Location: Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Dubai, United Arab Emirates; London, United Kingdom; Lusail, Qatar
Eram Talent is a prominent Talent Acquisition Consultancy committed to connecting skilled professionals with leading organizations. We are currently looking for an Environment and Sustainability Project Manager to join our client's team in Saudi Arabia. In this role, you will oversee the planning, execution, and management of projects focused on environmental sustainability, ensuring compliance with regulations and advancing the sustainability goals of the organization.
Responsibilities
Manage and lead environmental and sustainability projects from conception to completion, ensuring adherence to budget, timeline, and quality standards.
Develop project plans, including objectives, scope, timelines, resources, and budget requirements.
Coordinate with stakeholders to ensure project alignment with environmental regulations and sustainability initiatives.
Lead author for EIA reports, environmental management plans, environmental audit reports;
Perform risk assessments and mitigation strategies to address potential environmental impacts.
Project management of EIA projects including coordination of inputs from subject matter experts, field survey personnel and sub-consultants
Professional membership or certification with recognised organisations (e.g., IEMA, CIEEM, CIWEM, IES, PMP Certificate) would be advantageous.
Preparation of proposals and variation orders for EIA, environmental surveys and environmental monitoring programs
Monitor project progress, preparing regular reports for stakeholders on status and performance metrics.
Facilitate workshops and presentations to educate internal and external stakeholders on sustainability best practices.
Stay updated on the latest environmental policies and sustainability trends to inform project strategy and execution.
Requirements
Bachelor's degree in Environmental Science, Sustainability, or a related field; a Master's degree is preferred.
Minimum of 8-10 years of experience in project management within the environmental or sustainability sectors.
Experience with environmental compliance, sustainability reporting, and project management methodologies.
Strong interpersonal and communication skills, with the ability to engage and influence stakeholders.
Proven leadership skills with the ability to manage multidisciplinary teams.
Certifications related to project management (e.g., PMP) and/or sustainability (e.g., LEED) are a plus.
Ability to work effectively in cross-cultural environments and manage projects in Saudi Arabia.
Proficiency in project management tools and sustainability metrics/reporting software.
Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Dubai, United Arab Emirates; London, United Kingdom; Lusail, Qatar
Location: Kuala Lumpur
Workplace: onsite
ABOUT YOU
We are looking for a Senior QA Engineer who is meticulous, technically sharp, and forward-thinking to join our engineering team. You thrive in fast-paced, agile environments and are passionate about ensuring quality at every stage of the development lifecycle. You are not only confident in manual testing but also eager to integrate AI driven testing tools and workflows to elevate productivity, test coverage, and defect detection.
You bring deep expertise in exploratory and structured testing, contribute to team best practices, and are proactive in monitoring production behavior and user experiences. You stay curious about emerging tools and technologies, especially AI, and know how to leverage them effectively without losing sight of the fundamentals.
If you’re excited to improve test processes, advocate for quality across teams, and drive innovation in QA through automation and AI, we’d love to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Own and lead manual testing of complex features across multiple environments
Drive exploratory and regression testing using structured documentation and product knowledge
Identify, log, and track reproducible issues with precision using bug tracking tools (e.g. Jira)
Analyze production logs and real-user behavior to proactively identify quality gaps
Create and maintain detailed test cases, checklists, and QA documentation
Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage
Evaluate and integrate AI-powered tools (e.g. test generation, log analysis, visual regression) into QA workflows
Set up and manage test environments, staging pipelines, and job configurations
Conduct load/stress testing and performance investigations
Act as a quality advocate across sprint planning, reviews, and release cycles
Mentor junior QA engineers and promote a culture of proactive quality ownership
Qualifications & Skills
Proven experience in software QA or testing roles, including ownership of end-to-end quality
Degree in Computer Science, Information Technology, or related field
Strong understanding of manual testing methodologies and defect life cycle
Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git)
Practical experience using Postman and similar tools for API validation
Hands-on experience with CI/CD pipelines and deployment readiness processes
Proficiency with browser developer tools and basic terminal/command-line usage
Strong verbal and written English communication skills
Familiarity with AI-powered testing tools (e.g., test case generation, smart test prioritization, AI log analysis)
Good to Have
Experience with Playwright, Cypress, or Selenium for automated test development
Understanding of backend technologies, APIs, and familiarity with PHP or related languages
Experience working in Linux environments and using Bash scripting
Hands-on with AI platforms (e.g., ChatGPT, Testim, Mabl, or AI-based bug triaging tools) in a QA context
BENEFITS:
Convenient work tools
Latest Mac workplaces + additional hardware to make you more effective at work
Google Chat, Gmail, Google Drive, Confluence, Jira, GitLab
Professional growth
Free trainings and participation in specialized conferences
Rich knowledge exchange within the company
More perks
Health insurance (Medical, dental and optical)- Employee and dependants
Flexible hours: organize your day according to your needs and sprint & teamwork demands
No dress code
Comfortable and new office environment
The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
For more vacancies: https://xsolla.com/careers
Location: Saint-Tropez, France; Cannes, France; London, United Kingdom; Dubai, United Arab Emirates; Courchevel, France
AHS is seeking a highly experienced Estate Manager with a strong background in 5-star hotel management to oversee the operations of luxury estates within our portfolio. This role demands a professional with exceptional organizational and leadership skills, capable of delivering the highest standards of service and maintenance expected in luxury hospitality environments. The successful candidate will ensure the smooth running of the estate, managing staff and vendors, and providing an unparalleled living experience for the residents.
