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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
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.
Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs.
More resources to learn about our work:
Our research blog
- covering advances including
Monosemantic Features
and
Circuits
An Introduction to Interpretability
from our research lead,
Chris Olah
The Urgency of Interpretability
from CEO Dario Amodei
Engineering Challenges Scaling Interpretability
- directly relevant to this role
60 Minutes
segment - Around 8:07, see a demo of tooling our team built
New Yorker
article - what it's like to work on one of AI's hardest open problems
Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model:
Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips
Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector"
Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission
The science keeps scaling - and it's now applied directly in
safety audits
on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI.
Responsibilities:
Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application
Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams
Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers
Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations
Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling
You may be a good fit if you:
Have 5-10+ years of experience building software
Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python
Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks
Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions
Prefer fast-moving collaborative projects to extensive solo efforts
Are curious about interpretability research and its role in AI safety (though no research experience is required!)
Care about the societal impacts and ethics of your work
Are comfortable working closely with researchers, translating research needs into engineering solutions.
Strong candidates may also have experience with:
Optimizing the performance of large-scale distributed systems
Language modeling fundamentals with transformers
High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization
Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs
Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges
Representative Projects:
Building
Garcon
, a tool that allows researchers to easily instrument LLMs to extract internal activations
Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them
Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization
Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to
Golden Gate Claude
but for safety research)
Role Specific Location Policy:
This role is based in the 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:
$315,000
—
$560,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dhahran, Saudi Arabia
Eram Talent is on the lookout for a highly skilled Analyzer Technician Specialist to join an esteemed organization in Saudi Arabia. As a leader in Talent Acquisition, Eram Talent is dedicated to connecting top-tier professionals in the Oil & Energy sector with outstanding career opportunities. The Analyzer Technician Specialist will be pivotal in maintaining and optimizing analytical instrumentation within various industrial processes.
The successful candidate will be responsible for the installation, calibration, troubleshooting, and maintenance of advanced analyzers, including but not limited to gas chromatographs, total sulfur analyzers, and moisture analyzers. This role demands a high level of technical expertise and the ability to mentor and guide junior technicians.
Responsibilities
Install, maintain, and calibrate a variety of analytical instruments to ensure accurate and reliable operation.
Conduct preventive maintenance and troubleshoot analyzer issues to minimize downtime and ensure optimal performance.
Develop and implement maintenance schedules based on manufacturers' specifications and best practices.
Interpret technical documentation, including data sheets, vendor manuals, and schematic diagrams.
Actively participate in safety audits and ensure compliance with safety regulations and standards.
Provide technical support and training to junior technicians and operations staff.
Maintain detailed records of maintenance activities and performance metrics for analyzers.
Work collaboratively with engineering, operations, and quality assurance teams to resolve technical issues and improve analyzer performance.
Stay updated on the latest technologies and advancements in analytical instrumentation.
Requirements
Associate degree or technical diploma in Instrumentation, Chemical Engineering, or a related field.
A minimum of 5 years of experience as an Analyzer Technician in the Oil & Energy industry.
Extensive knowledge of analytical instruments such as gas chromatographs, moisture analyzers, and spectroscopy equipment.
Proficient or knowledge in the below :
ABB gas chromatographPGC5000A .
AMETEK ( IPS4 , 888,920 & 931).
MERCURY PSA NATURAL GAS ONLINE Hg .
MOISTURE (OPTEK ; C4221 CONVERTER / TF16-EX-HT-N ) (MICHELL ; QMA601 / QMA601-SYS-I , EA-XP-TX / ES70G-I &EASI DEW RPO XP ) (GE PANAMETRICSMOISTURE IQ )
ICON HC CONDENSATE .
HACH ; B3500C (TOTAL ORGANIC CARBON).
OXYGEN (SERVOMEX ; SERVOTOUGH OXY1900 ) (SERVOMEX ;LASER3 PLUS 7930 )
DURAG ; D-R 290 & LASERCEM , D-R 290 & D-FL 100.
