Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production.
We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production.
If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit.
Key responsibilities
Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations
Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves
Design APIs and abstractions that work equally well for engineers and for AI agents
Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms
Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback
Build infrastructure-as-code workflows that many teams rely on for safe, routine changes
Scale artifact distribution so code and configuration reach machines quickly and efficiently
Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes
Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform
Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring
Minimum qualifications
Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java
Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams
Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP
Strong written and verbal communication skills
Preferred qualifications
Experience building deployment, release, or change management systems at large scale
Experience with production on-call and incident response
Experience with Rust in production
Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts
Deep knowledge of Kubernetes, including controllers and operators
Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking
Experience building feature flag, experimentation, or dynamic configuration systems
Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage
Experience with software supply chain security, such as signed build provenance
Experience building high-throughput workflow engines or control planes backed by relational databases
Experience building internal developer platforms and leading adoption across many teams
Experience using AI agents in your own engineering work, or building systems that agents operate
Representative projects
Build operator controls for progressive rollouts, including pause and resume that preserve rollout state
Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to
Build cluster-health-aware rollouts that steer around unhealthy clusters
Add a new workload type to the platform, including its rollout, verification, and rollback behavior
Design a deployment control plane that handles sharp bursts of agent-driven traffic
Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
The Vice President of Platform Engineering reports to the CTO and leads the strategy, organization, and execution for 1Password’s core service and development platforms. The VP is accountable for building secure, reliable, and scalable foundations that enable teams across 1Password to deliver, operate, and own with autonomy, speed, and unambiguous accountability. The VP owns operations, drives delivery, and develops a high-performing team to achieve impactful results.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- Experience: 10+ years of experience in software engineering, with at least 7 years in a leadership role, preferably with experience building and operating at the intersections of IaaS, SaaS, and the cybersecurity industry.
- Education: Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related fields; or proven equivalent work experience.
- Proven track record establishing durable, full-lifecycle ownership for critical platforms and services, including adoption, customer experience, reliability, security, cost, incident response, and continued evolution.
- Proven ability delivering and operating cost-effective mission-critical infrastructure and platform systems serving internal- and consumer-facing software products, operational efficiency and market expansion.
- Strong business and technical acumen in systems and software engineering, proven ability to lead an organization and culture delivering best practices and innovation.
- Exceptional analytical and strategic thinking skills, with the ability to define, develop and execute strategic plans across a wide set of objectives, driving committed quantifiable results.
- Extensive experience in building, maintaining, and influencing operational excellence, including process and system optimization, scalability, and the development and management of performance metrics
- Demonstrated ability to collaborate effectively with C-suite leaders and cross-functional teams, aligning on strategic priorities to achieve shared objectives.
- Outstanding communication skills, with the ability to convey complex ideas clearly, build trust, inspire broadly, gaining alignment across diverse stakeholders.
- Proven expertise in leading and sustaining multi-year transformational initiatives in fast-paced, complex, and dynamic environments.
- Proven experience building, developing and scaling high-performing teams.
What you can expect:
- Leadership: Continuously evolve, develop and execute the Platform Engineering vision, strategy, objectives, and roadmaps, aligning and laddering it with the company strategy and customer needs. Proactively incorporate market and industry trends, competitive landscape, and customer insights to identify opportunities, informing strategic decision-making.
- Transformation: Lead multi-year changes to 1Password’s engineering architecture and operating model, building shared platforms, supported paths, and common practices that improve reliability, security, developer effectiveness, and the company’s ability to scale.
- Company Initiatives: Lead technology-adjacent strategic initiatives that facilitate delivering best-in-class engineering results, from inspiration and innovation, to implementation and iterative improvement.
- Operations: Design and evolve the organization, ownership model, and operating mechanisms needed to execute the strategy. Establish clear accountability for the platforms and services the organization operates directly, while creating governed, supported paths that enable other teams to own and operate their products independently.
- Engineering Systems and Practices: Advance how software is built and operated across 1Password through ubiquitous engineering standards, operational excellence, and safe, measurable Agentic Engineering practices. Establish the platforms, controls, and evidence needed for teams to adopt these practices while remaining accountable for their results.
