Location: New York, NY
ABOUT CONSENSYS
Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem.
We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness.
Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition.
WHY THIS ROLE EXISTS
We build and operate blockchain infrastructure for financial market infrastructure: settlement, custody and clearing institutions that put real value on the networks we run. We have signed clients with production dates this quarter and a platform standing on its own for the first time. Our pipeline of banks, custodians and market operators is growing faster than we can work it properly.
You are the first hire on the Business Development team. You own the pipeline data and act as the coordination layer between prospects, engineering and leadership. You also make sure that what we promise in a sales conversation matches what we can deliver. When someone asks where a deal stands, what a client actually asked for, or whether a commitment is real, you're the person with the answer.
WHAT YOU'LL OWN
- Building pipeline with financial institutions: banks, custodians, broker-dealers, asset managers and market infrastructure providers. You work out who to approach, find the right person in each institution, and get the first meeting.
- Account research before every conversation. You should know a prospect's settlement stack, where their collateral and liquidity problems are, what they've said publicly about tokenization, and who else they're talking to. Nobody should walk into a meeting cold.
- Qualifying opportunities against what we actually sell: access, execution, interoperability and network engines, plus forward-deployed engineering engagements, managed hosting, interop settlement and sequencer services. That means working out whether there's a real budget, a real owner, a real timeline and a real problem we solve, and saying so early when there isn't.
- Supporting live deal cycles, including discovery notes, meeting prep, follow-ups, RFP and RFI responses, security questionnaires and due-diligence packs. Institutional sales cycles are long and documentation-heavy. You keep them moving.
- Pipeline and CRM discipline. Stages, next steps and close dates should reflect reality, and the forecast should hold up when someone questions it.
- Market and competitive intelligence. Enterprise post-trade vendors don't publish their pricing, so what we know about it comes from conversations. You collect it, organize it and make it useful for pricing and positioning.
- Translating between two worlds. Our buyers speak repo, collateral, DvP, cut-off times and operational risk. Our engineers speak sequencers, finality and nodes. You need to be fluent enough in both to bring back an accurate account of what the client asked for.
- Outbound materials and messaging, working with Marketing and Product on one-pagers, case narratives, event follow-up and sequences that sound like they were written by someone who understands the client's business.
- Events and ecosystem presence, including industry conferences, working groups and partner channels where institutional decision-makers show up.
- Capturing client feedback for Product. What prospects ask for, what makes them hesitate and why deals stall should all reach the roadmap in a structured way.
- Using AI in the work every day for research, account mapping, first drafts and meeting prep, held to the same bar for accuracy as anything else sent to a client.
TWO LINES SIT OUTSIDE THIS ROLE AND YOU'LL WORK WITH BOTH CONSTANTLY:
- Solutions and forward-deployed engineering own technical scoping, architecture and delivery commitments. You bring them in at the right moment with the right context, and you never promise a date or capability they haven't agreed to.
- Legal and Finance own contract terms, pricing approvals and commercial structure. You make sure deals reach them clean and early, not the week before signature.
WHAT WE ARE LOOKING FOR
- 2–4 years in B2B tech sales, business development, or a client-facing role at a financial institution, fintech or market infrastructure provider.
- Working knowledge of how institutional finance operates: trade lifecycle, clearing and settlement, custody, collateral. You don't need to be a post-trade expert, but you need to follow the conversation and ask good questions.
- Real curiosity about onchain infrastructure and tokenized assets, and the ability to explain why it matters to a treasury or operations buyer without resorting to hype.
- Strong written communication. Your emails, notes and summaries are clear, short and accurate.
- Organized and persistent. Deals here take quarters, not weeks. You keep threads alive without being a nuisance.
- Commercially sharp. You can tell interest from intent, and you'd rather disqualify a deal early than carry it on hope.
- Comfortable in a company that is young and still building. The playbook is being written now, and you'll help write it.
- Direct. This team has a low tolerance for polish over substance. Say the hard thing early, and say it kindly.
- Coachable and collaborative. You want feedback, you act on it, and you make the people around you more effective.
USEFUL, NOT REQUIRED
- Experience selling into, or working at, a bank, custodian, CSD, exchange or clearing house.
- Familiarity with Ethereum, EVM networks or permissioned blockchain deployments.
- Exposure to repo, FX, stablecoins or tokenized treasuries/RWAs.
- Experience with enterprise procurement: RFPs, vendor due diligence, InfoSec reviews.
WHAT THIS ROLE IS NOT
- Not a volume-dialing SDR seat. We'd rather have ten well-researched conversations than a thousand generic touches.
- Not someone who overpromises to book a meeting. Our buyers remember.
- Not someone who waits to be told what to do next, or who doesn't ask why an account matters.
- Not someone who needs to be the loudest voice in the room. Listen first, then bring the insight.
- Not a solutions-engineering role. You need to be credible technically, but you aren't expected to architect deployments.
WORKING AT CONSENSYS
We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3.
Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.
Location: Serbia; Latvia; Lithuania; Ljubljana; Moldova; Belarus; Georgia; Kyrgyzstan; Uzbekistan; Azerbaijan; Armenia; Czech Republic; Portugal; Spain; Dubai
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
About the role
We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds.
Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault.
You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement.
The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST.
Why this role?
You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production.
It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers.
Tasks
Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc;
Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring;
Manage and support private clouds (Openstack and Kubernetes);
Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers.
Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis;
Ensure environments are stable and adhere to availability SLAs;
Work towards reducing operational effort;
Automate repetitive operational tasks and continuously reduce manual effort;
Collaborate with development teams to troubleshoot infrastructure-related issues in production;
Keep infrastructure documentation and operational procedures up to date;
Engage in constant upskilling to stay updated with industry best practices.
Requirements
3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure.
Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud);
Experience with Linux server configuration, maintenance and troubleshooting in production.
Understanding of process control, logging and Linux service management.
Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components.
Proficiency with automation tools such as Chef, Ansible, or Salt;
Experience with Docker, Kubernetes and containerized environments;
Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog;
Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure.
Skilled in scripting languages such as Bash and Python;
Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc;
Experience with DevOps tools and CI/CD workflows.
At least C1 in Russian and B1 in English.
Nice to have
Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues.
Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments.
Hands-on experience with Chef.
Experience with GitLab CI/CD, Jenkins or GitHub Actions.
Experience working with fintech/trading, or other high-load and mission-critical systems.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role: Network
Engineering Manager APAC / Network Team Lead APAC
We are looking for a
Staff Network Engineer / Player-Coach Team Lead
to lead the growth, deployment, and operational execution of our
APAC Network Infrastructure emerging team
. In this role, you will combine direct people leadership with high-end technical expertise. You will lead a growing regional team of
2–5 jun/mid-to-senior network engineers
, driving their professional development, cross-project prioritization across our
Global Network
, and overall execution aligned with global business objectives, with a priority on the
APAC Region
and backbone network development across EU and the US for APAC.
As a hands-on technical manager, you will remain deeply embedded in engineering execution, dedicating approximately
50–70% of your time to hands-on engineering
during your first year, with the role evolving naturally alongside organizational scale and regional team expansion.
Crucially, this position demands a high degree of
operational autonomy
. Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers.
This position is remote within the APAC region (with preferred hubs in India, Singapore), with regular visits to regional DC facilities and our European headquarters in Amsterdam.
Your responsibilities will include:
Team Leadership & People Management
Deploy APAC network part and BackBone. Lead, mentor, and structurally develop a regional engineering team of 2–5 jun/mid-to-senior network engineers across the APAC.
Own regional task planning, backlog prioritization, change review governance, and end-to-end execution within the team.
Drive and owning the Launch and Deploy process of New DataCentre and Customer in it
Drive technical coaching, and personalized career roadmaps for team members.
Foster a disciplined culture of radical ownership, engineering excellence, comprehensive runbook documentation, and Git-driven automation.
Act as the regional net escalation point for production network incidents
Global Follow-the-Sun Alignment:
Co-own operational hand-off workflows and shared incident coverage with
EMEA (HQ in Amsterdam)
and the
US
network teams to guarantee seamless, round-the-clock global production network stability and customer workability.
Cross-Functional Alignment & Strategic Autonomy
Serve as the primary regional network owner for the next teams in APAC: datacenter operations team, site expansion teams.
EU/EMEA Coordination:
Actively partner with the Global Network Architecture and R&D to adapt core architectural standards (Clos fabrics, SRv6, backbone routing policies) to APAC market realities and carrier ecosystems.
Autonomously drive regional connectivity delivery: partner closely with Technical Program Managers (TPMs) on submarine cable systems, cross-border DCI circuits, local Internet Exchanges (IXs), and regional transit providers.
Coordinate with HWaaS, Compute, and Cloud Platform engineering teams to guarantee timely site bring-up, Day-0 Out-of-Band (OOB) readiness, and high-throughput fabric availability for production workloads.
Bridge the gap between global strategic roadmaps and autonomous local incident resolution, ensuring APAC operations execute reliably during EMEA off-hours.
Technical Leadership & Hands-on Work (50–60%)
Full Regional Network Ownership:
Own and guarantee overall network infrastructure readiness, capacity, and availability across emerging APAC network infrastructure, ensuring alignment with HQ blueprints and processes
Actively contribute to the design, deployment, and operation of massive data center fabrics and backbone infrastructure.
Support and participate in the evolution high-performance Ethernet-based GPU cluster interconnects.
Participate in complex, high-severity troubleshooting and root-cause analysis (RCA) for critical infrastructure incidents.
Oversee and contribute to network automation pipelines, tooling, and telemetry/observability development.
We expect you to have:
Expert-Level Technical Background:
Service Provider or/and Data Center Clos networks.
BGP, IS-IS, Segment Routing (SR-MPLS / SRv6), and advanced traffic balancing
Ethernet switching, EVPN-VXLAN architectures, and L3 VPNs.
Leadership Experience: Proven track record as a Tech Lead, Lead/Staff Engineer, or People Manager leading mid-to-senior engineering teams.
Vendor Ecosystem: Juniper, Arista, Cisco, NVIDIA
It will be an added bonus if you have:
Hands-on experience with GPU cluster, RoCEv2/ECN or InfiniBand networks
Solid understanding of Public Cloud networking models and Software-Defined Networking (SDN) overlays.
