Location: San Francisco, CA | New York City, NY
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
Anthropic's customers renew on a mix of committed and consumption contracts, and the number of renewals is growing faster than any team of people could keep pace with. We don't want to answer that by hiring hundreds of renewal managers. We want renewals to run as a system: Claude and agents do most of the work, from spotting risk to drafting the offer to closing a standard renewal in product, and people step in where judgment, negotiation or relationships matter.
You'll design, build and run that system. You'll own the renewal outcome for the business globally and the product and technology that delivers it. You'll lead a small team of builders and the human layer, internal specialists and outsourced partners, that handles what agents can't yet. You'll work closely with Sales, Customer Success, Deal Desk, Finance, Billing and Product Engineering.
This is a Claude-first role. You'll use Claude every day to do your own work, and the renewal function will be one of the clearest examples inside Anthropic of what AI-run operations look like.
What you'll own in your first year
The design of the renewal system: which work agents run end to end, which work goes to a person, and the handoff rules between them.
A standard renewal that needs no person: a Claude-generated offer in product ahead of term end, accepted and provisioned automatically, with anything outside guidance routed to a seller with a recommended quote.
The data the system runs on: contract, commit burndown and usage data clean enough that agents and people trust it, built with Billing and Finance.
Early-warning signals for consumption risk and commitment shortfall, and what happens when one fires.
The human layer: how internal specialists, outsourced partners and account teams work around the agents, and the measures they're held to.
The next large renewal cycles, run with fewer manual steps per renewal than today.
Weekly renewal and retention forecasts grounded in usage and contract data.
Executive renewal conversations on the largest and most complex accounts, alongside account teams.
You may be a good fit if you have
Owned renewal, retention or post-sale outcomes at large scale, either running the function or leading the product or service that runs it for others.
Led product or engineering teams and shipped software or agents that took over work people used to do.
Run or designed a blended model of people, outsourced partners and software, and know where each one breaks.
A working grasp of renewal economics: committed and consumption contracts, discount guidance, and the term, billing and CRM data behind them.
Built things yourself recently. You can prototype with Claude, read the data and pressure-test an agent's output without waiting on someone else.
Set direction with senior executives and held cross-functional teams to it without direct authority.
Strong candidates may also have
Usage-based pricing and commit burndown experience.
Built health, churn or early-warning models that changed what teams did.
Worked at a company whose product runs renewals, retention or quote-to-cash for its customers.
Worked across regions, including marketplace or cloud-partner billing.
Written or spoken publicly about agent-led customer operations.
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:
$350,000
—
$500,000 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: USA (Remote)
Workplace: Remote
Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value.
Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact.
THE ROLE
We’re hiring a Senior Dealmaker to shape and lead AI partnerships for Walrus, Mysten Labs’ decentralized storage network, across the ecosystem.
As AI agents take on more complex work, they need infrastructure that helps them retain context, handle sensitive information, and maintain a trustworthy record of their actions. With Walrus as the foundation for decentralized storage and persistent memory, we’re building toward that future with a broader stack that includes confidential compute—supporting product reliability and compliance as agents operate in the real world.
Your job is to determine where Walrus and these complementary capabilities can create the greatest value, build relationships with the right partners, and structure agreements that lead to meaningful integrations and adoption. You’ll focus on foundation model companies, AI platforms, data platforms, and adjacent infrastructure providers.
Working closely with the Head of Partnerships and Walrus product and engineering leadership, you’ll help set partnership priorities and independently lead complex opportunities from initial thesis through implementation. This is a senior individual contributor role with substantial ownership, requiring strategic judgment, commercial creativity, and hands-on execution.
WHAT YOU’LL DO
- Shape our AI partnership strategy. Develop a clear perspective on where Walrus can become essential infrastructure for AI applications and agents. Identify the partners, use cases, and market developments that should guide our investment of time and resources.
- Originate consequential partnerships. Build relationships with founders, executives, and technical decision-makers at foundation model companies, AI platforms, agent frameworks, data platforms, and adjacent infrastructure providers. Create opportunities before there is an established partnership motion.
- Define the opportunity alongside the partner. Understand how partners build, what their customers need, and where our technology can solve a meaningful problem. Work with product and engineering leadership to shape joint offerings, integration proposals, and commercial models.
- Structure and close complex deals. Lead negotiations involving technical integrations, joint product development, distribution, and commercial agreements. Navigate competing priorities and create structures that give both organizations a compelling reason to commit.
- Deliver integrations and adoption. Own relationships beyond signing. Align teams on scope, resources, and milestones; resolve obstacles; and keep partnerships moving toward implementation, launch, and sustained usage.
- Influence across the organization. Bring partner and market insights into product, engineering, marketing, and leadership discussions. Make clear recommendations, surface tradeoffs, and build alignment around opportunities that require investment across teams.
- Establish a repeatable approach. Turn early wins into sharper partner selection criteria, stronger deal structures, and more effective execution. Raise the quality of partnership work through sound judgment, shared learning, and mentorship.
WHAT YOU’LL HAVE
- Substantial experience in strategic partnerships or business development, typically 10–15+ years, with demonstrated ownership of strategically significant relationships in AI, data infrastructure, or developer platforms.
- Deep engagement in the AI ecosystem, including strong relationships with founders, executives, and product and technical leaders at relevant companies.
