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 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:
Claude is one of the most-used AI products in the world, and the experience we build for our users directly shapes how people interact with AI every day. We're looking for a talented engineer to join the team that builds the consumer web app — the interfaces, interactions, and moments that turn Claude from a capable model into a product people genuinely enjoy using.
This is a product engineering role first and foremost. You'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use.
The pace is fast, the product is evolving quickly, and the opportunity to have a visible, direct impact on how millions of people use AI is real. If you love building consumer products and care about getting the details right, this could be a great fit.
Responsibilities:
Set technical direction for the Claude product and its features
Build and ship user-facing features for Claude's web and desktop experience
Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns rather than afterthoughts, and advocate for user experience and design considerations early in the process
Collaborate tightly with product managers to understand user needs, shape feature scope, and make informed tradeoffs as you build
Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis
You may be a good fit if you:
Have 5+ years of experience building consumer-facing web products, with a strong emphasis on UI quality and user experience
Are proficient in React, Next.js, and TypeScript, and have experience with Node.js on the backend side of the stack
Genuinely care about the user experience — not just how something looks, but how fast it loads, how reliably it works, and how it feels across devices. You think about latency and responsiveness the same way you think about design
Collaborate well with designers and product managers, and enjoy the iterative process of turning a design into something that works beautifully in the browser
Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters
Pick up slack, even if it goes outside your job description
Strong candidates may also have experience with:
Performance optimization for consumer web apps — profiling, reducing bundle size, improving rendering performance, and understanding where latency comes from end-to-end
Designing and implementing responsive layouts that work well across screen sizes and devices
Working on products with real-time or streaming interactions (chat interfaces, live updates, etc.)
Working in fast-moving consumer product environments
Candidates need not have:
100% of the skills needed to perform the job
Formal certifications or education credentials
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.
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: Pasig City, Philippines
Responsibilities:
Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines.
Develop SDTM specifications and generate SDTM datasets using SAS.
Develop ADaM specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan.
Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts.
Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE).
Create electronic submission package to FDA, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision.
Proficient in analyze information and develop innovative solutions to programming and data analysis challenges;
Support the point of contact (POC) of programming with statisticians for statistical input and analysis interpretation
Follow and reinforce regulatory agency requirements during daily job.
Serve as a programming team lead and contribute to department initiative.
Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams.
Review draft and final production deliverables for project to ensure quality and consistency.
Skills and Qualifications:
Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines.
Minimum of 4+ years of clinical programming experience, along with 1+ year of project management and 1+ year of people management experience.
Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus.
Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members.
Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world.
In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology.
Good understanding of clinical drug development process.
Strong communication skills and coordination skills. ability to communicate with global teams with supervision.
Good understanding of clinical drug development process.
Detail-oriented and ability to learn and adapt to changes.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
Responsibilities:
Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls
Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity
Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries
Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so
Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management
Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one
Mentor engineers and contribute to hiring and growth of the Security team
You may be a good fit if you:
Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale
Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++)
Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code
Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation
Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening
Experience with threat modeling and risk assessment for networked and multi cloud systems
Track record of driving engineering excellence through high standards, constructive code reviews and mentorship
Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems
Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams
Experience supporting fast-paced startup engineering teams
Strong candidates may also have experience with:
Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed
Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security
Built network traffic visibility or exfiltration detection systems
Exposure to large-scale distributed training and what it demands of a network
Led cross-functional security initiatives and navigated complex organizational dynamics
Managing infrastructure through automated configuration and policy enforcement
Hardening containerized applications and enforcing security policies
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£255,000
—
£325,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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
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 Horizons
The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models.
About the role
We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity.
This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows.
You may be a good fit if you:
Have experience in cybersecurity research.
Have experience with machine learning.
Have strong software engineering skills.
Can balance research exploration with engineering implementation.
Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also have:
Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
Experience participating in or building CTF competitions and cyber ranges.
Academic research experience in cybersecurity.
Familiarity with RL techniques and environments.
Familiarity with LLM training methodologies.
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:
$500,000
—
$850,000 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.