Proficiency in Python or Go for infrastructure automation and production tooling within Linux environments.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
We're building AI agents for performance marketing. Plurio, the AI agent for media buying teams running $300K–$15M/month on Google, Meta, and TikTok. It connects to your internal backend data and your ad accounts, automates analysis and optimization, saves 50% of time, and boosts ROAS by 10–30%. Our agents already run $500M+/year in ad spend. Since our public release in March, our customer base has grown 4× in 10–12 weeks. Our goal is the autonomous user acquisition factory that runs 10× better than anything before, growing budgets under management to $30B/year.
Задачи:
— Вы будете руководить командой и агентом, отвечать за рост клиентских метрик.
— Улучшать и обучать агента, формировать методологию его работы: как он читает данные, анализирует сигналы, автоматизирует решения и действия, взвешивает параметры.
— Встраивать логику медиабаинга в рабочие процессы и правила агента.
— Собирать лучшие практики из собственного опыта, клиентского портфеля и рынка, адаптировать их для агента и клиентов разных вертикалей.
— Совершенствовать агента совместно с продуктовой командой и AI маркетинговыми инженерами.
— Работать с клиентским портфелем: обучать команды клиентов работе с агентом, улучшать и контролировать рабочие процессы, правила и процессы внутри агента для роста метрик клиентов.
— Общаться с руководителями по привлечению пользователей, CMO и лидерами перформанс-маркетинга клиентов, обучать их, разбирать кейсы, находить новые задачи для агента.
— В случае, если агент управляет рекламой клиента, вы вместе с агентом и AI маркетинговыми инженерами становитесь командой клиента по Meta Ads, определяете логику и механику работы.
Требования:
— Опыт управления рекламным бюджетом в Meta от $1M в месяц.
— Опыт разработки стратегии, структуры, подходов к тестированию, автоматизации и найму команды, как лично, так и через команду.
— Глубокое понимание работы Meta: сигналы, аукционы, структура аккаунтов, логика оптимизации.
— Опыт управления командой из минимум 3-4 человек: медиабаеры, аналитики, креативные продюсеры.
— Умение объяснять логику и механику работы команде и отстаивать решения на уровне CMO.
— Опыт работы с автоматизацией: создание собственной или интеграция внешних сервисов, понимание CPA, правил масштабирования и остановки, логики принятия решений.
— Знание потребительских воронок: мобильные, веб, web-to-app, app-to-app, особенности окон конверсии, задержек атрибуции и отслеживания доходов.
— Опыт создания или соучастия в создании креативной фабрики для Meta: анализ, механика тестирования и генерация.
— Свободное владение английским языком, уверенное общение и письменная коммуникация с англоязычными клиентами.
Условия:
— Работа в команде, использующей AI-агентов во всех функциях: инженерия, продажи, операции, клиентские проекты.
— Обучение использованию и созданию агентов, интеграция вашего опыта в них.
— Прямая работа с основателями и руководством компании.
— Компенсация до $15K в месяц, включая базовую часть и бонусы за результат.
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.
Job Location: Sydney, Australia
Role Overview
The
Principal
Partner Engineer (PE)
is a high-impact, strategic technical sales leader responsible for end-to-end technical lifecycle and enablement of the assigned partners, managing both pre-sales and post-sales engineering activities. In this role, you will act as the single technical point of contact as the trusted advisory for your assigned partners, driving technical validation during the sales cycle, architecting their delivery readiness and ensuring ongoing Partner Success.
The role focuses heavily on driving
value-based solution selling
to accelerate the adoption of Cloudflare platform with focus on Cloudflare One (SASE/SSE) and AI Infrastructure (Workers AI / AI Gateway). By cultivating deeply technical champions within the partner organization, aligning architectures to tangible business outcomes, optimizing post-sales delivery and building joint managed services offering, you will directly expand and influence the pipeline to maximize Partner-Influenced Opportunity (PIO) revenue.
Key Responsibilities
1. Pre-Sales Engineering & Champion Building
Technical Alignment, Discovery & Enablement:
Own the technical relationship with Partners to align on building joint Go-To-Market (GTM) strategies. Align, build, and accelerate partner technical capabilities, enabling them to lead deep technical discovery and architectural design to independently sell scalable solutions leveraging the Cloudflare Platform with a strong focus on AI and Cloudflare One (CF1).
Technical Account Plan Ownership: Own and drive the end-to-end Technical Account Plan (TAP) for assigned strategic partners. Act as the primary architect mapping partner business goals to technical execution milestones, ensuring continuous alignment on CF1 and AI adoption targets.
Building Technical Champions: Identify, enable, and cultivate key technical advocates and "Champions" within the partner organization to scale Cloudflare expertise independently, generate Partner-Influenced Opportunities (PIO), and empower them to deliver high-value professional services around Zero Trust and AI application security.
Driving PIO via Next-Gen Architectures: Collaborate with sales teams to proactively source, qualify, and expand PIO through strategic architectural alignment, focusing on migrating legacy network architectures to CF1 and integrating secure AI solutions.
