Location: 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.
About the Opportunity:
The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.
Our vision is building a world class smart and scalable risk service that will prevent, detect, and respond to fraud which will improve business revenue, reduce user friction, and enhance user trust . As the leader of it, you will own and build OKX fraud risk systems and manage the roadmap to enable our legitimate customers to gain access to a wide array of crypto assets. The scope of this role includes designing and developing risk models, risk products and risk platforms, integrating with fraud & risk vendors, enabling healthy business growth and enhancing customer risk experience. This role will work closely with risk strategy, risk analytics, operations, engineering partners and compliance to achieve the business success goals of the company.
If you are an entrepreneurial product leader, who doesn't hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you.
What You'll Be Doing:
7+ years of product management experience in platform products, preferably risk management platform domain with experience in decision engines, modeling services, risk analytics tooling, case management, etc
Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development
High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions
Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch
Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring
Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment
What We Look For In You:
Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc
Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development
High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions
Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch
Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring
Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment
Nice to Have:
Degrees of Masters, MBA, PHD are welcomed
Risk strategy or compliance related experience
Crypto/Blockchain experience or a passion for Bitcoin, crypto, Defi and blockchain technology
Past experience in AI and machine learning
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
The salary range for this position is
$223,333.00 to $268,333.0
0. 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 Okcoin and OKX internal or external careers site.
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.
#LI-HYBRID#LI-HYBRID
#LI-ED1
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: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We’re looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to improve Figma’s products.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma’s domains
You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation
Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features
Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems
Build evaluation systems to measure and improve quality of AI features in Figma products
We'd love to hear from you if you have:
Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments
Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc
Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO. Experience with RL from execution feedback for Coding, and RL with non-verifiable rewards will be a plus
4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision
Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R)
Experience communicating and working across functions to drive solutions
While not required, It’s an added plus if you also have:
Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision
Experience in mentoring/influencing senior engineers across organizations
Expertise working on large scale and distributed AI training
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: United States (Remote); Seattle, Washington
Workplace: Remote
ROLE SUMMARY
Cloud Data Store (CDS) owns the storage, retrieval, and lifecycle of all workflow data at planet scale. We design the persistence APIs, build storage abstractions that run across cloud vendors, and deliver the observability that lets customers trust their state machines for years. [To see more detail re: the Temporal CDS Eng team, click here https://temporalio.notion.site/Join-Temporal-s-Cloud-Data-Store-CDS-Team-21b8fc56773880028492cfbd915b0b60]
As a Senior Software Engineer, you will get the chance to design, build, and maintain significant portions of our backend functionality for highly scalable, multi-tenant services. You’ll own the custom persistence stack for Temporal Cloud which includes a Write Ahead Log, various metadata stores (Cassandra, etcd), multi-level caches, tiered storage etc.
WHAT YOU'LL DO
- Design & build distributed data systems – craft APIs, schemas, and replication paths that keep petabytes of workflow history durable and query-able. Clearly document design choices and operational knowledge to successfully deploy and run service with those features.
- Drive reliability & performance – own SLOs, create chaos-test plans, profile hot paths, and lead incident reviews.
- Technical leadership – break down roadmap epics, mentor mid-level engineers, steward design docs through RFC.
- Cross-team collaboration – partner with the Server, Cloud, and DX teams to land features end-to-end.
WHAT YOU'LL BRING
- 5 or more years of experience as an "Arranger" and/or "Builder/Enhancer" of highly scalable distributed systems. see HERE https://temporalio.notion.site/Distributed-Systems-Concurrency-2526e6dfce4947d39fd3a40f9f07652a for more info re: "Arranger" and/or "Builder/Enhancer"
- Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency.
- Experience writing concurrent code in production with languages like Go or Java or other applicable languages with skill level as "high end of Intermediate" and/or "Advanced" or "Expert" levels. see HERE https://temporalio.notion.site/Distributed-Systems-Concurrency-2526e6dfce4947d39fd3a40f9f07652a for more info re: "high end of Intermediate" and/or "Advanced" or "Expert levels"
- Experience building and running services on AWS. Bonus: Microsoft Azure and Google GCP experience.
NICE TO HAVE
- Prior contributions to Temporal, Cadence, or other workflow engines.
- Deep expertise in a storage domain (LSM trees, columnar stores, transactional logs, etc.).
- Operated multi-region, ≥99.99 % uptime services.
- Experience working with Open Source Systems.
- Experience in building K8s controllers and/or CRDs is a plus
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Remote
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.
Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.
We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.
We're a team of 170+ across 26 states and 7 countries, headquartered in New York City.
We are hiring for our Treasury team
Software Engineers at various levels (II and Senior)
who are curious and willing to dive deep and understand our technology and domain in order to solve interesting and hard problems. The Treasury team maintains and builds the backend services that manage the flow of funds between Lithic and third parties. This includes our ledger, ACH and wire infrastructure, and associated reconciliation. The systems we maintain have high standards of reliability and correctness. You will become an expert in the card payments space. The Treasury team primarily uses Python for their tech stack.