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: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Eram Talent is on the lookout for a skilled Welding Inspector, specifically with Aramco approval, to join our esteemed team in the Oil & Energy sector. As a prominent Talent Acquisition Consultancy, we excel at connecting highly qualified professionals with impactful projects. This role is essential for ensuring the quality, safety, and compliance of mechanical and piping systems in alignment with Aramco standards.
As a Welding Inspector, your expertise will ensure that all mechanical and piping installations are up to the requisite standards, thus safeguarding both operational integrity and environmental compliance. You will collaborate closely with project teams to drive the highest standards of quality and safety in our projects.
Responsibilities
Conduct thorough inspections of mechanical and piping systems in accordance with Aramco standards and specifications.
Evaluate the quality of materials and workmanship during the installation and assembly of piping systems.
Prepare detailed inspection reports, documenting findings, non-conformances, and recommendations for corrective actions.
Collaborate with project management and engineering teams to ensure compliance with project specifications.
Perform inspections at various stages of the construction process to ensure all work meets safety and quality standards.
Provide technical guidance and support to construction teams to rectify any identified issues.
Participate in quality meetings and discussions with stakeholders to communicate inspection findings and address concerns.
Requirements
Bachelor’s degree in Mechanical Engineering or a related field.
Minimum of 8 years of experience in mechanical and piping inspection, preferably in the Oil & Gas industry.
Must be Aramco-approved as a Mechanical and Piping Inspector.
Strong knowledge and understanding of piping codes, standards, and specifications, including ASME, API, and others related to Aramco projects.
Experience with Non-Destructive Testing (NDT) methods and the ability to interpret inspection results accurately.
Excellent analytical skills with a meticulous eye for detail.
Strong communication skills for effective collaboration with cross-functional teams.
Ability to manage multiple tasks while adhering to strict deadlines.
Proficient in using inspection tools and software for documentation and reporting.
Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Location: Ras Tanura, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Eram Talent is on the lookout for a skilled Mechanical and Piping Inspector, specifically with Aramco approval, to join our esteemed team in the Oil & Energy sector. As a prominent Talent Acquisition Consultancy, we excel at connecting highly qualified professionals with impactful projects. This role is essential for ensuring the quality, safety, and compliance of mechanical and piping systems in alignment with Aramco standards.
As a Mechanical and Piping Inspector, your expertise will ensure that all mechanical and piping installations are up to the requisite standards, thus safeguarding both operational integrity and environmental compliance. You will collaborate closely with project teams to drive the highest standards of quality and safety in our projects.
Responsibilities
Conduct thorough inspections of mechanical and piping systems in accordance with Aramco standards and specifications.
Evaluate the quality of materials and workmanship during the installation and assembly of piping systems.
Prepare detailed inspection reports, documenting findings, non-conformances, and recommendations for corrective actions.
Collaborate with project management and engineering teams to ensure compliance with project specifications.
Perform inspections at various stages of the construction process to ensure all work meets safety and quality standards.
Provide technical guidance and support to construction teams to rectify any identified issues.
Participate in quality meetings and discussions with stakeholders to communicate inspection findings and address concerns.
Requirements
Bachelor’s degree in Mechanical Engineering or a related field.
Minimum of 8 years of experience in mechanical and piping inspection, preferably in the Oil & Gas industry.
Must be Aramco-approved as a Mechanical and Piping Inspector.
Strong knowledge and understanding of piping codes, standards, and specifications, including ASME, API, and others related to Aramco projects.
Experience with Non-Destructive Testing (NDT) methods and the ability to interpret inspection results accurately.
Excellent analytical skills with a meticulous eye for detail.
Strong communication skills for effective collaboration with cross-functional teams.
Ability to manage multiple tasks while adhering to strict deadlines.
Proficient in using inspection tools and software for documentation and reporting.
Ras Tanura, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.
Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP.
We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory.