- Performance: Establish clear, quantifiable outcomes across the organization and operating mechanisms that expose progress, quality, adoption, operational health, and business impact. Use evidence to make investment, prioritization, and organizational decisions, transparently providing actionable insights for the executive team and organizational leaders.
- Cross-functional Collaboration: Build strong relationships across the company to proactively identify needs, align strategies, and optimize your company-wide impact. Foster collaboration within and beyond the Technology organization to influence change. Apply critical feedback toward achieving strategic goals. Represent the technical organization in senior leadership meetings, providing updates on strategic initiatives, operational execution, and industry trends and their implications.
- Team Leadership: Build and lead a high-performing team by mentoring and coaching direct reports, evaluating organizational talent, and implementing plans to prepare talent for future business demands.
- Leadership Growth: Invest in the growth and development of the leaders within the technology organization across 1Password via direct mentorship, sponsorship, and participation at sibling organization events, as well as providing leadership alongside cross-functional partner teams, such as Product, Security, People/Talent, Operations and L&D.
- Culture and Org Health: Drive and evolve our high-performance culture, fostering psychological safety, inclusivity, ownership, and agility. Champion initiatives to enhance the employee experience organizationally- and company-wide.
- Financial Oversight: In partnership with Finance, own the organization’s investment and capacity strategy, balancing current operations, future-state transformation, and targeted growth. Ensure resources are allocated against the highest-value outcomes and adjust plans when evidence or business priorities change.
USA-based roles: The annual base salary for this role is between $302,000 USD and $483,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles: The annual base salary for this role is between $278,000 CAD and $445,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Göppingen, Germany; Stuttgart, Germany
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are seeking a highly skilled and technically grounded Product Owner (all genders) to join our TeamViewer Client unit. You will take ownership of the product development for Linux and, in a next step, macOS, driving the product direction and priorities for our Remote Connectivity Product Line (TeamViewer Remote and Tensor) on those platforms."
Act as a Product Owner (all genders) within an agile Scrum team, closely collaborating within the Product Management and Development teams to lead product initiatives from planning to release and enablement of field teams
Lead the agile product development process, collaborate with various departments including Software Development, UX, Marketing, and Sales to ensure the successful launch of new features
Serve as a bridge between customers and the development team, converting customer needs and pain-points into clear product requirements
Plan and track support for new Linux distribution and macOS versions along their release cycles, including organizing beta testing and timely deprecation of outdated versions
Ensure a shared understanding of product goals and platform-specific constraints with the development team, translating Linux and macOS specifics into well-defined user stories with clear acceptance criteria per platform
Coordinate Linux- and macOS-specific development requirements with the development team to ensure platform compatibility
Requirements
A university degree in a technology or business-related field or comparable qualification
Proven expertise in software development environments with a strong emphasis on desktop technologies, and a solid understanding of operating system specifics, including familiarity with Linux and macOS concepts such as distributions, package management, display servers, system permissions and security models
Ability to translate complex technical requirements into clear product features and user stories.
Hands-on mentality and curiosity for operating systems, including willingness to install, test and explore builds on different Linux distributions and macOS versions yourself
Very good communication skills are essential, including the ability to discuss platform-specific technical requirements clearly with the development team and align stakeholders
Fluency in English required; additional languages are a plus
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Premiums for the private pension plan (
BAV
) up to the maximum amount are topped up by TeamViewer
Public transport friendly
offices
Option to
lease an e-bike
(Germany only)
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
£265,000 to £375,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
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:
£265,000
—
£375,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
$350,000 to $500,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
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: United States Remote
Workplace: Remote
ABOUT THE TEAM
Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them.
YOUR MISSION
You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us.
WHAT YOU'LL DO
- Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience
- Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making.
- Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment.
- Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it.
- Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship.
- Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building.
- Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is.
- Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work.
- Design agentic experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does.
- Talk with users every week and bring what you learn back into the work.
- Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions.
- Share what you learn across the product organization so other teams can adopt the practices that work.
WHAT YOU'LL BRING
- 7+ years in product management, including shipping at least one AI product from concept to real users.
- Recent hands-on experience building agentic or LLM-based products, including what went wrong and what you changed.
- Technical fluency to design and read evals, and to work as a peer with engineers and ML engineers on context management, latency, reliability, and failure modes.