The Treasury team builds the mission-critical backend services that orchestrate the flow of funds between Lithic and external financial institutions. This includes engineering our core ledger, ACH and wire infrastructure, and high-precision reconciliation systems. As we handle the movement of money, we build our systems to the highest standards of reliability and correctness.
Our team operates with a high degree of autonomy; we have direct control over what we build and the technical direction we take.
Prior fintech experience is not required.
You will gain deep expertise in the global payments ecosystem while working with a modern, cloud-native stack primarily utilizing
AWS (DynamoDB, Kinesis, Lambda, Step Functions, etc.) and Python.
What you'll do:
Own initiatives from planning to launch
, keeping stakeholders informed and aligned while maintaining a high bar for quality.
Own your learning of business domains and technical stacks
to build a comprehensive mental model of the Treasury ecosystem and how money moves—while the team helps you get there.
Improve system resilience and ensure high reliability and correctness
for Lithic’s ledger and orchestrated funds flows.
[Senior] Lead the architectural direction and solve our most complex technical challenges
, ensuring our systems scale gracefully as we grow.
What you'll bring:
Business and technical curiosity
: You have a natural drive to peel back layers of a system until you understand the root cause of a problem and how it impacts the broader financial ecosystem.
A structured approach to learning
: You demonstrate a growth mindset centered on building complete mental models of complex systems.
Autonomy and urgency
: You have high agency and thrive in an environment where you are given a problem space rather than a list of tasks, moving with purpose to deliver high-quality solutions.
[Senior] Experience building distributed systems
: You have the technical judgment required to design and scale high-stakes infrastructure where reliability and correctness are foundational.
The annual US salary range for this role is $160,000 - $200,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications.
This is a remote position. However, candidates must be located in the United States, Canada (Ontario or British Columbia), Netherlands, Poland, or Czech Republic. We do not offer visa sponsorship or assistance.
Crack the code
A hidden code is tucked into this application. Find it and enter it below to continue.
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
Benefits for Full-Time US Employees:
Unlimited PTO
12-weeks fully paid parental leave
4-Week Fully Paid Sabbatical (earned at your 5-year anniversary)
Work From Anywhere: work from anywhere in the world 4-weeks each year
3% cashback on card purchases with your complimentary
Privacy.com
employee account
Health, vision, and dental insurance; HSA Contribution Match
401(k) match
Voluntary Life Insurance and STD/LTD
NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs.
In-office employees receive:
Commuter benefit
Catered lunch every Tuesday and Thursday
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
This role blends elements of product management, innovation strategy, solutions design, and forward-deployed partnership. You’ll work directly with leading law firms and corporate legal teams to translate messy, high-value legal work into AI-powered workflows — and ensure they succeed in production.
We don’t build software for lawyers; we build it with them. Our teams sit shoulder-to-shoulder with partners, associates, innovation groups, and CIOs to understand problems at depth, design first-of-kind workflows, and ship products that reshape how legal work gets done.
WHAT YOU’LL DO
- Serve as a thought partner to top global law firms and enterprises — diagnosing pain points, mapping high-value opportunities, and guiding how Harvey integrates into their practice.
- Work with the go-to-market team to shape pilots and deployments end-to-end: discovery, workflow design, testing, onboarding, iteration, and firm-wide rollout.
- Work with innovation leaders, legal operations, and practice groups alongside Customer Success — ensuring the platform becomes embedded in day-to-day legal work
- Translate user insights into product direction to influence roadmap
- Help clients evaluate the business impact of AI — from improving associate leverage to transforming workflows across practices like M&A, litigation, regulatory, and transactions.
- Shape how the legal industry adapts to AI. You’ll be in the room where the new operating model of law is being defined.
WHAT YOU HAVE
You come from the legal world, but you’ve always gravitated toward innovation, experimentation, and systems thinking. You’ve seen how complex legal work happens in practice — and you’re excited to redesign it with cutting-edge AI.
You’ll thrive here if you:
- Have experience at a top law firm or in-house legal team; innovation, legal ops, or consulting experience is a plus.
- Familiarity with the legal tech ecosystem as an employee, founder, or advisor to legal tech startups
- Are product-savvy and tech-curious. You’re not expected to code, but you can navigate conversations about generative AI, workflow design, privacy, governance, and enterprise rollout.
- Communicate with clarity and confidence across roles — partners, associates, engineers, PMs, CIOs, and legal ops.
- Can independently run multiple client engagements in parallel.
- Care deeply about quality and user outcomes while keeping a strong bias for action.
- Are energized by building something new in a domain going through its biggest shift in decades.