Responsibilities
Oversee daily operations of the private residences in London and Dubai and the interior of the yacht (106m), ensuring impeccable standards of maintenance, cleanliness, and service
Manage, train, and supervise household and yacht interior staff, fostering a culture of excellence, discretion, and professionalism
Coordinate with external contractors, vendors, and service providers across both residences and the yacht to deliver high-quality, reliable service
Develop and manage budgets, procurement, and inventories efficiently across all properties and the yacht interior
Implement and maintain health, safety, and security protocols compliant with legal and industry standards, including relevant yacht interior SOPs
Leverage 5-star hotel management experience to elevate the day-to-day guest/resident experience and service delivery standards across the portfolio
Plan and execute private events and gatherings at the residences and/or aboard the yacht, ensuring flawless hospitality and logistics
Maintain absolute confidentiality and discretion in all interactions with the family, guests, and staff
Act as the primary point of contact for residence and yacht interior matters, coordinating closely with the Owner's Representative and other private asset stakeholders
Requirements
Minimum 5–8 years' experience in a similar Estate Manager / Household Manager / Private Assets Manager role, ideally with combined residence and yacht interior exposure
Proven track record working directly with UHNW/VIP families in a private household or superyacht environment
Experience managing multiple properties across different countries (UK and UAE experience strongly preferred)
Yacht interior management background (Chief Stewardess, Interior Manager, or similar) is highly desirable
Impeccable presentation, discretion, and references from previous principals
Strong staff management, budgeting, and vendor negotiation skills
Flexible and willing to travel between London, Dubai, and the yacht's location as required
Fluent English required; additional languages an advantage
Location: Auckland, New Zealand
About Intellect
At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia.
We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle.
Why Join Us?
Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect
Competitive compensation & attractive perks
Minimal admin burden — we handle scheduling, billing, client matching
Regular supervision & CPD included
Diverse client base — from local employees to regional/global Fortune 500 companies
Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership
Inclusive and diverse environment — we welcome professionals from all backgrounds and are committed to fostering belonging and representation across our global community
What You’ll Do
Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment)
Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed
Facilitate webinars and in-person seminars (optional)
Support employees with wellbeing, stress, and resilience
Collaborate with Intellect’s internal clinical team to improve EAP programs
Requirements
Counsellors:
Master’s in Counselling
Active membership/registration with NZAC.
Clinical Psychologists:
Master’s in Clinical Psychology from an APAC-accredited program
General registration with the NZ Psychologists Board (HPCA Act) to practice psychology
Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program)
Nice to Haves
Background in managerial or leadership support (e.g., coaching managers, HR advisory)
Prior EAP or workplace counselling experience
Additional languages
Flexibility for occasional onsite sessions
Let’s Talk
This is more than a job. It’s your chance to:
Work with a global provider network
Broaden your clientele base beyond local users
Grow your career outside of sessions through research, content, and webinars
Access supervision & CE most EAPs don’t provide
If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organizations. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across program delivery, fundraising, research, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the nonprofit landscape.
