-агентов: проверять корректность расчётов и эффективность обработки данных;
работать с потребностями команд в A/B-тестировании: изучать их сценарии, предлагать и презентовать решения, в том числе внешним заказчикам, вместе с командой оценивать и реализовывать необходимые изменения в платформе.
Мы ждём, что вы:
работаете аналитиком данных от 2 лет;
уверенно пишете на SQL и Python, работали с большими данными: Trino, ClickHouse, Spark или похожими инструментами;
понимаете, как работают продуктовые команды: гипотезы, итерации, метрики, дизайн и интерпретация A/B-тестов;
каждый день работаете с AI-агентами: Claude Code, Codex, Cursor или похожими инструментами — и умеете проверять полученные с их помощью код, расчёты и выводы;
доводите задачи до конца и отвечаете за результат;
умеете переводить аналитическую задачу в требования к продукту: описывать сценарии, ограничения и критерии корректности так, чтобы команда могла реализовать решение.
Будет здорово, если вы:
доводили свой код или прототип до продакшена;
делали MCP-серверы, скиллы или агентов;
работали с B2B-продуктом или внешними клиентами;
знаете продвинутые методы анализа экспериментов: CUPED, ratio-метрики, switchback.
Работа у нас — это:
возможность влиять на бизнес и развитие продукта;
интересные и разнообразные задачи: аналитики в Авито ищут точки роста бизнеса, изучают поведение пользователей, придумывают фреймворки и настраивают дашборды;
много качественных данных, мощная инфраструктура, инструменты и всё, что нужно для продуктивной работы;
сильная аналитическая культура и сообщество профессионалов;
прозрачная система премий, уровень зарплаты обсудим на собеседовании;
личный бюджет на обучение: его можно тратить на книги, курсы и конференции;
возможность работать удалённо или из офиса в двух минутах от метро «Белорусская»: в офисе есть места для уединённой работы и зоны отдыха;
расширенная забота о здоровье: ДМС, страхование жизни, онкострахование;
сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких;
корпоративный спорт: групповые тренировки, велбиинг-приложение;
спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование;
компенсация питания.
Location: India
Workplace: Remote
ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta.
As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over.
You'll work on a broad mix of projects for customers across India, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems.
The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support.
WHAT YOU'LL DO
- Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline
- Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept
- Do the build: implementation, pipelines and integrations, migration execution, tooling and automation
- Measure it before it matters, with benchmarking, load and functional testing, then support the cutover
- Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you
- Take L1 to L3 cases alongside support engineers when you're between projects
- Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts
- Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production
WHAT YOU'LL BRING
- 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else
- Real depth in databases, whether analytical, transactional or relational
- Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself
- You've owned implementations, migrations or POCs for external customers from start to finish
- Hands-on cloud experience (AWS, GCP and/or Azure)
- You've deployed and run workloads on Kubernetes yourself
- You've run distributed systems, such as distributed databases, in production
- You give precise technical answers and explain them clearly
- Fluent English
NICE TO HAVE
- Experience with ClickHouse
- Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic
- Terraform
- Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium
- Python, Bash or Go
- Involvement in open source, as a user, contributor or community member
GOOD TO KNOW
- This role is remote in India
- Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits
- You'll join our India Support Services team, alongside Support Engineers and TAM Architects
- You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend
HOW WE HIRE
- A 30-minute call with our recruiter
- A conversation with the hiring manager
- A take-home exercise, designed to take three to four hours, with three working days to complete it
- A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live
- A final conversation with our VP of Support Services
- References, then an offer
The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: APAC
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are:
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team:
The OKX Data Team owns and powers the company’s enterprise-wide data ecosystem. We are responsible for the full data lifecycle — from technology selection and architecture design to data ingestion, storage, ETL development, visualization, business intelligence, and advanced data science.
Our team drives end-to-end data ownership across OKX, ensuring that data is reliable, scalable, and actionable. We build the foundational data infrastructure that empowers evidence-based decision-making and continuously enhances the quality of our products and services.
As a
Data Engineering Director
, you will
lead a high-impact team
in
designing and scaling mission-critical data platforms
that serve the entire organization. You will also play a key role in
driving the adoption of Agentic AI
to elevate how we build, operate, and evolve our Data Engineering capabilities.
