Location: New York City, NY; San Francisco, CA; 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 part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
You’ll be the senior data science leader embedded in our Developer Platform product team and a strategic thought partner to its product leads. You’ll help set product direction for the Claude Developer Platform, spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You’ll bring a point of view on where to invest, how to grow our platform business, and how to deliver more value for the developers and enterprises building on Claude. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions.
Responsibilities:
Act as a strategic thought partner to Developer Platform product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes
Set the data science agenda for Developer Platform, deciding where the Product Data Science team can have the most impact and what it should deprioritize
Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions
Frame the most important and ambiguous questions facing the platform, from how developers and enterprises adopt it to how AI agents are being built and deployed at scale, size the opportunities, and make clear recommendations, including when they challenge the current direction
Define how Developer Platform measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters
Set the standard for experimentation and causal inference across Developer Platform, including where API and B2B products make clean experiments hard, and personally lead the highest-stakes analyses
Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners, including go-to-market teams
Establish foundational data practices and shape the analytics infrastructure Developer Platform needs to support rapid iteration and decision-making as our products grow
You may be a good fit if you:
Have extensive experience in data science, including leading analytics for a product area at significant scale
Have 3+ years managing data science teams, including setting team direction and developing senior data scientists
Have been a trusted partner to senior product and business leaders on API or developer-facing products, with clear examples of changing a roadmap or high-stakes decision
Bring strong product sense and business judgment for developer and B2B products, including the ability to frame the right question and take a position with incomplete information
Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work
Communicate clearly in writing and in presentations, including to executive audiences
Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
Care about the company’s mission of building helpful, honest, and harmless AI
Strong candidates may also have:
Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
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:
$460,000
—
$460,000 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.
leadNew York City, NY; San Francisco, CA; Seattle, WA
Задачи:
— анализ банковских и крипто-транзакций для выявления мошенничества и AML-сценариев
— разработка и улучшение ML-моделей для fraud detection
— graph analysis / Graph ML (GNN, node embeddings, link prediction)
— вывод моделей в production
Требования:
— опыт работы с transactional fraud / AML от 5 лет
— strong Python + ML stack (PyTorch / TensorFlow)
— опыт с Graph ML / Neo4j / NetworkX / GNN
— production ML и ETL pipelines
Будет плюсом:
— MLOps
— ClickHouse / Elasticsearch / Cassandra
— опыт с real-time systems и асинхронным Python
Условия:
— релокация (Узбекистан / Дубай / ЕС) или B2B outside РФ/РБ/Украины
— зарплата в валюте
— relocation package
— международная русскоговорящая команда
— сложные ML/AI задачи и сильная technical culture
УдалённоseniorОАЭ, Узбекистан; SENIOR DATA SCIENTIST / ML ENGINEER | RELOCATION OR B2B REMOTE | #data #scientist #ml #engineer #relocation https://teletype.in/@courierus/e05v3dQsz7M; релокация (Узбекистан / Дубай / ЕС) или B2B outside РФ/РБ/Украины Известная международная IT-компания в сфере кибербезопасности ищет Senior Data Scientist / ML Engineer в команду Anti-Fraud; Условия: релокация (Узбекистан / Дубай / ЕС) или B2B outside РФ/РБ/Украины, зарплата в валюте, relocation package, международная русскоговорящая команда, сложные ML/AI задачи и сильная technical culture
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 hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team.
You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed.
Responsibilities
Serve as the named technical support contact for a defined book of strategic enterprise accounts, embedded in customer channels and joining recurring account cadences as the support voice
Own your customers' technical support needs end to end — investigate, diagnose, and resolve complex issues directly, and partner with internal Engineering and Product teams to drive resolution when needed
Build deep, durable context on each customer's architecture, integrations, and use cases so you can respond with nuance rather than from a script
Partner closely with the Customer Success Manager, Account Executive, and Applied AI team on each account as part of a single, coordinated account team
Capture technical feedback and product friction from your accounts and route it to Product with the impact data and detail needed to prioritize it correctly
Manage high-urgency issues for your accounts with extreme ownership, and coordinate cleanly with the broader Product Support team for continuous coverage
Help build the foundations of the Support Engineer function — runbooks, escalation paths, tooling, and the metrics we'll use to measure its value
Become an expert in all Anthropic products across the API, Claude for Enterprise, and Claude Code
You may be a good fit if you
Have 5+ years in technical product support, with meaningful time in an escalated, priority, or named-account support team for enterprise customers
Have been the person an enterprise customer knows by name and reaches for first when they need technical help
Are deeply fluent with APIs and technical SaaS products, and can read technical documentation, error logs, and request traces with ease
Have hands-on experience troubleshooting SSO, SAML, OAuth, and enterprise authentication flows
Are persistent and curious — you delight in the hunt of tracking down a bug, and are energized by fixing it for every similar user going forward
Possess strong user empathy and crisp, kind written communication; you can translate between a frustrated customer engineer and an internal platform team without losing either
Are comfortable operating in ambiguity, making informed decisions in never-before-seen situations, and knowing when to pull the escalation cord
Enjoy building trust and collaborating closely with go-to-market partners (Sales, CS, Applied AI) without owning the commercial relationship yourself
Have contributed to the foundations of a support team before — the essential, often unglamorous work of writing the first runbook
Are excited about Anthropic's products and the opportunity to shape how the world's largest companies get support for them
Strong candidates may also have
SQL proficiency for querying logs and usage data to investigate issues
Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
Understanding of LLM capabilities, prompt engineering patterns, and current limitations
Familiarity with enterprise networking concepts, cloud infrastructure (AWS, GCP), and IT environments
Experience working inside a customer's shared Slack or similar embedded-support model
Background as a Technical Account Manager, Support Engineer, or Designated/Premier Support contact at a developer-platform or infrastructure company
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:
$210,000
—
$250,000 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: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
At Ramp, people are the single biggest lever on our trajectory, and the bar for who joins this team gets higher every quarter, not lower. We're hiring a Recruiter who treats recruiting as a research discipline as much as a relationship one: someone who can map a market, identify the operators who'll outperform their peers, and run a full-cycle process that wins them.