Deal Support & Qualification: Enable partners' technical validation, proof-of-concept (PoC), demo, pipeline generation, and pipeline acceleration capabilities. Identify joint pursuit accounts, facilitate strategic technical account planning, and deliver cutting-edge solution architecture sessions for Named Partners
2. Accelerate Services Delivery
ASD Partner Journey Ownership:
Own the ASD partner journey to ensure partners possess the advanced capabilities required to deploy, manage, and support the Cloudflare platform and AI application workloads seamlessly.
Joint Services Offering Acceleration with strong focus on CF1 and A1
: Build and co-develop joint services catalogues with key partners, accelerating the creation and launch of their own Cloudflare-focused services offerings, managed CF1 SASE practices, and AI security assessments.
Service Monetization & Performance Metrics:
Enable partners to embed CF1 and Workers AI capabilities into their own managed security portfolios to shorten time-to-market, protect client AI pipelines, and maximize profitability. Develop, manage, and track key performance indicators (KPIs) to measure and improve the effectiveness of these partner service deliveries
Technical Account Management & Architectural Health:
Act as the escalated technical point of contact to ensure long-term architectural health, utilizing telemetry and proactive design to move the partner relationship from reactive to strategics for Cloudflare.
3. Automation AI Agents & Continuous Innovation
Leverage Autonomous AI Tools: Champion the use of Cloudflare OS and AI tools (Agent PAT and Agent Echo) to automate standard, repeatable technical tasks, optimizing operational efficiency and freeing up bandwidth for high-touch, strategic partner engagements.
AI & CF1 Product Enhancement Feedback Loop: Engage partner champions in the Partner Technical Advisory Council (PTAC) to give them early access to beta software, capture raw product feedback, and drive joint co-innovation on CF1 features and emerging AI products.
Cross-Functional Enablement: Participate in continuous cross-training programs to maintain peak proficiency in both pre-sales scoping and post-sales service deployment across the entire Cloudflare One and AI ecosystem.
Required Qualifications & Experience
13+ years of technical, partner-facing experience (e.g., Systems Engineer, Solutions Architect, or Technical Account Manager) in cybersecurity, cloud infrastructure, or networking.
Strong technical depth in Cloudflare One (CF1) or equivalent SASE/SSE architectures, Zero Trust, DNS, and application security, alongside hands-on familiarity with AI deployment, AI Gateway, LLM orchestration frameworks, or vector databases.
Proven track record of developing technical talent or building "champion" programs within partner organizations, specifically driving adoption of complex cloud networks and AI technologies.
Enterprise Architecture & Project Management: Deep understanding of enterprise IT, multi-cloud, and hybrid cloud environment while managing complex projects with multiple stakeholders
Demonstrated ability to manage the technical lifecycle of a deal from initial pre-sales discovery and CF1/AI PIO generation through post-sale service delivery.
Strong communication skills with a track record of presenting complex CF1 architectures and AI-driven use cases to partner leadership and technical teams alike.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
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: Prague
Job Overview
We are looking for an
Analytics Engineer
who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt.
Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this.
Reports to
Director of Mobile and New Games
What will you do?
Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned
Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical
Mentor analysts on dbt, SQL modeling, testing and code review
Tune Snowflake performance and cost, improve pipeline reliability and monitoring
Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows)
Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse
Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team
What are we looking for?
4+ years of experience in analytics engineering, data engineering or a similar role
Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development
Strong SQL and data modeling skills
Production experience with Snowflake, including performance tuning and cost awareness
Python for data tooling and automation
Experience with AWS services used in data platforms (Lambda, S3)
Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders
Experience with mentoring or supporting analysts
Fluent English
What additional skills will help you stand out?
Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks
Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs)
Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team
Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar)
Experience with finance or revenue data (reconciliation, reporting-grade accuracy)
Background in gaming, mobile apps or other consumer product analytics
Familiarity with marketing and attribution data (AppsFlyer) or product telemetry
dbt certification
Work mode
Hybrid (3 days of work from the office)
This role isn't eligible for relocation & immigration support.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Prague include:
5 weeks of Annual Leave per calendar year
Additional paid time off
Sick Leave Compensation, Maternity & Paternity Leave Benefits
Career development and education opportunities within the company
Meal card contribution
Public transportation allowance
Premium private healthcare
Mental well-being program (iFeel)
Multisport Employee discounts
Personal Gaming Account
Coffee, fruits, and snacks in the office
Company events
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards.
Responsibilities:
Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are
Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases
Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs
Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it
Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied
Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation
Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs
Integrate with third-party identity verification and data enrichment vendors
You may be a good fit if you have:
A Bachelor's degree in Computer Science, Software Engineering, or comparable experience
Experience building and operating backend systems in production
Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Care about the societal impacts of AI and want your work to make powerful systems safer
Strong candidates may also:
8+ years of industry software engineering experience
Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case
A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build
Experience with identity, authentication, or authorization systems at scale
Experience with KYC/KYB workflows or identity verification vendors
Experience in trust and safety, integrity, fraud, or abuse detection
Experience detecting and responding to account takeover or credential compromise
Experience partnering with operational teams to build custom internal tooling
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.