- A proven record of independently originating, structuring, negotiating, and closing complex partnerships that produced meaningful integrations, joint offerings, distribution, or adoption.
- The judgment to identify which opportunities deserve investment, articulate a compelling partnership thesis, and walk away when the strategic or commercial fit is weak.
- Strong product instincts and technical fluency. You can engage engineers on architectures and agentic workflows, uncover a partner’s underlying needs, and connect technical capabilities to business value.
- Credibility in the startup community and firsthand experience building with limited structure, resources, or established processes. You can point to opportunities you personally created and brought to market.
- The ability to think at enterprise scale while executing with startup urgency. You’re comfortable navigating executive stakeholders and handling the details needed to get an integration live.
- A track record of influencing senior stakeholders and aligning product, engineering, legal, and commercial teams without relying on formal authority.
- Creative commercial judgment, a bias for action, and accountability for outcomes through implementation and adoption.
- Curiosity about decentralized infrastructure and the ability to become fluent quickly. Prior Web3 experience is welcome; substantial AI ecosystem experience is essential.
- High ethical standards, direct communication, and comfort adapting as the product and market evolve.
- Ability to travel approximately 20% of the time, including internationally.
Location: San Francisco Bay Area preferred. We may consider exceptional candidates elsewhere who are deeply embedded in the AI ecosystem.
Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.
Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Location: Remote
Workplace: Remote
ABOUT US
Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
As a Senior Machine Learning Engineer in the Search Quality team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the systems that power relevance for global retailers - from fashion and grocery to electronics and hardware.
The mission is to measure search quality, push it higher, and catch degradations before the user does. You will achieve this through a blend of fine-tuned LLMs for relevance judgment, real-time models, and deep offline analysis of query logs.
ABOUT THE JOB
Your primary focus will be relevance evaluation and quality improvements:
- LLM-based evaluation. We fine-tune our own models to assess relevance. This involves teaching the model to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior.
- Real-time quality in production. Reranking, filtering, signal computation. Latency is a strict requirement, so quality vs speed tradeoff is constant.
- Automated quality monitoring and agentic insights. Pipelines to detect degradations and find underperforming patterns. Agent-based systems that generate actionable recommendations for the product data and search configurations.
WHAT MAKES THIS INTERESTING
- Multi-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides.
- No universal ground truth. A grocery retailer and a fashion retailer may have different perceptions on what "relevant" means.
- Efficiency at scale. Optimizing and scaling LLM inference across our entire customer base.
REQUIREMENTS
- 4+ years shipping production ML systems
- Experience with search, information retrieval, or recommendation systems
- Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments
- Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow)
- Experience designing and running A/B tests to validate model impact
- Excellent English communication skills
- Experience collaborating in cross-functional teams (ranking, product, data engineering)
BENEFITS
- 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
- 🎉 Regular team offsite events to connect and collaborate.
- 🌎 Fully remote team - choose where you live.
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office.
- 💻 Apple laptops provided for new employees.
- 🧑🎓 Training and development budget for every employee, refreshed each year.
- 👪 Maternity & Paternity leave for qualified employees.
- 💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Values Value is recruiting an experienced Game Director for a new premium PC/Console project at AA scope with a Warsaw-based independent studio. The role is close to co-founder level with influence and responsibility, including a path to co-ownership of the studio.
Задачи:
— Определять начальную концепцию игры (жанр, основная идея, опыт игрока).
— Оценивать существующие прототипы и решать, развивать, перестраивать или менять концепцию.
— Представлять и согласовывать концепцию игры с основателями, командой и инвестором.
— Определять и развивать игровые системы, основной цикл, структуру повествования, создание мира и визуальное направление.
— Руководить процессом прототипирования и проверять идеи через игровые итерации.
— Давать структурированную, конструктивную обратную связь командам дизайна, искусства и повествования.
— Отстаивать творческое направление, включая давление на CEO при необходимости.
— Поддерживать ясность направления в течение разработки, избегая ненужных изменений.
— Строить доверие с командой, устанавливать лидерство и авторитет в первые шесть месяцев.
— Участвовать в решениях по найму ключевых творческих ролей.
— Взаимодействовать с инвестором на творческих обзорах.
— Сотрудничать с основателями по стратегии продукта и студии.
Требования:
— Опыт в игровой индустрии не менее 6 лет.
— Опыт в творческом руководстве (Game Director, Design Director, Creative Director или аналогично).
— Опыт работы с премиальными PC/Console играми, предпочтительно survival, RPG, action-adventure или однопользовательскими проектами.
— Сильное творческое видение и способность вовлекать других.
— Глубокое понимание игровых систем, опыта игрока и повествования, особенно в AAA и iii играх.
— Умение работать с ранних этапов концепции и определять направление продукта.
— Способность принимать решения в условиях неопределенности.
— Знание тенденций индустрии и ожиданий игроков.
— Лидерские качества, умение решать проблемы и согласовывать команду.
— Баланс творческих амбиций и производственных ограничений.
— Практический английский для объяснения сложных творческих концепций и ведения обсуждений.
— Польский язык будет плюсом.
— Готовность к релокации в Варшаву или значительному присутствию на месте.
Будет плюсом:
— Опыт выпуска хотя бы одной игры в творческой роли.
— Опыт основателя или ранней команды в небольшой или средней студии.