HOBRE ; WINCOMPASS XPRES
CHLORINE ; ABB AW40
Advanced Sensor ; X-One-DP
OPTEK ;C4221 CONVERTER / TF16-EX-HT-N
BARTEC ORB ; P-700-1600
ANALYTICAL SYS. KECO ; 205HV
SERVOMEX ; SPECTRAEXACT2500 (CEMS - CO2
Location: Los Angeles, USA; Sydney, Australia
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value. As a Staff Software Engineer, you’ll drive important features and provide other engineers with a clear illustration of extraordinary engineering.
As a
Staff Software Engineer, Console
on an unpublished R&D product, you will lead the way on console development for one of Riot’s most exciting new games. You will work closely with other experts in engineering, QA, art and design to ensure the game is meeting the team’s creative and quality marks on multiple platforms. In this role you will be hands-on in developing and debugging core features of the game, integrating console-specific systems, delivering the gamepad experience, and addressing certification requirements. You will work with state-of-the-art technology, and explore new solutions to surprise and delight our players as we bring this new game to life. You will report to the Senior Engineering Manager of the Tech Foundations team within an R&D game project.
Responsibilities:
Work closely with QA, engineers, designers and artists to understand and address the technical, creative and artistic requirements of the game on console
Investigate, understand and solve complex technical problems specific to console
Profile and optimize performance and memory usage on console platforms
Integrate first party features for each console platform into the game
Drive the implementation of technical certification requirements on each platform
Participate in the planning and execution of engineering work for console including requirements gathering, technical discovery, work breakdown and estimation
Drive exceptional quality by adhering to and evolving the team’s practices of engineering excellence, including code maintainability, quality, monitoring, code reviews, and documentation
Provide mentorship to new engineers as the team scales, and provide feedback that supports their technical growth
Required Qualifications:
8+ years of professional experience in software engineering, including experience delivering live or shipped products at scale
3+ years experience working on console-specific game development
Experience shipping one or more console platform titles
Experience in performance profiling and optimization on console
Experience implementing TCRs/TRCs for one or more console platforms
Proven ability to navigate ambiguity and solve complex problems with minimal support
Experience collaborating with teammates across multiple disciplines
Strong communication skills across technical and non-technical audiences
B.S. in computer science or equivalent experience
Desired Qualifications:
Experience building multiplayer games
Experience implementing or porting UI on console platforms
Experience implementing the gamepad experience for one or more console games
Experience with input handling (Common UI, Enhanced Input)
Experience in graphics/rendering
For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Annapolis, MD
The Patient Access Associate (PAA) is a hospital-based, non-clinical healthcare professional who serves as the first point of contact for patients. In this pivotal role, the PAR ensures a positive patient experience during the registration and admission processes by accurately collecting essential demographic and financial information.
1.
Patient Identification and Documentation:
·
Greet patients and visitors courteously and professionally.
·
Accurately identify patients in the Master Patient Index to reduce erroneous duplicate medical records, maintaining a 98% accuracy rate in medical record creation.
·
Update demographics per legal identification.
·
Verify the information on armbands before placing them on patients.
·
Explain all required documents verbally, obtain signatures appropriately, and document any inability to obtain signatures correctly, including immediate scanning into EMR, per process.
·
Process all ‘unable to sign’ consents per process, including following legal algorithms to research and communicate with patient contacts to obtain appropriate surrogate; escalate to next steps (Care Management) when unable to find surrogate.
2.
Patient Registration and Insurance Verification:
·
Conduct face-to-face interviews to accurately obtain and process patient demographic and financial information, maintaining a minimum accuracy rate of 97% for error-free registrations.
·
Process and act on Real-Time Eligibility (RTE) messages, including adding, terminating, and correcting coverages.
·
Identify all true self-pay patients accurately and forward to Medicaid eligibility and application staff, ensuring only true self-pay patients are screened.
·
Scan all required documents into patient records and place HAR notes on accounts when necessary.
·
Identify and resolve insurance verification issues, informing patients of available options, including financial assistance.
3.
Regulatory Compliance and Customer Service:
·
Ensure all patients receive necessary regulatory information and enter appropriate documentation in the EMR (e.g., HIPAA, Patient Rights Brochure, IMM, NOOS, ABN, etc.).