- Sound judgment on model decisions: comparing models, routing across them, adopting new ones, and deciding when fine-tuning or a custom model is worth it.
- Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices change margin.
- A record of launching, rebuilding, changing direction, and killing ideas based on evidence
- Comfort making high-stakes decisions with incomplete information, and being candid about the tradeoffs.
- Experience owning outcomes while partnering with expert engineering and design leaders as true counterparts.
- Experience creating structure where no playbook exists.
- Experience with collaboration or productivity software.
- Experience with forward-deployed or customer-embedded product work.
- Experience with agent interoperability, including MCP.
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S.
About the role
Ondo's user research team is small but mighty, and works horizontally across the whole product suite, not inside a single pod. We're hiring a senior quantitative user researcher to build and lead quantitative research across the portfolio.
You'll set your own UXR strategy with minimal guidance, take on the hardest decision-shaping questions whichever team they come from, and answer them with evidence that holds up at scale.
What You'll Do
Own the research intake and quant roadmap. Field research questions from product, design, GTM and leadership. Turn vague asks into answerable questions, decide which need quantitative evidence (and which don't), and prioritize where evidence most reduces risk on our biggest bets.
Answer the big questions before launch. Use MaxDiff and conjoint to show which features, benefits and messages actually drive decisions. Design pre-launch experiments (stimulus tests, matched cohorts, vignettes, threshold studies) with decision rules set before fielding, and pretest instruments with cognitive interviews.
Build measurement and segments that last. Adapt or develop validated scales for trust, perceived security and comprehension, track them across products and markets, and turn our user profiles into statistically validated, sized segments.
Get data you can trust, and connect it to behavior. Design sampling, translation and fraud controls for a global, crypto-native audience, and partner with data science to link survey data with product data.
Evaluate AI-assisted experiences. Design human evaluation for AI-assisted finance features: rubrics, rater reliability, and whether user trust matches how reliable the system actually is.
Be leadership's partner for evidence. Present findings as recommendations with effect sizes, confidence and what would change the call. Give quick, right-sized answers to ad-hoc leadership questions, whether that's existing data, a fast pulse survey or a full study. Set the standards that let PMs and designers run sound lightweight surveys or data-driven validation themselves.
Requirements
7+ years of UX or applied research experience, including at least 5 years leading quantitative studies end to end, from study design through recommendation.
Experience leading quantitative research studies for financial products (e.g., brokerage, trading, banking, payments, wealth or lending).
A self-starter who operates with minimal guidance: you scope ambiguous problems, set your own priorities, and drive studies to a decision.
Deep survey science expertise: sampling and weighting, instrument design, bias control, data-quality screening, and programming in Qualtrics or similar.
Hands-on experience designing and analyzing MaxDiff and/or conjoint studies.
Strong applied statistics: regression, power analysis, and experimental and quasi-experimental design.
Fluency in R or Python for analysis and visualization.
You have an existing AI-assisted research setup, from drafting survey instruments to writing and reviewing analysis code, and you proofread/validate every output with rigor.
A track record of quantitative work that changed a product or business decision, and the ability to explain uncertainty clearly to executives and non-researchers.
Nice to Have
Experience with crypto, onchain or tokenized-asset products.
A master’s or PhD in a quantitative field such as statistics, survey methodology, behavioral economics, or marketing science.
Depth in advanced methods, such as hierarchical Bayes and simulators, psychometric scale development, segmentation, pricing research, or SQL and multilevel modeling.
Experience evaluating AI or LLM-powered products, such as human evaluation design, rubrics or rater reliability.
Research across markets in LATAM, APAC or EMEA, including translating survey instruments.
Responsible AI-native research workflows, such as using LLM tools to speed up instrument design, coding of open-ended responses or analysis.
What we offer
Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation.
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices.
A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.
Location: Remote - USA
Workplace: Remote
SOLUTIONS ARCHITECT
Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives.
In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes.
As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value.
In this role, you'll:
- Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering.
- Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion.
- Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria.
- Translate business and operational needs into clear technical requirements, solution designs, and implementation paths.
- Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment.
- Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities.
- Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows.
- Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework.
- Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work.
- Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns.
- Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations.
- Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases.
- Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact.
- Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business.
- Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations.
- Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team.
- Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers.
- Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes.
- Represent Chainalysis at customer meetings, industry events, and conferences.
- Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working.
We're looking for candidates who have:
- Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management.
- Experience making complex technical or operational concepts understandable to different audiences.
- Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders.
- A creative, structured, and investigative approach to solving challenging customer problems.
- Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable.
- The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems.
- The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined.
- A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices.
- A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage.
- An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve.
Total Compensation:
• Base Salary Range: $160,000-$185,000
• Offers Commission: 75/25 OTE
• Offers Equity
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Goodyear, United States
Workplace: onsite
Role type: Full-time
Location: Goodyear, Arizona
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide.
GUS Education Arizona is a proud part of GUS.
In collaboration with US partners, GUS Education Arizona is committed to delivering transformational educational opportunities in the USA. This position will support Avila University Arizona.
Summary of role:
The Student Services Coordinator is responsible for managing and coordinating student support services, administrative activities, and campus resources for all students at Avila University Arizona. The role holder assists with overseeing student progression and provides ongoing support and guidance to students, in addition to providing a high level of commitment to excellence and integrity in serving all key stakeholders.
Key Responsibilities:
Prepare a list of expected students for every intake and coordinate with the recruitment team to provide timely updates to management.
Effectively plan and conduct student orientation, ensuring the orientation schedule is clearly communicated to all incoming students.
Coordinate and actively participate in student residency weekends, campus activities, and other student-focused events.
Provide students with guidance, resources, and support regarding housing and local accommodation options.
Maintain up-to-date individual student files and follow up on incomplete documentation. Assist in the interim reviews of student records.
Ensure faculty and teachers receive necessary support regarding classes, course materials, online access, schedules, and classroom resources.
Provide basic technical support to students, staff and faculty as needed, troubleshooting routine issues and escalating complex problems to the appropriate technical support team.
Communicate with students proactively regarding any schedule changes, policy updates, or important campus notifications.
Ensure students receive efficient and professional resolutions to their inquiries, issues, or complaints.
Register new students on the online Learning Management System (LMS) and verify that all students are enrolled in their required courses.
Assist in preparing the list of required course books/materials, coordinate with suppliers, and manage the distribution of these resources to students.
Assist in the development and drafting of the Student Handbook, ensuring program information and any policy or procedural improvements are accurately updated.
Work closely with Academic Management and all department heads to continuously improve program delivery and enhance the overall student experience.
Coordinate the progress test and exam schedules for each semester. Actively assist in the preparation and proctoring/invigilation of exams, and securely process, scan, and file marked assessments and student scripts.
Assist with student refund inquiries and related communications from current and prospective students as required.
Issue relevant documentation to students, including leave of absence requests, enrollment/attendance letters, course transcripts, and student ID cards.
Upload student transcripts and academic records to required third-party portals or systems on a timely basis.
Manage the daily operations of the campus student services desk and effectively address issues affecting any stakeholders.
Provide basic technical support
Perform other related duties as assigned.
Qualifications:
Undergraduate degree in a relevant discipline required.
Minimum 2-3 years’ experience working in a higher education setting, ideally supporting a diverse student body including international students.
Excellent communication skills, both verbal and written.
Knowledge of higher education compliance standards and relevant institutional/state regulations.
Acts with ethics, accountability, and integrity; demonstrates sound judgement and respect for the individual in all interactions.
Proven ability to build trusting and productive relationships with students, faulty, and all key stakeholders.
Excellent time-management skills and the ability to prioritize effectively in a busy campus environment.
Ability to work well under pressure, adapt to changing situations, and meet tight deadlines.
Work Conditions:
Primary Work Environment: This position requires a primarily on-site presence at the Goodyear campus to actively support daily operations, student services, and campus events.
Schedule Requirements: Occasional weekend or evening work is required to support student residency weekends, orientations, and other campus events.
Physical Requirements: The role involves frequent work at a desk utilizing a computer and standard office equipment. It also requires occasional minor lifting (e.g., moving event materials, marketing collateral, or standard office supplies) and navigating the campus facility to oversee events, maintenance, and daily activities.