Responsibilities:
Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
Build abuse detection mechanisms and infrastructure
Surface abuse patterns to our research teams to harden models at the training stage
Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale
You may be a good fit if you have:
A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
Proficiency in Python and Typescript
An ability to work across the stack
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of experience in a software engineering position
Have experience with integrity, spam, fraud, or abuse detection and mitigation
Have experience building trust and safety detection mechanisms and intervention for AI/ML systems
Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Have worked closely with operational teams to build custom internal tooling
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: AU: Melbourne: (260 Burwood Rd)
Workplace: Hybrid
At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.
THE ROLE & TEAM
Product Data Science & Engineering is a portfolio team within Product & Technology. Partnering across Product, Engineering, Design, Marketing, and Commercial leadership, we set Xero’s data science strategy across broad product areas and operate in an AI-native way—using AI to transform how we work, not just what we ship.
The team co-own Xero's metrics stack, experimentation strategy, and enterprise data architecture and builds AI-powered customer experiences including the Jax chatbot and agentic workflows—in partnership with Anthropic, OpenAI, and Google. They also lead AI measurement and productionisation. We work in an AI-native way. That means AI changes how data science itself gets done here, not just what we ship.
This is a new strategic leadership role created to scale Xero's data science and AI capabilities. You will take full ownership of the data science, analytics, ML, and AI strategy and execution across Accounting & Bookkeeping, Small Business, and AI products.
This role combines strategic product vision (including Jax, agentic workflows, and AI-powered features) with platform thinking across the metrics stack, experimentation, data quality, and governance, driving enterprise-level impact across every product team.
WHAT YOU’LL DO
- You will translate company-level objectives into strategic sub-objectives across analytics, ML, AI products, and experimentation, elevating both the quality of decisions and the leverage Xero gains from its data and AI investments.
- Lead, mentor, and grow a team of data scientists, analytics engineers, ML engineers, and managers, scaling the function from ~12 to ~30.
- Design team structures and operating models that preserve high throughput across multiple locations and time zones.
- Operate as an AI-native leader, driving how AI changes how data science operates and ships value across Xero.
- Act as the primary data partner to Product & Technology, advising C-suite and SLT on data utilization, retention strategy, new data domains, and AI investment decisions.
- Represent data science in executive forums and partner with Product, Engineering, Design, Marketing, Commercial, Legal, Privacy and Risk on strategy, prioritisation and governance.
- Own AI governance, model risk, data quality, privacy posture, and experimentation integrity across the portfolio, ensuring company-wide compliance and integrity.
- Drive behavioral, technical, and cultural standards across the vertical. Own and improve global hiring practices, build talent maps, and coach senior leaders and individual contributors to raise the bar across Xero.
- Proactively identify delivery and strategic risks, designing robust organizational processes that yield consistent, high-quality outcomes for Xero.
WHAT YOU’LL BRING WITH YOU
We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required. What matters most is that you have operated, shipped, and led at scale within a fast-paced technology environment. As a self-starter and executive partner, you will shape and lead strategic agendas alongside C-suite and senior leadership, driving throughput across multi-location, global teams. You excel at bringing structure to complex cross-functional challenges, managing ambiguity, and maintaining a strong "Xero-first" mindset focused on delivering strategic value and accountable execution.
- Ability to act as a proactive self-starter and executive partner, shaping strategic agendas with C-suite and SLT, presenting to board-level leadership, and influencing key investment decisions.
- Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard.
- Skilled in leading managers, coaching leaders into senior roles, developing high-performing teams, and constructively escalating strategic risks when necessary.
- Experienced in navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments.
- Practical experience leveraging frontier-model platforms (e.g., Anthropic, OpenAI, Google) to build agentic workflows, chatbots, and AI-powered products, as well as transforming team operating models using AI workflows.
- Substantial experience leading data science, ML, or analytics functions, with a proven track record of managing other people leaders across multi-team structures.
- Extensive experience building and running enterprise-scale data science functions, AI/ML productionisation, AI governance, model risk frameworks, and experimentation integrity.
- Deep technical fluency across applied ML, analytics engineering, instrumentation, eventing, and schema governance, with a strong engineering mindset focused on building scalable platforms and reusable architectures.
- Prior exposure to SaaS or small business segments, with a track record of driving scale, data quality, and privacy compliance.
- Technical bachelor's or master's degree (PhDs welcome for applied, high-impact organizational challenges), supported by public thought leadership or open-source contributions in data or AI.
WHERE AND HOW YOU CAN WORK
This role is based in Sydney or Melbourne with a flexible hybrid working setup, spending 1 to 2 days per week in the local office to connect and collaborate.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Office of the Chief Commercial Officer is a small team that works directly with our CCO, go-to-market leadership, and company leadership on Anthropic’s highest-priority commercial initiatives. We take on problems that do not sit cleanly inside one team, such as standing up a program that spans Product, Finance, Legal, and Sales, or preparing the material our executives and Board use to make decisions. Our commercial business is growing faster than its operating processes can be built, so a growing share of the job is stepping into gaps and running something important, while making sure other teams are building the capabilities to permanently own.
You will own workstreams end to end. One week that means running the go-to-market side of a pressing situation, from the communications plan for customers and account teams to the daily readout for executives. Another week it means building the analysis behind a resourcing decision or a new program and writing it up for the CCO. This is an internal role. You will report to the CCO’s chief of staff, and you will have an unusually broad view of how the company makes decisions.