Responsibilities:
Lead and mentor a team of Data Engineers to design and build resilient, scalable, and high-performance data pipelines for both batch and real-time streaming workloads
Championing Agentic AI adoption across workflows (text-to-SQL agents, automated data quality remediation, self-healing pipelines etc.)
Defining best practices, guardrails, and evaluation frameworks for safely deploying AI agents in the data lifecycle
Architect and implement robust Data Warehouse and Data Mart solutions, including data modeling and ETL pipeline development
Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling techniques (star and snowflake schemas)
Define and implement cloud-based data infrastructure using industry-standard technologies and modern architectural principles
Drive technical excellence and delivery across mission-critical projects in a fast-paced, high-growth environment
Partner closely with cross-functional teams to translate business requirements into scalable data solutions
Requirements:
At least 8 of more years of experience in a Data Engineering, Data Warehousing or Data Mart related field
Practical experience in building offline and real-time Data Warehouses
Familiarity with Data Warehouse Modelling theory and experience in Data Warehouse Model Design, plus an in-depth understanding of Data Warehouse systems, and experience supporting real-world business scenarios
Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.) and productionising them in a data context
Experience building AI-powered data tools — NL query interfaces, automated anomaly remediation agents, intelligent data observability
Hands-on experience applying Agentic AI to data engineering (text-to-SQL, LLM-powered remediation, self-healing pipelines, automated metadata/lineage management and more)
Good to have:
Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris
Experience in R&D of real-time big data systems and real-time data warehouses
Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems
Prior experience managing a team of Software Engineers/Data Engineers
Perks & Benefits:
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process1
Discl
aimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
Director, Consumer PR & Communications
(
FBG)
Fanatics Betting & Gaming (FBG) is redefining how fans engage with the moments they care about, from sports betting and live casino to prediction markets and beyond. Our ecosystem spans Fanatics Sport and Casino, the Fanatics App, our loyalty program Fanatics One and currency of sport, FanCash, and we're building something that's never existed at this scale before. There's no playbook to copy.
We're looking for a stellar brand communications leader to help tell the stories that put Fanatics Sports & Casino and our broader Fanatics ecosystem at the center of sports culture, internet moments, and fan obsession. This role owns the earned media narrative across our full consumer portfolio — finding the angles, building the relationships, and creating the moments that make fans pay attention.
Reporting to the VP, Brand Communications, the ideal candidate is on top of emerging trends, experienced landing earned coverage across both traditional press and new media, and genuinely excited to take calculated risks in a regulated industry. You're a cultural observer first, a strategic communicator second, and someone who moves fast without sacrificing judgment.
What You'll Do
Develop and lead a brand communications strategy that builds awareness, drives product adoption, and shapes how fans think and talk about Fanatics Sport and Casino, the Fanatics App, our loyalty program Fanatics One and currency of sport, FanCash
Tell the story of Fanatics Sport and Casino and the Fanatics app’s innovation, from how we're changing the way fans bet and predict, to the experiences only Fanatics can offer at the intersection of sports, culture, and commerce.
Cultivate strong relationships with consumer, sports, tech, lifestyle, and creator press to build credibility and secure meaningful coverage that reinforces FBG's position as the most fan-forward platform in the space.
Proactively insert the Fanatics Sports & Casino and Fanatics app (and FanaticsOne & FanCash) brands into cultural and sports conversations, identifying real-time moments and translating them into earned media and creator-led visibility before the window closes.
Use data storytelling, trend reports, partnerships, and cultural insights to create campaigns and moments that spark conversation with key audiences.
Partner closely with Marketing, Product, Legal, and Compliance to align storytelling with business priorities across all four products.
Build and maintain distinct but cohesive narratives for each product, ensuring each has its own voice while reinforcing the strength of the broader Fanatics ecosystem.
Define KPIs and reporting frameworks to measure what's working across media, influencer, and campaign efforts.
Build foundational communications infrastructure: messaging frameworks, media strategy, creator playbooks, with a startup mindset inside a scaled company.
What You Bring
10+ years of PR or communications experience, ideally within consumer tech, sports, entertainment, fashion/luxury or marketplace businesses.
Deep experience shaping consumer narratives for fast-moving brands, with a proven track record of driving awareness and cultural relevance through earned media.