COMPENSATION
$178,500 - $241,500 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-CL1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
Responsibilities:
Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls
Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity
Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries
Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so
Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management
Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one
Mentor engineers and contribute to hiring and growth of the Security team
You may be a good fit if you:
Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale
Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++)
Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code
Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation
Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening
Experience with threat modeling and risk assessment for networked and multi cloud systems
Track record of driving engineering excellence through high standards, constructive code reviews and mentorship
Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems
Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams
Experience supporting fast-paced startup engineering teams
Strong candidates may also have experience with:
Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed
Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security
Built network traffic visibility or exfiltration detection systems
Exposure to large-scale distributed training and what it demands of a network
Led cross-functional security initiatives and navigated complex organizational dynamics
Managing infrastructure through automated configuration and policy enforcement
Hardening containerized applications and enforcing security policies
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:
£255,000
—
£325,000 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: Bremen, Germany
About the position
You are expected to contribute to the development of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and representing deep semantic and pedagogical structures in scientific and educational materials; high-fidelity extraction of conceptual and reasoning blocks; inference-time rationale generation; and adaptive, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop optimization.
In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences. You will contribute to developing datasets, baseline models, personalized learning engines, reasoning-graph representations, cross-domain mapping algorithms, and RLHF-style feedback loops that improve system interpretability and instructional quality. The successful candidate will also contribute to high-quality publications, release research prototypes, and support demonstrator systems that deliver structured semantic extraction, rationale-aware content generation, and cross-domain transfer of reasoning structures.
Additionally, the successful candidate is expected to support teaching activities in areas such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in course delivery, advising students, supervising Bachelor/Master theses, and engaging in methodological innovation for online, hybrid, and in-person learning environments. The university provides strong support for early-career researchers, including mentorship, administrative assistance, access to computational resources, conference funding, and opportunities to collaborate with other research groups and industrial partners working at the intersection of AI and digital education.
Mandatory requirements
Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
Strong research interest and practical experience in one or more of the following areas:
semantic parsing and structured representation learning
knowledge graphs or graph-based reasoning
transformer models, sequence modeling, or GNNs
natural language generation and explainability
educational AI, personalization algorithms, or cognitive modeling
Evidence of research potential through publications, a strong thesis, or significant projects.
Experience or interest in innovative teaching and learning approaches.
Ability to translate theoretical insights into engineered prototypes and systems supporting scientific or educational use cases.
Responsible, self-motivated, and capable of working independently as well as collaboratively.
Excellent verbal and written communication skills.
Intercultural competence and experience in international environments.
Fluency with co-pilot tools for coding and writing.
Fluency in English, the language of instruction and communication on campus.
Funding & Appointment Terms
The appointment provides full financial coverage through a dedicated fellowship, comprising:
Monthly stipend of €1,650
Monthly research-cost allowance of €100 (Forschungskostenpauschale)
Health-insurance subsidy of €100 per month
Supplementary €550 mini-job allowance to support parallel part-time employment (optional)
Application Details
Expected start date: September
, 2026
Application package must include:
Curriculum Vitae (CV);
Academic transcripts ;
A detailed letter of motivation outlining research interests and career goals;
2 recommendation letters;
Applications to be reviewed on a rolling basis. Shortlisted candidates
will be invited to interviews.
Location: Bremen, Germany
About the position
You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) .
As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners.
The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile.
Mandatory requirements
PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field.
Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK, AAAI).
Demonstrated expertise in at least two of the following areas:
semantic parsing or structured NLP
knowledge representation, reasoning graphs, or GNNs
natural language generation, explainability, or rationale modeling
ontology alignment, cross-domain transfer, or representation learning
personalization algorithms, metacognition, or educational AI
human-in-the-loop systems or RLHF
Experience in leading research tasks, mentoring junior researchers, and coordinating multi-stage projects.
Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow).
Strong analytical, communication, and academic writing skills.
Demonstrable ability to design rigorous experimental pipelines and validation methodologies.
Responsible, independent, and proactive research personality with strong teamwork skills.
Intercultural experience and readiness to work in an international research environment.
Fluency with AI co-pilot assistants for coding and writing.
Fluency in English, the primary language of research and instruction on campus.
Preferred qualifications:
Experience in developing research prototypes, evaluation benchmarks, or large-scale datasets.
Prior involvement in interdisciplinary or applied research projects.
Potential to contribute to competitive funding applications.
Experience with open-source releases or reproducible research pipelines.
Application Details
Starting date: September
, 2026
Contract: Full-time (100%), TV-L E13
Work mode: Hybrid
Application package must include:
Curriculum Vitae (CV);
A detailed letter of motivation outlining research interests and career goals;
2 recommendation letters;
Applications to be reviewed on a rolling basis. Shortlisted candidates
will be invited to interviews.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.
Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP.
We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory.