The ideal candidate will be an exceptional salesperson with a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products in the nonprofit sector, you will help organizations amplify their social impact while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic within nonprofit organizations. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to launch
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
Spearhead market expansion by pinpointing new customer segments and use cases within nonprofit program departments, development offices, research centers, and administrative functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge
Navigate complex stakeholder ecosystems including executive directors, board members, program officers, IT departments, and procurement committees to build consensus and secure strategic deals
Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
Build strategic relationships with nonprofit technology platforms, consultants, and sector influencers to expand market reach and create partnership opportunities
You may be a good fit if you have:
3+ years of experience prospecting and closing leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
Familiarity working within complex sales cycles, selling to technical and non-technical stakeholders, and securing strategic deals by understanding multifaceted requirements and crafting tailored solutions
Success as a strategic business advisor, deeply understanding customer needs and creating innovative solutions that align with their vision and help them succeed
Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player
Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
Interest in or passion for social impact and mission-driven work. You feel strongly about ensuring frontier AI systems are developed safely and ethically
Strong candidates may also have:
Experience selling to or working with nonprofit organizations, foundations, or government agencies
Understanding of nonprofit operations, including budget cycles, grant funding, and procurement processes
Familiarity with nonprofit technology ecosystems, including CRMs (Salesforce NPSP, Blackbaud), fundraising platforms, and program management tools
Active involvement in the nonprofit community through board service, volunteering, or prior employment
Experience navigating procurement frameworks with budget constraints and multiple approval layers
Track record of building strategic partnerships with foundations or corporate giving programs
Understanding of specific nonprofit verticals (healthcare, education, human services, environment, arts & culture)
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:
$290,000
—
$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: Lakin, United States
The
Chief Financial Officer
is responsible for all accounting, budgetary, and financial planning activities within the Hospital. This is a 25-bed critical access hospital, a Long-Term Care Unit, Assisted Living, and Rural Health Clinic. Alongside the leadership team, the CFO will be responsible for:
Living the Mission, Vision and Values: Being committed to providing quality, compassionate healthcare services for the community to enrich the lives of our family, friends, and neighbors through service with compassion, teamwork, respect, integrity, value, and excellence.
Leadership: Provides visionary leadership that inspires the highest levels of performance in the delivery of health care and business and operational administration.
Medical staff relations. Maintains effective and collaborative relationships with the medical staff that inspires and ensures the ability to meet the health needs of the community, advances quality, patient safety, and patient satisfaction.
Operational management. Maintains an organized system of management and controls that ensure smooth function of hospital operations, timely accomplishment of goals, financial, and human resource viability and success. Understands the balance between team engagement, patient satisfaction, quality outcomes, and organization stability and success (financial and growth).
Quality of care services. Ensures best practice, evidence-based approaches to consistently deliver exceptional, well-coordinated and integrated value-based care that delivers high level outcomes and patient satisfaction while providing personalized care for each patient.
Strategic planning. Develops, implements, and executes operational plans that ensure timely strategic goal achievements that both grow and sustain the organization through its mission, values, and vision.
Partnerships and negotiations. Develops strategic, collaborative partnerships and ensures skillful negotiations that help to position the organization for regional success.
Financial performance. Utilizes financial and analytical skills to lead, monitor and take actions that achieves KCH’s financial stability and long-term success.
Community relations. Fosters strong community relations and develops collaborative partnerships that advance the interests of the organization and contribute to the health and well-being of the communities served.
Board relations. Manages the functions of the hospital in accordance with the directions set by the board of trustees. Informs and advises the board of trustees on matters that influence and impact hospital performance.
Human resources. Provides leadership and ongoing communication that aligns and challenges the workforce, inspires, and promotes fulfillment of the hospital’s mission, vision and values.
Regulatory compliance. Ensures legal, regulatory, and accrediting compliance and represents the hospital in relationships with local, state, and federal governing agencies.
Works collaboratively with political, professional, and administrative bodies to ensure the hospital is proactive in its strategies, operations, and financials.
Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates; Umm Al Quwain, United Arab Emirates
Our client an award winning western restaurant group is looking for an experienced butcher to join their team and expansion project.
DUTIES & RESPONSIBILITIES:
Must be aware and ensure that he and his co – workers follow company hygiene procedures. The communications to the Executive Chef, Sous Chef and the Stock Controller must be in respectful, friendly and professional ways.
Responsible of Checking all Meat and Fish on delivery for quality and Quantity.
In charge of cleanliness of the Meat and Fish preparation rooms and proper storage of all Meat and Fish items in the Freezers and Fridges.
Close communication and contact with the Executive Chef with regard ordering and preparation is obligatory.
The guidelines and requests from the Chef and F&B Manager must be followed in the most efficient way.
All machines and equipment must be kept in good repair and must be handled with care at all times.
Report any maintenance requirements to the relevant personnel.
Be present during the sanitation inspections of your areas.
The Butcher must be fully aware of the company controlling and food preparation procedures e.g. portion control, as outlined in the F&B manual.
Daily contact and exchange of information with the Executive Chef or Sous Chef is obligatory.