·
Explain hospital policies, procedures, and financial responsibilities to patients and their families, providing excellent customer service.
4. Appointment Scheduling:
·
Schedule appointments, surgeries, and other medical procedures according to patient and provider preferences.
·
Verify insurance coverage and obtain pre-authorizations as needed.
5. Financial Communication:
·
Communicate financial responsibilities to patients and collect funds in accordance with established protocols.
·
Make referrals to Charity Care and Medical Assistance when needed.
6. Workflow Management:
·
Answer and direct incoming and external calls promptly.
·
Independently prioritize work, including work queue management, patient registrations, insurance verification, and other assigned tasks to meet performance and productivity standards within department deadlines.
·
Identify and correct errors in accounts using appropriate tools (e.g., NextBar, OneSource).
7. Meeting and Training Participation:
·
Attend departmental staff meetings or watch videos when absent.
·
Attend all required in-person training/in-services and complete all educational assignments within the required timeframe.
·
Read and respond to emails during each shift.
8. Adherence to Policies:
·
Adhere to hospital policies and procedures, including timely arrival, minimal absences, appropriate attire, readiness for work, and minimal personal electronic usage.
·
Adhere to the RISE values. Contribute to a positive work environment that promotes teamwork, collaboration, professionalism, and continuous improvement.
9. Additional Responsibilities:
·
Perform other duties as assigned by the Director, Manager, or Supervisor.
Experience/Education/Certification Requirements:
High school diploma or equivalent.
0–11 months of
direct
Patient Access or healthcare registration experience.
Strong verbal and written communication skills to interact with patients, families, and clinical teams.
Demonstrated ability to work both independently and collaboratively in a high-paced healthcare environment.
Excellent attention to detail and accuracy in data entry and documentation.
Compassionate, patient-centered approach to service delivery.
Must obtain Certified Patient Access Specialist (CPAS) certification within 8 months of hire.
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Physical Demands – Light Work – Exerting up to 20 pounds of force occasionally and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects.
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary.
Pay Range
$17.50
—
$24 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: Delhi, India; Bangalore, India; Ahmedabad, India; Pondicherry, India; Cebu City, Philippines; Davao City, Philippines; Makati, Philippines; Iloilo City, Philippines; Manila, Philippines; Taguig, Philippines; Quezon City, Philippines
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
MicroStrategy / Power BI Developer
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.
Job Summary:
We are looking for an experienced MicroStrategy / Power BI Developer and Administrator with 6–8 years of expertise in business intelligence, data visualization, and platform administration. The ideal candidate will combine strong technical proficiency with solid business acumen and design sensibility to deliver high-quality analytics solutions and ensure the smooth operation of BI platforms.
Key Responsibilities:
• Development & Reporting:
o Design, develop, and maintain interactive dashboards and reports using MicroStrategy and Power BI.
o Create optimized data models and implement advanced DAX expressions for accurate and efficient analytics.
o Collaborate with business users to understand requirements and provide actionable insights aligned with accounting and IFRS reporting standards.
o Ensure visual consistency and clarity through effective data visualization design.
• MicroStrategy Administration:
o Manage MicroStrategy environment including user management, security roles, project setup, and access controls.
o Handle metadata maintenance, server configuration, scheduling, and report distribution.
o Monitor system performance, perform upgrades, patch installations, and troubleshoot server or application issues.
o Coordinate with IT and database teams to ensure platform stability and data integrity.
o Maintain documentation for configurations, processes, and system changes.
• Advisory & Stakeholder Engagement:
o Act as an analytical advisor, guiding business stakeholders with insights and recommendations.
o Communicate effectively with both technical and non-technical audiences.
o Demonstrate a proactive, self-starting attitude in driving BI initiatives forward.
Required Skills & Qualifications:
• Experience: 6–8 years in BI development and administration, with strong experience in MicroStrategy and Power BI.
• Technical Expertise:
o Advanced knowledge of MicroStrategy architecture, administration, and security management.
o Strong proficiency in Power BI, DAX, and data modelling.
o Familiarity with SQL, ETL processes, and data warehousing concepts.