Key Responsibilities:
Drive priority go-to-market initiatives from plan to delivery, removing blockers, escalating early, and connecting the right people across teams at the right time
Build the analysis, draft the document or deck, and turn input from many teams into a recommendation executives can act on
Prepare content for the CCO and leadership team, including weekly staff meetings, updates to the Office of the CEO, Board materials, and leadership offsites
Track the go-to-market organization’s top priorities and keep a current view of status, owners, and risks
Act as a bridge between go-to-market and Product, Finance, Legal, Safeguards, and Research, so that what account teams hear from customers reaches product decisions and those decisions reach account teams in a usable form
Step in where something important has no clear owner, run it until it has a permanent home, and hand it over cleanly
Close out same-day executive requests quickly and to a high standard
You may be a good fit if you:
Have 4+ years of experience in management consulting, strategy and operations, a chief of staff team, or a similarly rigorous environment working with senior executives
Structure ambiguous problems well and get to a clear recommendation
Can get to a number yourself in a spreadsheet, in SQL, or with Claude, check it against a second source, and explain where it came from
Write and speak clearly and briefly for executive audiences
Are as willing to maintain the tracker and chase the last open items as to write the strategy
Are comfortable with significant autonomy and with priorities that shift on short notice, pay close attention to detail, and know when to escalate
Build trust quickly with senior people across the company who are short on time
Use AI tools as a core part of how you work
Care about Anthropic’s mission and about getting safe, useful AI to customers
Strong candidates may also have
Experience in technology, SaaS, or enterprise software, or exposure to go-to-market strategy, sales operations, or customer success
Experience running a product launch, a program office, or another cross-functional effort with many owners and a fixed date
Familiarity with how large enterprises buy and adopt technology, including security, legal, and procurement review
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Milan, Italy
Are you ready to grow with the world’s largest law firm? Join Dentons Italy Team today.
Dentons Italy is currently looking to grow its Corporate M&A group with the appointment of a Junior Associate based in our Milan office.
Our Corporate M&A Team consists of specialized lawyers, recognized among the best for their areas of expertise. Collaborating in the Corporate M&A department means being part of a rapidly growing group, as well as receiving specific training and being involved in the most innovative legal issues.
Dentons offers a diverse range of activities in a dynamic work environment, practice-oriented training in an international context and the opportunity to gain 360 degree work experience. Dentons is not only the largest law firm in the world, providing quality and value to clients, but it is also a world-class firm of high profile professionals.
Dentons is a leader in the Acritas Global Elite Brand Index, winner of the BTI Client Service 30 Award and recognized by leading business and legal publications for its innovations in client service, including the founding of Nextlaw Labs and the Nextlaw Global Referral Network. Dentons' polycentric approach and talents challenge the status quo to promote client interests. We are always looking for the best professionals.
Our DNA is made up of talent, innovation and passion.
Requirements
Italian Law Degree with a minimum score of 105/110.
Current license to practice law in Italy.
Between 1 and 2 years PQE in the Corporate M&A field, gained in a comparable law firm.
High level of English (Certificate C1). Other foreign languages are a plus.
Vocation and motivation for exercising the legal profession.
Excellent negotiation and communications skills.
Global mentality and enthusiasm.
You are able to adapt to an international environment and eager to grow both professionally and personally with us.
Benefits
Enrollment in the firm's training plan.
Competitive rewarding package.
A clearly structured career path.
You will have access to Daisy, Dentons' proprietary AI tool.
You will work closely with professionals who are recognized among the best in their areas of practice, in an international and stimulating working environment.
Welfare program.
Personal Budget for Training.
Agile Working (as per internal policy).
Opportunity to perform pro bono legal assistance.
Involvement in corporate events (e.g. annual Fee Earners Retreat).
About us
Across over 80 countries, Dentons helps you grow, protect, operate and finance your organization by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you.
www.dentons.com
Diversity & Inclusion
Essential to our success as a global law firm is our ability to attract and retain the best talent from a diverse range of backgrounds. We want a work environment where everyone can reach their potential and we have an inclusive culture, which respects individual differences.
We undertake and support a number of internal and external initiatives aimed at increasing diversity within the profession and we encourage all our partners and staff to get involved. We welcome you to learn more about diversity and inclusion at Dentons.
Location: Riyadh, Saudi Arabia; London, United Kingdom
The Indoor Gardens team is responsible for the care, maintenance, propagation, and presentation of indoor plant collections and horticultural displays, ensuring high standards of plant health, horticultural quality, sustainability, and visitor experience. The role involves practical and technical support in plant establishment, propagation, irrigation, nutrition, greenhouse operations, environmental monitoring, plant health, and Integrated Pest Management (IPM). The position will also support plant inventory and records, display maintenance, pest and disease management, and visitor-engagement activities, while working closely with the Horticulturalist, Botanic Garden Curator, and wider horticulture team.
Key Responsibilities
Maintain indoor plant collections, displays, and greenhouse/controlled growing environments.
Perform watering, pruning, repotting, fertilisation, plant replacement, propagation, and general plant maintenance.
Monitor plant health and identify pests, diseases, nutrient deficiencies, and environmental stress.