You'll own end-to-end hiring across Sales and GTM functions, from first conversation through offer close, and partner with GTM leadership to translate ambitious hiring plans into real teams. The recruiters who do this best at Ramp combine craft on the front end (research, identification, calibration) with execution on the back end (closing, candidate experience, pipeline discipline). We're looking for both.
WHAT YOU'LL DO
- Use AI and research to find top talent. You'll build target lists of high performers at peer and aspirational companies using LinkedIn Recruiter, Sales Navigator, Gong signals, internal data, and AI tools like Claude. We expect AI to be part of your daily workflow, not a novelty, but a core part of how you identify, qualify, and reach candidates.
- Calibrate quickly and map the market. For every new search, you'll develop a clear point of view on what "great" looks like, who fits the profile, and where to find them, then share that POV with hiring managers as a written artifact rather than just a slate of resumes.
- Run thoughtful, personalized outreach. The best replies come from outbound that's grounded in real research, a candidate's territory, deal motion, or recent move. We care more about reply rate and onsite conversion than send volume.
- Own the full cycle, from first outreach through offer close, including pipeline hygiene in Ashby, stakeholder updates, and offer construction.
- Close candidates with competing offers. Many of our strongest GTM hires are weighing multiple options, and you'll partner with hiring managers and leadership to build conviction, sequence references, and run a closing motion that wins on substance.
- Be a strategic partner to GTM leaders. Push back when a search is mis-scoped, surface compensation reality early, and translate hiring-manager wishlists into a concrete profile within days.
- Deliver an excellent candidate experience that's fair, transparent, and fast. Feedback is honest; offers move in days, not weeks.
- Improve how we hire by contributing to process changes, comp benchmarking, employer brand, and how Ramp evaluates GTM talent.
WHAT YOU NEED
- 5+ years of full-cycle GTM/Sales or G&A recruiting, ideally in a high-growth or top-tier startup environment where the bar was non-negotiable.
- A real track record of identifying strong talent, not just running searches that closed. Bring examples of candidates you found, ran a process for, and who became top performers.
- Comfort using AI in your day-to-day workflow. You already use LLMs to research candidates, draft personalized outreach, summarize calls, or surface signals from messy data, or you're eager to. We see AI fluency as core to how recruiting works going forward.
- Research instincts. You can articulate why a given candidate is in the top decile of their cohort, not just that they have the right title at the right company.
- Closing skill. You've personally closed senior hires against competing offers from top-tier companies.
- Data literacy. You're comfortable in Ashby (or equivalent ATS) and with funnel metrics, and willing to challenge a hiring manager with the numbers when needed.
- High urgency operating mode. You book next steps on the call, not after, and you own the candidate's experience through to signature.
- Excellent written communication. Your outbound and your candidate updates are the work product, and they should be specific, sharp, and not template-driven.
NICE-TO-HAVE
- Direct experience recruiting AEs, Sales Managers, RevOps, or Sales Leadership at a high-growth fintech, SaaS, or infra company.
- Experience building or contributing to an AI-augmented research workflow.
- Familiarity with Ashby, LinkedIn Recruiter, Sales Navigator, and Gong.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Singapore
About the Role
The Cloudflare APAC sales organisation operates as one integrated revenue system. Account Executives, Customer Engineers, Partner Account Managers, Business Development Representatives, Customer Experience Managers, Professional Services and Revenue Operations work as a continuous engine — winning, deploying, adopting, expanding, and scaling platform commitments across the full customer lifecycle.
The system is supported by an AI-embedded operating model. The work itself, however, remains human. The role of every seller at Cloudflare is to bring critical thinking, judgment, and trust to customer relationships and outcomes.
