Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships.
Responsibilities
Financial Analysis
: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making
Deal Structure Optimization
: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests
Deal Review and Approval Management
: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications
Cross-Functional Coordination
: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals
Risk Assessment
: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders
Policy Implementation
: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives
Process Development
: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls
Documentation and Reporting
: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance
You may be a good fit if you
Have 7+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment
Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals
Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments
Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows
Have experience with CRM systems, CPQ tools, and contract management platforms
Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail
Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership
Strong candidates may also have
Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles
Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking
Experience with deal desk operations at companies with subscription and consumption-based business models
Knowledge of enterprise software contract terms and industry-standard commercial practices
Understanding of AI business models and the unique commercial considerations
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:
$240,000
—
$325,000 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: Espoo
Workplace: Hybrid
- Senior Software Engineer (Telemetry)
- Fleet Automation, Engineering
- Espoo, Finland
- Permanent
- Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
The Mission of the Senior Software Engineer (Telemetry)
Satellite telemetry does not forgive gaps. Build the systems that make sure there are none.
ICEYE's SAR constellation generates a continuous stream of data that fleet operations depend on to function. As a Senior Software Engineer on the Fleet Automation team, you will be a key contributor to the infrastructure that makes that data usable: the pipelines, parsers, and time-series stores that translate raw satellite signals into operational state in near real-time. The scope is expanding, the ownership is real, and the engineering problems are ones you will not find anywhere else.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
Expected Outcomes and Requirements
Outcomes:
- Telemetry pipelines ingest, transform, and store satellite data from across the fleet reliably and in near real-time, with minimal manual intervention
- Telemetry data stores are performant and well-maintained, including schema design, query optimisation, capacity planning, and zero-downtime production migrations
- Anomaly detection and automated recovery systems reduce operational load on the mission operations team
- TTC gateway telemetry integration is delivered as a production-grade component ready for customer deployment
- Engineering quality across the team is actively raised through code reviews, testing standards, and support of less experienced engineers
Role-specific Competences
- Strong Python proficiency in production backend systems; experience with Go or Rust is a plus
- Proven experience building and operating telemetry systems, data pipelines, and distributed systems in production
- Strong working knowledge of PostgreSQL and at least one time-series database such as InfluxDB or Prometheus
- Hands-on experience with Kubernetes-native environments, Docker, and infrastructure-as-code tools such as Terraform and Helm
- Actively uses AI and LLM tooling as part of their engineering workflow
- AWS or equivalent cloud platform experience is a plus
Key Competences
In addition to the requirements above, we evaluate candidates on these key qualities throughout the hiring process:
Intellectual Firepower: Rapidly comprehends, structures and synthesizes complex information, draws accurate conclusions, and communicates them with clarity.
Passion and Work Ethic: Brings sustained motivation, resilience, and high personal standards to every challenge.
Ownership and Action: Assumes full accountability for outcomes, acting decisively, and ensuring commitments are delivered.
Team Player: Works collaboratively across teams, contributing to shared success, and engaging in constructive debate.
Integrity and Growth Mindset: Operates with transparency and humility, learns from setbacks, and actively seeks opportunities to grow.
Application Process
- TA Partner Screen
- Hiring Manager Interview
- Technical Interview
- Values and Fit Interview
- Final Interview with SVP of Engineering
What We Offer at ICEYE
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
Benefits
- A job that matters in a dynamic Defense Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Occupational healthcare, occupational, and accident insurance
- A yearly benefit budget to spend as you wish (sport, transport, bike benefit, wellness, lunch, etc.)
- Phone subscription with iPhone of choice
- Relocation support (flight tickets, accommodation, relocation agency support)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborative offices and silent workspaces to enable focus
Base salary range for this position is 6 000 to 8 500 EUR per month (gross), contingent on your experience level, and will be negotiated individually.
Our Commitment to Diversity, Equity, and Inclusion
At ICEYE, we believe that diversity is not just a buzzword, it is our greatest asset.
We are committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we are stronger.
We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Tel Aviv-Yafo, Israel
About the Collaboration
OIKONOMAKIS LAW is a cross-border legal practice acting for private and corporate clients in international matters. We originate and retain the client relationship on the matters we place with national counsel, remain substantively involved in legal strategy and legal production, and use locally authorised lawyers for the host-law, reserved, procedural and court-facing work that requires national qualification or local rights.
Our objective is to build a small, non-exclusive panel of national counsel who already work in this manner with foreign law firms. We are not looking for a nominal signature or a referral-only relationship. Each paid matter is separately conflicted, scoped, priced and accepted before work begins.
Firm website:
www.oikonomakislaw.comOIKONOMAKIS
The Firm’s Managing Partner, Christos Oikonomakis, is a Greek-qualified lawyer and is registered in Israel as a foreign lawyer.
Within the applicable Israeli regulatory framework governing foreign lawyers, Mr. Oikonomakis provides legal services in Israel concerning Greek law, within the scope permitted by his professional qualification and foreign-lawyer registration.
His status as a registered foreign lawyer does not authorize him to practice Israeli law.
OIKONOMAKIS LAW is therefore seeking to establish an independent professional collaboration with an experienced Israeli lawyer based in Tel Aviv or the wider Tel Aviv District who can independently undertake the Israeli-law components of cross-border matters handled by Mr. Oikonomakis and the Firm.
Nature of the Opportunity
This is not an employment position.
We are inviting proposals for an independent professional collaboration between OIKONOMAKIS LAW / Christos Oikonomakis and an Israeli legal practitioner or independent Israeli legal practice.