If you feel this is the role you are looking for, please click below to apply for the role!
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS Education Arizona is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive, welcoming environment for all employees and students. All employment decisions are based on qualifications, merit, and campus needs, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Location: Goodyear, United States
Workplace: onsite
Role type: Full-time
Location: Goodyear, Arizona
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide.
GUS Education Arizona is a proud part of GUS.
In collaboration with US partners, GUS Education Arizona is committed to delivering transformational educational opportunities in the USA. This position will support Avila University Arizona.
Summary of role:
The Student Services Coordinator is responsible for managing and coordinating student support services, administrative activities, and campus resources for all students at Avila University Arizona. The role holder assists with overseeing student progression and provides ongoing support and guidance to students, in addition to providing a high level of commitment to excellence and integrity in serving all key stakeholders.
Key Responsibilities:
Prepare a list of expected students for every intake and coordinate with the recruitment team to provide timely updates to management.
Effectively plan and conduct student orientation, ensuring the orientation schedule is clearly communicated to all incoming students.
Coordinate and actively participate in student residency weekends, campus activities, and other student-focused events.
Provide students with guidance, resources, and support regarding housing and local accommodation options.
Maintain up-to-date individual student files and follow up on incomplete documentation. Assist in the interim reviews of student records.
Ensure faculty and teachers receive necessary support regarding classes, course materials, online access, schedules, and classroom resources.
Provide basic technical support to students, staff and faculty as needed, troubleshooting routine issues and escalating complex problems to the appropriate technical support team.
Communicate with students proactively regarding any schedule changes, policy updates, or important campus notifications.
Ensure students receive efficient and professional resolutions to their inquiries, issues, or complaints.
Register new students on the online Learning Management System (LMS) and verify that all students are enrolled in their required courses.
Assist in preparing the list of required course books/materials, coordinate with suppliers, and manage the distribution of these resources to students.
Assist in the development and drafting of the Student Handbook, ensuring program information and any policy or procedural improvements are accurately updated.
Work closely with Academic Management and all department heads to continuously improve program delivery and enhance the overall student experience.
Coordinate the progress test and exam schedules for each semester. Actively assist in the preparation and proctoring/invigilation of exams, and securely process, scan, and file marked assessments and student scripts.
Assist with student refund inquiries and related communications from current and prospective students as required.
Issue relevant documentation to students, including leave of absence requests, enrollment/attendance letters, course transcripts, and student ID cards.
Upload student transcripts and academic records to required third-party portals or systems on a timely basis.
Manage the daily operations of the campus student services desk and effectively address issues affecting any stakeholders.
Provide basic technical support
Perform other related duties as assigned.
Qualifications:
Undergraduate degree in a relevant discipline required.
Minimum 2-3 years’ experience working in a higher education setting, ideally supporting a diverse student body including international students.
Excellent communication skills, both verbal and written.
Knowledge of higher education compliance standards and relevant institutional/state regulations.
Acts with ethics, accountability, and integrity; demonstrates sound judgement and respect for the individual in all interactions.
Proven ability to build trusting and productive relationships with students, faulty, and all key stakeholders.
Excellent time-management skills and the ability to prioritize effectively in a busy campus environment.
Ability to work well under pressure, adapt to changing situations, and meet tight deadlines.
Work Conditions:
Primary Work Environment: This position requires a primarily on-site presence at the Goodyear campus to actively support daily operations, student services, and campus events.
Schedule Requirements: Occasional weekend or evening work is required to support student residency weekends, orientations, and other campus events.
Physical Requirements: The role involves frequent work at a desk utilizing a computer and standard office equipment. It also requires occasional minor lifting (e.g., moving event materials, marketing collateral, or standard office supplies) and navigating the campus facility to oversee events, maintenance, and daily activities.
If you feel this is the role you are looking for, please click below to apply for the role!
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS Education Arizona is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive, welcoming environment for all employees and students. All employment decisions are based on qualifications, merit, and campus needs, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
• Проектировать, писать и выпускать ключевые компоненты платформы: policy engine, signing orchestration, key lifecycle, recovery flows, approvals и audit trails. • Вести перекрёстные технические инициативы через RFC, дизайн‑ревью и код.