Responsibilities
Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning
Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences
Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts
Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation
Generate documentation and insights to guide successful prototypes toward full product teams
Advocate for user experience and product considerations early in the research process
Provide feedback to research teams about model effectiveness and where capabilities can be improved
Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities—context from one project should inform the next
You may be a good fit if you
Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments
Thrive in ambiguity and are energized (not anxious) by uncertainty—you're comfortable working on projects that might not exist in three months
Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff
Are deeply user-centric—you validate ideas with actual users before over-investing and talk about problems before solutions
Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments
Hold strong opinions loosely—you advocate forcefully for ideas but change your mind based on evidence
Are a generalist who can transition between different problem spaces as priorities shift
Work independently with good judgment about what matters, without needing constant direction
Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies
Communicate effectively and translate complex AI capabilities into intuitive experiences
Care about the societal impacts and ethics of your work
Strong candidates may also have
Experience building products that involve AI/ML components or working with large language models
Experience collaborating directly with research teams in AI/ML environments
Background conducting user research, interviews, and usability testing
Experience across both B2B and B2C product development, or in multiple industries
Design sensibility or hands-on experience with UI/UX for AI-powered applications
Experience with real-time applications, WebSocket implementations, or complex frontend interactions
What we're not looking for at this stage
Deep specialists who can't adapt if their domain becomes irrelevant
Engineers who've only succeeded in big-company structures with well-defined processes and long timelines
People who are precious about their work or frame all past projects as successes
Those who need clear roadmaps and get stressed by shifting priorities
Candidates need not have
100% of the skills listed above
Formal certifications or education credentials
Direct machine learning or AI research experience
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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA; 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 a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.
This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.
You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.
Responsibilities
Own the technical delivery plan for each engagement.
Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
Lead technical discovery.
Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
Run day-to-day engineering execution.
Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
Own product scoping for field engagements.
Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
Own the customer relationship throughout delivery.
Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
Own value measurement and ROI.
Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
Codify reusable delivery assets.
Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
Navigate enterprise and regulatory complexity.
Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
Manage scope and change.
Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
Run delivery operations.
Sprint ceremonies, milestone reviews, and progress reporting.
Travel to customer sites.
Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).
You May Be a Good Fit If You
Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
Thrive in ambiguity and bring structure where none exists.
Have a builder's mindset — you're here to create a function, not join one.
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:
$275,000
—
$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: Ireland - 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:
We are seeking a talented
Senior Professional Services Consultant
to join our Professional Services team. In this role, you will have the opportunity to work with some of the best consulting minds, who bring varied industry experience and work management prowess. As a Professional Services Consultant, you will play a leading role in shaping our customer’s initial experience and paving the way for their long-term success.
Your Impact:
Leading individual customer engagements, and participating in or leading larger global customer rollouts.
Driving end-to-end customer onboarding, including the Discovery, Design, Configuration, Rollout, and Adoption Monitoring for these engagements.
Supporting the sales team with more complex scoping requirements and presenting the value of Wrike and Wrike’s professional services offerings.
Tracking and maintaining accurate client records and key milestones using Wrike, Salesforce, and other systems.
Managing successful completion of customer engagements while achieving critical success metrics.
Advocating for the customer and assisting in the prioritization of new product features
Collaborating with Wrike’s Product team and other internal stakeholders to identify short-term solutions to issues/requests and influence Wrike's product roadmap.
Ensuring smooth hand-offs before and after professional services engagements by working closely with internal cross-functional teams
Represent the DACH region with cultural and language fluency (German native speaker required).
Mentoring junior members of the Wrike team.
Possess qualities that make a good Wriker:
Critical thinker, generally curious — a true problem solver
Passionate about learning and improving every day, and motivated to excel
Open to feedback; coachable
Strong team player; tendency to put others first
Self-starter with strong ownership skills, willing to go above and beyond the job description
Creative and innovative
Your Qualifications:
3+ years in consulting and customer facing roles.
Experience in project management and former certifications as (Agile, PMI, Lean, etc.) is a plus.
Ability to quickly understand customer’s complex processes and needs, and assist them in defining clear goals, to ensure a successful implementation of Wrike
Extensive understanding of and ability to apply change management principles
Thorough expertise in one industry or in critical customer segments such as Marketing/Creative, IT, Professional Services, PMO
Ability to dive into technical discussions as needed and present on complex digital transformation options and strategies.
Ability to collaborate cross functionally with Sales to evolve account plans that include ongoing professional services support.
Excellent verbal, presentation and written communication skills
Effective communication across all levels of an organization, particularly executive stakeholders
Ability to manage difficult audiences and complex client relationships with finesse and poise.
Ability to provide thought leadership and knowledge of industry best practices to guide customers in complex organizations.
Firm sense of accountability and ownership of work
Deep understanding of the DACH market and fluency in German.
Superior personal organization and time management skills
Customer-centric, energetic person with extensive consulting skill set
Strong interpersonal skills: positive, engaging, friendly, empathetic, tactful and level-headed under pressure and in difficult situations.
Standout Qualities:
Relevant university degree
Experience working in a SaaS environment
Ability to position Wrike into an existing integrated ecosystem
Team Dynamics:
As part of our Professional services team, you will play a key role in sustaining our core values which make working at Wrike fun, challenging, and a place for career-defining work: Fail Gloriously | No Egos | One Wrike | Embrace Change Fearlessly | Best Ideas Win.
Benefits & Perks:
25 days of paid vacation
Pension scheme
Life Insurance plan
Health Insurance
Income Protection
Parental leave (26 weeks paid for birth mothers, 4 weeks for non-birth parents)
Bike to Work scheme
What’s Next?