The participating lawyers and legal practices will remain fully:
* professionally independent;
* legally and scientifically independent;
* financially independent;
* organizationally independent; and
* corporately independent.
Each lawyer or legal practice will remain independently responsible for:
* the legal advice and services provided by them;
* compliance with the professional and regulatory framework applicable to their own practice;
* professional conduct requirements;
* professional liability and insurance arrangements applicable to them;
* their own professional decisions and legal opinions; and
* the conduct of those parts of each matter falling within their respective professional qualification and authorization.
The collaboration may operate on a case-by-case, referral, co-counsel and/or continuing professional collaboration basis depending upon the nature and volume of cross-border matters.
Scope of Collaboration
Cross-border matters may involve circumstances where Mr Oikonomakis provides advice concerning Greek law while the same transaction, dispute or client matter simultaneously raises issues of Israeli law.
In such circumstances, the selected Israeli lawyer may be independently instructed to undertake the relevant Israeli-law workstream.
This may include, where appropriate:
* advising on Israeli law;
* preparing Israeli legal opinions;
* identifying Israeli-law implications arising from cross-border matters;
* drafting and reviewing contracts governed by Israeli law;
* corporate and commercial matters;
* company and investment matters;
* civil and commercial disputes;
* litigation and dispute resolution;
* recognition and enforcement of foreign judgments;
* arbitration and alternative dispute resolution;
* property and real estate matters;
* immigration and residency matters;
* inheritance and succession matters;
* family and private client matters involving Greece and Israel;
* banking and regulatory matters;
* dealings with Israeli public authorities, registries and institutions;
* representation before Israeli courts, tribunals or authorities where professionally appropriate;
* negotiations with Israeli counterparties;
* conducting Israeli legal research;
* preparing Israeli-law memoranda and procedural documentation; and
* cooperating with Greek and other international counsel on multi-jurisdictional matters.
The objective is to provide clients with coordinated and efficient cross-border assistance while ensuring a clear division between Greek-law legal services and Israeli-law legal services.
Regulatory Structure
The proposed cooperation is designed specifically to respect the professional boundaries applicable to foreign lawyers operating in Israel.
Mr. Christos Oikonomakis will provide legal services only within the scope of his foreign professional qualification and registration in Israel, including advice and legal work concerning Greek law.
Any legal service that constitutes the practice of Israeli law will be undertaken independently by the appropriately qualified Israeli lawyer.
The Israeli collaborating lawyer will retain complete professional control and responsibility for the Israeli-law component of any matter entrusted to them.
Requirements
Applicants must:
* be fully admitted to practice law in Israel;
* be current members of the Israel Bar Association;
* be legally authorized to practice Israeli law;
* be in good professional standing;
* have a minimum of five (5) years of post-qualification legal experience;
* maintain the professional arrangements and insurance appropriate to their practice;
* be based in Tel Aviv or otherwise able to provide effective legal services throughout Israel;
* possess excellent legal drafting, research and analytical skills;
* demonstrate the ability to handle matters independently;
* have strong professional judgment and client-management abilities;
* have excellent written and spoken Hebrew;
* have excellent written and spoken English; and
* maintain high standards of confidentiality, professional ethics and responsiveness.
Preferred Experience
Particular consideration will be given to lawyers experienced in one or more of the following areas:
* Corporate and Commercial Law
* Commercial Litigation
* Civil Litigation
* Contract Law
* International and Cross-Border Disputes
* Private International Law
* Recognition and Enforcement of Foreign Judgments
* Arbitration and Alternative Dispute Resolution
* Real Estate and Property Law
* Immigration and Residency
* Inheritance and Succession
* Family and Private Client Law
* International Business Transactions
* Banking and Regulatory Matters
* International Investments
Experience involving:
* international clients;
* European businesses;
* Greek individuals or companies;
* Israeli investments in Greece;
* Greek investments or interests in Israel;
* cross-border Greece–Israel disputes;
* real estate transactions involving Greece and Israel; or
* clients with legal interests in both jurisdictions will be considered a significant advantage.
Knowledge of the Greek language is advantageous but not required.
Professional Independence
The selected collaborator will not become an employee of OIKONOMAKIS LAW by virtue of this collaboration.
The arrangement is intended to preserve the complete legal, professional, scientific, organizational and corporate independence of all participating lawyers and legal practices.
There will be no employment relationship solely by reason of the collaboration.
Each matter will be subject to:
* appropriate conflict-of-interest checks;
* acceptance by the relevant lawyer;
* agreement on the scope of work;
* clear allocation of professional responsibility;
* applicable regulatory and professional requirements; and
* agreement on professional fees.
What We Are Looking For
We are particularly interested in establishing a long-term professional relationship with a reliable, experienced and commercially minded Israeli lawyer who is comfortable operating independently while coordinating efficiently with international counsel.
The collaboration may include:
* individual client referrals;
* Greece–Israel cross-border matters;
* Israeli-law workstreams within larger international files;
* joint coordination of multi-jurisdictional disputes;
* transactional matters;
* international investments;
* private-client matters; and
* continuing collaboration regarding clients with legal and commercial interests in both Greece and Israel.
The objective is not to create an employment relationship, but to establish a reliable professional cooperation between independent legal practitioners.
Application
Interested lawyers are invited to submit:
* a current CV or professional profile;
* Israel Bar Association membership details;
* confirmation of current authority to practice Israeli law;
* details of their existing law firm or independent legal practice;
* principal areas of practice;
* confirmation of at least five years of post-qualification professional experience;
* a summary of relevant international and cross-border experience;
* languages spoken;
* confirmation of appropriate professional arrangements;
* their preferred structure for professional collaboration; and
* indicative hourly and/or matter-based professional rates.