• Business Knowledge: Strong understanding of Supply Chain and Finance.
• Soft Skills: Excellent communication, problem-solving, and stakeholder management skills.
• Design Sense: A keen eye for layout, design, and data visualization aesthetics.
Location: Prague, Czechia
D-ploy is an
IT
and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA.
We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the
IT
community, we optimize our customer’s
IT
productivity and contribute to the organization’s success and value.
We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where
IT
counts, join us!
Our ambition is to catalyse innovation capability by supporting priority teams to develop truly customer-centred products and services. We are developing an end-to end approach that provides design, design thinking, agile and lean approaches to product development.
We are looking for a Talent Acquisition Coordinator (Spanish & Italian Speaking) to support our key projects designing innovation tools, training and experiences.
! This role lasts initially until the end of May 2026 with expected extension, where only a full-time cooperation is available as form of cooperation.
Key Responsibilities
Create and manage offer letters in local languages
Initiate and monitor employment checks including drug and medical screenings, ensuring timely completion and escalation of discrepancies
Complete and maintain all relevant documentation related to background checks or offer rescinds
Handle sensitive candidate data in compliance with internal policies and confidentiality standards
Coordinate communication between Talent Acquisition Business Partners, Hiring Managers, and candidates to ensure smooth pre-boarding processes
Support administrative activities and contribute to the overall efficiency and compliance of the Global TA Coordination team
Maintain accurate records and ensure alignment with company standards and timelines
Requirements
Minimum 1 year of coordination or administrative experience in Human Resources or Talent Acquisition
Experience in pre-boarding processes such as contract generation, global mobility, or visa coordination is an advantage
Familiarity with HR systems such as Workday preferred
Strong attention to detail and accuracy in documentation and reporting
Excellent organizational, problem-solving, and communication skills
Proficiency in Microsoft Office, with advanced Excel skills preferred
Ability to work effectively in a fast-paced, evolving, and remote environment
Proven ability to manage multiple stakeholders and adapt to change
University degree strongly preferred
Fluency in English, Italian, and Spanish
Candidates must declare Criminal record extract not older than three months
Benefits
Broad range of activities, tasks, and projects
Flexible working conditions
Minimum 5 weeks of vacation
Paid sick days
Meal vouchers
Vouchers (B-day voucher, wedding, and new born surprise)
Contributions to wellness programs (multisport card)
Fishing for Friends program – our referral program
Refreshments in the D-ploy office
Further development and professional advancement
Friendly and international working environment
Company-sponsored events
Competitive salary and various benefits
Is
IT
in your DNA?
If you believe you are a good match for this role, or any other opportunities for which D-ploy is currently staffing, then we are very keen to speak with you. You can apply though a variety of channels, including our website
www.d-ploy.ch
or by reaching our directly to our recruitment team recruiting@d-ploy.ch.
Location: In-Office
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Position Location: Austin, TX | Lisbon, Portugal
About the Role
Join the Workers Deploy & Config team, the engine behind Cloudflare’s serverless edge developer platform. You’ll build the large-scale systems that let developers deploy, configure, and manage Workers globally, from simple static sites to full-stack applications serving millions of users. This team powers the foundation behind much of Cloudflare’s developer platform, including services like Pages and R2. The work combines distributed systems, high-traffic APIs, performance, reliability, and developer experience.
Responsibilities
Design, build, and ship features and services within the Workers control plane.
Improve the platform’s performance, availability, and scalability.
Design resilient storage schemas and I/O patterns for long-term platform growth.
Contribute to architecture and design discussions for foundational capabilities.
Own production reliability, including participation in on-call rotation.
Partner with Product Managers and customers to translate complex problems into scalable solutions.
Drive projects independently from requirements and specs through implementation, testing, and release.
Share knowledge and mentor interns and junior engineers.
Research, prototype, and introduce new technologies when they solve meaningful problems.
Desirable Skills, Knowledge & Experience
Strong experience using Go in production environments.
Experience with JavaScript and TypeScript.