Strong media relationships across sports, consumer, lifestyle, and tech outlets both traditional and new.
Exceptional writing and storytelling skills; you can turn data, launches, and platform moments into stories people actually want to read.
Demonstrated fluency in sports, entertainment, and internet culture — you know what will land, what won't, and why timing is everything.
Experience building communications for a new product or category where you created the frameworks rather than inherited them.
Low ego, high ownership; comfortable getting in the weeds and delivering results as part of a collaborative, fast-moving team.
Strong judgment in regulated environments; you know how to be creative and bold within the right guardrails.
Comfortable managing multiple products, priorities, and workstreams simultaneously without losing the thread.
Open to regular travel to events and Fanatics offices for offsites and team meetings.
Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: $143,000 to $206,000 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$144,000
—
$206,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio's next Staff Software Engineer on our Data & Analytics Platform
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help
companies and developers worldwide
build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support
diversity, equity & inclusion
wherever we do business.
About the job
We are seeking an experienced Staff Engineer to join our Data Substrate team. In this role, you will be responsible for architecting scalable and reliable data solutions, collaborating closely with cross-functional partners driving technical innovation, and mentoring a team of talented engineers. The ideal candidate will have deep expertise in data systems, strong leadership skills, and a proven track record of delivering complex data projects at scale.
Responsibilities
In this role, you’ll:
Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.
Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
8+ years of experience in software development, or a related field.
Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems.
Experience designing, building, and operating large-scale systems using AWS technologies.
Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail.
Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats.
Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
Strong leadership skills, with a track record of mentoring and developing junior engineers.
Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.
Desired
Contributions to OSS projects is a bonus
Familiarity with data modeling, data warehousing, and ETL processes is a plus.
Location
This role will be remote, and based in the United States. This role will be remote but is not eligible to be hired in CA, WA, NY, NJ, PA or CT.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. :
$171,120.00 to $213,900.00
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200.00 to $226,500.00
Based in the San Francisco Bay area, California: $201,280.00 to $251,600.00.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location..
Applications for this role are intended to be accepted until 8/28/2026, but may change based on business needs.
The estimated pay ranges for this role are as follows:
$171,120.00 to $213,900.00
Applications for this role are intended to be accepted until 8/6/2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: New York, New York, United States
About At-Bay
At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.
At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.
Responsibilities
Manage and grow At-bay’s core wholesale broker base and GWP, making sure our brokers are getting world-class service at all times.
Portfolio Management: Closely manage and monitor an SMB book of business, ensuring financial targets are met and implementing strategies to optimize profitability.
Propose & negotiate price, coverage, and terms for insurance policies, and actively identify account rounding opportunities
Solicit and analyze risk within At-bay’s guidelines and ensure proper documentation. service existing renewals and new business portfolio
Collaborate with cyber analytics, product, marketing and other parts of At-bay to make sure brokers are getting the best At-bay has to offer
Work with technology and data teams to create tools to enhance the underwriting process
Attributes and Qualifications
Approximately 1-3 years of experience as underwriter in cyber liability, Tech, Media E&O, Miscellaneous E&O, other E&O lines or specialty commercial insurance
You possess solid knowledge of specialty commercial underwriting, and insurance industry theories and practices
Strong technology affinity, ability to work with advanced analytics software
Technical background. Strong plus if you already know what DNS, IP addresses, ports, databases, and other software/computer networking concepts
You’re an amazing team player; you make everyone else on the team better and you don’t let your ego get in the way
Our estimated base pay range for this role is $100,000-$120,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.
Location: New York, New York, United States
About At-Bay
At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.
At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.
Responsibilities
Manage and grow At-bay’s core wholesale broker base and GWP, making sure our brokers are getting world-class service at all times.
Portfolio Management: Closely manage and monitor an SMB book of business, ensuring financial targets are met and implementing strategies to optimize profitability.