Applications and proposals will be treated confidentially and will remain subject to professional conflict and regulatory checks.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Please note this role requires 3 days in office per week.
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:
$240,000
—
$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: 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.
At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought.
We're specifically looking for a Software Engineer to help us build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must!
Responsibilities:
Design, build, and maintain scalable features and infrastructure for AI-powered development tools
Engage directly with developers inside and outside Anthropic to gather insights and improve user experience
Collaborate with researchers to improve model capabilities through shared tools and evals
Stay ahead of advancements in AI-assisted coding by experimenting with new tools, evaluating emerging techniques, and tracking enhancements to existing ones
Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimize performance
Dive into possibly unfamiliar areas like Python notebooks, VS Code plug-ins, and containerized environments.
You may be a good fit if you:
Are excited about AI-assisted coding as a tool to enhance developer productivity and creativity—not replace human ingenuity
Spend a lot of time refining and customizing your AI workflows
Have experience building and maintaining dev tools
Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture
Specialize in user experience engineering but are a capable full stack developer
Have hands-on experience working with large language models and prompt engineering
Have worked on projects with stringent safety, security and/or compliance requirements
Care about the societal impacts and ethics of your work
Have 6+ years of work experience
Strong candidates may also have experience with:
Building and maintaining CLI tools
Working in large codebases and quickly jumping in to unfamiliar development environments
Working with container orchestration and cloud infrastructure
Scaling TypeScript projects
Working with alternate JavaScript runtimes like Bun and Deno
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
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial.
This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up. You'll sit within our Data Infrastructure team, architecting privacy-preserving systems, leading the implementation of privacy-enhancing technologies across our infrastructure, and providing technical leadership on privacy across engineering, research, and product teams.
You'll work at the intersection of privacy engineering, AI safety, and distributed systems, solving problems that don't yet have established answers. This is a senior individual contributor role with high autonomy and broad influence.
Key responsibilities
Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques e.g. differential privacy, federated learning, and secure multi-party computation
Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality
Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management
Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into technical implementations and automated compliance controls
Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems
Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations
Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines
Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default
Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data
Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards
Advise on and advocate for privacy practices as a core part of how we approach AI safety
Minimum qualifications
Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation
Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale
Experience designing and implementing privacy infrastructure for systems with a large user base
Experience with data governance, classification, or data lifecycle management systems
Experience with distributed systems and cloud infrastructure at scale
Understanding of privacy regulations such as GDPR and CCPA, and the ability to translate legal requirements into technical designs
Experience conducting privacy reviews, threat modeling, or risk assessments
Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams
Preferred qualifications
Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation)
Experience building privacy infrastructure or controls for machine learning or AI systems
Experience establishing a privacy engineering practice, or being an early hire in a function
Experience serving as a technical lead on complex, multi-quarter projects
Contributions to open-source privacy tooling, privacy research, or industry standards
12+ years of experience in a software engineering role, including building and operating large-scale infrastructure
3+ years of experience leading large, complex projects as a technical lead
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Finance Systems Analyst, Tax, to join the Tax Technology team within Finance Systems at Anthropic. You will be responsible for the day-to-day running of Anthropic's tax systems: taking in and triaging requests, keeping tax configuration correct as products launch and registrations change, testing changes before they go live, analyzing tax data, and producing the evidence that shows our tax controls are comprehensive and functional. You speak both tax and system languages natively and serve as the gap between technical teams and the business.
This is an early hire on a small team, and the role is broad by design. It suits someone with a tax operations background who is at home in systems and data; it is not a software engineering role. You will work between the tax team and the systems that calculate and report tax, translating tax requirements into configuration and test cases and building technically appropriate tools with Claude where they are safe and save time. You will report to the Tax Technology Lead and work directly with vendors, auditors, Billing Engineering, Accounting, and the Tax & Treasury team. As the team grows, you will take end-to-end ownership of an area of tax, a tax tool, or new products and jurisdictions.