Requirements
Must have worked at least for 3 Years as a Butcher in Hotels, Restaurants or on Cruise ships.
Must be able to prepare all meats and fish products specified in company standards.
Must have a Culinary Certificate from a recognized institution.
Must be able to deal with quality control, production control, meat and fish storing
Benefits
Basic Monthly Salary: AED 3000 to 3600 depending on experience + 375 Food allowance + 250 to 450 (Service charge Avg) + 600 Credit card tips + cash tips + free Accommodation + Transport + uniforms + Health insurance + air ticket ( once every two years) + Paid leave as per UAE laws
Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates; Umm Al Quwain, United Arab Emirates
Location: Yerevan, Armenia
Description
Digitain is looking for Data Protection Officer (DPO) to join its Legal Directorate.
In this role, you will play a key part in ensuring that Digitain’s data processing activities and privacy practices comply with the highest legal, regulatory, and ethical standards.
You will support the company in maintaining robust data protection measures across all jurisdictions where Digitain operates.
Responsibilities
Monitor, review, and advise on Digitain’s data protection policies, practices, and procedures
Provide guidance on compliance with data protection laws and regulations, including GDPR and other applicable legislation
Advise management and internal teams on data privacy risks, mitigation strategies, and recommended actions
Ensure proper handling of data subject requests, including access, correction, and deletion requests
Perform legal research and analysis on international, regional, and local data protection laws
Collaborate with internal departments to facilitate lawful cross-border data transfers
Maintain records, documentation, and reporting in line with internal policies and legal requirements
Undertake other tasks and projects as assigned to meet business objectives
Requirements
LL.B. or LL.M. degree in Law, or relevant legal qualification
Minimum 6-9 years of experience in data protection, privacy law, or related legal/compliance roles
Strong knowledge of GDPR, local data protection laws, and international privacy frameworks
Proven experience in data protection risk assessments, audits, and privacy compliance programs
Completion of recognized data privacy certifications or courses, such as:
Certified Information Privacy Professional (CIPP/E or CIPP/A)
Certified Information Privacy Manager (CIPM)
Other relevant GDPR or data privacy training programs
Fluency in written and spoken English and Russian
Excellent analytical, drafting, and problem-solving skills with strong attention to detail
Strong organizational and time-management abilities with the ability to handle multiple priorities
Excellent interpersonal and communication skills, with the ability to advise and collaborate across teams
Proactive, self-motivated, and capable of operating under pressure
Location: Almaty, Kazakhstan; Astana, Kazakhstan; Aktau, Kazakhstan; Karabatan, Kazakhstan
Eram Talent is looking for a skilled Project Management Engineer specializing in the Oil & Gas industry to join our team in Saudi Arabia. In this role, you will oversee and manage oil and gas projects from inception to completion, ensuring that all project phases align with company objectives, budgets, and timelines. You will be responsible for coordinating with various stakeholders, managing resources, and mitigating risks while maintaining the highest safety and quality standards.
If selected, the work location would be onsite at
Saudi Arabia.
Responsibilities
Lead project planning sessions and develop project scopes, schedules, budgets, and resource plans
Coordinate with engineering, procurement, and construction teams to ensure project deliverables are met
Monitor project progress and performance, providing regular updates to senior management and stakeholders
Identify potential risks and implement proactive mitigation strategies
Ensure compliance with industry regulations, safety standards, and quality controls
Maintain strong relationships with clients, contractors, and suppliers
Facilitate project meetings and document all key decisions and actions
Requirements
Bachelor's degree in Engineering or a related field
Minimum of 10 years of experience in project management within the Oil & Gas sector
Proven experience in managing large and complex projects
Strong understanding of project management methodologies and tools
Excellent leadership, communication, and interpersonal skills
Ability to work under pressure and in a fast-paced environment
Familiarity with relevant industry software and tools
Professional certifications such as PMP or equivalent are preferred
Location: Istanbul
Workplace: onsite
The international technology company Ajax Systems opens a full-cycle production facility in Türkiye.
Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast.
We invite Production Engineers to join the production management team and oversee all the production processes in line with the company’s quality standards and manage the production team. This position is a key strategic role in the company contributing to sustaining and growing business to achieve long-term success at Ajax.
Location: Istanbul, DESBAS(Tuzla)
Responsibilities
Ensures the implementation of the devices that are planned to be introduced on the line.
In case of violation or defect detection, s/he blocks the product lot or stops the line until the nonconformities are corrected.
Informs the management about detected nonconformities, violations and defects by using nonconformity protocols.