Interview with a Recruiter
Technical interview
Cultural interview
Your recruitment buddy will be
Arjola Stejskal
, Talent Acquisition Specialist
#LI-AS1
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: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions
- Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements
- Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention
- Collaborate across teams to drive reliability, security, and compliance throughout the software lifecycle
- Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality.
WHAT YOU HAVE
- 5+ years of experience in Site Reliability Engineering or similar roles supporting production environments
- Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.).
- Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.)
- Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.)
- Strong programming skills (Python, Bash, Go, or similar languages)
- Proven track record of diagnosing complex system problems and implementing durable solutions
- Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles
- Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence
COMPENSATION RANGE
$200,000 - $260,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions
- Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements
- Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention
- Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle
- Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality
- Provide technical mentorship and leadership, promoting best practices and fostering team growth
WHAT YOU HAVE
- 10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams
- Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.)
- Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.)
- Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.)
- Strong programming skills (Python, Bash, Go, or similar languages)
- Proven track record of diagnosing complex system problems and implementing durable solutions
- Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles
- Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence
COMPENSATION RANGE
$238,000 - $290,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Quebec
Workplace: onsite
(Version française ci-dessous)
Lead Engine Programmer
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an Engine Lead Programmer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
● Lead, mentor and coach our Engine team
● Assist with recruiting of Engine Programmers
● Manage code reviews and code features documentation
● Work in tandem with Larian Studios other programming Leads
● Assist in maintaining, porting and extending our proprietary engine on multiple platforms
● Debug and optimize code to hit quality and performance targets
● Show a strong passion for low level coding and a big interest in performance analysis
● Complete all tasks in a timely manner and to a consistent high quality standard
● Develop well designed software within project schedule to team standards
● Show strong passion for making the highest quality state of the art games
● Safeguard company assets including source code, art work, tools, technical know-how
Requirements
● Demonstrable Lead or Management experience
● Extensive experience programming for games
● Excellent C++ skills
● Strong mentor and coaching ability
● Excellent written and spoken English skills*
● Passion for making and playing great games
● Experience with graphics APIs like Directx 12 and Vulkan
● Experience with a wide range of CPU and GPU profiling tools
● Multi threading should be second nature
● This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity.
What We Offer
● An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
● An open, collaborative environment where ideas are welcome and encouraged
● A managerial team consisting of highly experienced game developers at the top of their fields
● Sharing hobbies and passions with like-minded colleagues
● Inclusive environment with many activities organized by the studios or the employees
● Commitment to making the best game possible for the fans, including listening to community feedback
* Due to the global nature of our operations and the need to engage daily with an international team, fluency in English is essential for this position at Larian.
------------------------------------------
Responsable programmation moteur
Maintes fois primé, Larian Studios a amplement démontré sa volonté de proposer des jeux de rôle de très haute qualité. À l'heure où le studio à l'origine de titres comme Baldur's Gate 3 et Divinity: Original Sin 2 se tourne vers de nouveaux projets, nous sommes en quête d'un responsable dans le domaine de la programmation moteur, qui rejoindra l'équipe et nous aidera à créer les jeux d'excellence auxquels nos fans sont habitués.
Responsabilités
● Diriger et encadrer notre équipe moteur
● Aider à l'embauche de programmeurs moteur
● Gérer les revues du code et la documentation des fonctionnalités du code
● Travailler de concert avec les autres responsables de la programmation de Larian Studios
● Aider à la maintenance, au portage et au développement de notre moteur propriétaire sur de multiples plateformes
● Déboguer et optimiser le code pour atteindre nos objectifs en termes de qualité et de performance
● Démontrer une passion évidente pour la programmation de bas niveau et un intérêt manifeste pour l'analyse des performances
● Mener les tâches à bien dans les délais et selon des normes élevées et systématiques de qualité
● Développer des logiciels de qualité en respectant les échéances des projets et en satisfaisant les normes de l'équipe
● Démontrer une volonté manifeste de créer des jeux du plus haut niveau de qualité possible
● Assurer la protection des ressources de l'entreprise telles que le code source, les illustrations, les outils et le savoir-faire technique
Profil recherché
● Une expérience démontrable dans le domaine de l'encadrement
● Une expérience très poussée dans la programmation de jeux
● D'excellentes compétences en C++
● Des compétences avancées d'accompagnement et d'encadrement
● La capacité à s'exprimer de manière parfaite en anglais, à l'oral comme à l'écrit*
● La passion de faire, et de jouer à, des jeux exceptionnels
● Une expérience avec des API graphiques comme DirectX 12 et Vulkan
● Une expérience avec un large éventail d'outils de profilage de processeur et de processeur graphique
● Le multithread devrait être un réflexe
● Ceci est une position à temps plein dans nos locaux. Votre présence au bureau est requise pour favoriser un esprit de collaboration et de créativité.