Responsibilities
Intake & Triage:
Own the queue of tax systems requests from billing support and across the tax team, from intake and triage through resolution or escalation, keeping requesters informed along the way; help build the intake process, including with Claude, as request volume grows
Tax Configuration:
Make and document tax configuration changes as products launch and our footprint grows, including product taxability mapping, registrations, and exemption and refund rules; build runbooks and periodic completeness checks, such as reviewing the products in our billing systems against tax configuration
Testing & Change Management:
In conjunction with our PMO team or alone, design and run user acceptance testing (UAT) for tax and billing changes, keep the test evidence, and give the tax sign-off before changes go live
Tax Data Analysis:
Write SQL against our data warehouse to build reconciliations and tie-outs, investigate discrepancies, and answer ad hoc questions from the tax team
Controls & Evidence:
Prepare ITGC evidence and run the recurring SOX and IPE evidence cycle for tax controls, support auditor walkthroughs, and follow remediation items through to closure
Cross Functional Collaboration:
Act as the tax systems point of contact for Billing Engineering, Accounting and Product, bringing the tax view to design questions and flagging tax impacts before changes ship
Process Improvement & AI Tools:
Use Claude and other AI tools to build reliable, repeatable queries, small tools and documentation that take manual work out of tax operations, and check the output before anyone relies on it; help tax colleagues with a range of technical skills use these tools safely
Minimum Qualifications
Have hands-on experience configuring or supporting an enterprise tax engine, tax provision tooling, or a billing or ERP system in a tax-facing role
Can read and write SQL well enough to test and build deterministic reconciliations and trace a discrepancy to its source without help
Are skilled at translating tax requirements into configuration, test cases and clear requests for engineering teams
Have owned or been involved in user acceptance testing on a finance systems project, from test design through execution and evidence
Understand SOX, ITGC and IPE controls, can produce evidence that auditors accept, and have worked with external advisors and auditors
Have cross-functional experience, communicate clearly with non-technical colleagues, and work directly with vendors, auditors and engineers without an intermediary
Are comfortable working in a fast paced, high growth environment with evolving requirements and stepping outside of your comfort zone
Approach areas of tax you may not have experience in with genuine curiosity and a willingness to learn
Prioritize well and stay resilient when there is more work than time
Preferred Qualifications
Have 7+ years of experience in tax operations, tax technology or finance systems, with deep, practical knowledge of indirect and/or direct tax (such as sales and use tax, VAT/GST, corporate income tax, transfer pricing, withholding or property tax, R&D credits and incentives)
Experience across both indirect and direct tax, such as tax provision tooling, income tax compliance, R&D credit tools or transfer pricing data
Python and data warehouse experience
Experience with tax setup on the purchasing side of an ERP, from purchase orders through supplier invoices
Experience with marketplace facilitator rules or usage-based billing
Familiarity with e-invoicing and real-time tax reporting requirements outside the US
Experience standing up a recurring controls evidence cycle
A track record of using Claude or other AI tools to speed up finance or tax work, with checks that hold up to review
Tax experience at a large or high growth technology company, such as a multinational SaaS business
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:
$205,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE:
Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.
We are seeking a Strategic Finance professional to join Replit's growing team in Foster City, CA. In this critical role, you'll work in a lean team supporting high-impact strategic and operational initiatives across the business to drive data-driven decision making. You’ll partner directly with executive leadership and the Board to align financial strategies with our ambitious growth objectives. This role reports to the Head of Finance.
ROLES & RESPONSIBILITIES:
You'll contribute to critical projects across three main core areas:
Internal Strategic & Operational Initiatives
- Cross-Functional Partnership: Partner with Sales, Marketing, Support, Product, and Engineering teams to build financial models and analyses that drive organizational decision-making
- New product launches: Build and present financial models, business cases, and investment analyses for new product launches
- GTM Finance: Partner with go-to-market leadership to drive growth through sales capacity planning, funnel and pipeline analytics, pricing strategy and resource allocation
- Pricing & Packaging: Analyze pricing and packaging strategies using quantitative and qualitative frameworks to recommend optimal approaches
- Unit Economics: Recommend strategies that balance growth investments with operational efficiency to achieve long-term margin targets
- International Growth: Analyze global expansion opportunities including localization, regional pricing strategies, go-to-market approaches, and commercial partnerships
- Enterprise Sales: Partner with sales leadership to scale enterprise sales operations and strategy
Corporate Strategy & Planning
- Long-Range Planning: Collaborate with FP&A team on forecasting, financial planning, long-range planning, growth headcount planning, and overall financial strategy
- Board Reporting: Assist in preparing quarterly board materials and presentations
- Market Insights: Conduct competitive analysis and industry research to inform strategic planning
Corporate Development & Investor Relations
- Corporate Development: Support corporate development initiatives including M&A, joint ventures, and strategic partnerships from initial sourcing through execution and integration
- Investor Relations & Fundraising: Support investor relations activities including fundraising, investor communications, and preparation of materials for investors
REQUIRED SKILLS AND EXPERIENCE:
- 3-6 years in investment banking, private equity, consulting, business operations, and/or strategic finance
- Experience with SQL, Python, or other data analysis tools
- An entrepreneurial mindset with the ability to operate in ambiguous, fast-moving environments
- Self-directed with a strong work ethic and ability to manage multiple projects under tight deadlines
- Expert-level financial modeling skills and proficiency with business intelligence tools
- Strong presence and communication skills
- Exceptional business judgment with the ability to synthesize complex data into actionable strategic insights
Join Replit and help shape the financial future of a platform that's revolutionizing how people learn, build, and deploy software with AI.
BONUS POINTS:
- Experience in strategic finance or related field at a scaling technology company
- Current Replit user
- Background in AI or enterprise technology companies
- Understanding of compute and infrastructure costs in tech environments
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning.
Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development.
About the Role
As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decision for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.
Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity.
Responsibilities
Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents
Work with RL org leads on prioritizing, ranking, and tracking the state of experiments
Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided
Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down
Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions
You May Be a Good Fit If You
Have a background in ML engineering or ML research before transitioning to technical program management
Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production
Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research
Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers
Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery
Are excited about pushing the frontier of what RL can do at scale
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: Espoo
Workplace: Hybrid
- Senior Backend Software Engineer (Tactical Access)
- Business Automation - Engineering
- Location: Espoo, Finland
- Reports to: Engineering Lead of Tactical Access squad
- Contract type: Permanent
- Hybrid, 3 days per week in the Espoo office
- Employment is subject to applicable security screening (incl. SUPO)
THE MISSION OF THE SENIOR BACKEND SOFTWARE ENGINEER
You will own the backend systems that let customers plan and manage satellite tasking through Tactical Access, ICEYE's tactical customer access product.