In this role, you will be responsible for driving significant growth by landing and expanding a portfolio of assigned customers in your assigned territory. The ideal candidate possesses a strong blend of sales acumen and technical understanding, enabling them to engage effectively with both technical and non-technical buyers. As an Account Executive, you will drive revenue velocity by utilizing foundational sales data layers for accurate forecasting, proactive pipeline management, and consistently exceeding attainment targets.
You are the kind of operator who uses AI as a force multiplier every day, cares more about customer outcomes than job boundaries, and demonstrates curiosity, judgment, and high agency.
Responsibilities
Own and execute a comprehensive territory plan to consistently achieve and exceed sales and revenue targets.
Cultivate long-term strategic relationships with key accounts and partners. Lead executive-level transformation narratives that earn the right to be in the architecture conversation.
Leverage top partners as an extension of the sales team to co-sell alongside where they bring customer relationships, services capability, or procurement leverage. Drive regular forecast & pipeline cadences with top partners.
Understand customer network architectures, the problems that Cloudflare can solve and effectively translate Cloudflare’s solutions to drive successful platform sales, ensuring clients can secure and scale their own AI-driven workloads.
Manage contract negotiations and structure platform-level commercial commitments (multi-year, multi-product, outcome-anchored) rather than point-product deals.
Stay engaged through onboarding, adoption, and the first renewal. Partner with Customer Engineers, Professional Services on a deployment plan with milestones tied to measurable outcomes.
Proactively build and manage a robust sales pipeline by leveraging internal tools, AI-assisted research and pipeline sources (BDR, Channel, Marketing).
Maintain high standards in pipeline discipline, CRM hygiene and forecasting accuracy.
Desirable Skills, Knowledge, and Experience
Bachelor's degree or equivalent work experience.
At least 5 years experience selling technology solutions in the BFSI sector.
Experience selling technology solutions in Financial Services Industry in Hong Kong.
Demonstrated track record of consistently meeting and exceeding multi-million dollar quota targets.
Proficient in discovery, positioning, competitive selling, negotiation, closing, and multi-threaded land and expand strategies.
Strong understanding of computer networking, cloud security technology, and how enterprise infrastructure adapts to automated data workflows.
Exceptional interpersonal communication skills and value selling skills.
Proficiency in modern sales software, customer data environments, and core systems (e.g., Salesforce, Tableau, G-suite).
Thinks critically rather than reacting, exercises judgment under uncertainty, names risks honestly, shows genuine empathy for customers as people, can point to relationships built over time on trust, and demonstrates visible curiosity in how they prepare, sell, and learn.
Willingness to actively engage with AI tools and experiment.
Ability to travel as required.
Cultural fluency for assigned markets; Proficiency in Cantonese is required, as the role involves daily interaction with Hong Kong Clients.
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.
Задачи:
— Проектировать и развивать внутреннее AI-ядро: агенты, skills, tool use, routing, orchestration.
— Строить и улучшать RAG-сценарии: retrieval, chunking, embeddings, reranking, доступ к знаниям.
— Делать reusable-компоненты и шаблоны для аналитиков: skills, коннекторы, пайплайны, reference flows.
— Интегрировать AI-платформу с внутренними системами, базами данных, API и корпоративными источниками знаний.
— Настраивать observability, tracing, evaluation и контроль качества AI-пайплайнов.
— Оптимизировать качество, latency, стоимость и устойчивость пайплайнов.
Требования:
— Практический опыт построения production RAG / agent / workflow-систем.
— Опыт создания внутренних инструментов или платформ, которыми реально пользовались аналитики или бизнес-команды.
— Умение работать на стыке engineering и enablement: собрать решение и сделать его понятным для пользователей.
— Опыт интеграции AI-пайплайнов с корпоративными источниками данных, API и внутренними системами.
— Умение разбирать сложные пользовательские сценарии и упаковывать их в reusable-механики платформы.
Технический стек:
• Python, SQL, FastAPI, API integrations, async, service-oriented development.
• LangGraph, LlamaIndex, Haystack, Semantic Kernel.
• Qdrant, pgvector, Weaviate, Milvus, OpenSearch, Elasticsearch.
• Embeddings, hybrid search, metadata filtering, reranking.
• Airflow, Prefect, Dagster, Temporal.
• Langfuse, Phoenix, OpenTelemetry (или собственные подходы к tracing / observability / eval).
• Docker, Linux, Kubernetes, CI/CD.
Условия:
— Ставка: обсуждается отдельно.
— Готовность к редким командировкам в Ереван.
— Работа в топовом финтех-направлении над уникальным AI-продуктом.