Ce que nous proposons
● Une équipe internationale de plus de 600 employés répartis dans 7 studios à travers le monde, chacun avec ses propres qualités uniques, le tout en conservant une ambiance conviviale de petite entreprise
● Un environnement de travail ouvert et collaboratif, où les idées nouvelles sont encouragées et bienvenues
● Une équipe de gestion composée de développeurs expérimentés et au sommet de leur art
● Des collègues ayant les mêmes valeurs, avec lesquels partager vos passions et vos passe-temps
● Un environnement inclusif avec de nombreuses activités organisées par les studios ou les employés
● Un engagement à réaliser le meilleur jeu possible pour les fans, en prenant en compte les commentaires de la communauté
* En raison de la portée mondiale de nos opérations et de la nécessité d'interagir quotidiennement avec une équipe internationale, des connaissances professionnelles en anglais sont indispensables pour ce poste chez Larian.
Location: United Kindom, United Kingdom; Amsterdam, Netherlands; Buenos Aires, Argentina; Athens, Greece; Bangalore, India; Chittagong, Bangladesh; Dhaka, Bangladesh; Barcelona, Spain; Belize; Bogotá, Colombia; La Paz, Bolivia, Plurinational State of; Brasilia, Brazil; Brussels, Belgium; Cairo, Egypt; Chiasso, Switzerland; Santiago de Chile, Chile; Como, Italy; San Jose, Costa Rica; Zagreb, Croatia; Prague, Czechia; Delhi, India; Copenhagen, Denmark; Santo Domingo, Dominican Republic; Dubai, United Arab Emirates; Dublin, Ireland; Quito, Ecuador; Addis Ababa, Ethiopia; Helsinki, Finland; Accra, Ghana; Guatemala; Jakarta, Indonesia; Tel Aviv, Israel; Madrid, Spain; Lugano, Switzerland; Johor Bahru, Malaysia; Kuala Lumpur, Malaysia; Sliema, Malta; Manila, Philippines; Medellin, Colombia; Mexico City, Mexico; Milano, Italy; Montevideo, Uruguay; Nairobi, Kenya; Kathmandu, Nepal; Auckland, New Zealand; Wellington, New Zealand; Managua, Nicaragua; Lagos, Nigeria; Oslo, Norway; Islamabad, Pakistan; Panamá, Panama; Lima, Peru; Warsaw, Poland; Lisbon, Portugal; Rabat, Morocco; Rio de Janeiro, Brazil; Bucharest, Romania; Rome, Italy; San Salvador, El Salvador; Sao Paulo, Brazil; Riyadh, Saudi Arabia; Edinburgh, United Kingdom; Belgrade, Serbia; Sofia, Bulgaria; Colombo, Sri Lanka; Stockholm, Sweden; Berne, Switzerland; Geneve, Switzerland; Taipei, Taiwan; Tallinn, Estonia; Tbilisi, Georgia; Bangkok, Thailand; Abu Dhabi, United Arab Emirates; Hanoi, Vietnam; Yerevan, Armenia
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We are looking for talented individuals to join us for an internship in 2025/2026. MSc/PhD Internships at Tether aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
In our team, you will have the opportunity to participate in the development of the state-of-the-art (SOTA) foundation models, and will also be responsible for optimizing our distributed model training framework continuously.
PhD internships at Tether provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis. We encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities
Research and develop state-of-the-art LLM and/or video or multimodality models to accelerate open-source progress in the domains.
Implement the application of large models in our business scenarios, like pre-training, supervised fine-tuning, post-training, inference etc.
Continuously optimize the training framework to better adapt to the training of large models on thousands of multi-node GPUs.
In this role, you’ll have the opportunity to advance the development of open-source LLM, vision and/or multimodal foundation models and products. You will have the opportunity to collaborate with broader teams across Tether.
MSc/PhD candidate in computer science or a related technical discipline
Related Research Experience at least one of the following areas: LLM, computer vision, multimodality
Be proficient with PyTorch deep learning framework and libraries
Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
Publications in the top AI conferences (e.g., ACL, NIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a nice to have.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
You'll drive cross-functional execution of Anthropic's data center programs from construction through commissioning and day-to-day operations. Partnering with our Data Center and Compute teams, you'll own the program management that delivers buildings on time ready for production workloads. As we scale beyond our first sites, you'll focus on accelerating construction and deployment, building repeatable playbooks, and driving continuous improvement across our growing footprint.