Tactical Access is customer-facing on two fronts, API and web, so this role sits at the intersection of backend engineering rigor and product ownership. You will design and operate the services and data models that power satellite tasking for real customers, and you will be trusted to make API design and reliability decisions that customers depend on directly, not just internal consumers.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
EXPECTED OUTCOMES & REQUIREMENTS
Outcomes
- Own end-to-end delivery of at least one significant Tactical Access backend capability, from API design through production operation, with documented tradeoffs
- Reduce production risk in owned services through improved observability (metrics, traces, alerting) and demonstrated root-cause fixes, not just symptom patches
- Ship API changes that account for client/customer impact (versioning, backwards compatibility) with no unplanned breaking changes to integrators
- Collaborate directly with product managers, customers, and other engineering teams to turn business needs into the right technical tradeoffs
- Contribute full-stack when end-to-end delivery requires it, without backend ownership slipping as a result
- Actively raise the engineering bar in code review and architecture discussions for the team, not just their own PRs
Role-specific Competences
- Production backend engineering experience in Go (or a closely comparable typed language) building and operating APIs and backend systems in production
- API design and lifecycle ownership: versioning, backwards compatibility, and reasoning about customer impact of changes
- Cloud (AWS) and container/orchestration experience (Docker, Kubernetes, Terraform); on-prem environment awareness is a plus
- Data and messaging experience: PostgreSQL for storage, NATS for event-driven communication
- Observability experience: building and maintaining dashboards and alerting with Prometheus, Grafana, and OpenTelemetry; comfortable distinguishing metrics, logs, and traces during a live incident
- Treats testing, documentation, and code review as core engineering practice, not overhead
- Applies security and quality best practices in a production, customer-facing system
- Good experience in AI-assisted engineering tools (Cursor, Devin, or similar)
- Familiarity with authentication/authorization standards (OAuth, OpenID Connect, JWT) and geospatial data (PostGIS, GeoJSON)
KEY COMPETENCES
In addition to the requirements above, we evaluate candidates on these key qualities throughout the hiring process:
Intellectual Firepower: Rapidly comprehends, structures and synthesizes complex information, draws accurate conclusions, and communicates them with clarity.
Passion & Work Ethic: Brings sustained motivation, resilience, and high personal standards to every challenge.
Ownership & Action: Assumes full accountability for outcomes, acting decisively, and ensuring commitments are delivered.
Team Player: Works collaboratively across teams, contributing to shared success, and engaging in constructive debate.
Integrity & Growth Mindset: Operates with transparency and humility, learns from setbacks, and actively seeks opportunities to grow.
APPLICATION PROCESS
- TA Partner Screen
- Hiring Manager Interview
- Technical Interview
- Values & Fit Interview
WHAT WE OFFER AT ICEYE
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
BENEFITS (FINLAND)
- A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Occupational healthcare, occupational, and accident insurance
- A yearly benefit budget to spend as you wish (sport, transport, bike benefit, wellness, lunch, etc.)
- Phone subscription with iPhone of choice
- Relocation support (flight tickets, accommodation, relocation agency support)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborating offices and silent workspaces enable you to focus
Base salary range for this position is 6,000-8,000 EUR per month (gross), contingent on your experience level, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
At ICEYE, we believe that diversity isn't just a buzzword, it's our greatest asset.
We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger.
We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic runs some of the largest AI training and inference workloads in the world, across multiple hardware platforms. We work from the chip level up with our silicon partners, and we are now deepening that investment by building a custom silicon team.
You will be one of a small number of people covering a large surface. We are opening searches across the key domains below, and we are interested in candidates whose center of gravity sits in any of them:
Front-end design
Pre-silicon verification
Physical design
Design for test
Analog and mixed-signal
Technology and foundry
CAD and design infrastructure
Packaging, signal integrity, and power integrity
This is a role for someone who has shipped silicon, has a realistic relationship with schedules, and is comfortable making consequential calls without a large organization behind them.
Key responsibilities
Take part in end to end activities for the program: strategy, specification, execution and the technical bar.
Write the specifications and interface definitions that others design against and keep them coherent as the architecture converges
Make and own directional calls: technology and IP selection, where we build versus buy versus license, and where we take design authority versus rely on partners
Build and share AI-assisted approaches to the code-like parts of your domain, and help the team learn what Claude can genuinely accelerate
Contribute to the architecture and micro-architecture discussion from your domain's perspective, including the tradeoffs your area imposes on the rest of the chip
Partner with Anthropic's inference, performance, kernels, and infrastructure teams on hardware-software co-design, and with our hardware systems team on bring-up and integration
Support first-silicon bring-up and debug when it arrives, regardless of which domain you came in through
Minimum qualifications
Deep, hands-on expertise in at least one silicon domain: front-end design, pre-silicon verification, physical design, design for test, analog and mixed-signal, technology and foundry, design infrastructure, or packaging and signal/power integrity
Direct personal contribution to silicon that taped out and shipped, with ownership you can speak to in detail
Working fluency in the domains adjacent to your own, sufficient to reason about chip-level tradeoffs outside your specialty
Experience working with external partners — ASIC houses, IP vendors, foundries, or test partners — including reviewing their work and holding a technical bar
Track record of owning directional technical decisions and their consequences, not only making recommendations
Practical experience using AI coding tools in your own work, and clear ideas about where they help and where they do not
Clear written and verbal communication, and experience driving alignment across teams and organizations
Comfort operating with high autonomy and little scaffolding on a highly dynamic program
Preferred qualifications
Experience on machine learning accelerators, high-performance compute, or other large, high-bandwidth designs
Experience on a founding or early-stage silicon team, including standing up flows, methodology, or tooling from nothing
Experience with both partner-executed and fully in-house programs, and a view on the tradeoffs between them
Familiarity with the chip-package-system interface and the tradeoffs that cross it
Experience with hardware-software co-design and working directly with compiler, kernel, or runtime teams
Experience building or extending AI-assisted design, verification, or physical design flows
Depth in memory subsystems, on-die interconnect, numerics, or low-power design
Representative projects
Writing the specification for a compute datapath and defending its numeric format strategy against the alternatives
Standing up front-end flows and release management from scratch, then handing releases to an ASIC partner on a fixed cadence
Running fast in-house place-and-route loops on a critical block and feeding PPA reality back into the architecture
Selecting and qualifying PHY IP, then validating it on first silicon
Building a formal verification methodology for a new block and deciding where formal earns its keep versus simulation
Defining test strategy and the automated-test-equipment handoff interface with our partner
Prototyping a Claude-assisted workflow for RTL review, coverage triage, or specification consistency checking, and reporting honestly on what it did and did not do
Debugging a first-silicon failure that crosses your domain and someone else's
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface.