Support and implement Integrated Pest Management (IPM) and appropriate plant-health treatments.
Monitor temperature, humidity, light, ventilation, irrigation, growing media, and plant nutrition.
Maintain plant inventories, labels, databases, and horticultural records.
Support plant propagation using seeds, cuttings, division, and other methods.
Maintain high horticultural, aesthetic, cleanliness, and visitor-experience standards.
Support greenhouse operations, indoor display maintenance, and plant collection management.
Work with horticulture teams, botanists, contractors, and other multidisciplinary teams.
Requirements
Bachelor's degree in
Horticulture, Botany, Plant Sciences, or a related discipline
.
Relevant experience in
indoor horticulture, indoor garden management, greenhouse, conservatory, or controlled growing environments
.
Practical experience in plant care, propagation, pruning, repotting, irrigation, fertilisation, and plant maintenance.
Experience identifying
plant pests, diseases, nutrient deficiencies, and environmental stress
.
Knowledge and practical experience with
Integrated Pest Management (IPM)
.
Experience monitoring
temperature, humidity, light, irrigation, ventilation, and growing conditions
.
Experience maintaining plant collections, horticultural displays, plant records, and inventories.
Strong attention to detail, practical problem-solving, communication, and teamwork skills.
Experience in a
botanic garden, greenhouse, conservatory, nursery, public garden, or similar horticultural facility
is preferred.
Location: Riyadh, Saudi Arabia
The Assistant Horticulturist – Outdoor Gardens supports the day-to-day maintenance, care, and presentation of outdoor gardens, landscapes, and living plant collections. Working under the direction of the Horticulturist – Outdoor Gardens, the role provides practical support in planting, pruning, plant health, irrigation, pest management, and general garden maintenance.
The position also supports plant identification, collection records, Integrated Pest Management (IPM), and the safe use and routine maintenance of horticultural tools and equipment. The role contributes to maintaining safe, healthy, attractive, and high-quality outdoor garden environments.
Key Responsibilities
Support planting, pruning, watering, weeding, mulching, fertilisation, deadheading, staking, and general garden maintenance.
Assist with the establishment, replacement, and maintenance of trees, shrubs, groundcovers, herbaceous plants, and seasonal displays.
Monitor plant health and identify signs of pests, diseases, nutrient deficiencies, water stress, and other environmental issues.
Support the implementation of Integrated Pest Management (IPM), including monitoring, preventative measures, and appropriate control activities.
Assist with soil preparation, amendments, mulching, fertilisation, and other plant-health activities.
Support irrigation and watering activities and report signs of over- or under-watering.
Assist with plant identification, labelling, inventory, and accurate maintenance of plant collection records and databases.
Maintain high horticultural, aesthetic, and presentation standards across outdoor garden areas.
Qualifications
Bachelor's degree in Horticulture, Botany, Plant Sciences, or a related discipline.
Additional training or certification in horticulture, plant identification, IPM, irrigation, or related areas is advantageous.
Experience
Minimum
3 years of relevant professional experience
in outdoor horticulture, garden management, or landscape maintenance.
Practical experience in planting, pruning, plant establishment, irrigation, soil preparation, fertilisation, mulching, and general plant care.
Experience maintaining a range of trees, shrubs, groundcovers, herbaceous plants, and seasonal displays.
Experience identifying common plants, pests, diseases, and environmental or plant-health issues.
Experience supporting IPM programmes and routine plant-health monitoring.
Experience with plant labelling, inventory, collection records, and basic horticultural databases is desirable.
Practical experience using and maintaining common horticultural tools and equipment.
Previous experience in a botanic garden, public garden, arboretum, nursery, major landscape, or comparable horticultural environment is preferred.
Core Competencies
Practical horticultural and plant-care skills
Plant identification and basic plant-health assessment
Understanding of Integrated Pest Management principles
Safe use and care of horticultural tools and equipment
Attention to detail and horticultural presentation standards
Accurate record-keeping and organisational skills
Location: US
Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain.
PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience.
Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn’t be higher. We’re looking for a Customer Support Engineer to help developers and businesses get the most out of PlanetScale, resolve issues quickly, and build the support function that helps us scale.
What’s the job to be done?
You will advise and handle support requests from customers and developers on the PlanetScale platform.
You will respond to, debug, and resolve customer support issues through support tickets, customer Slack channels, public discussions, and other support channels.
You will help customers understand how to use PlanetScale effectively, including how to reason about queries, schema changes, application behavior, database connectivity, and production workflows.
You will create and improve internal and external documentation, support playbooks, troubleshooting guides, and customer-facing materials.
You will identify product gaps and recurring sources of customer friction, then work with Engineering to prioritize improvements.
You will contribute to the systems, processes, and practices that help PlanetScale deliver excellent developer-focused support at scale.
These attributes best describe you.
You are customer-focused, empathetic, and clear in how you communicate, while knowing when to push back in ways that help customers become successful on their own.
You have excellent debugging and troubleshooting skills, with the curiosity and persistence to follow issues across applications, databases, infrastructure, and product behavior.
You are comfortable stepping outside your comfort zone. Whether that means reading unfamiliar application code, digging into database behavior, testing a new framework, or learning a connector you haven’t used before, you’re willing to go where the problem leads.