Responsibilities:
Manage and develop the DC infrastructure TPM team; hire and build out the function as we scale
Lead program reviews and executive communications on delivery status, risks, and blockers
Drive construction-to-production execution across multiple sites, coordinating with partners, contractors, and internal teams
Own overall schedule tracking, risk identification, and mitigation; creating clear visibility for leadership
Align with energy and location strategy and support site selection and due diligence criteria to facilitate scaling well in advance of aggressive compute demand
Manage long pole dependencies and long-lead time development & procurement across a dynamically changing global marketplace
Partner with DC and Compute teams to drive handover criteria between site completion, equipment deployment, and operations
Coordinate with Infrastructure, Security, and Compliance teams on evolving requirements; versioning, optimization, and expansion across sites
Drive partner accountability on contractual milestones and commercial commitments
Coordinate equipment delivery and manage vendor accountability on schedules; tracking production and shipping milestones while maintaining productive partnerships
Build repeatable processes and playbooks that scale across multiple concurrent site deployments
Travel (20%) to sites to validate progress and build contractor relationships
You may be a good fit if you:
Have 7+ years in data center construction, operations, or infrastructure program management at hyperscale or critical infrastructure companies
Have management experience building and leading TPM or program management teams
Have led multi-site infrastructure programs with compressed timelines and complex cross-functional dependencies among multiple partners and vendors
Excel at aligning multiple partners, vendors, and internal engineering teams around shared deliverables
Can bridge physical infrastructure and software/security teams
Thrive in ambiguity and make decisions with incomplete information under schedule pressure
Communicate complex program status clearly to executives
Deadline to apply:
None applications will be received 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:
$365,000
—
$435,000 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: Melbourne
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 own your outcomes, from the strategies you run to the conversations that shape what we build next. As a high-performing sales professional capable of driving double-digit growth, you will join a dynamic APAC sales team reporting to the Sales Leadership team. This role combines the thrill of landing
Net New Mid-Market and Enterprise accounts
with the strategy of
expanding high-potential existing customers
(>200 employees).
You will work closely with the broader Account Team to hit and exceed defined booking targets. Whether you are generating fresh opportunities from scratch or identifying new use cases within current accounts, you are responsible for the full sales cycle—combining proactive outbound prospecting, solution selling, and deep customer alignment.
Your Impact:
Driving Dual-Growth:
Owning both Net New customer acquisition and Expansion within a designated Mid-Market / Enterprise territory (>200 employees).
Managing the Full Sales Cycle:
Lead-to-close ownership, including strategic prospecting, discovery, multi-stakeholder demonstrations, commercial negotiations, and contract execution.
Proactive Outbound Prospecting:
Executing targeted outbound account-based strategies to land key new logos and uncover new business units within existing accounts.
Solution-First Selling:
Uncovering complex operational challenges across teams and mapping Wrike's platform to deliver measurable enterprise ROI.
Pipeline Management & Tech Stack Mastery:
Leveraging
Salesforce, LinkedIn Sales Navigator, ZoomInfo, and Demandbase
for territory planning, target account engagement, and accurate forecasting.
Cross-Functional Collaboration:
Partnering with Customer Success, Pre-Sales Solutions Engineers, and Marketing to ensure seamless onboarding and account retention.
Your Qualifications:
5+ years
of successful B2B Tech/SaaS sales experience in the Mid-Market or Enterprise segment, with a track record of double-digit growth and quota attainment.
Blended Sales Expertise:
Proven ability to drive both
Net New logo acquisition (hunting)
and
existing account expansion (farming)
.
Outbound Mastery:
Strong experience conducting strategic, account-based outbound prospecting into VP- and C-level decision-makers.
Complex Deal Lifecycle Experience:
Capability to navigate multi-stakeholder enterprise buying cycles, procurement, and legal processes.
Value-Based Selling Approach:
Demonstrated success using consultative frameworks (e.g., MEDDPICC, Challenger) to articulate ROI and solve complex business problems.
Standout Qualities:
Experience prioritizing strategic target accounts using intent data (Demandbase) to convert high-value mid-market and enterprise inquiries into complex deals.
Prior experience in Collaborative Work Management (CWM), project management software, or enterprise productivity solutions.
Benefits & Perks:
Health Insurance (Employees + Dependents)
Employee Assistance Program (EAP)
Parental Leave: 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Health Insurance (Employees + Dependents)
Life & Income Protection Insurance
Superannuation Plan
Your recruitment buddy will be
Tripti Sachan
, Senior Recruiter.
#LI-TS1
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: France
Transformez votre passion pour l'industrie du luxe en une opportunité de carrière. Explorez le monde des marques haut de gamme et ayez un impact durable sur les secteurs de la mode, de la beauté, de la joaillerie ou encore de l'automobile.
À propos du poste :
En tant qu'évaluateur/évaluatrice de marques de luxe, vous entrerez dans l'univers du luxe pour évaluer discrètement l'expérience client en donnant un avis essentiel qui aidera les marques à affiner leurs services. Qu'il s'agisse de visiter des boutiques, d'acheter en ligne ou de retourner un produit, votre voix façonne l'avenir de l'industrie du luxe.
- Flexibilité : chaque visite en boutique dure environ 20 minutes, ce qui vous donne la flexibilité d'effectuer plusieurs missions.
- Opportunités fréquentes : effectuez plusieurs missions par mois et collaborez avec certaines des marques les plus prestigieuses au monde.
Ce que vous ferez :
1. Choisissez vos missions : adaptez vos missions à vos préférences personnelles et à votre profil.
2. Visitez des boutiques de luxe ou évaluez en ligne : dialoguez avec les Conseillers dans les boutiques ou en ligne depuis le confort de votre domicile.
3. Observez attentivement : examinez l'ambiance, la qualité du service et l'expérience globale du client.
4. Donnez un avis honnête : utilisez notre plateforme pour partager vos observations à l'aide de questionnaires.
Avantages du poste :
•Une collaboration avec des marques emblématiques dans tous les secteurs d'activité.