Responsibilities
Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning
Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences
Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts
Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation
Generate documentation and insights to guide successful prototypes toward full product teams
Advocate for user experience and product considerations early in the research process
Provide feedback to research teams about model effectiveness and where capabilities can be improved
Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities—context from one project should inform the next
You may be a good fit if you
Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments
Thrive in ambiguity and are energized (not anxious) by uncertainty—you're comfortable working on projects that might not exist in three months
Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff
Are deeply user-centric—you validate ideas with actual users before over-investing and talk about problems before solutions
Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments
Hold strong opinions loosely—you advocate forcefully for ideas but change your mind based on evidence
Are a generalist who can transition between different problem spaces as priorities shift
Work independently with good judgment about what matters, without needing constant direction
Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies
Communicate effectively and translate complex AI capabilities into intuitive experiences
Care about the societal impacts and ethics of your work
Strong candidates may also have
Experience building products that involve AI/ML components or working with large language models
Experience collaborating directly with research teams in AI/ML environments
Background conducting user research, interviews, and usability testing
Experience across both B2B and B2C product development, or in multiple industries
Design sensibility or hands-on experience with UI/UX for AI-powered applications
Experience with real-time applications, WebSocket implementations, or complex frontend interactions
What we're not looking for at this stage
Deep specialists who can't adapt if their domain becomes irrelevant
Engineers who've only succeeded in big-company structures with well-defined processes and long timelines
People who are precious about their work or frame all past projects as successes
Those who need clear roadmaps and get stressed by shifting priorities
Candidates need not have
100% of the skills listed above
Formal certifications or education credentials
Direct machine learning or AI research experience
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Eram Talent is on the lookout for a skilled Mechanical and Piping Inspector, specifically with Aramco approval, to join our esteemed team in the Oil & Energy sector. As a prominent Talent Acquisition Consultancy, we excel at connecting highly qualified professionals with impactful projects. This role is essential for ensuring the quality, safety, and compliance of mechanical and piping systems in alignment with Aramco standards.
As a Mechanical and Piping Inspector, your expertise will ensure that all mechanical and piping installations are up to the requisite standards, thus safeguarding both operational integrity and environmental compliance. You will collaborate closely with project teams to drive the highest standards of quality and safety in our projects.
Responsibilities
Conduct thorough inspections of mechanical and piping systems in accordance with Aramco standards and specifications.
Evaluate the quality of materials and workmanship during the installation and assembly of piping systems.
Prepare detailed inspection reports, documenting findings, non-conformances, and recommendations for corrective actions.
Collaborate with project management and engineering teams to ensure compliance with project specifications.
Perform inspections at various stages of the construction process to ensure all work meets safety and quality standards.
Provide technical guidance and support to construction teams to rectify any identified issues.
Participate in quality meetings and discussions with stakeholders to communicate inspection findings and address concerns.
Requirements
Bachelor’s degree in Mechanical Engineering or a related field.
Minimum of 8 years of experience in mechanical and piping inspection, preferably in the Oil & Gas industry.
Must be Aramco-approved as a Mechanical and Piping Inspector.
Strong knowledge and understanding of piping codes, standards, and specifications, including ASME, API, and others related to Aramco projects.
Experience with Non-Destructive Testing (NDT) methods and the ability to interpret inspection results accurately.
Excellent analytical skills with a meticulous eye for detail.
Strong communication skills for effective collaboration with cross-functional teams.
Ability to manage multiple tasks while adhering to strict deadlines.
Proficient in using inspection tools and software for documentation and reporting.
Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Location: Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.
This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.
You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.
Responsibilities
Own the technical delivery plan for each engagement.
Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
Lead technical discovery.
Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
Run day-to-day engineering execution.
Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
Own product scoping for field engagements.
Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
Own the customer relationship throughout delivery.
Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
Own value measurement and ROI.
Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
Codify reusable delivery assets.
Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
Navigate enterprise and regulatory complexity.
Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
Manage scope and change.
Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
Run delivery operations.
Sprint ceremonies, milestone reviews, and progress reporting.
Travel to customer sites.
Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).
You May Be a Good Fit If You
Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
Thrive in ambiguity and bring structure where none exists.
Have a builder's mindset — you're here to create a function, not join one.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$275,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Chicago, United States
Workplace: on-site
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
SAP Test Consultant / Lead (SAP OTC SME)
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
Evaluate and assess SAP S/4HANA OTC modules and implemented solutions / workflows to determine test coverage.