You are a self-starting, enthusiastic individual who takes responsibility for outcomes and wants to make a meaningful impact on the business.
You can operate independently, but you know when to ask for help and how to bring the right people into an issue.
You are highly organized and able to operate in ambiguous or changing situations.
You are data-driven, team-oriented, and comfortable communicating across many audiences.
You enjoy working cross-functionally and translating customer pain into actionable product, documentation, and process improvements.
What you will need.
Experience supporting production applications, databases, developer tools, infrastructure, or other technical products.
Working knowledge of SQL, preferably with experience in MySQL and/or PostgreSQL.
Strong debugging skills and the ability to reason through application and database behavior.
Programming experience. You will not be programming full-time, but you should be comfortable reading and navigating unfamiliar code to understand customer issues.
Experience with common application frameworks, ORMs, database connectors, or application deployment patterns.
Willingness to explore new languages, frameworks, tools, and customer environments as needed.
Strong written and verbal communication skills.
Strong empathy for customers, developers, and teammates, with the ability to advocate for customer needs clearly and constructively.
What else will help you be successful.
Experience working in a remote organization.
Experience with cloud platforms such as AWS, GCP, or Azure.
Knowledge of monitoring, observability, and debugging tools.
Experience helping build support processes, documentation systems, or teams from an early stage.
Why PlanetScale.
We’re redefining how high-growth companies manage data at scale — and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Customer Support Engineer, you’ll be on the front lines helping developers and businesses solve real production problems, while also shaping the product, documentation, and support systems that make PlanetScale better for every customer.
PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America.
At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status.
If you have a disability, please let us know if there’s any way we can make the interview process better for you; we’re happy to accommodate!
Total Compensation and Pay Transparency
An employee’s total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process.
Base salary range: $150,000 - $200,000 USD
Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: Montreal, Canada
Key Responsibilities:
Lead the development and execution of advanced
orbit dynamics and mission analysis tasks for various space missions.
Architect, design, and optimize complex satellite trajectories,
maneuvers (low-thrust, impulsive), and constellation configurations using
STK (including modules like Astrogator, Optimizer, Analysis Workbench) and
custom tools.
Develop, implement, and validate high-fidelity simulation models
and analysis software using Python, MATLAB, and/or C# to support mission
design, performance assessment, and trade studies.
Perform and oversee specialized analyses: advanced coverage,
communications link budgets, conjunction assessment and collision
avoidance strategies, re-entry predictions, orbit determination, and
attitude dynamics interactions.
Define mission requirements related to trajectory and orbital
performance; contribute to system architecture development and trade-offs.
Develop novel analysis techniques and automate complex simulation
workflows.
Provide technical leadership and mentorship to junior engineers
within the team.
Prepare and present detailed technical reports, analysis results,
and recommendations to internal teams, management, and external customers/stakeholders.
Interface with other subsystems (GNC, Systems, Software,
Operations) to ensure mission success.
Required Qualifications:
Master's degree in Aerospace Engineering,
Astronautical Engineering, Physics, Applied Mathematics, or a closely
related field; Or a Bachelor's degree with significant additional relevant
experience (typically 9+ years).
Minimum of seven (7) years of professional, post-graduation
experience directly related to orbit dynamics, astrodynamics, trajectory
optimization, and space mission design and analysis.
Expert-level proficiency with Systems Tool Kit (STK) / Satellite
Tool Kit (STK), including advanced modules (e.g., Astrogator, Optimizer,
Coverage, Comm) and experience with STK automation/scripting (via API,
Connect).
Advanced programming proficiency and demonstrated experience
developing analysis tools, models, or simulations in Python and MATLAB.
In-depth theoretical and practical understanding of advanced
orbital mechanics, perturbation theory, estimation techniques (orbit
determination), and trajectory optimization methods (gradient-based,
evolutionary).
Proven ability to lead technical analyses, conduct complex trade
studies, and solve challenging astrodynamics problems independently.
Excellent analytical, critical thinking, and problem-solving
skills.
Strong written and verbal communication skills in English. French
language is considered favorably.
Complementary
skills/knowledge
:
PhD in Aerospace Engineering or a closely related
field with a focus on astrodynamics or orbital mechanics.
Experience with other simulation environments (GMAT, FreeFlyer,
Orekit) or specialized tools (SPICE).
Experience with C/C++ programming.
Experience in spacecraft Guidance, Navigation, and Control (GNC)
analysis or design.
Experience with multi-body dynamics and large constellations.
Experience with satellite operations, particularly flight dynamics
aspects.
Experience with software development best practices (version
control with Git, testing, documentation, CI/CD).
Record of publications or conference presentations in relevant
fields.
leadSingapore; Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers
Не хотите искать каждый день?
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Prague; This role isn't eligible for relocation & immigration support
УдалённоseniorRemote: India; This role is only open to candidates based in Mumbai as you will be required to regularly meet with customers and partners located there
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY | Seattle, WA
ГибридDesign team structures and operating models that preserve high throughput across multiple locations and time zones; We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required; Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard
headSan Francisco, CA
juniorMilan, Italy
Riyadh, Saudi Arabia
We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status
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