Location: Hybrid - London
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel's Enterprise sales team is built on people who are technically fluent, commercially sharp, and deeply curious about the companies they sell into. As a Majors AE covering some of the key EMEA markets, you will own a curated book of named enterprise accounts and be the primary driver of net-new revenue and platform expansion. You will work alongside Solutions Engineers, Partner Manager, and cross-functional Vercel stakeholders to bring Vercel's platform into some of the most digitally ambitious and transformational companies in the region.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Build and execute multi-year account plans across a curated set of named Major Accounts, with hyperscalers, SIs, and agency partners embedded in the strategy from day one
Drive net-new revenue through outbound ownership, rigorous discovery, executive alignment, and multi-threaded deal execution spanning engineering, product, procurement, legal, and the C-suite
Translate Vercel's platform into board-level narratives around developer velocity, infrastructure consolidation, and AI-driven transformation as measurable operational levers
Own complex commercial negotiations and establish Vercel as a long-term strategic infrastructure partner embedded in your accounts' roadmaps for web and AI transformation
What you need
5–10+ years in enterprise SaaS with a demonstrated track record of closing six and seven-figure deals in major or strategic accounts
Experienced in partner-influenced or co-sell motions — you know how to activate a hyperscaler or SI/ISV relationship to open doors and accelerate deals, not just name-drop them
Fluent in English and local language requirements based on the territory you’re focused on
Comfortable discussing architecture with a CTO and total cost of ownership with a CFO
A disciplined account planner who thinks in years, builds executive relationships from scratch, and sequences complex accounts to maximise long-term revenue
Fluent in MEDDPICC and rigorous about forecast hygiene and CRM discipline
Able to hold credible, technically grounded conversations with senior engineering and product leadership — without leaning on a solutions engineer as a crutch
A value seller who leads with business outcomes and customer pain, not feature lists
Bonus if you
Have a background in web development, developer tooling, web infrastructure, cloud platforms, or AI/ML
Come with existing relationships at AWS, GCP, Azure, or major SI/ISV players active in the UK and Northern Europe markets
Have experience navigating ELAs, global framework agreements, or enterprise procurement in regulated industries
Have sold into media, retail, financial services, or digital-native companies — verticals where Vercel has strong traction in the UK market
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The London based pay range for this role is 200,000 - 270,000 GBP OTE. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Remote
About us
OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research.
Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap.
We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle.
Please note:
Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information.
The Secure Development team ❤️
OpenZeppelin is the security partner of choice for the most important protocols in Web3. Our Secure Development team sits at the intersection of building and breaking: we design, implement, and harden production-grade libraries and smart contracts for leading projects across EVM, Starknet, Stellar/Soroban, Arbitrum Stylus, Aptos, and beyond, often as an embedded extension of the client's engineering team.
We work the way the rest of the industry will five years from now. Every developer on the team is a fully AI-native engineer, supported by outstanding internal AI tooling built for every phase of secure development. Developers own their workstreams end-to-end — agents amplify their effectiveness, and peers, security researchers, and external auditors provide rigorous review on every piece of work that ships.
The Canton Network engagement
This role joins an active
24-month, multi-million-dollar commitment
to build the open-source DeFi foundations of the world's most institutional blockchain. You'll deliver production-ready Reference Implementations (privacy-preserving DEX, lending, cross-chain stablecoin settlement, confidential auction launchpad, and more), the OpenZeppelin Contracts Library for Daml that Canton developers will import, and Canton standards implementation.
Within this, you will:
Own features of the OpenZeppelin Contracts Library for Daml end to end, from design through audit: examples include a Timelock, access control, vaults, or token standard support.
Design and implement components of the year-1 Reference Implementations: privacy-preserving DEX, lending protocol, cross-chain stablecoin settlement, and confidential auction launchpad.
Implement and shepherd the OZ Daml versions of CIP-56, CIP-86, CIP-103, future CIPs. Coordinate with Digital Asset on spec evolution and with ChainSafe on middleware alignment.
Present and defend your designs in technical discussions with Digital Asset, the Canton Foundation, and other partners.
Work with OpenZeppelin's security researchers on threat models, audit preparation, and fixes for the components you own.
Use AI systems as core daily tools for research, design, implementation, testing, and security work. Build agents, skills, and workflows, and share what works with the team.
Contribute developer-experience and security feedback upstream into the Canton protocol, Splice, the Daml SDK, and the Splice Wallet Kernel.
Research privacy-preserving DeFi, multi-party authorization patterns, and Canton-specific primitives, and share what you learn with the team.
You have
Production Daml fluency.
You understand templates, choices, controllers/observers/signatories, multi-party authorization, sub-transaction views, and propose/accept patterns as first-class primitives. Running an SV, contributing to Splice internals, governance, or Canton Coin tokenomics.
Canton architecture depth.
You understand the network, not only the code: the Global Synchronizer and private synchronizers, what each party and synchronizer sees in a transaction, smart contract upgrades, and the token standards (CIP-56, CIP-112).
3+ years of smart contract development in production.
This includes hands-on work on Canton or another UTXO-based or privacy-preserving architecture (Cardano, Midnight, Zcash, Aleo, Mina, or similar). You can reason about Canton's privacy boundaries the way an EVM developer reasons about storage slots.