— Опыт ведения проекта от прототипа до производства.
— Устойчивость и способность доводить проекты до конца несмотря на трудности.
Условия:
— Трудоустройство по B2B или стандартному трудовому договору.
— Фиксированная месячная ставка, зарплата в PLN.
— Офис или гибридный формат работы в Варшаве, основные часы 11:00–16:00.
— Оплачиваемый отпуск и больничные.
— Частная медицинская страховка.
— Карта Multisport (спортзалы, бассейны и др.).
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 an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.
You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.
Key responsibilities
Deep dive into user behavior data to provide insights on safety concerns
Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company
Minimum qualifications
Expertise in Python, SQL, and data visualization tools.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
A deep curiosity and energy for pulling the thread on hard questions.
Experience in turning open questions and data into concise and insightful analysis.
Highly effective written communication and presentation skills.
A passion for the company's mission of building helpful, honest, and harmless AI.
Preferred qualifications
8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
3+ years of experience deeply embedding in Product teams.
Experience working on safety, anti-abuse, integrity shaped problems.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$285,000
—
$380,000 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: Remote - EMEA
Workplace: Remote
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
ABOUT YOU
You're a product designer who owns problems, not screens. You're comfortable with ambiguity, can partner with PMs to shape direction, and know how to translate research insights into production-ready interfaces, working closely with engineers. You ship work that matters.
THE TEAM
Our AI Agent Tools team is building a new category of e-commerce experience: intelligent agents that guide shoppers, learn from merchandiser expertise, and drive real business outcomes. This is one of the most consequential design problems in retail right now, and it's wide open.
REQUIREMENTS
The Role
You'll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI.
- You'll define what agentic shopping looks like — Not just chatbots bolted onto search, but genuinely new interaction patterns where AI understands what a shopper wants and helps them get there. There's no established playbook here. The patterns you set will shape how the rest of the industry approaches it.
- You'll shape how merchandisers control it — You will collaborate with Agent Orchestrators—professionals blending data analysis, design, and shopper psychology—to design the dashboard tools that allow them to configure, train, and optimize new shopping journeys without engineering support.
- You'll prove it works in the real world — From running UI experiments on live retailer sites to validating new shopping experiences with actual shopper data, your designs ship and get measured.
What You'll Own
- Research & validation — Conducting shopper research and running experiments alongside product and data teams to validate hypotheses with real input.
- Interaction design for agentic experiences — Mapping novel user flows where AI/LLMs drive the shopping journey, for both shoppers and the merchandisers who orchestrate them.
- Visual strategy — Defining a bold design direction that represents what product discovery looks like in 2027.
- High-fidelity delivery — Producing final mockups and assets across key surfaces: homepage, search, PDP, filtering, guided shopping, and agent configuration.
- UX patterns — Ensuring designs scale within Constructor's evolving design system and component library.
What We Value Beyond Craft
Beyond being a thoughtful designer, user advocate, and strong collaborator, here are a few things we really value:
- A goal-oriented, iterative mindset — You focus on solving high-impact problems and are comfortable learning, improving, and shipping quickly.
- Practical experience with research — You’ve led user interviews, usability tests, and data analysis.
- Experience designing for unfamiliar problems — You’ve worked on products where you had to understand complex workflows outside your own experience—especially in B2B contexts.
- Systems thinking — You spot patterns, define systems, and design scalable, reusable solutions.
BENEFITS
- 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
- 🎉 Regular team offsite events to connect and collaborate.
- 🌎 Fully remote team - choose where you live.
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office.
- 💻 Apple laptops provided for new employees.
- 🧑🎓 Training and development budget for every employee, refreshed each year.
- 👪 Maternity & Paternity leave for qualified employees.
- 📈 Stock options - offered in addition to the base salary
Diversity, Equity, and Inclusion at Constructor
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Berlin, Germany
Workplace: hybrid
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a Account Executive to join one of our clients' team.
To further drive this growth, we are looking for a Full-Cycle Account Executive (m/f/d) who will be responsible for the entire sales process – from initial contact and consultation to successful closing – and take our sales to the next level 🚀
You already have initial experience as an Account Executive - ideally in the B2B SaaS environment.
Ideally, you have already worked with HubSpot – but more important to us is that you use comparable CRM systems securely and maintain them properly.
You are characterized by a structured and organized way of working.
You speak German at a native speaker level and English at a B2 level.
You are career-driven and motivated to take on responsibility.
You are a real team player.
Tasks
You are responsible for the entire sales process – from the initial contact to the closing.
You conduct compelling product demos and consultations with qualified and self-generated leads.
You actively build your pipeline , develop it strategically, and keep it clean in HubSpot.
You work closely with Customer Success and Product , and directly incorporate customer feedback into positioning and product development.
You know your sales KPIs , control your funnel based on data, and continuously optimize your conversion output.
You actively contribute to the further development of our sales playbooks and processes.
Benefits
Clear development roadmap
Employee benefits such as Wellhub or Deutschland-Ticket
Yearly Company Offsite
Weekly Team Breakfast & Bi-Weekly Lunch
Regular team events
Cool office in Berlin with ping pong & darts
An ambitious, friendly, and honest team
Location: Czech Republic - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Group Product Manager to lead Wrike’s Core unit — the product area at the heart of how customers plan, structure, manage, and scale work in Wrike.