•Des missions flexibles adaptées à vos intérêts.
•Une rémunération pour votre temps et votre contribution, avec la possibilité d'un remboursement sur les achats.
•Une plateforme conviviale pour gérer les missions et les avis.
Comment rejoindre la communauté CXG :
1. Inscrivez-vous : inscrivez-vous sur live.cxg.com et confirmez votre adresse e-mail.
2. Complétez votre profil : remplissez vos informations à 100 % et attendez que votre profil soit vérifié.
3. Obtenez la certification : validez la Certification Générale pour accéder aux missions.
4. Postulez pour des missions : explorez des missions avec des marques qui vous intéressent.
5. Commencez à évaluer : commencez à faire la différence sur le marché du luxe.
Rémunération :
- Évaluations sans achat : Gagnez une rémunération basée sur la complexité de la mission.
- Évaluations avec achat : Remboursement des articles approuvés conformément aux instructions de la mission.
À propos de CXG
Chez CXG, nous mettons en relation des marques haut de gamme avec plus de 80 000 évaluateurs et évaluatrices dans 70 pays. Avec 12 bureaux dans le monde et près de deux décennies d'expertise dans le domaine de l'expérience client dans la vente au détail, nous nous engageons à redéfinir l'expérience client pour les géants du luxe.
Rejoignez-nous et profitez de la flexibilité du travail en déplacement grâce à notre plateforme mobile, CXG Live. Sur cette plateforme, vous pouvez gérer en toute transparence les missions, les certifications et les avis.
Requirements
Vous avez 18 ans ou plus.
Vous êtes déjà client(e) de marques haut de gamme ou de luxe.
Vous n'êtes pas engagé(e) contractuellement avec des marques de vente au détail, afin de préserver l'intégrité.
Vous êtes ponctuel(le), organisé(e), soucieux/soucieuse du détail et fiable.
Vous êtes attentif/ve à et passionné(e) par l'expérience client.
Aucune expérience antérieure n'est requise, nous accordons de l'importance aux commentaires honnêtes de la part de clients authentiques.
San Francisco, CA • New York, NY • United States
УдалённоseniorUnited States (Remote); Seattle, Washington
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоКанада, Чехия, Нидерланды, Польша, США; However, candidates must be located in the United States, Canada (Ontario or British Columbia), Netherlands, Poland, or Czech Republic
ГибридNew York
London, UK
Bremen, Germany
Bremen, Germany
San Francisco, CA | New York City, NY | Seattle, WA
leadBoston, MA; New York City, NY; San Francisco, CA; Seattle, WA
seniorIreland - 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
seniorSan Francisco; We use an in-person work model and offer relocation assistance to new employees
San Francisco; We use an in-person work model and offer relocation assistance to new employees
ОфисleadQuebec
УдалённоСтажёрUnited Kindom, United Kingdom; Amsterdam, Netherlands; Buenos Aires, Argentina; Athens, Greece; Bangalore, India; Chittagong, Bangladesh; Dhaka, Bangladesh; Barcelona, Spain; Belize; Bogotá, Colombia; La Paz, Bolivia, Plurinational State of; Brasilia, Brazil; Brussels, Belgium; Cairo, Egypt; Chiasso, Switzerland; Santiago de Chile, Chile; Como, Italy; San Jose, Costa Rica; Zagreb, Croatia; Prague, Czechia; Delhi, India; Copenhagen, Denmark; Santo Domingo, Dominican Republic; Dubai, United Arab Emirates; Dublin, Ireland; Quito, Ecuador; Addis Ababa, Ethiopia; Helsinki, Finland; Accra, Ghana; Guatemala; Jakarta, Indonesia; Tel Aviv, Israel; Madrid, Spain; Lugano, Switzerland; Johor Bahru, Malaysia; Kuala Lumpur, Malaysia; Sliema, Malta; Manila, Philippines; Medellin, Colombia; Mexico City, Mexico; Milano, Italy; Montevideo, Uruguay; Nairobi, Kenya; Kathmandu, Nepal; Auckland, New Zealand; Wellington, New Zealand; Managua, Nicaragua; Lagos, Nigeria; Oslo, Norway; Islamabad, Pakistan; Panamá, Panama; Lima, Peru; Warsaw, Poland; Lisbon, Portugal; Rabat, Morocco; Rio de Janeiro, Brazil; Bucharest, Romania; Rome, Italy; San Salvador, El Salvador; Sao Paulo, Brazil; Riyadh, Saudi Arabia; Edinburgh, United Kingdom; Belgrade, Serbia; Sofia, Bulgaria; Colombo, Sri Lanka; Stockholm, Sweden; Berne, Switzerland; Geneve, Switzerland; Taipei, Taiwan; Tallinn, Estonia; Tbilisi, Georgia; Bangkok, Thailand; Abu Dhabi, United Arab Emirates; Hanoi, Vietnam; Yerevan, Armenia
San Francisco, CA | New York City, NY | Seattle, WA
Melbourne; 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