Monitors changes in route operational maps (MOC) and technological
instructions.Participates
in the technological control of drawings regarding material accuracy and size
selection.Organizes
experiments and tests of new materials and semi-finished products.
Participates in the improvement of input control and technological control of production and product quality.
Participates in studies on the definition and selection of optimal parameter control methods.
Participates in the standardization of control materials.
Ensures that the department works according to the requirements of the Quality Guidelines.
Participates in determining the priority targets of the department that can be measured in the field of
quality.Implements
and provides a process approach to the implementation of production activities while performing official
duties.Participates
in the analysis of the effectiveness of actions implemented in the field of process and product quality.
Develops their qualifications by participating in seminars and trainings,
Works in accordance with working and industrial discipline, internal working regulation rules and hygiene rules,
Complies with occupational health and safety instructions,
Fulfills the requirements, management decisions and instructions of the current legislation
Ajax Systems is a big team of professionals and open-minded people who share ambitious goals. Join in!
Location: Mohandeseen, Giza
Workplace: onsite
We are looking for a dedicated Call Center Agent to handle inbound and outbound customer interactions, resolve inquiries efficiently, and ensure a seamless customer journey.
What you will do:
Handle inbound and outbound customer calls professionally and efficiently.
Respond to customer inquiries regarding financing solutions, payment plans, and account details.
Provide accurate product and service information while maintaining high-quality standards.
Resolve customer complaints, requests, and escalations with empathy and efficiency.
Log all customer interactions accurately in the CRM system.
Follow up on pending cases to ensure timely resolution.
Collaborate closely with team leaders to improve call quality and enhance the customer experience.
Promote Klivvr's financing services and guide customers through the application process.
Ensure compliance with company policies, data privacy regulations, and Central Bank of Egypt requirements.
Strive to meet and exceed individual and team KPIs, including call handling time, customer satisfaction, and resolution rates.
To succeed in the role, you’ll need to have:
Bachelor’s degree in Business Administration, Commerce, or a related field.
0–2 years of experience in customer service, preferably in financial services, banking, or telecom.
Strong problem-solving skills and the ability to handle customer concerns effectively.
Active listening and conflict-resolution skills.
Excellent communication and interpersonal skills in both Arabic and English.
Basic computer proficiency, including Microsoft Office and CRM tools.
Location: Germany
About the Client
Our client is a fast-growing SaaS company simplifying and digitizing the CFO’s office. They partner with thousands of corporates and SMEs globally and have consistently achieved strong double-digit growth over the past three years. The business is now scaling internationally, with recent expansion into the Middle East, Southeast Asia, and Europe, and they are looking for builders who can support this global vision.
Our Client’s Vision for Europe:
Our client is expanding in the European market very aggressively, with >$3 Mn investment being parked and approved for the European market to sustain the early years.
Our client aspires to build north of 20 Mn USD revenue in the next 2-3 years across Europe. The plan in Europe is to land with E-invoicing product (which is a global trend) in Belgium and then expand to other countries, with France, Poland, Germany and Spain being countries of immediate focus.
About the Role:
As one of the first SDR hires in the European expansion, you’ll play a foundational role in driving revenue growth in the German market. This is a high-impact opportunity to build a strong sales pipeline from the ground up and shape our go-to-market strategy. In this role, you won’t just rely on inbound leads—you’ll be at the forefront of outbound prospecting, engaging decision-makers, and creating opportunities with top enterprises across Europe. As an early team member, you’ll have the chance to work closely with sales leadership, gain deep exposure to enterprise SaaS selling, and fast-track your career growth. If you’re looking for an exciting challenge, a meritocratic culture, and the chance to be part of a high-growth European GTM journey from day one—this is where you need to be.
Responsibilities (What you'll be expected to do):
Generate qualified opportunities for the company by rigorously prospecting and researching (outbound) in German Markets
Do rigorous research on companies, and build an effective sales pipeline by effective prospecting and lead follow ups
Strike and initiate conversations with our personas:
CFOs, CIOs, Finance head, Tax Head, IT Heads
Come up with creative/personalized emails and campaigns on Emails/LinkedIn/Calling etc to draw the attention of prospects
Be the face of the company and pitch our products to the prospects
Constantly update details of lead, your discussion and activity in
CRM
Generate leads and build relationships by nurturing warm prospects and finding new potential sales opportunities
Schedule and coordinate meetings between qualified leads and sales representatives
Refine outreach strategies, and learn about the solution to be more effective
Requirements
Language Proficiency:
Native/Bilingual German
and Professional Level English
1-2 years of minimum experience in doing
Outbound Cold Calling
for German Markets
Experience in working with IT/Software Organizations or selling software's
Hustle attitude, with curiosity to learn new things is a must
Strong verbal and written communication skills
Working knowledge of Salesforce (Or any other CRM) is good to have
Benefits
What's In It For You:
Remote Opportunity
Lucrative Compensation & Competitive Perks
Be a part of a
0-1 Journey as a Founding SDR
Opportunity to evolve yourself as one of the Business Leaders
Location: Dhahran, Saudi Arabia; Mumbai, India
Eram Talent is seeking a highly skilled Mechanical Engineer specializing in Utilities Maintenance to join our team in Saudi Arabia. This position is ideal for professionals with a background in petrochemical operations who are looking to leverage their expertise in a challenging and rewarding environment. In this role, you will be responsible for ensuring the reliability and efficiency of utilities systems within the petrochemical sector, thereby contributing to the overall success of the organization.