Production DeFi experience.
You have shipped DeFi primitives such as AMMs, vaults (ERC-4626 or equivalent), lending protocols, or cross-chain settlement, and you understand the security pitfalls of each. You know the standard EVM patterns (access control, token standards, lending pools, DEXs), because many Canton standards reuse them.
A security-first mindset.
This is non-negotiable. You build secure code by default, you think adversarially about every line you write, and you find vulnerabilities when you review Daml code. We look for a developer with a security mindset, not a security researcher. Published audits, threat models, or disclosures are a plus.
An AI-native workflow.
Claude Code, Cursor, or equivalent is your daily driver. You know agents, harnesses, and skills, not only autocomplete. You hold AI output to the same standard as a colleague's pull request, and you stay accountable for everything you ship.
Fluency in client-facing communication (English)
Autonomy and proactivity.
Nice to have
Cryptography or financial-engineering background.
Privacy-preserving DeFi rewards both.
Institutional finance and compliance design experience.
Credential gates, multi-party attestation, custody flows, capital-markets microstructure, RWA tokenization, settlement.
Experience running an SV
, contributing to Splice internals, governance, or Canton Coin tokenomics.
Cross-chain interoperability exposure.
Production work with at least one major cross-chain messaging protocol (Chainlink CCIP, LayerZero, Wormhole, Axelar, or similar).
Library / SDK API design taste.
You've built reusable, import-first developer libraries, not just applications. You have opinions on extensibility patterns (hooks, modular components, override points) and on what makes an audited primitive
pleasant
to consume.
Experience applying AI to security work.
You've already used AI as a serious instrument in security workflows: audit assistance, vulnerability research, fuzzing, invariant or spec analysis, static-analysis augmentation, or similar.
Hands-on experience with non-EVM ecosystems.
Starknet, Stellar/Soroban, Arbitrum Stylus, Aptos, Move-based chains.
Open-source contributions
to widely-used libraries in the smart-contract or AI-tooling space.
Logistics
Our interview process is designed to be fast (we target ~30 days from first call to offer) while still giving both sides a clear "yes." The full process consists of:
Recruiter interview (30-45 minutes)
Manager interview (60 minutes)
Team interview (45 minutes)
Leadership Interview (30 minutes)
Paid technical work trial
Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
Benefits
Meet your teammates at company gatherings around the world 😎
Enjoy the flexibility of fully remote work 🌎
Take the time you need with flexible time off 🏝
Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙
Build your ideal home office with up to $500 in equipment support 🪑
Stay covered with medical insurance 🏥
Keep growing with learning and development opportunities 🧠
Get a monthly stipend for your preferred co-working space 💻
At
OpenZeppelin
, we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us!
Use of AI as part of the recruiting process
As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s
Data Privacy Notice
.
If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery.
What You’ll Be Doing
Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs.
Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams.
AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize.
Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements.
Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health.
What We Look For In You
Education:
Bachelor's degree or above in Computer Science, Software Engineering, Statistics, or a related field.
Work Experience:
5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search / recommendation systems, or AI products. Web3 industry experience is a plus.
Technical Skills:
Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation.
Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued.
Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience.
Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies.
Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community.
Soft Skills:
Strong execution discipline, attention to detail, and ownership over delivery quality.
Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces.
Excellent communication and collaboration skills with engineering, data, and data science teams.
Fluent in English and Chinese.
Nice to Haves
Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies.
Experience with on-chain trading and an understanding of on-chain opportunity discovery processes.
Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-MX1
#LI-ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery.
What You’ll Be Doing
Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs.
Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams.
AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize.
Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements.
Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health.
What We Look For In You
Education
: Bachelor’s degree or above in Computer Science, Software Engineering, or a related field.
Work Experience
: 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search/recommendation systems, or AI products. Web3 industry experience is a plus.
Technical Skills
:
Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation.
Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued.
Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience.
Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies.
Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community.
Soft Skills
:
Strong execution discipline, attention to detail, and ownership over delivery quality.
Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces.
Excellent communication and collaboration skills with engineering, data, and data science teams.
Fluent in English and Chinese.
Nice to Haves
Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies.
Experience with on-chain trading and an understanding of on-chain opportunity discovery processes.
Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
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
#LI-MX1
#LI-ONSITE
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: US, San Diego, CA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We’re scaling from prototypes to manufacturing, and the process maturity needs to match. This role owns the secure manufacturing pipeline — the procedures, tooling, and controls that take a bare board in an untrusted CM facility and turn it into a cryptographically enrolled, OTA-ready device that our cloud fleet trusts. You’ll be the bridge between our secure boot/firmware teams and the cloud control plane, connecting them at the point of manufacture.
WHAT YOU'LL DO
- Design the secure manufacturing station — Architect the hardware, software, and network stack (HSM, key injection, AWS Private CA) for factory floor provisioning stations. Integrate the secure boot fuse/flashing flow from our secure boot/firmware team.