Identify gaps and opportunities in support of development, delivery and maintenance of comprehensive test coverage, test strategy and test planning.
Lead delivery of comprehensive documentation in support of business-driven workflows and End-to-End scenarios.
Collaborate with business analysts, developers, and stakeholders to ensure comprehensive requirements coverage.
Identify test requirements from business processes (BP) and specifications.
Support execution and optimization of data and functionality driven testing, set for both manual and automated execution.
Validate functional, integration, and regression testing workflows for complex business processes.
Support defect triage, assignment, validation and verification activities and provide detailed test reporting.
Experience with Agile methodologies and tools (e.g., ALM, Jira, Azure DevOps).
Ability to focus on deadlines and deliverables while sustaining daily activities.
Communicate and interact effectively with appropriate stakeholders on problems, changes and enhancements.
Support the continuous improvement of testing process, procedures reporting & tools.
Experience:
10-12 years in SAP OTC business process knowledge
Experience with software quality assurance and testing.
Proven experience testing SAP S/4HANA OTC modules.
Strong understanding of End-to-End business processes and their validation and verification / testing involving Salesforce and SAP.
Excellent interpretation and articulation, speed and accuracy, attention to detail, communication and interpersonal skills.
Other Knowledge, Skills or Abilities Required
Knowledge of API testing and integration testing frameworks Excellent analytical and problem-solving abilities.
Strong multi-tasking skills, strong technical aptitude and interest in learning and implementing new technologies.
Strong communication and collaboration skills.
Ability to work in a fast-paced, dynamic environment.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
You'll drive cross-functional execution of Anthropic's data center programs from construction through commissioning and day-to-day operations. Partnering with our Data Center and Compute teams, you'll own the program management that delivers buildings on time ready for production workloads. As we scale beyond our first sites, you'll focus on accelerating construction and deployment, building repeatable playbooks, and driving continuous improvement across our growing footprint.
Responsibilities:
Manage and develop the DC infrastructure TPM team; hire and build out the function as we scale
Lead program reviews and executive communications on delivery status, risks, and blockers
Drive construction-to-production execution across multiple sites, coordinating with partners, contractors, and internal teams
Own overall schedule tracking, risk identification, and mitigation; creating clear visibility for leadership
Align with energy and location strategy and support site selection and due diligence criteria to facilitate scaling well in advance of aggressive compute demand
Manage long pole dependencies and long-lead time development & procurement across a dynamically changing global marketplace
Partner with DC and Compute teams to drive handover criteria between site completion, equipment deployment, and operations
Coordinate with Infrastructure, Security, and Compliance teams on evolving requirements; versioning, optimization, and expansion across sites
Drive partner accountability on contractual milestones and commercial commitments
Coordinate equipment delivery and manage vendor accountability on schedules; tracking production and shipping milestones while maintaining productive partnerships
Build repeatable processes and playbooks that scale across multiple concurrent site deployments
Travel (20%) to sites to validate progress and build contractor relationships
You may be a good fit if you:
Have 7+ years in data center construction, operations, or infrastructure program management at hyperscale or critical infrastructure companies
Have management experience building and leading TPM or program management teams
Have led multi-site infrastructure programs with compressed timelines and complex cross-functional dependencies among multiple partners and vendors
Excel at aligning multiple partners, vendors, and internal engineering teams around shared deliverables
Can bridge physical infrastructure and software/security teams
Thrive in ambiguity and make decisions with incomplete information under schedule pressure
Communicate complex program status clearly to executives
Deadline to apply:
None applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Senior Sales Manager
to join one of our
clients
' Sales Department. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Job Description
:
Responsibilities
:
1. Focus on the German market, deeply explore the needs of residential/commercial & industrial energy storage customers (such as electricity optimization for automobile factories, household PV-matched energy storage, and energy management for commercial parks), identify the core pain points of customers' project planning, formulate targeted solutions, and promote the conversion of needs into actual orders; at the same time, maintain relationships with core existing customers, and improve the repurchase rate and referral rate through regular demand follow-up visits.