Experience with metrics and observability tools such as Prometheus and Grafana.
Experience with SQL and relational databases such as PostgreSQL.
Experience with Kubernetes or similar deployment tools.
Knowledge of or experience with distributed systems.
Proven ability to drive scoped projects from concept to release.
Familiarity with implementing and consuming RESTful APIs.
Proficiency using AI coding assistants and agents with good judgment to review and verify generated code before shipping.
Bonus Points
Experience scaling systems to meet increasing performance and usability demands.
Experience working on a control plane or data plane.
Experience using Cloudflare Workers or Pages.
Product mindset and comfort talking to customers and partners.
Familiarity with GraphQL.
Familiarity with RPC.
Compensation
Compensation may be adjusted depending on work location.
● For Portugal based hires: Estimated annual salary is between €54,000 - €75,000.
The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a
Research Engineer
, you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility. We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.
How you will make an impact:
Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets.
Design trading strategy simulation software optimized for distributed computation
Develop software for large scale data acquisition, storage, accessibility, and visualization
Create user interfaces for data exploration and post trade analysis
Accelerate the research lifecycle from strategy prototype to production deployment
Evaluate new technology and improve our technology stack
What you bring to the team:
Bachelor’s degree in Computer Science, Computer Engineering, or related field
Excellent software development skills in modern C++ and Python
A strong understanding of object oriented design, data structures and algorithms
A strong understanding of quantitative finance mathematics
A solid foundation in programming with the ability to think, communicate, and code clearly
A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network)
Skills in multi‐threaded applications
An understanding of how to build software for long term use and broad adoption
Demonstrated ability to produce algorithmic code in a fast-paced environment
The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-BL1
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re building Fin's Scaled Customer Success team to reach more customers, provide consistent high-impact outcomes, and lean even harder into what makes us unique: our AI-powered products (especially Fin) and deep domain expertise. As a Scaled Customer Success Manager, you’ll be the customer’s trusted guide—helping them adopt and embed Fin's suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably.
If you’re excited by working at the intersection of AI, product adoption, and operational excellence—and you want to help define how scaled CS works in practice—this is your role.
What will I be doing?
Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support.
Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments—leveraging technology, automation, digital content, and smart touchpoints.
Own implementation and onboarding conversations for your customers, ensuring they are being set up for success from Day 1.
Monitor usage & health signals proactively—identifying risks, opportunities, and expansion paths; drive intervention where needed.
Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion.
Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training.
Help define what “Scaled CS” means here: you’ll be a builder—defining processes, tools, metrics, and models for what high volume, high value looks like.
What skills do I need?
3-5 years of experience in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement.
Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them.
Comfortable discussing technical topics such as APIs, integrations, and workflows—not an expert, but confident engaging with customers on technical questions and guiding them to resources.
Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders).
Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results.
Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them.
Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders.
Bonus skills & attributes
Interest in consumption or usage-based SaaS models.
Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools.
Experience in operations, scaling CS / onboarding / customer education / digital engagement programs.
*Proof of eligibility to work in the United States is required.
The OTE range for candidates within the Greater Chicago Area is $135,300 - $161,550. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Manager on the AI-Native GTM team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing AI-Native customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups.
Responsibilities:
Lead, coach, and develop a team of 5-10 Account Executives, providing regular feedback and guidance to drive both individual and team performance
Own team revenue targets, developing strategies to accelerate growth
Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring
Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio
Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts
Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications
Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics
Participate in strategic customer conversations and support Growth AEs in complex negotiations
You may be a good fit if you have:
10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams
Proven track record of consistently exceeding team revenue targets and developing high-performing account executives
Strong understanding of the startup ecosystem and experience working with high-growth technology companies
Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment
Strong analytical and problem-solving skills with a data-driven approach to decision making
Excellence in cross-functional collaboration and stakeholder management
Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions
Demonstrated ability to coach and develop talent while maintaining high performance standards
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Colombia; Brazil
We are looking for a driven and design-minded Software Developer with experience in Java programming and a scripting language (Bash, Python, or Go), for our Rocky Linux based Fidelis cybersecurity platform and appliances. The ideal candidate has experience writing Java using Spring Boot and Hibernate/JPA, and strong SQL skills with relational databases.