Responsibilities
Oversee the maintenance and operation of utilities equipment including steam generation, water treatment, air compressors, cooling towers, and other related systems.
Conduct regular inspections and troubleshooting of equipment to ensure optimal performance and compliance with industry standards.
Implement preventive and corrective maintenance programs to minimize downtime and extend the life of utilities equipment.
Collaborate with cross-functional teams to identify areas for improvement and implement solutions to enhance operational efficiency.
Maintain accurate documentation of maintenance activities, including work orders, inspection reports, and incident reports.
Participate in risk assessments and safety audits related to utilities operations.
Keep abreast of advancements in utilities technology and apply best practices in maintenance and operations.
Requirements
Bachelor's degree in Mechanical Engineering or a related field.
Minimum of 10 years of experience in utilities maintenance within the petrochemical industry.
Strong knowledge of steam generation, water treatment, air and gas compressors, and cooling systems.
Expertise in troubleshooting mechanical failures and implementing effective solutions.
Strong analytical skills with the ability to assess complex systems and operations.
Excellent communication skills and ability to work well in a team-oriented environment.
Familiarity with relevant industry safety and environmental regulations.
Proficiency in using maintenance management software and tools.
Location: San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
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 are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.
Responsibilities:
Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack
Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities
Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents
Review Incident Response metrics and procedures and drive continuous improvement
Work cross functionally with other security and engineering teams
Note: This position will require participation in an on-call rotation
You may be a good fit if you:
3+ years of software engineering experience, with security experience a plus and/or
5+ years of detection engineering, incident response, or threat hunting experience
A solid understanding of cloud environments and operations
Experience working with engineering teams in a SaaS environment
Exceptional communication and collaboration skills
An ability to lead projects with little guidance
The ability to pick up new languages and technologies quickly
Experience handling security incidents and investigating anomalies as part of a team
Knowledge of EDR, SIEM, SOAR, or related security tools
Strong candidates may also have experience with:
Experience performing security operations or investigations involving large-scale Kubernetes environments
A high level of proficiency in Python and query languages such as SQL
Experience analyzing attack behavior and prototyping high quality detections
Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
Experience contributing to a high growth startup environment
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:
$300,000
—
$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: Dhahran, Saudi Arabia; Mumbai, India; Delhi, India
Eram Talent is actively seeking a knowledgeable and experienced Project Engineer (EPC) to join our team for a prominent company within the Engineering, Procurement, and Construction (EPC) sector. The ideal candidate will be responsible for managing and overseeing projects through all phases of the EPC process. This role will involve ensuring that projects are delivered on time, within budget, and in compliance with quality and safety standards.
As part of ERAM Group, E-Talent is an independent Talent Acquisition Consultancy committed to connecting top-tier professionals with outstanding opportunities across various domains including Engineering, Oil & Gas, Infrastructure, and Construction. This is an exciting opportunity for an ambitious engineer to drive impactful projects within a dynamic environment.
Responsibilities
1. Technology and Engineering Management
1.1 Assist the Project Manager in reviewing project basic engineering design documents, ensuring full compliance with Saudi Aramco design standards (e.g., SAES, SAMSS, SABP) and project specifications.
1.2 Coordinate design work across various disciplines (Process, Piping, Mechanical, Electrical, Instrumentation, Civil, etc.), chair or participate in key technical coordination meetings, and resolve interface conflicts and technical challenges during the design phase.
1.3 Manage the flow, approval, and archiving of project technical documents, ensuring the accuracy and completeness of all engineering deliverables.
1.4 Lead or participate in the technical evaluation of Technical Queries (TQs), Material Substitution Requests (SRM), and Change Requests (CRs), and follow up on the Saudi Aramco approval process.