2. Expand local brand agents in Germany, establish a hierarchical channel system (such as regional exclusive agents and industry-specific agents, covering scenarios like residential energy storage retail and commercial & industrial projects); formulate agent assessment standards and incentive policies (such as tiered sales rebates and market promotion subsidies), conduct regular product training and business reviews, enhance the professional capabilities and loyalty of channels, and ensure the steady growth of channel sales.
3. Develop local OEM customers in Germany (such as energy storage equipment assembly plants, PV system integrators, and smart home enterprises), negotiate customized cooperation models (such as exclusive product parameter development and joint brand packaging), expand the dimensions of the sales network, and quickly penetrate the German market with the help of local enterprise channels.
4. Conduct regular research on the German energy storage market, covering policies and regulations (such as the subsidy policy of Germany's Renewable Energy Sources Act and grid access standards), product demand trends (such as preferences for residential energy storage capacity and safety certification requirements for commercial & industrial energy storage), and competitor dynamics (such as channel layout, pricing strategies, and product selling points of competitors like Deye and Jinlang). Form a structured market analysis report and feed it back to the domestic headquarters to support product optimization and strategy adjustment.
5. Collaborate with the domestic technical and supply chain teams to customize energy storage solutions for German customers (such as backup power supplies for automobile factories and off-grid energy storage systems in rural areas); track the entire project execution process (contract signing, production scheduling, customs clearance logistics, and installation & commissioning), solve problems in cross-departmental collaboration and cross-regional delivery (such as supply chain delays and delayed after-sales responses), and ensure the efficient implementation of projects.
6. Lead business negotiations with German customers (on price, payment cycle, quality assurance clauses, and compliance requirements), and balance customer needs and company interests in line with the characteristics of German business culture (emphasis on details and compliance); establish long-term and stable customer relationships through offline visits and participation in industry exhibitions, and enhance the brand's recognition in the German market.
7. Assist in the post-execution phase of customer projects, take the lead in solving major after-sales problems (such as product failures and operation & maintenance needs), and promote the internal technical team to develop rapid solutions to ensure that customer satisfaction reaches a high level in the industry and reduce customer churn.
8. Other tasks: Complete other sales tasks related to the German market assigned by the European Regional Sales Director and the company's Vice President, and cooperate with cross-country business coordination in the European region (such as resource sharing and technical experience exchange).
1. Bachelor's degree or above, proficient in English reading, writing, and listening (able to use it as a working language); proficiency in German (the official language) is preferred, with the ability to independently conduct German business communication, contract interpretation, and local policy consultation, so as to adapt to the communication habits of German customers.
2. At least 2 years of overseas business experience in the new energy industry, with in-depth familiarity with energy storage products (residential/commercial & industrial), PV modules/inverters, lithium batteries, and system integration; candidates with energy storage business experience in Germany or German-speaking regions (Austria, Switzerland) are preferred.
3. Have successful experience in developing the German market business, familiar with the characteristics of the local new energy market (such as residential energy storage demand driven by high electricity prices and strict environmental compliance requirements) and competitive landscape; able to independently formulate regional sales strategies, with strong capabilities in market analysis, demand judgment, and risk avoidance.
4. Mature working methods, strong pressure resistance and execution ability, able to adapt to long-term residence in Germany and local cross-regional business trips; good professional ethics, meticulous and rigorous work attitude (in line with the German business emphasis on details), and outstanding learning ability, able to quickly adapt to the company's product characteristics and EU compliance requirements.
Work Environment
:
1. Detailed Address:-Overseas Address: Permanently based in Germany
2. Department: Sales Center (European Region)
3. Department Structure:-Global Sales Centers Distribution: Brazil (Latin America Operation Center), Vietnam/Pakistan (Asia-Pacific Core), Poland, the Netherlands (Western Europe Operation Center), Dubai (covering Africa).-Germany is a core strategic market in the European region (due to high electricity prices and strong demand for residential energy storage);-The current local team in Europe has approximately 10 people (distributed in Eastern European countries such as Poland and Romania);-A separate team has not yet been established in Germany.