Fidelis Security is a growth-oriented company that provides organizations with a robust, comprehensive portfolio of products, services, and expertise to combat today's sophisticated advanced threats and prevent data breaches. Our commercial enterprise and government customers around the globe can face advanced threats with confidence within our Network Defense and Forensics Services, delivered by an elite team of security professionals with decades of hands-on experience, and our award-winning Advanced Threat Defense Products, which provide visibility and control over the entire threat lifecycle.
As a Software Developer you will:
Develop and enhance cybersecurity platform services: design, implement, and maintain robust backend features and system components in Java (Spring Boot + Hibernate/JPA).
Build RESTful APIs and data flows; design schemas, manage migrations, and write efficient SQL for relational databases.
Write and maintain automation and tooling in Bash, Python, and/or Go for builds, deployments, diagnostics, and test harnesses.
Operate on Rocky Linux servers; troubleshoot across OS, networking, JVM, and database layers; daily development in IntelliJ or Eclipse.
Participate in peer code reviews, knowledge sharing, and SCRUM meetings; collaborate using the Agile software development lifecycle.
About 85–90% of the programming for this role is in Java and SQL; the rest is scripting (mostly Bash and Python/Go).
Requirements
Strong experience developing applications using Java, with a strong understanding of object-oriented programming principles (concurrency, collections).
Hands-on with Spring Boot and Hibernate/JPA.
Experience building RESTful APIs and writing unit/integration tests.
Strong SQL and data modeling; hands-on with relational databases (e.g., MariaDB, PostgreSQL, MySQL, etc.).
Knowledge of TCP/IP networking fundamentals.
Comfortable working in Linux (preferably Rocky/CentOS/RHEL): shell, system services, logs, performance troubleshooting.
Good scripting skills in Bash and Python (bonus: Go).
Working knowledge of Git and CI/CD practices; IDEs: IntelliJ or Eclipse.
BSCS or MSCS (or related technical field) with 5–6+ years of experience developing and supporting multithreaded applications in a Linux/Unix environment.
Bonus Skills
Linux networking tools (iptables, ipset, ebtables), routing/bridging/VLANs, and packet capture/analysis.
Active Directory integration experience (AD/LDAP/Kerberos), Windows domain concepts, service accounts/GPOs.
Cloud APIs: experience automating or integrating with AWS, Azure, Google Cloud, and/or OCI (SDKs/CLIs for compute, storage, networking, IAM).
vSphere/ESXi for VM lifecycle management (provisioning, snapshots, virtual networking).
VirtualBox experience, especially using the VBox CLI (vboxmanage) for automation.
Containerization & orchestration: Docker and Kubernetes; event streaming: Kafka.
Experience with Bitbucket or GitLab (repos, merge requests, CI pipelines, permissions).
Cybersecurity domain experience (threat detection, hardening, threat research).
Experience working on Agile software development projects.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Cumberland Systematic
is a multi-asset trading team focused on mid and high-frequency fully systematic strategies in the delta one space. We trade 24/7 globally with our team located primarily in Chicago and London.
We are looking for a
Software Engineer
to join our team. You will work with other software engineers to design and develop the full stack needed to enable a global trading operation with high availability requirements. You will be expected to design and develop integrations with data vendors, blockchain infrastructure, data management solutions, and libraries for managing and analyzing data. The team’s existing systems are written in Python and C++.
Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and engineers are expected to gain an intimate understanding of the business and work directly with quantitative researchers on a daily basis.