We're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls — what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result.
The skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability — applied across networking, compute, storage, and accelerator systems.
You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator — we expect this team to push on what AI-assisted hardware design and review can look like.
Key responsibilities
Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment — and act as a reviewer and thought partner across the others.
Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against.
Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it.
Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology.
Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level.
Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures.
Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term.
Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them.
Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement.
Minimum qualifications
Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems.
Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements.
Experience taking hardware from architecture through bring-up and high-volume production deployment.
Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification.
Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one.
Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners.
Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment.
Strong written communication — you'll write specs and reviews that many teams depend on.
Preferred qualifications
8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms.
Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics.
Familiarity with the chip-package-system interface and co-design.
Experience establishing a new function, program, or engineering practice.
Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow.
Degree in EE, CE, ME, CS, or a related field, or equivalent experience.
Depth in one or more of:
High-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect.
BMC and platform firmware, hardware root of trust, and secure boot.
48V/HVDC power delivery and direct liquid cooling.
Fleet-scale reliability engineering and RAS architecture.
Signal and power integrity.
Representative projects
Define the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan.
Architect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs.
Own the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it.
Build the reliability model and RAS strategy for a multi-thousand-node fleet — failure budgets, derating policy, telemetry requirements, and serviceability targets — and drive the design changes that hit them.
Run the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end.
Prototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live platform.
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: Bulgaria; Poland; Serbia
Would you like to build a career in a leading multinational IT company?
We’re looking for an AI Adoption Officer to lead AI transformation across the organization. You’ll help teams integrate AI into their daily work by identifying high-impact use cases, improving business processes, reducing manual work, and driving productivity through practical AI solutions.
Since 2007, MMDSmart has been a leading supplier in cloud communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.
You’ll work closely with business leaders to identify opportunities, implement AI tools, establish best practices and governance, and ensure employees are confident in adopting AI.
Key Responsibilities:
Develop and execute the organization's AI strategy and roadmap aligned with business objectives.
Identify, prioritize, and implement high-impact AI use cases to optimize business processes and improve productivity.
Lead the evaluation, deployment, and continuous optimization of AI tools and solutions across the organization.
Drive AI adoption through employee training, change management, and the development of AI best practices.
Establish and maintain AI governance, ensuring responsible, secure, and ethical AI usage.
Define and monitor KPIs, measure business impact, and provide data-driven recommendations to leadership.
Stay informed on emerging AI technologies and identify opportunities to drive innovation and competitive advantage.
Requirements
Qualifications:
Bachelor's degree in Business, Information Technology, Computer Science, or equivalent practical experience.
Experience leading AI adoption, digital transformation, business transformation, or process improvement initiatives.
Strong understanding of Generative AI technologies and productivity platforms (e.g., ChatGPT, Microsoft Copilot, Google Gemini, Claude, or similar).
Experience implementing AI solutions within business environments.
Experience training and supporting non-technical users in adopting new technologies.
Strong understanding of business process analysis and workflow optimization.
Experience leading cross-functional projects and organizational change initiatives.
Ability to evaluate AI solutions based on business value and return on investment.
Excellent analytical, communication, presentation, and stakeholder management skills.
Curiosity about emerging AI technologies and a passion for continuous learning.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness:
Access to mental health programs, comprehensive medical insurance, and a sports card*.
Your Happiness:
Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development:
Benefit from free educational events & courses, and English classes with native speakers.
Your Career:
Focus on your professional development in a supportive environment
Think this role’s got your name on it? Go ahead and apply, we’d love to see what you’ve got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Dhahran, Saudi Arabia
We are looking for a
Generative AI Designer
to create high-quality AI-generated visual content for digital marketing, branding, social media, advertising, product design, and multimedia campaigns. The ideal candidate combines strong graphic design fundamentals with expertise in Generative AI tools to produce creative, innovative, and production-ready assets.
Key Responsibilities
Design visually compelling graphics, illustrations, and marketing materials using AI-powered creative tools.
Create AI-generated images, artwork, concepts, and brand assets while maintaining consistency with brand guidelines.
Develop effective prompts to generate high-quality visual outputs using text-to-image and image-to-image models.
Refine, edit, and enhance AI-generated content using professional design software.
Produce creative assets for social media, websites, presentations, digital advertising, and print.
Collaborate with marketing, branding, and product teams to develop creative concepts.
Stay updated with emerging Generative AI technologies, design trends, and creative workflows.
Ensure all AI-generated content complies with copyright, licensing, and ethical AI guidelines.
Build reusable prompt libraries and AI-assisted design workflows to improve efficiency.