4. Nationality/Background: Local German or Chinese
5. Language: Proficiency in English as a working language; proficiency in German is preferred
Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Tabuk, Saudi Arabia; Yanbu, Saudi Arabia
Eram Talent is seeking a Financial Planning & Strategy Lead for the Academy division, based in Saudi Arabia. This role will be pivotal in driving the financial strategy, planning, and performance management for our educational initiatives. This position coordinates the annual budget development, tracks strategic initiatives for board-level reporting, and manages risk and audit compliance. The Lead also provides high-level project management for new initiatives, develops long-range revenue projections, and oversees the academy's policy and procedures framework to ensure operational excellence.
·Reporting & Analysis: Design and produce all academy reports related to program performance, cost-benefit analysis, and revenue generation, providing insights and recommendations for improvement.
·Budgeting & Financial Planning: Lead the development of the academy's annual budget in collaboration with program managers and central operations.
·Revenue Forecasting: Develop multi-year revenue projections for each program, monitor financial execution against targets, and provide regular forecasts.
·Strategic Initiative Tracking: Track and document the academy's strategic initiatives, preparing and presenting regular progress reports for the board and senior management.
·Risk & Audit Management: Monitor, track, and manage the closure of all risk and audit observations for the academy, ensuring timely resolution and compliance.
·Operational & Meeting Cadence: Produce the academy's master event calendar and manage the annual calendar for key HR and finance cycles (e.g., hiring, promotions, financial report submissions).
Requirements
Bachelor's degree in Finance, Business Administration, or a related field; MBA preferred.
4+ years of experience in financial planning, analysis, and strategy, preferably in the education sector or related field.
Proven experience in leading financial strategy development and implementation.
Strong analytical and financial modeling skills, with the ability to interpret complex data and provide actionable insights.
Excellent communication and presentation skills, with experience in influencing and engaging stakeholders.
Demonstrated leadership skills and the ability to manage and develop a high-performing team.
Familiarity with financial software and ERP systems; advanced proficiency in Excel is required.
leadJeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Tabuk, Saudi Arabia; Yanbu, Saudi Arabia
Location: Al Jubail, Saudi Arabia
Eram Talent is seeking a skilled Heavy Equipment Operator to join our team in Saudi Arabia. As a prominent Talent Acquisition Consultancy, we provide outstanding recruitment solutions across multiple industries. Our dedicated Technical Recruiters are focused on identifying high-caliber talents with diverse skill sets to meet the needs of our clients.
Responsibilities
Operate heavy equipment such as excavators, bulldozers, Backhoe and cranes safely and efficiently
Ensure compliance with safety regulations and company policies while working on construction sites
Conduct regular inspections and maintenance on equipment to maintain optimal performance
Collaborate with site supervisors and crew members to complete tasks effectively
Maintain accurate records of equipment usage and perform necessary reporting
Assist in the training of junior operators as needed
Requirements
At least 1 year of experience as a heavy equipment operator
Valid heavy equipment operator certification and licenses
Proficient in operating various types of heavy machinery
Strong understanding of safety practices and regulations in construction
Ability to interpret blueprints and project documentation
Effective communication skills and ability to work in a team environment
Willingness to work in various weather conditions and on different sites across Saudi Arabia
Location: Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bergisch Gladbach, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Heinsberg, Germany; Hannover, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rostock, Germany; Rimbach, Germany; Schwerin, Germany; Ulm, Germany; Stuttgart, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany
Workplace: on-site
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Insight Analyst
to join one of our
clients' teams
.
If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you
Key Responsibilities
Interpret customer requirements, translate them into reporting deliverables, and assist in generating dashboards, report templates, and query building.
Track deadlines and deliverables to ensure prompt report delivery to clients, maintaining overall formatting and visual consistency of reports.
Craft contextual and qualitative analyses based on KPIs, proofread/edit reports for accuracy, and verify numbers and report findings.
Address customer inquiries and concerns regarding delivered reports, contributing to training and initiatives to enhance team knowledge and efficiency.
Conduct quantitative and qualitative analysis of media data to provide clients with insights on brand perception, media performance, and industry trends.
Project management to ensure customer satisfaction throughout the delivery process, analyzing mainstream and social media content to inform strategic communication objectives.