Propose & negotiate price, coverage, and terms for insurance policies, and actively identify account rounding opportunities
Solicit and analyze risk within At-bay’s guidelines and ensure proper documentation. service existing renewals and new business portfolio
Collaborate with cyber analytics, product, marketing and other parts of At-bay to make sure brokers are getting the best At-bay has to offer
Work with technology and data teams to create tools to enhance the underwriting process
Attributes and Qualifications
Approximately 3-6 years of experience as underwriter in cyber liability, Tech, Media E&O, Miscellaneous E&O, other E&O lines or specialty commercial insurance
You possess solid knowledge of specialty commercial underwriting, and insurance industry theories and practices
Strong technology affinity, ability to work with advanced analytics software
Technical background. Strong plus if you already know what DNS, IP addresses, ports, databases, and other software/computer networking concepts
You’re an amazing team player; you make everyone else on the team better and you don’t let your ego get in the way
Our estimated base pay range for this role is $130,000-$150,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale.
This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team.
We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco Office — three days per week.
WHAT YOU’LL DO:
- Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
- Own End to End AI Systems: Drive key projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment
- Shape AI at Strava: Be a strong voice on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities.
- Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including recommendation systems, activity prediction, and personalized insights.
- Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features
YOU WILL BE SUCCESSFUL HERE BY:
- Driving innovation with Product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate and get buy-in for innovative techniques to improve existing products or explore new features that result in step function changes to how we build AI at Strava.
- Leading as an Owner: Owning your work end-to-end and being accountable for the outcomes in the projects you drive and landing impact for the business. Ensure the end-to-end system delivers as expected through collaboration with partners.
- Analyzing the Data: Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava’s features and measure impact.
- Collaborating in and across teams: Build relationships, advocate, and communicate with cross-functional partners and product verticals to identify opportunities and bring your technical vision to life.
- Raising the ML standard: Help work towards best practices for model development, deployment, and maintenance.
- Being passionate about the work you are doing and contributing positively to Strava’s inclusive and collaborative team culture and values
WHAT YOU’LL BRING TO THE TEAM:
- Have worked on numerous machine learning problems and broken them down into incremental tasks.
- Have demonstrated solid interpersonal and communication skills, and collaborative approach to drive business impact across teams.
- Have experience building, shipping, and supporting ML models in production at scale.
- Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, and Sagemaker.
- Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, and Snowflake).
- Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, and A/B testing.
- Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Ruby, Java, Scala, and Go.
For information on benefits, please click here. https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
Location: Home based - EMEA
This is an opportunity to run the worldwide Telco Field Engineering business, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire spectrum of cloud offerings, from Ubuntu itself to virtualisation and private cloud, Kubernetes, and the implementation of sophisticated open source solutions such as MLops platforms, data platforms and more. The Telco department is composed of three regional teams (APAC, EMEA and AMER).
We believe that Engineering Directors should be outstanding engineers themselves. They should feel completely at home troubleshooting technical issues and having technical presales conversations with customers. They should contribute to project delivery themselves, but know that the technical contributions they bring are far less significant than their ability to shape the whole team’s direction, focus and delivery. We grow management skills and train engineers, who are interested in soft skills, to be managers.
We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering managers help teams achieve more than they realised they could, and feel proud of the result.
The role of a Telco Field Engineering Director at Canonical
The Field Engineering department is our team of cloud solutions architects at Canonical, working directly with our customers, designing private and public cloud solutions fitting their workload needs. The portfolio of products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc. The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. Managers and team members also take part in presales conversations to provide technical advice during the sales process.
Within the Field Engineering department, there are multiple focused teams : the Cloud/DC team, the Alliances/Partners team, the IoT team, and the Telco team.
The telco industry is moving to software-defined services. This transformation is driven by open source software, cloud computing and the move to VNF / CNF approaches. Canonical Ubuntu is a key platform for telco innovation, and we are growing our team of specialists who work in the industry to accelerate the change.
Canonical enables operators and communications service providers to embrace this new world, with a focus on platforms such as Ubuntu, OpenStack, and Kubernetes, and reusable, high quality automation for operations at scale.
A Cloud Field Engineering Director is responsible for driving the strategy in presales and delivery for our telco customers. The ability to develop engineering talent, to represent your team from a technical perspective, and to drive collaboration with other teams and customers are all critical to success in this role. You are also expected to actively participate in technical presales to help our department achieve our quarterly goals.
Location:
This role will be home based, managing teams in worldwide.