УдалённоseniorПолностью удалённая работа, любой часовой пояс с разумным пересечением с EU/CIS
Location: Canada
Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds….
ClinChoice is searching for a
Raw Material Compliance Review Associate Consultant
with
REMOTE
option in
CANADA
for
12 months CONTRACT
, to join one of our major consumer products client.
ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture.
We are looking for a detail-oriented and scientifically driven Raw Material Compliance Review Associate to join our Regulatory team and help ensure the safety and regulatory compliance of our product ingredients.
Position Summary:
This position is responsible for supporting global regulatory compliance of new and existing ingredients and raw materials used in the company’s products, and assessing impact of regulatory changes to the portfolio of products. This role is critical in supporting product development, regulatory submissions, and quality assurance initiatives.
Key Responsibilities:
Support maintenance and update of ingredient/raw material regulatory information in company’s internal systems.
Assist with maintaining regulatory compliance of raw material dossiers by reviewing data on file, performing data gap analysis and communicating with suppliers, as needed.
Assess impact of regulatory changes to the company’s product portfolio in accordance with global cosmetic regulations (e.g., FDA, EU, Health Canada, ASEAN, etc.) and ensure internal alignment.
Review and assess raw material documentation (e.g., SDS, TDS, specification sheets, allergen statements, regulatory declarations).
Evaluate raw materials for restricted substances, labelling requirements, and safety concerns.
Maintain and update internal databases and records.
Collaborate with R&D, Regulatory, Quality, and Purchasing teams to resolve ingredient or documentation discrepancies.
Assist in compiling regulatory dossiers for product registration and claims substantiation.
Qualifications:
• Bachelor’s degree in Chemistry or a closely related scientific field (required).
• Minimum of 2 years of experience in regulatory affairs, quality, or raw material review—preferably in the cosmetics, personal care, or related industry.
• Familiarity with global cosmetic regulations and ingredient restrictions.
• Excellent attention to detail, organizational skills, and written communication.
• Proficiency in Microsoft Office (Excel, Word, Outlook); experience with regulatory databases is a plus.
• Excellent project management skills. Ability to manage multiple priorities and work in a fast-paced, collaborative environment.
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
#LI-PB1 #LI-Remote #Contract
AI:
Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results.
Vacancy:
This posting is for an existing vacancy.
Open Date: 28/10/2026
Close Date: 12/12/2026
The following disclaimer for CA must be included (remove the equal opportunities wording from the advert template in the bottom paragraph and replace with the following & delete these instructions):
ClinChoice Canada Inc. is proud to be an equal opportunity employer, valuing and respecting diversity. We are committed to inclusive, barrier-free recruitment and selection processes. We will accommodate the needs of qualified applicants under the Human Rights Code and the Accessibility for Ontarians Disabilities Act, in all aspects of the hiring process, upon request by calling + 1 (647)724-5709 x 301.
We thank all applicants for their interest; however, only those being considered for an interview will be contacted. In accordance with Federal Personal Information Protection and Electronic Documents Act ("PIPEDA") , personal information is collected under the authority of the Act and will only be used for candidate selection.
The base salary pay range represents the anticipated low and high range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.
Canada Pay Range
$20
—
$23 USD
Location: Remote - Atlanta
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
As a Regional Sales Manager, you will own the full sales cycle for new and expansion opportunities across commercial and mid-market accounts. You will establish MinIO’s value proposition, and close deals contributing to our overall success. You’ll need to thrive in a fast-paced, agile setting and work cross-functionally to help us expand from a product-led sales approach to include a sales-driven growth strategy.
This role requires comfort in a fast-paced, agile environment and close cross-functional collaboration as we evolve from a primarily product-led motion to a hybrid model that includes sales-driven growth.
What You Will Do
New Business Development:
Prospect, qualify, and close new business across commercial and mid-market accounts. Drive opportunities from first meeting through technical validation, pricing, and close
Expand and Retain Accounts:
Manage relationships with strategic customers, identifying opportunities to cross-sell, upsell, and deliver measurable value.
Articulate Value:
Become an expert in communicating MinIO’s benefits to technical and business stakeholders, focusing on business impact and customer success.