Utilize Meltwater software, Excel, and PowerPoint to extract data, produce reports, and collaborate with internal teams and clients to enhance value-added initiatives.
Develop strategies to improve report quality and objectives based on client feedback, ensuring timely completion of deliverables with high quality by effectively coordinating with the team.
0-2 years of relevant work experience (client-facing roles are advantageous).
Exceptional written and verbal communication skills in English, with a particular emphasis on proficient report writing in English.
Proficiency in Microsoft PowerPoint & Excel, including PivotTable, VLOOKUP, and similar functions.
Meticulous attention to detail, adept at handling recurring tasks and ensuring data integrity.
Proficient report writing skills, covering both qualitative and quantitative aspects.
Customer-focused mindset with a commitment to exceptional client servicing.
Critical thinking skills, facilitating insights derived from data analysis
Strong interest in current affairs, mainstream media, and social media trends.
Comfortable working autonomously and collaborating effectively with remote team members, including reporting to managers situated in distant locations.
Excellent written and verbal communication skills in German and English, particularly in report and curated newsletter writing.
Shift work is required to cover early morning delivery schedules
Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Yanbu, Saudi Arabia; Lusail, Qatar; Al Khobar, Saudi Arabia; Dubai, United Arab Emirates
Eram Talent is seeking a Health Quality Specialist to join our dynamic team in Saudi Arabia. As a leading talent acquisition consultancy, we are committed to connecting skilled professionals with top-tier companies.
The Quality and Governance Specialist ensure the maintenance of high standards of quality, compliance, and governance within KAUST Health. This role involves developing and overseeing clinical quality assurance initiatives and frameworks, ensuring adherence to regulatory standards, and working across departments to promote best practices and maintain accreditation. The Specialist provides expert knowledge and guidance to KAUST Health and helps maintain the oversight of the medical services provider, ensuring that all necessary documentation and records are kept in compliance with regulations. This position is pivotal in driving continuous improvement and safeguarding the delivery of safe, effective, and compliant healthcare services.
Responsibilities
Support the development and implementation of quality, governance, and clinical risk management frameworks.
Assist in creating and revising policies, procedures, and protocols to meet regulatory and accreditation standards.
Ensure compliance with JCI, CBAHI, and other accreditation requirements across all departments.
Conduct and support internal audits, performance assessments, and patient safety walks.
Analyze audit findings, KPIs, and incident reports to identify trends and areas for improvement.
Support Root Cause Analysis (RCA) and incident investigation processes.
Participate in patient safety initiatives and promote a proactive safety culture.
Provide operational and clinical support to the School Health Office, nursing teams, and relevant committees.
Engage with internal and external stakeholders to promote quality and contract compliance.
Oversee and support quality control initiatives at the Family and Child Support Centre (FCSC), including audits and action plans.
Requirements
Bachelor’s degree in Nursing or a medical-related specialty (or graduation from an accredited nursing school).
Minimum 5 years of relevant healthcare experience.
At least 3 years of experience in quality, governance, or accreditation-related roles.
Experience working in a healthcare environment in Saudi Arabia (preferred).
Strong knowledge of quality improvement methodologies and clinical governance practices.
Direct experience with JCI, CBAHI, or other healthcare accreditation processes (highly desirable).
Strong analytical and problem-solving skills, with the ability to interpret data and identify risks.
Excellent communication and interpersonal skills to collaborate with diverse stakeholders.
Ability to build effective working relationships across departments and teams.
Excellent verbal and written English proficiency.
Location: Uzbekistan
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Technical Advisor for Epidemiology will provide technical expertise and support to the Director of Center of Sanitary, Epidemiology, and Welfare (CSEW) Services, Ministry of Health, in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives. The Advisor will focus on implementing recommendations related to epidemiology from the Joint External Evaluation (JEE) and raising the demonstrated capacity of the Government of Uzbekistan to prevent, detect, and respond to infectious disease outbreaks and public health emergencies. The Advisor will provide day-to-day support to enhance the capacity of CSEW in managing epidemiological activities.
Responsibilities
JEE Recommendations Implementation:
Analyze and prioritize the JEE recommendations related to epidemiology.