What your day will look like
Lead and develop managers and teams of Field engineers in the areas of Presales and Professional Services
Solve customer problems by promoting our technologies and being a trusted advisor
Work remotely in a single major time zone
Coach, mentor, and offer career development feedback
Identify and measure team health indicators
Implement disciplined engineering processes
Represent your team and product to stakeholders, partners, and customers
Develop and evangelise great engineering and organisational practices
Plan and manage progress on agreed goals and projects
Be an active part of the leadership team, collaborating with other leaders
What we are looking for in you
A thorough technical understanding of the telco NFVi (VIM), NFVO, VNFM and MEC space and key telco cloud infrastructure technologies like CPU Pinning, NUMA, SR-IOV, DPDK, etc
Familiarity with telco architecture and industry standards
Working knowledge of at least one of the following domains: Mobile Packet Core (4G/5G), Private Network, Radio Access Network (RAN), Voice, IP Backbone, VAS or OSS/BSS
Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc.
Practical knowledge of Linux and networking
Experience in technical presales
You are a dynamic person who loves to jump in new projects and interact with people
Excellent verbal and written communication skills in English
Passion and a track record of developing and growing people
Experience in leading, coaching and mentoring engineers and managers
Organised and able to ensure your team delivers timely, high quality results
An exceptional academic track record from high school and, preferably, university as well
Willingness to travel up to 25% of the time. Field Engineers attend internal company events, external tech events and customer meetings.
Additional skills that you might also bring
Second language - Spanish or French preferred
Python knowledge
Experience collaborating with external partners
Experience collaborating with several internal teams and providing stakeholder feedback for engineering roadmaps
Understanding of AI and machine learning concepts, including sovereign AI, and their potential applications in telco environments, such as network optimization, predictive maintenance, unified communication, and customer experience improvement
Exposure to frameworks such as 3GPP, TM Forum ODA, eTOM, ETSI NFV, ONAP, O-RAN, or similar is a plus
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues from your team and others
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders.
RESPONSIBILITIES
- Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms.
- Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure.
- Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews.
- Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data.
- Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and assist with audits, policy creation, and risk assessments.
- Employee security training: Develop and deliver security training programs and documentation to keep our team informed about best practices, social engineering threats, and secure coding standards.
- DevSecOps integration: Partner with DevOps teams to embed security into the CI/CD pipeline, automating security checks and fostering a culture of “security as code.”
REQUIREMENTS
- 3+ years of experience in a Security Engineer or similar security-focused role, preferably in a fast-paced startup environment.
- Strong knowledge of cloud security (AWS/GCP), container security, and infrastructure-as-code best practices.
- Hands-on experience with security tooling (SIEM, IDS/IPS, vulnerability scanners) and scripting languages to automate security tasks.
- Familiarity with compliance frameworks such as SOC 2, ISO 27001, and GDPR, and the ability to translate requirements into actionable security controls.
- Incident response expertise, including forensic analysis and root cause investigation.
- Excellent communication skills and the ability to collaborate with cross-functional teams to promote a security-first culture.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Team
Our company, specializing in blockchain and web3 technologies, places a high emphasis on security and reliability. We are seeking individuals who are deeply knowledgeable in operating systems, browsers, DApps, smart contract security, and programming language behaviors. Responsibilities include identifying potential risks such as private key storage and designing leakage prevention solutions.
What You’ll Be Doing:
Design, develop, and maintain real-time and batch data processing pipelines using Flink, ensuring high performance and scalability.
Responsible for the architecture design and development of Flink streaming systems, tailoring solutions to complex business requirements.
Collaborate with data scientists to support feature engineering and develop feature stores for machine learning models in production.
Work closely with cross-functional teams, including AI, compliance, risk, and engineering, to provide robust and scalable data solutions.
Troubleshoot and resolve performance bottlenecks and technical challenges in real-time stream processing, ensuring system stability and scalability.
Improve system performance and data integrity, addressing complex issues in real-time data pipelines.
What We Look For In You:
Deep expertise in Apache Flink for real-time data streaming and processing, with experience in designing and developing streaming architecture.
Familiarity with data platforms such as Alibaba Cloud Hologres, Doris/Clickhouse, and Spark.
Experience in feature engineering and feature store development to support machine learning applications in production environments.
At least 10 years of relevant work experience, especially in large enterprises or international Fintech companies
Background in FinTech or blockchain companies.
Strong English communication skills to work effectively in a cross-national team
Bonus Points:
Experience in developing feature stores.
Experience with blockchain technology.
Disclaimer:
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
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OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
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's
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