Collaborate Cross-Functionally:
Partner with internal teams, including product, marketing, and customer success, to deliver seamless customer experiences.
Pipeline and Forecast Management:
Build and manage a healthy pipeline with disciplined forecasting and deal hygiene
Use MEDDPICC (or similar) to qualify deals and drive predictable outcomes
Maintain accurate pipeline, forecasting, and activity tracking in Salesforce
Collaborate cross-functionally with Field Architects, Marketing, Customer Success, and Product
Your Skills and Experience
Proven Sales Track Record:
3+ years of experience in B2B SaaS or infrastructure sales experience sales with consistent quota achievement and expertise in managing complex, high-value sales cycles.
New Business Acumen:
Strong background in sourcing and closing new customers, particularly in enterprise or mid-market segments.
Account Growth Expertise:
Demonstrated ability to expand and retain accounts through cross-sell, upsell, and delivering measurable customer value.
Technical Domain Knowledge:
Familiarity with cloud-native technologies, data infrastructure, or B2B SaaS. Experience engaging with technical buyers, including VPs of Infrastructure, Engineering, and Enterprise Architects.
Startup Mindset:
Thrives in fast-paced environments, with experience at early or growth-stage companies.
Challenger Sales Approach:
Skilled at challenging the status quo, demonstrating clear business value, and driving competitive wins.
Communication & Negotiation:
Excellent verbal and written communication skills, with the ability to influence decision-makers and navigate complex negotiations.
Team Collaboration:
Proven ability to work across functions, leveraging internal resources to achieve customer success.
Experience managing deal sizes ranging from $50k to $300k+.
Expertise in pipeline generation tools (e.g., SalesLoft, Outreach) and social selling (e.g.,LinkedIn Navigator).
Familiarity with Force Management, MEDDPIC or other sales methodologies.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Kuala Lumpur, Malaysia
Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds….
ClinChoice is searching for a Field Clinical Manager to join a pharmaceutical company
ClinChoice is a global full-service CRO with a strong focus on quality, professional development and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with client counterparts.
Main Job Tasks and Responsibilities:
As a Field Clinical Manager, you will play a pivotal role in bridging the gap between investigators, our local teams, and multiple functions within our global study teams.
Your primary responsibility will be to ensure that clinical trial procedures are performed in compliance with the protocols developed by our cross-sector Development Teams.
Your key responsibilities will include:
Acting as a liaison between external healthcare providers (surgeons and interventionalists) and internal teams, representing the procedural needs of clinical trial sites
• Serving as the point of contact responsible for answering procedure-related questions at the site, or passing them on to the appropriate medical study team members
• Developing robust relationships with site clinicians and teams to enhance the site experience, support enrollment, foster collaboration, and optimize procedural workflow
• Advising on training materials through collaboration with internal team members to enable a skilled and proficient trial workforce
• Leading on-site or remote training for pharmacy, OR suite, and administration teams
• Supporting site feasibility assessments, site qualification visits (SQVs), and site initiation visits (SIVs), in partnership with clinical operations, as we build a global clinical trial network
• Establishing and maintaining relationships with internal Global Clinical Operations and trial team partners
• Developing clinical observations and insights to guide product development activities
• Attending and assisting with organizing national, regional, and global meetings, including investigator meetings
• Proactively collaborating with the Interventional Oncology key opinion leaders and consulting network to advise trial sites best practices
• Collaborate with INTO KOL and consulting network to advise trial sites on clinical best practices
Education and Experience:
Equivalent experience is acceptable in lieu of a Bachelor's degree. However, a degree in the fields of Biology, Chemistry, Healthcare and/or Engineering is strongly preferred
• Seven or more years of professional experience in the healthcare industry is required
• Experience as an industry representative or procedural support role in an operating room environment is required
• A proven track record of teamwork, collaboration, inclusion, and developing strong business relationships with internal teams and outside partners is required
• An adaptable self-starter mentality is required; experience and comfortability navigating an agile start-up type environment is preferred
• Experience in clinical trial execution and familiarity with ICH Guidelines for Good Clinical Practice (GCP) is preferred