- Build the provisioning toolchain — Own the automation pipeline that takes a bare device through identity provisioning, enrollment, firmware flashing, calibration, and functional test.
- Bridge device and cloud identity Enroll every device into a registry with correct credentials for OTA, session heartbeating, and deployment tracking.
- Own the End-Of-Line (EOL) test framework — Work with globally distributed teams to define pass/fail criteria for devices leaving the line: sensor calibration, actuator checks, and initial OTA health check.
- Work with contract manufacturers —Translate security requirements into CM-executable procedures; threat-model the factory for key leakage, firmware tampering, and supply chain substitution.
- Maintain chain of custody — Link each physical serial number to its provisioned identity, calibration records, test results, and firmware version at manufacture.
- Collaborate across teams — Work daily with a globally distributed team of firmware, cloud, manufacturing, systems and operational team members.
WHAT WE'RE LOOKING FOR
- 10+ years of experience which includes manufacturing engineering, with a comparable depth of experience developing test tools and frameworks. Plus experience working with networking in a manufacturing environment, and time focused on secure device provisioning and/or secure manufacturing processes. Ideally 3 years at a Staff level or equivalent.
- PKI and device identity — Experience with X.509 certificate lifecycles, mTLS, device authentication and attestation, and managed CA services like AWS Private CA.
- AWS infrastructure — S3, IAM, ECS, KMS, CloudHSM and Secrets Manager for secure provisioning workflows.
- EOL test and calibration — Hands-on experience defining manufacturing test frameworks, experience with hardware test fixtures.
- Scripting and automation — Advanced skills in Python or Bash for developing production-grade provisioning toolchains.
- Advanced skills and understanding of Rust, Bazel, Systemd
- Embedded Linux systems — Experience with NVIDIA Jetson Orin/Thor platforms.
- Secure manufacturing design — Ability to design secure processes for untrusted or semi-trusted offshore CMs and air-gapped station design.
- Experience managing quality gates with contract manufacturers
- Hardware root of trust understanding — General understanding of secure boot chains, TPM/TrustZone, cryptographic key injection, certificate provisioning, and eFuse programming.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $260,000–$320,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: Anywhere
Workplace: Remote
Molecule and BIO.xyz are building the foundation of Decentralized Science (DeSci) — where biotech meets web3 to make scientific research community-owned, transparent, and faster to market.
Molecule provides the infrastructure to turn intellectual property (IP) into programmable, on-chain assets through our IP-NFT framework and evolving protocol stack. This enables researchers, patients, and communities to fund and govern biotech projects in new, open ways.
BIO.xyz http://Bio.xyz is the coordination and economic layer of DeSci, powering BioDAOs through funding, governance, and ecosystem alignment.
Together, we are creating a new model for scientific discovery — one where breakthroughs are owned and advanced by the communities that believe in them.
THE ROLE
You will be an AI Scientist at Molecule. In your first four weeks, you will live on-site, embedded with the founding team, and ship your first autonomous agent fleet into production against a real disease area. From day one you own the loop: design the agents, deploy them, pilot them, iterate, and generate scientific output that moves IP forward.
This is not a research role with a roadmap handed to you. You will pick targets, stand up infrastructure, recruit your sub-agents, and prove that autonomous science works at the bench-to-IP level. After the residency, you scale: more fleets, more disease areas, more shots on goal.
WHAT YOU'LL DO
- Architect and deploy fleets of scientific agents spanning literature mining, target identification, molecular design, assay design, and data analysis
- Pilot each fleet against a specific disease area and drive it to a tangible deliverable — a validated target, a candidate molecule, a novel dataset, an IP-NFT
- Run multiple fleets in parallel across disease areas, reporting results directly to the CEO
- Own the full stack: agent design, orchestration, evaluation, and scientific judgment on outputs
- Define and set the standard for how autonomous science gets done at Molecule
WHO YOU ARE
- Entrepreneurial to the core. You ship. You don't wait for permission.
- Technically deep across LLMs, agent frameworks, and at least one wet-science domain - chemistry, biology, pharma, structural biology, or genomics
- Comfortable with ambiguity. You may be the only person in the room who knows how to do what you do, and that energizes you
- Credential-agnostic. PhD, MSc, BSc, or straight from high school - output matters, not titles. If you hold a degree, it should be from a top-tier institution (Oxbridge, Ivy League, MIT, Caltech, Stanford, ETH/EPFL, Imperial, or equivalent). If you skipped the degree, show us what you built instead.
- All-in on intensity. Willing to live on-site for 4 weeks and operate at founder pace
WHAT WE OFFER
- An early seat at the company building the infrastructure for autonomous science
- Direct ownership over a frontier no one else is running at
- The fastest path from idea to deployed IP that exists in biotech today
We are an equal opportunity employer. We are committed to equality and weaving a community that values diverse perspectives and experiences and are actively seeking a diverse pool of applicants. All employment decisions are made without regard to race, colour, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law.