2. Procurement and Supplier Coordination
2.1 Provide technical support to assist in the preparation of procurement technical specifications for key equipment and materials.
2.2 Participate in the technical bid evaluation of key suppliers.
2.3 Review technical documents submitted by suppliers (such as drawings, data sheets, calculation reports, ITP), ensuring they meet project requirements.
2.4 Coordinate the resolution of any technical issues arising during equipment manufacturing.
3. Construction and Pre-Commissioning Support
3.1 Provide comprehensive technical support to field construction, resolving technical challenges encountered during construction.
3.2 Review the technical feasibility of Construction Method Statements.
3.3 Manage engineering changes within the project scope, assess the impact of changes on cost, schedule, and technology, and strictly adhere to the change management process.
3.4 Participate in onsite system Mechanical Completion checks, ensuring installation work conforms to design intent and specifications.
3.5 Support pre-commissioning and commissioning activities by providing necessary technical documents and guidance.
4. Planning, Scheduling, and Reporting
4.1 Assist the Project Manager in developing and controlling the project's engineering schedule.
4.2 Prepare and submit weekly/monthly engineering technical progress reports to the Project Manager and the client (Saudi Aramco).
4.3 Identify and assess project technical risks and propose mitigation measures.
5. Compliance and Standards
5.1 Ensure all engineering activities strictly comply with Saudi Aramco's Health, Safety, and Environment (HSE) policies and procedures.
5.2 Ensure the entire project process conforms to Saudi Aramco's Quality Management System requirements.
6. Communication and Coordination
6.1 Act as one of the primary points of contact for daily technical communication with the client's (Saudi Aramco) engineers.
6.2 Effectively coordinate work between the internal design team, procurement team, construction team, and subcontractors.
Requirements
1. Education and Professional Qualifications
Bachelor's degree or higher, majoring in Petroleum Engineering, Chemical Engineering, Mechanical Engineering, or a related engineering field.
Possession of PMP (Project Management Professional), Chartered Engineer, or equivalent certification is preferred.
2. Work Experience
2.1 Minimum 8-10 years of project engineering experience in the oil, gas, or petrochemical industry, including at least 5 years in a Project Engineer or similar technical coordination role on large-scale Saudi Aramco petrochemical EPC projects.
In-depth understanding and practical experience with Saudi Aramco standards, processes, and culture are required.
2.2 Project experience in oil-gas separation, production enhancement, gathering and distribution stations, or similar upstream/midstream facilities is preferred.
3. Knowledge and Skills
3.1 Proficiency in at least one core engineering discipline (e.g., Process, Piping, or Mechanical) and familiarity with the fundamentals of other related disciplines.
3.2 Thorough understanding of the project lifecycle, from conceptual design to mechanical completion and commissioning.
3.3 Familiarity with international engineering standards (e.g., ASME, API, ANSI, IEC) and Saudi Aramco-specific standards.
3.4 Proficient in MS Office (especially Word, Excel, PowerPoint).
3.5 Proficient in project management software (e.g., Primavera P6 or MS Project).
3.6 Familiarity with common engineering design software and document management systems (e.g., SPF, Aconex).
3.7 Fluent in both English and Arabic, with both languages serving as working languages.
4. Core Competencies and Personal Attributes
4.1 Ability to communicate clearly and effectively with technical experts, management, and clients.
4.2 Ability to analyze complex problems under pressure and propose practical solutions.
4.3 Ability to lead cross-functional teams in resolving technical issues, even in the absence of direct reporting lines.
4.4 Capable of managing multiple tasks and large volumes of technical information simultaneously.
4.5 Adaptability to fast-paced, high-demand project environments, and ability to navigate cultural differences and work challenges.
4.6 Strong sense of responsibility and commitment to achieving project goals.
Benefits
Job Location: Ningbo, China & Saudi Haradh
Contract Period: 1 to 3 years depending on the project and performance.
Visa: Business visa will be provided by the Client.
Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.
This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.
We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.
No ML or Research experience is required
Responsibilities
Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
Create reusable platforms and tools that accelerate the development of new research applications
Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
Contribute to technical strategy and architectural decisions for research tooling
Mentor other engineers and help establish best practices for research application development
You may be a good fit if you
Have 5+ years of software engineering experience with a strong focus on full-stack development
Excel at rapid iteration and shipping—you can move from concept to working prototype quickly
Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
Demonstrate high agency and ability to operate independently in ambiguous environments
Can quickly develop deep understanding of complex technical domains
Have strong product instincts and can identify the right problems to solve
Are proficient with modern web technologies (React, TypeScript, Python, etc.)