Responsibilities:
Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research
Accelerate the research lifecycle from data engineering to feature generation and analysis
Integrate with diverse data sources such as blockchains, exchanges, and data vendors
Test at the unit, functional, and integration levels
Work within in a small team as well as independently with a strong user focus
Provide on-call support as needed
To qualify for this role, you must have:
Python experience gained through professional experience
Built complex systems in modern Python that are maintainable and safely refactorable
Hands-on experience managing large, evolving timeseries data
A working knowledge of type safety and type systems
Strong verbal and written communication skills
Strong internal motivation and a continual desire to learn
Bonus points if you have:
Contributions to open-source crypto projects
Production experience running full or archive blockchain nodes at scale
Collaborated with quantitative researchers
A working knowledge of high-level machine learning concepts and lifecycle
Experience with functional programming and immutable design principles
Practical knowledge of major blockchain types and clients
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-BL1
Location: Malta
The
Compliance Officer
is responsible for overseeing and implementing the compliance monitoring plan of the company. Key responsibilities include deploying the plan throughout the calendar year, ensuring adherence to various MiFID requirements, and dedicating 90% of their time to monitoring activities. The Compliance Officer works closely with the company to ensure adherence to all relevant regulations and standards.
This role is subject to
PQ approval by the MFSA
. We are open to candidates who have already gone through this process, as well as to those who haven’t yet, but meet the formal criteria and are open to going through it with our support.
WHAT YOU'LL BE DOING:
Implement and manage the compliance monitoring plan of the company
Deploy the compliance monitoring plan throughout the calendar year
Ensure compliance with various MiFID requirements and regulations
Monitor activities related to compliance, which will constitute 90% of the job role
Work closely with stakeholders across the organization to ensure alignment with compliance standards
Maintain up-to-date knowledge of regulatory changes and communicate any updates to relevant parties
Prepare and present compliance reports to management on a regular basis
Collaborate with internal teams to address any compliance issues or concerns
Conduct regular audits and assessments to identify and address compliance risks
Provide training and guidance to employees on compliance matters as needed
WHAT WE LOOK FOR IN YOU:
Bachelor's degree in Business Administration, Finance, Law, or related field
Previous experience in a compliance or regulatory role, preferably within the financial services industry
Strong understanding of MiFID requirements and regulations
Excellent analytical and problem-solving skills
Ability to work independently and prioritize tasks effectively
Strong communication and interpersonal skills
Detail-oriented with a high level of accuracy
Certification in Compliance or related fields is a plus
WHY SHOULD YOU JOIN OUR TEAM?
A welcoming group of highly qualified international professionals
Great challenges with many opportunities to prove yourself
Comfortable office
Flexible schedule
40 paid days off
Competitive salary
Location: viena, Austria
Are you passionate about making a difference in mental health? Join Intellect as a Clinical Provider, where you’ll play a vital role in supporting clients on their journeys toward better mental health and personal growth through our cutting-edge telehealth platform.
This freelance, remote role offers complete flexibility, allowing you to set your own business hours. It’s a perfect opportunity to complement your current job or private practice. While we prefer local candidates, we’re open to professionals from diverse locations who are aligned with our mission.
Why Join Us?
Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges.
What You'll Do
Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients
Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more
Partner with our internal clinical team to improve the platform and client programs
Requirements
Requirements
Qualifications: Master’s degree in Counseling or Clinical Psychology
Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT)
Experience: A minimum of 300 clinical hours post-master’s degree
Languages: Proficiency in English and your local language
Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles
Flexibility: Openness to occasional onsite work, if necessary, is a plus
If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!
Location: Austria
Behavioral Health Coach
Join us as a Behavioral Health Coach on our innovative telehealth platform, Intellect, where you’ll empower clients to enhance their mental well-being and achieve personal growth. Using your expertise, you’ll guide clients through personalized, 30-minute video sessions designed around their unique goals.
This flexible freelance role allows you to set your own schedule, making it an ideal supplement to your existing job or private practice. While we prefer local candidates, we welcome talented professionals from various locations to apply.
Why Work with Us?
We’re building a collaborative community of passionate mental health professionals, including International Coaching Federation (ICF) Coaches, Clinical Psychologists, and Counsellors, who share a commitment to expanding access to mental health support worldwide.
What You'll Do
Provide 1-on-1 telehealth professional or mental health coaching for Intellect’s clients
Focus on non-clinical cases such as work stress, procrastination, work-life balance etc.
Support clients in achieving personal, career, or relationship goals
Collaborate with our internal clinical team to continuously enhance our platform and programs.