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We are seeking a skilled & hands-on Senior Security Architect for Kraken Security Labs. Kraken Security Labs provides boutique-style, deeply technical internal security consulting on current and future products.
We don't merely provide high-level guidance but indeed get deeply embedded in the different engineering teams and do not mind hands-on work.
Our projects span from classical infrastructure security projects, over cryptography, web3, and complex Rust projects, to securing our next generation of AI products.
You will work in a small, highly technical team and collaborate with teams all across the company & world.
THE OPPORTUNITY
- Design, review & verify robust security architecture in a heterogeneous environment
- Conduct thorough security assessments and audits of existing architectures, recommending practical improvements
- Stay updated with latest (blockchain) security trends, threats and mitigation techniques
- Provide expertise to our blockchain teams, ensuring secure operational practices
WHAT YOU BRING
- Proven experience as an IT security expert, with a strong background in application security
- Experience in security testing diverse application
- Experience with infrastructure security
- Basic familiarity with security frameworks (OWASP, NIST, etc)
- Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment
- Strong communication and collaboration skills to effectively remotely work with stakeholders across the organization
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We are seeking a skilled & hands-on Senior Security Architect for Kraken Security Labs. Kraken Security Labs provides boutique-style, deeply technical internal security consulting on current and future products.
We don't merely provide high-level guidance but indeed get deeply embedded in the different engineering teams and do not mind hands-on work.
Our projects span from classical infrastructure security projects, over cryptography, web3, and complex Rust projects, to securing our next generation of AI products.
You will work in a small, highly technical team and collaborate with teams all across the company & world.
THE OPPORTUNITY
- Design, review & verify robust security architecture in a heterogeneous environment
- Conduct thorough security assessments and audits of existing architectures, recommending practical improvements
- Stay updated with latest (blockchain) security trends, threats and mitigation techniques
- Provide expertise to our blockchain teams, ensuring secure operational practices
WHAT YOU BRING
- Proven experience as an IT security expert, with a strong background in application security
- Experience in security testing diverse application
- Experience with infrastructure security
- Basic familiarity with security frameworks (OWASP, NIST, etc)
- Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment
- Strong communication and collaboration skills to effectively remotely work with stakeholders across the organization
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Tbilisi, Georgia
Workplace: remote
At Novakid, we’re building one of the world’s most engaging online English-learning platforms for kids. Today, we serve 100,000+ students and work with 4,000 + teachers across 15+ countries.
We’ve already proven the demand. Now we’re scaling the platform, expanding AI-driven learning experiences, and rethinking how our backend should evolve for the next stage of growth.
This is where you come in.
About the Role
Novakid is hiring a
Head of Data & Analytics
to lead the next stage of our analytics evolution — transforming a strong existing foundation into a modern, AI-enabled decision system that scales with the business.
This is a strategic leadership role with broad scope: you'll own the analytics organization, the technology transformation, data science, and the data culture across the company. You won't be starting from scratch — you'll be accelerating a transformation already underway.
What You'll Lead
Analytics Strategy & Operating Model
Define how data and analytics supports growth, product development, commercial performance, and operations. Shape what is self-serve, AI-assisted, automated, and expert-led.
Analytics Team Leadership
Lead a team of analysts embedded across product squads and business functions. Raise the bar on speed, strategic impact, and self-service enablement while keeping analysts focused on the highest-value work.
AI-Powered Analytics
Scale practical AI use cases: natural-language data access, AI-assisted insight generation, anomaly detection, automated reporting, and productivity tooling for analysts and stakeholders.
Experimentation & A/B Testing
Strengthen Novakid's experimentation culture — making it faster and easier to design, launch, measure, and learn from experiments without heavy analyst involvement at every step.
Data Science
Build a structured, high-impact data science capability spanning ML for business use cases, forecasting, experimentation support, AI-powered product features, and research for new learning experiences.
Metric Governance & Data Foundation
Drive clearer KPI ownership, stronger documentation, and a trusted semantic layer across Product, Growth, Sales, Marketing, and Finance — reducing ambiguity and conflicting interpretations.
What Success Looks Like
Faster turnaround on common business questions and broader stakeholder self-service
A modern AI-enabled analytics capability adopted across the company
A stronger experimentation practice with less dependency on analyst bandwidth
Clear KPI ownership and trusted, well-documented data
A well-structured data science function supporting both business and product innovation
Strong executive confidence in data-driven decision-making
What We're Looking For
Significant leadership experience in analytics, BI, or data functions within high-growth digital businesses
Proven track record transforming analytics toward scalable, self-serve, AI-enabled models
Strong technical grounding in modern data stacks, cloud warehouses (we use BigQuery), BI tooling, and semantic modeling
Hands-on SQL fluency and solid understanding of analytics engineering principles
Experience leading or reshaping embedded analyst teams
Practical, hands-on experience applying AI in analytics at scale
Experience building or rebuilding a data science function spanning business support and product features
What we offer…
Fully remote work
A chance to shape the future of AI-driven education.