Create storyboards, mockups, UI concepts, and campaign visuals using AI-assisted design techniques.
Requirements
Required Qualifications
Bachelor's degree in
Graphic Design, Visual Communication, Multimedia Design, Digital Arts, Fine Arts, Animation, UI/UX Design, or a related creative field.
10
+ years
of professional graphic design or digital creative experience.
Demonstrated experience using Generative AI tools for commercial creative work.
Strong portfolio showcasing AI-assisted and traditional design projects.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As an AV Production Specialist, you'll own the day-to-day operation of the event technology behind how Anthropic communicates — the all-hands, the executive presentations, the live broadcasts. You are the owner of these productions: accountable for their technical outcome from the moment a request arrives through to the follow-up after the room clears, and the technical partner our executives, events team, and communications partners rely on to make them land.
This is an operations role with engineering depth behind it. You'll work across the same technology stack as our broadcast engineering practice with your center of gravity in execution and service. You'll keep our event spaces in a state of readiness through preventative maintenance, and be the calm, capable presence that executives, comms partners, and event producers learn to trust. Your work directly enables the collaboration and transparency that advance our AI safety mission.
Responsibilities
Live Event Production & Run-of-Show
Own the technical execution of live and hybrid events, from small executive presentations to company-wide all-hands broadcasts reaching thousands of participants
Serve as technical director for live productions across the full range, up to and including executive presentations and company-wide broadcasts Operate production systems during live events including video switchers, audio consoles, camera systems, playback, and streaming encoders
Build and run the technical run-of-show: cue sheets, source lists, rehearsal schedules, and backup plans
Direct contractors and onsite technicians during productions, delegating clearly under time pressure
Troubleshoot and escalate complex production issues with clear diagnostic context
Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language
Handle confidentiality and access requirements for sensitive sessions, including recording and streaming controls
Event Intake, Scoping & Scheduling
Own the event technology intake process end-to-end: request triage, technical scoping conversations, and staffing
Right-size production approach to event type, translating stakeholder goals into an equipment and staffing plan that fits the constraints and scope of our team’s SLA
Take on genuinely novel events and leave a repeatable standard behind — a template, runbook, or gear list that makes the next one easier than the first and repeatable by the team
Maintain the event technology calendar and coordinate coverage across the AV Operations team
Partner with Events, Internal Communications, and Workplace teams on lead times, expectations, and readiness
Support Operations & Room Health
Execute preventative maintenance programs and recurring room sweeps across event spaces and conference rooms
Maintain and test inventory of equipment including wireless microphones, cameras, and portable production gear pre event, following event production framework
Contribute to runbooks, standard operating procedures, and knowledge base documentation
Surface recurring operational pain points to AV Engineering as candidates for systemic fixes
You May Be a Good Fit If You:
Have 8+ years of hands-on experience in AV operations, live event production, or technical event support
Have owned the technical side of live productions end-to-end — not just operated a single position
Bring working fluency across event audio, video, camera, and streaming systems, with enough depth to diagnose problems rather than only report them
Are energized rather than drained by being the front-facing technical partner to executives and event producers
Bring structure to ambiguity by building systems for repeatable events
Strong Candidates May Also Have:
Technical direction for corporate broadcasts, conferences, or multi-camera productions
Q-SYS DSP platform, including reading and reasoning about existing audio/video routing and control designs
PTZ and professional camera systems, camera control units, and multi-camera workflows
Video conferencing platforms and hardware including Google Meet, Zoom Rooms, and hybrid meeting technologies
Live streaming workflows including encoders and encoding settings, contribution and delivery protocols (RTMP, SRT, HLS)
Network fundamentals for AV-over-IP including multicast, VLANs, QoS, and bandwidth management
Ticketing and workflow systems such as Jira, and building intake or request workflows within them
Coordinating AV contractors, integrators, and labor for event coverage
Role Specific Location Policy:
This role will be based in our San Francisco HQ
This role is expected to be in office 5 days per week
Occasional evening and early-morning coverage is expected around major events
4-6 weeks of travel annually will be expected for this role for distributed event support as needed
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:
$285,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - USA
Workplace: Remote
The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.
Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream.
Chainalysis data has helped solve some of the world’s highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data — connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It’s the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats.
Few threats test that mission harder than North Korea and China. Through Lazarus Group, the DPRK has stolen billions in crypto — via exchange and DeFi hacks and IT-worker schemes — to fund its weapons program, then laundered it through mixers, cross-chain bridges, and Chinese OTC networks. China, in turn, sits at the center of global crypto money laundering — from guarantee marketplaces and underground banking to scam compounds, fentanyl vendors, and cartel-linked laundering. The two are deeply intertwined, and making that activity visible on-chain is one of the most consequential problems in crypto intelligence today.
As our DPRK- and China-focused intelligence analyst — the team’s subject-matter expert on North Korea and China — you’ll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you’ll go deep on a single, high-stakes domain — becoming the person, inside Chainalysis and increasingly across the industry, who understands how DPRK and Chinese actors use crypto and can prove it on-chain. You’ll own the attribution for their crypto footprint, map how these networks actually operate, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on DPRK and China crypto threats.
Who you’ll work with
You’ll join a fast-moving, globally distributed team — analysts, threat-domain SMEs, data scientists, and engineers — collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the DPRK & China SME, you’ll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it.