Requirements
equirements
Qualifications: Active International Coaching Federation (ICF) Certification OR a Master’s/Postgraduate Diploma in Counseling
Expertise: Proficiency in coaching methods and evidence-based approaches (e.g., Cognitive Behavioral Therapy, Motivational Interviewing, DBT, SFBT)
Experience: ICF Coaches with 200+ coaching hours, or Counsellors with 300+ post-graduation clinical hours
Languages: Fluency in English and the local language
Location: Dhahran, Saudi Arabia; Lusail, Qatar; Muscat, Oman; Cairo, Egypt; Dubai, United Arab Emirates; Kuwait City, Kuwait
Eram Talent is looking for a dedicated Liaisonman for Offshore operations to be a part of our esteemed client's team. The Liaisonman acts as the primary interface between the Operator’s drilling/workover team, the drilling contractor, and third-party service providers to ensure smooth coordination and execution of offshore drilling and workover operations. The role ensures all operations are conducted safely, efficiently, and in compliance with company and regulatory standards.
Responsibilities
Serve as the focal point between the Operator and Drilling Contractor during offshore operations.
Coordinate day-to-day drilling and workover activities to ensure alignment with operational programs and schedules.
Supervise and monitor drilling, completion, and workover operations to ensure adherence to the approved work program.
Ensure that safety, environmental, and operational procedures are strictly followed at all times.
Communicate operational updates, challenges, and performance reports to the onshore drilling management team.
Verify and endorse contractor and third-party service company daily reports, job tickets, and timesheets.
Participate in daily operations meetings and contribute to planning and problem-solving discussions.
Ensure the availability and readiness of equipment, materials, and personnel for planned operations.
Support incident investigations and recommend corrective actions.
Liaise with logistics, marine, and procurement teams for the timely mobilization/demobilization of personnel and equipment.
Requirements
Minimum of 5 years of experience in offshore operations or liaison roles.
Bachelor’s degree or Diploma in Petroleum Engineering, Mechanical Engineering, or related field.
Minimum 8
years of oilfield experience
, including:
Drilling projects
(jack-up / semi-sub / land rigs) OR
Workover operations
(completion, intervention, and well servicing).
Previous offshore experience with major operators or drilling contractors is mandatory.
Strong knowledge of well control, drilling fluids, downhole tools, completions, and well servicing operations.
Valid offshore survival and medical certificates (e.g., BOSIET, HUET, OGUK).
IWCF / IADC Well Control Certification (Supervisor level preferred).
Excellent communication, leadership, and coordination skills.
Ability to work under pressure in a multicultural offshore environment.
Benefits
Salary is not a constraint ,company is looking for right candidate .
Dhahran, Saudi Arabia; Lusail, Qatar; Muscat, Oman; Cairo, Egypt; Dubai, United Arab Emirates; Kuwait City, Kuwait
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
Responsibilities
Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable)
Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability
Build robust systems for data quality assurance and validation at scale
Collaborate with research teams to implement novel data processing architectures
Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets
You may be a good fit if you have:
5+ YOE outside of internships
Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems
Hands-on experience with distributed computing frameworks, particularly Apache Spark
Excellent problem-solving skills and attention to detail
Strong communication skills and ability to work in a collaborative environment
Advanced degree in Computer Science or related field
Experience with language model training infrastructure
Background in Data Infrastructure, MLOps, or ML infrastructure
Strong candidates may have:
Have significant experience building high-throughput fault-tolerant distributed systems
Expertise with Python and Rust
Passionate about system reliability and performance
Are comfortable working with ambiguous requirements and evolving specifications
Take ownership of problems and drive solutions independently
Are excited about contributing to the development of safe and ethical AI systems
Can balance technical excellence with practical delivery
Are eager to learn about machine learning research and its infrastructure requirements
Sample Projects
Designing and implementing distributed computing architecture for web-scale data processing
Building scalable infrastructure for model training data preparation
Developing fault-tolerant distributed processing systems
Implementing new infrastructure components based on research requirements
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA
Dhahran, Saudi Arabia
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