Provide expert technical advice about implementing the epidemiology activities described in action plans developed to address the JEE recommendations. These action plans include, but are not limited to, the National Action Plan for Health Security (NAPHS), Antimicrobial Resistance (AMR) Action Plan, National Emergency Preparedness and Response Action Plan, Tripartite Zoonotic Disease Action Plan, and other action plans, operational plans, and roadmaps related to global health security and the national cross-sectoral health framework.
Monitor and report on the progress of implementing the JEE recommendations on epidemiology in the context of approved Global Health Security Monitoring and Evaluation Frameworks.
Technical Support:
Provide day-to-day technical support to the Director of CSEW on epidemiological issues.
Assist in designing, implementing, and evaluating epidemiological studies and surveillance systems.
Assist in developing epidemiological content for proposed policies, strategies, standard operating procedures, and protocols
Provide expertise in data collection, analysis, and interpretation of epidemiological data.
Assist Technical Working Groups (TWGs) in providing epidemiological advice to the CSEW and multisectoral steering committees.
Capacity Building:
Provide input to and/or conduct training sessions and workshops to build the capacity of CSEW staff in epidemiology.
Develop training materials and resources on epidemiological methods and best practices.
Coordination and Collaboration:
Collaborate with Secretariats, other departments, and stakeholders to ensure a coordinated approach to epidemiological issues.
Participate in meetings and discussions related to epidemiology and public health.
Reporting and Documentation:
Prepare detailed reports on the implementation of JEE recommendations pertaining to epidemiology.
Document best practices and lessons learned from epidemiological projects and initiatives.
Provide epidemiological and public health indicator-related information and data to DoS, as requested and in accordance with Ministry of Health guidelines and procedures.
Advisory Role:
Provide strategic advice to the Director of CSEW on epidemiological matters.
Stay updated on the latest developments and trends in epidemiology and public health.
Cross-Sectoral Health:
Advocate and promote an integrated cross-sectoral approach.
Establish working relationships with stakeholders including other Government of Uzbekistan entities, such as the Committee for Veterinary and Livestock
Development, Samarkand State Veterinary College, and the Ministry of Emergency Response.
General:
In consultation with DoS, provide other services related to epidemiology and public health requested by the Director of CSEW.
REPORTING:
The Technical Advisor will report to and receive technical direction from the Director of CSEW and will work in close collaboration with DoS/Uzbekistan. The Advisor will operate from the MOH office in Tashkent. The Technical Advisor will provide a monthly summary of all activities undertaken on the last day of each month to DoS and meet with DoS/Uzbekistan on a quarterly basis to review activities and priorities.
Qualifications
Advanced degree in Epidemiology, Public Health, or a related field.
At least 5 years of experience in epidemiology and public health, preferably in a post-Soviet health system.
Proven experience in developing and implementing public health recommendations and strategies.
Fluency in Uzbek and/or Russian and proficiency in English.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Knowledge about JEE assessments, cross-sectoral health concepts, public health surveillance, animal health and agricultural systems, antimicrobial resistance, infectious disease outbreak investigations, and public health emergency response is desirable.
Knowledge about post-Soviet health systems and working with international donors is desirable.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: 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
As a Strategic Account Executive (Insurance) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading insurance carriers and reinsurers. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across property & casualty, life & health, and reinsurance organizations. You'll leverage deep insurance sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into underwriting, claims, actuarial, and policy administration workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for insurance decision-makers.
The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across insurance carriers and reinsurers, and running the strategies to win them. By driving deployment of Anthropic's emerging products into insurance enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across property & casualty, life & health, and reinsurance organizations, carrying and exceeding an individual revenue target
Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Chief Actuaries, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion
Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue
Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate insurance-specific needs — underwriting, claims, actuarial, policy administration — into product and roadmap input
Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion
Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events
Minimum qualifications
5+ years of enterprise sales experience in insurance, with demonstrated success covering carrier or reinsurance organizations
A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS)
Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within insurance
Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large insurance carriers or reinsurers
Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of insurance organizations
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience navigating long, multi-stakeholder enterprise cycles typical of insurance procurement
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:
$380,000
—
$450,000 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.
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.
London, UK
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