In this role, you will lead a unit of five product teams and manage a team of five Product Managers. You will define the vision and strategy for Core Wrike going forward, balancing three critical forces: increasing product power, preserving ease of use, and evolving the experience to be suitable for the AI-native future.
This is a high-impact leadership role for someone who can combine strong product judgment, people leadership, customer empathy, and strategic prioritization. You will help shape the foundation of Wrike’s product experience while developing a team of PMs into stronger strategic product leaders.
Your Impact:
Set the Core strategy: Define and evolve the vision, strategy, and priorities for Wrike’s Core unit, ensuring the product remains powerful, scalable, easy to use, and ready for AI agents collaboration as well as for human.
Lead a multi-team product area: Manage five Product Managers across five teams, ensuring clarity of ownership, strong decision-making, and consistent product quality across the unit.
Prioritize ferociously: Balance customer requests, enterprise needs, technical investments, usability improvements, and long-term strategic bets — with a clear view of what matters most.
Enable AI-native R&D: Contribute to building the processes, tooling, and mindsets needed for the R&D organization to scale output and outcomes by 10x with AI-native ways of working.
Develop the PM team: Coach, mentor, and grow Product Managers, helping them to achieve the next level.
Your Qualifications:
Product leadership experience: Proven experience leading product managers or managing a complex product area with multiple teams and stakeholders.
Strong core PM craft and customer-centric mindset: Deep understanding of product discovery, customer validation, roadmap strategy, prioritization, metrics, and product delivery.
Enterprise SaaS experience: Strong knowledge of B2B SaaS and enterprise customer needs, including scalability, adoption, usability, configurability, and change management.
Strategic prioritization: Ability to make hard trade-offs across incomparable investments, customer escalations, technical complexity, and long-term platform direction.
Cross-functional leadership and stakeholder management: Ability to align teams and stakeholders across Product, Engineering, Design, GTM, and executive leadership.
People management skills: Experience coaching, mentoring, hiring, developing, and managing performance of product managers.
Excellent UX judgment: Ability to balance power and simplicity in complex product experiences.
Standout Qualities:
Experience in B2B SaaS enterprise products in collaboration or productivity area
Practical understanding of AI-native product development and agentic workflows.
Visionary mindset and ability to redefine complex products vision
Strong technical fluency and ability to partner effectively with engineering leaders.
Our Work Style:
Core product impact: You will shape the foundational Wrike experience used by customers every day to manage work at scale.
Strategic complexity: The role requires balancing power, simplicity, customer demand, technical depth, and AI-readiness in one of Wrike’s most important product areas.
People leadership scope: You will directly develop a team of five PMs and influence the product culture of a larger R&D unit.
AI-native transformation: You will help define how Core Wrike evolves for a future where AI changes how teams create, structure, and manage work.
High visibility: Your decisions will influence Wrike’s product direction, customer value, and long-term competitiveness.
Benefits & Perks:
5 Weeks of paid vacation
Sick Leave Compensation
5 Paid Uncertified Sick Days
2 weeks fully paid w/ medical certificate, additional
4 weeks paid at 80% salary rate
Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Meal Vouchers (CZK 220 per working day)
Annual Prague Travel Card (Lítačka)
Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus
What’s Next?
Exploratory call with a Recruiter
Meeting with the hiring manager - Product Director
Panel interview with Product, Engineering, and Design representatives
Home task
Final interview with the CPO
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Cyprus - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We’re looking for a Group Product Manager to lead Wrike’s Core unit - the product area at the heart of how customers plan, structure, manage, and scale work in Wrike.
In this role, you will lead a unit of five product teams and manage a team of five Product Managers. You will define the vision and strategy for Core Wrike going forward, balancing three critical forces: increasing product power, preserving ease of use, and evolving the experience to be suitable for the AI-native future.
This is a high-impact leadership role for someone who can combine strong product judgment, people leadership, customer empathy, and strategic prioritization. You will help shape the foundation of Wrike’s product experience while developing a team of PMs into stronger strategic product leaders.
Your Impact:
Set the Core strategy: Define and evolve the vision, strategy, and priorities for Wrike’s Core unit, ensuring the product remains powerful, scalable, easy to use, and ready for AI agents collaboration as well as for human.
Lead a multi-team product area: Manage five Product Managers across five teams, ensuring clarity of ownership, strong decision-making, and consistent product quality across the unit.
Prioritize ferociously: Balance customer requests, enterprise needs, technical investments, usability improvements, and long-term strategic bets — with a clear view of what matters most.
Enable AI-native R&D: Contribute to building the processes, tooling, and mindsets needed for the R&D organization to scale output and outcomes by 10x with AI-native ways of working.
Develop the PM team: Coach, mentor, and grow Product Managers, helping them to achieve the next level.
Your Qualifications:
Product leadership experience: Proven experience leading product managers or managing a complex product area with multiple teams and stakeholders.
Strong core PM craft and customer-centric mindset: Deep understanding of product discovery, customer validation, roadmap strategy, prioritization, metrics, and product delivery.
Enterprise SaaS experience: Strong knowledge of B2B SaaS and enterprise customer needs, including scalability, adoption, usability, configurability, and change management.
Strategic prioritization: Ability to make hard trade-offs across incomparable investments, customer escalations, technical complexity, and long-term platform direction.