In this role, you’ll:
- Own DPRK & China attribution end to end — the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Lazarus Group and DPRK state-sponsored theft and laundering, DPRK IT-worker networks, Chinese-language OTC and underground-banking networks, guarantee marketplaces (e.g., Huione-style platforms), scam-compound and pig-butchering laundering infrastructure, fentanyl and precursor vendors, and Chinese money-laundering organizations.
- Lead the attribution response to DPRK- and China-related sanctions events — when OFAC or allied authorities designate DPRK actors, exchange-hacking units, or Chinese laundering networks, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock.
- Map the networks on-chain — trace how stolen and illicit funds move through mixers, cross-chain bridges, no-KYC swaps, OTC brokers, and off-ramps, following DPRK hack proceeds into and through Chinese laundering infrastructure, and keep that picture current as they adapt to pressure.
- Produce finished intelligence — advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make DPRK theft/laundering and Chinese money laundering legible and actionable.
- Be the named external expert — represent Chainalysis on DPRK and China crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners.
- Help set the DPRK & China collection agenda — surface what data we need on these networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team’s apparatus and prioritization, not you alone.
- Translate typologies into detection — turn what you learn about DPRK and Chinese methods into guidance that our products and our customers can operationalize.
- Build with AI — design and tune the automation that scales your analysis and the team’s, and handle the hard cases automation can’t.
- Level up the team — raise the bar on DPRK, China, and money-laundering tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering.
We’re looking for candidates who have:
- Deep, demonstrable DPRK and/or China expertise — real command of DPRK state-sponsored crypto operations (Lazarus Group, exchange and bridge hacks, IT-worker schemes) and/or Chinese-language money laundering, OTC and underground banking, guarantee marketplaces, and organized-crime finance. This is the core of the role, and we’ll expect you to show it.
- On-chain tracing ability against DPRK/China targets — direct experience following DPRK hack laundering or Chinese OTC/laundering networks on-chain, or deep DPRK/China threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one.
- A national-security or threat-finance background — intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work.
- Regional fluency — a strong grasp of the DPRK and Chinese illicit-finance ecosystems and regional money-laundering flows. Mandarin and/or Korean language ability is a significant plus.
- Elite potential and a proven track record — exceptional aptitude, judgment, and work ethic; you’ve led hard problems end to end and you raise everyone around you.
- Excellent writing and communication — this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike.
- AI-forward instincts — you build automation to scale your work and others’, not just use it.
- Comfort working with data; blockchain forensics experience strongly preferred.
- 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire.
You might also have:
- Mandarin and/or Korean language ability.
- Direct experience with OFAC sanctions, designations, or the designation process — especially involving DPRK or Chinese entities.
- A record of published research or public speaking on DPRK crypto theft, Lazarus Group, or Chinese money laundering.
- Familiarity with cross-chain bridge and mixer laundering, guarantee marketplaces (e.g., Huione-style platforms), or Chinese OTC and underground-banking networks.
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end.
About the Role
Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines.
Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful.
You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones.
What You’ll Do
Run the physical lab across both sites: receiving and staging, rack-and-stack, cabling, power distribution and load planning, cooling, floor layout
Bring up new server and accelerator platforms as they arrive, from crate to a machine someone can SSH into: firmware and BIOS/UEFI setup, out-of-band management, OS install, network provisioning
Own hardware procurement for the lab: work with teams on what's coming, order ahead of need, chase quotes and lead times, keep receiving and inventory in order
Own RMA processes end-to-end for lab hardware: triage, swap, ship, track, close; drive vendor escalations
Build the one-off setups engineers ask for: debug and programming harnesses (JTAG/SWD/UART), remote power switching, console and KVM access, and the occasional improvised fix for hardware running outside the conditions it was designed for
Oversee smarthands and contractor work on-site (electricians, cabling crews, riggers, integrators, OEM field engineers): scope it, dispatch it, validate the quality
Handle physical access, asset auditing, and lifecycle tracking for hardware that is expensive and sometimes pre-release
Write it down: build the playbooks and lightweight tooling (inventory, remote power, console access) so remote teams can use the lab without pinging you for every step
Who You Are
Hands-on experience running a hardware, systems, or datacenter lab, or a similar physical compute environment: rack-and-stack, copper and fiber cabling, power distribution (PDUs, circuits, phase balancing)
Working knowledge of server hardware and its management plane: BMC/IPMI/Redfish, BIOS/UEFI configuration, serial console, PXE/network boot, firmware updates
Enough Linux and networking (VLANs, DHCP, DNS, basic switch config) to take a bare machine to a state a remote engineer can use
Have managed vendors, contractors, quotes, and freight for physical equipment
Comfortable and safe with power tools, bench power supplies, and a wiring or rack elevation diagram
Work independently with minimal supervision , and know when to ask
Bias toward action and comfort with ambiguity: you'd rather move and adjust than wait for perfect information
Communicate clearly and directly, especially when flagging risks or blockers
Strong Candidates May Also Have
Stood up a lab or datacenter room from empty: layout, power and cooling budget, first round of purchasing
Time around high-density accelerator systems (GPU/TPU-class racks), liquid cooling, or pre-release/NPI hardware bring-up
Electronics bench skills: soldering and rework, scope and multimeter, custom cable and debug harnesses, JTAG probes, light fabrication (3D printing, drilling, mounting)
Supported hardware security, firmware, or platform bring-up work
Experience with DCIM or asset-management tooling (NetBox, ServiceNow, etc.)
Bought hard-to-source or specialty hardware and dealt with the compliance and logistics that come with it
Location
This role is based in our San Francisco office (500 Howard St). Travel to nearby lab spaces is required so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline.
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
—
$405,000 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.
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