A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver.
Bonuses and stock options – we grow together
Location: Manila, Philippines
Role Overview
We are looking for a creative, hands-on Python / AI Solutions Full-Stack Developer to help design, build, and deploy AI-powered solutions for customers. This person will work across the full delivery lifecycle: understanding customer needs, designing technical approaches, building Python services and full-stack applications, integrating with third-party systems, and delivering reliable solutions that create measurable business value.
The ideal candidate is comfortable moving quickly in a small team, thinking creatively through ambiguous problems, and connecting AI capabilities with real-world systems through APIs, MCP, data workflows, and modern application development.
Key Responsibilities
Design, develop, and deploy Python-based AI applications, automation workflows, and customer-specific software solutions.
Build full-stack applications, including backend services, frontend interfaces, databases, authentication flows, and deployment pipelines.
Create, consume, and maintain APIs, including REST, GraphQL, webhooks, SDK-based integrations, and enterprise authentication patterns such as OAuth.
Develop and integrate Model Context Protocol (MCP) servers, tools, resources, and client workflows that connect AI systems with external applications and data sources.
Translate customer requirements into practical technical designs, prototypes, proofs of concept, and production-ready implementations.
Integrate AI solutions with customer systems such as CRMs, ERPs, ticketing platforms, data warehouses, collaboration tools, and custom internal applications.
Work with LLMs, agentic workflows, retrieval-augmented generation, structured outputs, prompt orchestration, and evaluation approaches where appropriate.
Collaborate closely with product, engineering, customer success, and leadership in a small-team environment where ownership and flexibility matter.
Write clean, maintainable, well-tested code and contribute to reusable components, integration patterns, and internal technical standards.
Participate in customer demos, technical discovery conversations, solution reviews, and post-deployment support as needed.
Required Qualifications
Strong professional experience with Python and modern backend frameworks such as FastAPI, Flask, or Django.
Full-stack development experience, including JavaScript or TypeScript and a modern frontend framework such as React, Next.js, Vue, or similar.
Proficiency designing and integrating APIs, including authentication, authorization, pagination, rate limits, error handling, and observability.
Hands-on experience with MCP or comparable tool/plugin protocols used to connect AI assistants, agents, and applications to external systems.
Experience building AI-enabled applications using LLM APIs, orchestration frameworks, vector databases, RAG patterns, or agent-based workflows.
Solid understanding of databases, including SQL and at least one NoSQL or search/vector-oriented data store.
Experience with Git, Docker, automated testing, CI/CD concepts, and deploying applications to cloud or cloud-adjacent environments.
Ability to break down ambiguous customer problems and propose creative, practical technical solutions.
Strong communication skills and comfort explaining technical tradeoffs to both technical and non-technical stakeholders.
Preferred Qualifications
Experience with cloud platforms such as AWS, Azure, Digital Ocean, or Google Cloud, especially serverless, containerized, or managed AI services.
Experience with AI platforms and tooling such as OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, semantic search, embeddings, or evaluation frameworks.
Background integrating with common business platforms such as Salesforce, HubSpot, ServiceNow, Jira, Confluence, Slack, Microsoft 365, Google Workspace, or custom enterprise systems.
Experience with data engineering, ETL/ELT, workflow automation, event-driven systems, or queue-based architectures.
Familiarity with security, privacy, and governance considerations for customer-facing AI solutions.
Consulting, agency, startup, or customer-facing software delivery experience.
What Makes Someone Successful in This Role
Creative problem-solver who can move from idea to prototype to production without needing a large team around them.
Systems thinker who understands how APIs, data, user experience, and AI capabilities fit together.
Comfortable with ambiguity, changing requirements, and fast iteration based on customer feedback.
Pragmatic builder who balances innovation with reliability, maintainability, security, and cost.
Collaborative teammate who communicates openly, shares context, and helps raise the technical bar for the team.
Representative Technology Stack
Python, FastAPI/Flask/Django, JavaScript/TypeScript, React/Next.js, REST/GraphQL APIs, MCP, Docker, Git, SQL, NoSQL, vector databases, LLM APIs, cloud services, CI/CD, and modern integration tooling.
Working Style
This is a hands-on role in a small team. The right person will be expected to contribute across architecture, coding, integration, troubleshooting, customer communication, and delivery. They should enjoy building useful AI solutions in the real world, where creativity, technical judgment, and follow-through matter as much as raw coding ability.
Your partner for AI, consulting, software development, and nearshore staffing.
San Francisco, CA | New York City, NY | Seattle, WA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридleadNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
География найма не уточнена
Hybrid - London
УдалённоseniorГеография найма не уточнена
seniorSingapore, Singapore
seniorHong Kong, Hong Kong SAR
ОфисseniorГеография найма не уточнена
УдалённоМожно работать из любой страны
УдалённоUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоUnited Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
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