Cross-functional leadership and stakeholder management: Ability to align teams and stakeholders across Product, Engineering, Design, GTM, and executive leadership.
People management skills: Experience coaching, mentoring, hiring, developing, and managing performance of product managers.
Excellent UX judgment: Ability to balance power and simplicity in complex product experiences.
Standout Qualities:
Experience in B2B SaaS enterprise products in collaboration or productivity area
Practical understanding of AI-native product development and agentic workflows.
Visionary mindset and ability to redefine complex products vision
Strong technical fluency and ability to partner effectively with engineering leaders.
Our Work Style:
Core product impact: You will shape the foundational Wrike experience used by customers every day to manage work at scale.
Strategic complexity: The role requires balancing power, simplicity, customer demand, technical depth, and AI-readiness in one of Wrike’s most important product areas.
People leadership scope: You will directly develop a team of five PMs and influence the product culture of a larger R&D unit.
AI-native transformation: You will help define how Core Wrike evolves for a future where AI changes how teams create, structure, and manage work.
High visibility: Your decisions will influence Wrike’s product direction, customer value, and long-term competitiveness.
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
What’s Next?
Exploratory call with a Recruiter
Meeting with the hiring manager - Product Director
Panel interview with Product, Engineering, and Design representatives
Home task
Final interview with the CPO
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
The SRE team is dedicated to deeply integrating large language models (LLMs), AI Agents, and engineering platform capabilities to build an intelligent application system for R&D, operations, stability, and business scenarios. By creating an AI application architecture that is observable, evaluable, governable, and continuously evolving, the team is driving the company's shift from "tool-assisted" to "intelligent collaboration," improving R&D efficiency, system stability, fault diagnosis efficiency, and the quality of business decisions.
What You’ll Be Doing
Design and build AI Harness capabilities for SRE / DevOps scenarios, including fault detection, change analysis, capacity risk identification, automated inspection, drill evaluation, and recovery recommendations.
Drive the development of an automated RCA (Root Cause Analysis) system, combining logs, metrics, distributed tracing, events, changes, topology, and other data to achieve root cause analysis, impact scope assessment, and post-incident review support.
Build AIOps platform capabilities, including intelligent alert noise reduction, anomaly detection, event correlation, trend prediction, fault attribution, and automated closed-loop remediation.
Collaborate with R&D, SRE, platform, data, and business teams to embed AI capabilities into Code Review, CI/CD, GitOps, DevOps, incident response, and stability governance processes.
What We Look For In You
Bachelor's degree or above in Computer Science or a related field, with 8+ years of experience in R&D, architecture, or platform engineering; experience building AI applications, SRE, AIOps, or DevOps platforms is preferred.
Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering.
Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms.
Experience delivering AI Agent or intelligent assistant products, able to design complex task decomposition, multi-tool invocation, multi-turn reasoning, context management, and human-machine collaboration workflows.
Familiar with RCA or AIOps capability development, including log analysis, metric anomaly detection, distributed tracing, event correlation, alert noise reduction, topology analysis, and root cause localization.
Proficient in at least one mainstream development language, such as Java, Python, Go, or TypeScript, with strong engineering implementation and system design skills.
Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc.
Strong complex problem analysis skills and holistic architectural thinking, able to drive problem-solving from business, platform, process, and organizational collaboration perspectives.
Ability to communicate in both Chinese and English is preferred as the role requires collaborating with cross-region stakeholders
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 dependents
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Espoo
Workplace: Hybrid
- Title: Senior Software Engineer (Developer Enablement)
- Location: Espoo, Finland
- Department: Platform & Release Engineering
- Reports to: Team Lead Developer Enablement
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Software Engineer (Developer Enablement), you’ll remove friction between developers and delivery by building the platforms, tooling, and workflows that enable fast, reliable deployment of ICEYE’s mission-critical systems.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Build, maintain, and improve developer tooling, environments, and workflows to enable efficient software delivery
- Automate service-level deployments using GitOps principles and CI/CD pipelines
- Design, implement, and maintain on-premise software products and supporting infrastructure
- Support and manage production incidents, ensuring reliability and fast resolution
- Collaborate with software, platform, and product teams to provide scalable infrastructure abstractions
- Work with customer delivery teams to ensure systems are delivered, deployed, and maintainable in production environments
- Partner directly with developers to adopt new tooling and ways of working
- Identify high-impact areas in developer experience and drive improvements end-to-end
WHAT WE’RE LOOKING FOR
MUST HAVES:
- Strong experience operating and maintaining production-grade Kubernetes clusters
- Experience with CI/CD and DevOps practices, including automated deployments
- Proficiency in Python, Go, or similar languages, with ability to debug and troubleshoot
- Solid Linux system administration experience in production environments
- Experience with infrastructure as code and automation tooling
- Understanding of microservices architectures and distributed systems
- Experience with monitoring and logging solutions in production systems
- Ability to collaborate effectively and communicate clearly in English
NICE TO HAVES:
- Kubernetes certifications or equivalent practical expertise
- Familiarity with tools such as Terraform, Packer, or Ansible
- Experience with service mesh technologies such as Istio
- Experience with LGTM monitoring stack or similar observability tooling
- Understanding of software development best practices such as the Twelve-Factor App
- Background in earth observation, satellite systems, or ground segment software
APPLICATION PROCESS
- Recruiter screening
- Hiring manager interview
- Technical task
- Technical panel interview
- Final interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: New York, NY
Workplace: OnSite
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to candidates based near our NYC office or those willing to relocate.
Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — requires closing the loop between learned representations and real-world action. We're looking for a Robotics Engineer to bring our video-native foundation models onto real hardware: deploying world-model-based policies on real robots and making them work in the real world.
You will work across the full stack of robot learning — from data collection and task design, to policy deployment, to physical evaluation. This is a hands-on, execution-oriented role at the intersection of foundation models, learned robot policies, and hardware. You'll bring deep robotics domain expertise and help us ship world-model-based robot policies end-to-end, with applications ranging from manipulation to mobile robotics.
WHAT YOU’LL DO
- Own the deployment loop for learned policies (VLAs, diffusion policies, World Action Models) on real robot arms: inference serving, action decoding, controller integration, latency budgets, and safety limits
- Diagnose real-world policy failures — determining whether the problem is data coverage, camera/proprioception mismatch, or execution — and partner with the research team to fix it at the right layer
- Design demonstration data collection protocols (task setup, camera placement, teleop conventions) that produce data our world models can actually learn from — working with our existing teleop and lab infrastructure
- Partner with research to run controlled experiments connecting world model representations, data composition, and fine-tuning recipes to physical success rates
- Define and run physical evaluation protocols so results are trustworthy and comparable across policy iterations
- Adapt our policy recipe to partner hardware and new embodiments
WHAT YOU’LL NEED
- You have personally deployed software on real robot hardware and iterated to make it work — whether learned policies, motion planning, classical control, or perception-driven manipulation. You can walk through a specific system you shipped, what broke on the physical robot that didn't break in sim or testing, and how you fixed it.
- Fluency in the software-to-robot interface: action/command spaces, control frequencies, observation pipelines, calibration, and how each affects real-world behavior
- Comfort working at the intersection of software and physical systems: you can reconfigure a robot workspace and trace a policy failure in the same afternoon
- Bonus: direct experience deploying learned policies (VLAs, diffusion policies) on real hardware; experience with video/multimodal generative models or world models
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: San Jose, California (Hybrid)
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location:
San Jose, CA (Hybrid in office 2-3x a week)
Annual Salary:
$
100,000 - $130,000 USD (Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location)
Reports to:
Head of Party Cell
Employment Type:
Full-time
The Role
We're looking for a
Software Engineer
to help bring our product ideas to life within a fast-moving game cell focused on
gamifying fitness and developing healthy habits for the whole family
. You'll work closely with designers and engineers to prototype, iterate, and refine our products from concept to production.
What You’ll Do
Work closely with designers to scope out new experiences and features and implement it end-to-end.
Develop infrastructure, motion detection gameplay, UI, and support live-ops features
Optimize and polish
user experiences to ensure smooth, production-quality gameplay.
Evaluate and adopt new technologies
to improve development speed and product quality.
Work cross-functionally
with designers, product teams, and other engineers to deliver a seamless experience.
What You Bring
3+ years of game development or interactive software engineering experience.
Experience building
user-facing products from scratch
and shipping high-quality experiences.
Strong programming skills, preferably with
Unity (C#) or similar game engines.
Experience
optimising performance
and
artifact size
for mobile (Android) platforms.
A
product-minded approach
—you think about the user experience, not just the code.
Strong
problem-solving skills
and ability to work independently in a fast-paced environment.
Bonus: Experience with
fitness apps, or at-home fitness solutions.
If you're passionate about
blending gaming and fitness
to build experiences that make healthy habits fun, we’d love to hear from you!
#LI-Hybrid
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: New York, United States; San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. 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
Lifecycle marketing at OKX is evolving. We're not looking for someone to run campaigns — we're looking for someone to fundamentally rethink how we engage traders across the US market on one of the world's leading crypto platforms.
This is a leadership role for a marketer who thinks in systems, not sends. Someone who is comfortable defining a US-market engagement strategy as well as getting into the work to make it happen. Reporting to the Global Head of Lifecycle Marketing, you'll help define the vision, strategy, and output of lifecycle marketing for the US. Your execution layer is AI agents, cross-functional partners, and co-operating with the broader Lifecycle marketing team. That means your ability to train, direct, brief and critique is as important as your ability to set direction.
If your default mode is execution and program management or pure strategy and handoff, this isn't the role for you. If your default mode is leading from the front, and you have the craft and judgment to shape the work through strategic problem-solving, AI-native thinking, and a relentless focus on what quality looks like to actually move users — read on.
What You’ll Be Doing
Lifecycle Strategy & Vision
Define how OKX engages US users from acquisition through activation, retention, and reactivation — across segments and products. You'll set the strategic framework for the US market, working in close alignment with the Global Head of Lifecycle to ensure regional strategy ladders into global priorities. This means deeply understanding US crypto user behavior, identifying the highest-leverage moments in the lifecycle, and building programs that compound over time.
AI-Native Ways of Working
You will lead by example in embedding AI into every layer of lifecycle marketing — from ideation and content development to segmentation, testing, and analysis. Critically, this includes building and training agentic AI workflows: multi-step, autonomous systems that execute lifecycle programs at scale. You'll know the outcomes of poorly trained agents. You won't just adopt AI tools; you'll help determine which ones we build, which we leverage for each task, and how we use them to raise the ceiling on what a lean, high-performing team can deliver.