Have a track record of building user-facing applications that are actually used and loved by their target audience
Communicate effectively with both technical and non-technical stakeholders
Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have
Experience building research tools, scientific software, or experimentation platforms
Background in machine learning, AI research, or working closely with ML researchers
Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
Built open-source tools or platforms with active user communities
Experience with data visualization, interactive interfaces, or novel interaction paradigms
Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
Experience leveraging AI/LLMs to build more powerful or efficient tools
Previous work in creative tools, artist tools, or other domains requiring deep user empathy
Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment
Representative projects
Building interfaces for collecting and managing human feedback on model outputs at scale
Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
Developing visualization tools that help researchers understand model behavior and identify failure modes
Designing reusable components and frameworks that enable rapid development of new research applications
Building sandboxed execution environments for safely running AI-generated code
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:
$300,000
—
$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: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts.
People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer".
A few places to learn more about our work and team at a high level are
this introduction to Interpretability
from our research lead,
Chris Olah
; a
discussion of our work
on the
Hard Fork podcast
produced by the New York Times, and this
blog post
(and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include
A Mathematical Framework for Transformer Circuits
,
In-context Learning and Induction Heads
,
Toy Models of Superposition
,
Scaling Monosemanticity
, and our Circuits’
Methods
and
Biology
papers. This work builds on ideas from members' work prior to Anthropic such as the
original circuits thread
,
Multimodal Neurons
,
Activation Atlases
, and
Building Blocks
.
We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our
vision post
). In the short term, we have focused on resolving the issue of "superposition" (see
Toy Models of Superposition
,
Superposition, Memorization, and Double Descent
, and our
May 2023 update
), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent
work
found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.
We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an
Interpretability Architectures project
that involves collaborating with Pretraining.
Responsibilities:
Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
Design and run robust experiments, both quickly in toy scenarios and at scale in large models
Create and analyze new interpretability features and circuits to better understand how models work.
Build infrastructure for running experiments and visualizing results
Work with colleagues to communicate results internally and publicly
You may be a good fit if you:
Have a strong track record of scientific research (in any field), and have done
some
work on Interpretability
Enjoy team science – working collaboratively to make big discoveries
Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away
You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results
You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null
To learn more about the skills we look for and how to prepare for this role, see our blog post –
So You Want to Work in Mechanistic Interpretability?
Familiarity with Python is required for this role.
Role Specific Location Policy:
This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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:
$350,000
—
$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: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of
Research Engineers
and
Research Scientists
. If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply.
About the Interpretability team
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe.
People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer".
We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our
vision post
). We have focused on resolving the issue of "superposition" (see
Toy Models of Superposition
,
Superposition, Memorization, and Double Descent
, and our
May 2023 update
), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent
work
which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our
most recent work
, we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.
A few places to learn more about our work and team are this
introduction to Interpretability
from our research lead,
Chris Olah, Stanford CS25 lecture given by Josh Batson, and
TWIML AI podcast
with Emmanuel Ameisen.
Some of our team's notable publications include and our Circuits’
Methods
and
Biology
papers,
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
,
Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
,
A Mathematical Framework for Transformer Circuits
,
In-context Learning and Induction Heads
, and
Toy Models of Superposition
. This work builds on ideas from members' work prior to Anthropic such as the
original circuits thread
,
Multimodal Neurons
,
Activation Atlases
, and
Building Blocks
.
About the role
As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally.
Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline.
If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our
Research Scientist
or
Research Engineer
roles instead.
Key responsibilities
Partner with a research lead on direction, project planning and execution, hiring, and people development
Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively
Coach and support team members to have more impact and develop in their careers
Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing
Help identify and support opportunities for collaboration with other teams across Anthropic
Communicate team updates and results to other teams and leadership
Maintain a deep understanding of the team's technical work and its implications for AI safety
You may be a good fit if you
Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams
Have a background in machine learning, AI, or a related technical field
Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles
Have strong project management skills, including prioritization and cross-functional coordination and collaboration
Have managed technical teams through periods of ambiguity and change
Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research
Are a strong communicator both in speaking and in writing
Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well
Strong candidates may also have
Experience scaling engineering infrastructure
Experience working on open-ended, exploratory research agendas aimed at foundational insights
Some familiarity with our work and mechanistic interpretability
Role-Specific Location Policy
This role is expected to be in our SF office for 3 days a week.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
ОфисseniorKuala Lumpur
Saint-Tropez, France; Cannes, France; London, United Kingdom; Dubai, United Arab Emirates; Courchevel, France
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