Insight-Led Decision Making
You'll be the person in the room who can translate user behavior data into a point of view — and then into a program. You'll develop a deep understanding of our user segments, their motivations, and the signals that predict engagement, conversion, and churn. Reporting and dashboards are a starting point, not the destination.
Cross-Functional Leadership
Lifecycle doesn't work in isolation. You'll build genuine partnerships with Product, PMM, Data, BI, Design, Legal, and regional teams — not just as a stakeholder manager, but as a strategic voice in how OKX grows. You'll influence roadmaps, shape go-to-market planning, and ensure lifecycle has a seat at the table early.
What We Look For In You
Strategic instinct.
You've led lifecycle programs that were defined by a clear strategic thesis. You can articulate why a program is designed the way it is, what user problem it solves, and how it ladders to business outcomes.
Demonstrated AI fluency.
You actively use AI in your day-to-day work, including agentic tools and autonomous workflows. You've built or directed the development of AI-powered systems/processes and can speak specifically to how you've trained agents, trained co-workers to use them, where you've course-corrected poor outputs, and where AI genuinely creates leverage versus where it doesn't. Using AI chat tools is a baseline, not a differentiator.
A user behavior obsession.
You think about users before you think about channels. You can read engagement data and form a hypothesis. You know the difference between a segment and a persona, and you know how to use both.
Ability to execute with speed and excellence:
You can look at a lifecycle program, a campaign brief, a piece of copy, or a targeting strategy and know immediately what's working and what isn't — and articulate why. You can develop these yourself when needed. This isn't primarily an executional role, but you bring enough craft and hands-on judgment to direct AI agents and cross-functional partners with precision, and to close the gap between strategy and output without losing quality.
Comfort with ambiguity and a bias toward action.
OKX moves fast. The crypto landscape moves faster. You'll be expected to make smart decisions with incomplete information, move quickly, and refine as you go — not wait for perfect conditions.
Demonstrated leadership through strategic change.
You've been in situations where direction shifted — market conditions, business priorities, platform constraints — and you didn't just adapt, you led. You can point to specific moments where you reoriented a team or program mid-flight, held quality standards under pressure, and came out with momentum intact.
Global perspective, local instinct.
You've worked across multiple markets and understand that a single lifecycle strategy rarely fits all. You know how to build frameworks that scale globally while giving regional teams the flexibility to be relevant locally.
Nice to Haves
15+ years in lifecycle, CRM, or growth marketing in a high-growth, fast-paced environment
Demonstrated track record of building lifecycle strategies that drove measurable impact on activation, retention, or LTV — not just engagement metrics
Meaningful AI adoption in your own workflows — you should be able to speak specifically to how you use it and what it's changed
Experience with Marketing Automation tool roll outs is an advantage
Experience in crypto, fintech, or financial services strongly preferred
Familiarity with CeFi/DeFi and genuine curiosity about the crypto space
Strong communication skills — you can present a strategy to a CMO and a campaign brief to a designer with equal clarity
Perks &
Benefits
Competitive total compensation package
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!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $200,000 - $300,000
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
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: Singapore
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 a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country/regional-specific analysis
Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Demonstrated experience working in and relevant relationships across the region
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
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: London, UK
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 a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country/regional-specific analysis
Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Demonstrated experience working in and relevant relationships across the region
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
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:
£195,000
—
£245,000 GBP
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: Toronto; Europe; London; New York
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
As a Senior Member of Technical Staff specializing in web data for pre-training, you will play a pivotal role in developing the large scale web data pipeline that underpins Cohere’s advanced language models. In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering. You will also analyze the composition and quality of web data, study its impact on downstream model performance, and collaborate closely with the broader data and evaluation teams to iterate on the training corpus.
Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. (EST/EU)
Key Responsibilities:
- Maintain large-scale pipelines for processing web corpora.
- Work on filtering and quality-scoring systems to identify high-value web documents.
- Analyze web data composition across domains, languages and time periods.
- Develop and maintain highly-performant deduplication pipelines.
- Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.
Qualifications:
- Strong software engineering skills, with proficiency in Python and experience building data pipelines.
- Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
- Experience working with large-scale web datasets.
- Knowledge of data quality assessment techniques and experimentation with data mixtures.
- A passion for bridging research and engineering to solve complex data-related challenges in AI model training.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: United States
POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
About Incode
Incode Technologies is a leader in identity verification, offering innovative, AI-driven solutions tailored to diverse industry needs — from financial services to social media and marketplaces. Our platform is designed to maximize user conversion while minimizing fraud, through a multi-layered approach that includes proprietary AI, deepfake detection, and efficient user re-engagement tools. With close to 99% accuracy in facial recognition tied directly to official document issuance systems, and enterprise partnerships with Citibank, HSBC, Amazon, and Chime, Incode stands apart. With over $250M raised from General Atlantic and SoftBank, we're driving the future of digital trust — and we need a builder-minded Total Rewards leader who can design world-class reward programs from the ground up and own every detail of their execution.
The Impact You'll Make
Incode's Total Rewards function is at an inflection point. Over the past year we moved from a stock-option-only program to a new equity framework that blends time-based options with performance RSUs tied to ARR milestones, launched equity plans in new jurisdictions, expanded our market data, and scoped a job-architecture and leveling project ahead of the next compensation cycle. What we have not had is a single leader who owns all of it end to end.
As Vice President, Total Rewards, you will own compensation, equity, benefits and rewards operations for Incoders across the US, LATAM and EMEA. You'll be the executive the CEO, the Board and the leadership team turn to on pay decisions — from a Regional VP's offer in Mexico City to board member grants — and you'll build the governance, systems and team that make those decisions consistent, data-backed and fast.
This is a build-and-run role. You set the strategy — and you roll up your sleeves during the comp cycle.
What You'll Own & Drive
Rewards Strategy & Governance
— Define and steward Incode's compensation philosophy, market positioning and pay mix by region. Build the approval matrix, offer guidelines and exception process so decisions are consistent and quick. Serve as authorized signatory for promotions, salary increases, compensation adjustments and bonus confirmations.
Job Architecture & Leveling
— Lead the job-architecture and leveling project with our external compensation advisors and People Partners, and land it before the next compensation cycle: job families, levels, salary structures and career frameworks, with the metrics that show it worked.
Compensation Cycles
— Run the annual compensation and performance-linked increase cycle end to end with Finance and People Partners: budget by organization, band updates, manager recommendation frameworks, calibration support, letters and communications. Design and administer bonus and MBO plans with Finance.
Equity
— Own the equity program: new-hire, promotion, refresh and performance grants; the options-to-RSU framework and vesting design; board and advisor grants; and coordination with Finance, Legal and outside counsel on board resolutions, 409A valuations, the cap table and international plan compliance. Lead equity education for managers and employees.
Executive & Offer Compensation
— Partner with the CEO, CBOO and Talent Acquisition on executive and GM packages (base and variable mix, equity structure, sign-on and clawback terms), and support the Board's compensation committee on executive pay and benchmarking.
Global Benefits
— Set the benefits strategy by region with an impact-versus-cost lens; manage brokers, renewals and leave policies across countries so that what we offer in Mexico City, Belgrade and San Francisco each feels like Incode.
Sales Compensation Partnership
— Partner with Finance and Revenue Operations on sales and customer-success variable plan design, quota-setting methodology, pay mix and payout governance, bringing market data and plan-design discipline.
M&A Integration
— Lead rewards harmonization for acquisitions, including equity plan assumption, leveling alignment and benefits integration.
Tooling & AI
— Build an AI-enabled Total Rewards function: market benchmarking, pay-equity monitoring, comp-cycle operations and compensation communication, with clear guardrails on data privacy, accuracy and where human judgment stays non-negotiable. Own the TR tool stack and market data sources.
Team
— Lead and grow the Total Rewards team. Raise the bar on rigor, turnaround and documentation so that today's ad-hoc requests become repeatable processes.
The Qualities That Set You Apart
You build and you run
— You're comfortable owning the day-to-day with a lean team while building the structure that lets it scale.
You speak finance
— You build the models yourself, understand burn and dilution, and earn credibility with the CFO and the Board.
You bring executive presence — and pace
— You work with a CEO who moves fast. You make clear recommendations, protect internal equity, and know when to flex.
You operate at every altitude
— Board grants in the morning, a Regional VP's offer in Mexico City in the afternoon. The shift energizes you rather than frustrates you.
You're AI-forward
— You use AI tools in your own work and have a point of view on where they belong in Total Rewards.
Your Background
Experience
— 12+ years in compensation and total rewards, including 4+ years leading the function for a complex, multi-country employer such as a large technology or professional-services firm, with hands-on ownership of compensation cycles, equity programs and benefits. You have run the function with rigor at scale and want to build it at a company of Incode's stage.
Equity expertise
— Deep expertise in options and RSUs, refresh and performance-grant design, 409A and cap-table coordination, board grants and international equity plans. You have led an options-to-RSU transition or a comparable program change.
Global compensation
— Experience across the US and at least one of LATAM or EMEA. Mexico experience and Spanish are strong advantages.
Certification
— CCP, GRP or CEP certification is a plus.
Nice to Have
Prior experience at an identity verification, cybersecurity, KYC/AML, or data company.
Consulting background in total rewards or executive compensation.
Why Incode?
Be part of a mission-driven company at the intersection of AI, identity, and trust.
Work alongside a world-class team backed by General Atlantic and SoftBank.
Shape the future of how people — and companies — verify identity at global scale.
Competitive compensation, equity participation, and benefits.
A culture that rewards ownership, speed, and intellectual curiosity.
Aspects of our Culture:
High performance
Freedom & responsibility
Context, not control
Highly aligned, loosely coupled
Continuous Feedback
Promotions & Development
Learn more about
Life at Incode
!
Benefits & Perks:
Flexible Working Hours & Workplace
Open Vacation Policy
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
Applicant Data Privacy:
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
УдалённоseniorUSA (Remote)
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Czech Republic - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
Cyprus - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
Singapore, Singapore
ГибридseniorEspoo
ОфисNew York, NY; Open to candidates based near our NYC office or those willing to relocate; Lastly, the provided range is the expected salary for candidates in the U.S
США; Nex employees may be expected to collaborate with colleagues across different time zones
New York, United States; San Jose, California, United States
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