• Technical experience with sophisticated medical technology used in surgical procedures such as robotics and medical imaging is preferred
• Strong problem-solving skills for developing creative solutions and meeting project objectives is required
• Experience with Key Opinion Leader (KOL) development and management is preferred
• Willingness and ability to travel domestically and/or internationally up to 75% of the time is required
• Consistently monitors and adheres to key performance indicators (KPIs), using goals and insights to meet or exceed critical metrics and continuously improve performance
• Fluency in English language is required
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical devices, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives to all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
Key words
: Field Clinical Manager, Clinical Specialist, Field Clinical Specialist, Field Clinical Engineer, Clinical Application Specialist, Product Specialist, Procedural Support, Case Support, Clinical Support, Clinical Training, Operating Room, Surgical Procedures, Case Coverage, Procedural Workflow, Interventionalists, Surgeons, OR Staff Training, Interventional Oncology, Interventional Radiology, Oncology, Ablation, Embolization, Interventional Pulmonology, Bronchoscopy, Urology, Endoscopy, Surgical Robotics, Robotic Surgery, Medical Imaging, Fluoroscopy, Minimally Invasive Procedures, Clinical Trials, GCP, ICH-GCP, Good Clinical Practice, Site Initiation Visit, Site Qualification Visit, Site Management, Feasibility, Patient Enrollment, Investigator Meetings, Clinical Operations, Study Protocol, KOL, KOL Engagement, Key Opinion Leaders, Stakeholder Management, Cross-Functional Collaboration, MedTech, Medical Devices, Start-up, Travel, Fluent English, Thailand, APAC, Southeast Asia, Hiring, Job OpeningEnglish, Clinical Trials, CRO, Clinical Research Organization, Clinical Research, Outsourcing, Contract, Temporary, CRO, Contract Research Organisation, Outsourced, Outsourcing, Sponsor-dedicated
#LI-RE1 #LI-REMOTE #TEMPORARY #FUL TIME #ClinicalSpecialist #InterventionalOncology #MedicalDevices #ClinicalTrials #Hiring #ARGENTINA
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As the API Product Lead at Harvey, you'll own the strategy, roadmap, and execution for Harvey's APIs: the way law firms and in-house legal teams integrate with and build on top of Harvey’s platform.
You'll turn customer demand into a product that customers can adopt, build on, and capture value from. You'll balance new capabilities against the reliability, security, and scale that production builds on Harvey require.
WHAT YOU'LL DO
You'll define and drive the product vision and roadmap for Harvey's APIs, aligned with company strategy and grounded in evidence from customers, usage data, and the market. You'll work closely with engineering, solutions architects, and go-to-market teams to ship, and you'll own the outcomes: adoption and production usage.
Day to day, you will own planning, prioritization, and roadmapping. You'll make and communicate crisp prioritization decisions, balancing new capabilities against reliability, performance, and security. You'll define the metrics that matter, including who is building on Harvey, what they are building, how much they use, and hold the team accountable to them. You'll be the connective tissue between customers building on Harvey, the teams who support them, and engineering, and you'll raise the product bar through rigorous specs, reviews, and decision-making.
WHAT YOU HAVE
7+ years of product management experience shipping and scaling software platforms in a production environment, with a track record of measurable impact
Experience owning APIs or developer platforms end to end, from design and documentation through adoption and monetization
Strong ability to translate ambiguous problems and deep customer needs into clear strategy, crisp requirements, and prioritized roadmaps
Fluency working with engineering on technical trade-offs, and comfort with API design, authentication and access control, rate limits, and usage metering at a level sufficient to make informed decisions
Excellent analytical skills, with the ability to define metrics and use data to guide decisions
Outstanding written and verbal communication, and a demonstrated ability to influence and align stakeholders across product, engineering, and go-to-market
A high bar for quality, strong product judgment, and a "spidey sense" for where a developer or customer experience could break down
COMPENSATION
$213,600 - $300,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-GV1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
About this role
GiveDirectly gives cash directly to people living in poverty and in emergencies. Both depend on the same question: did this person live in this place, at this time? We ask it when we target the poorest households, and when a disaster displaces a community overnight. Location records held by Mobile Network Operators (MNO) can help us estimate an answer to this question at scale. We work with MNOs so they can infer, from their own records, whether a subscriber was resident in a target area over a defined period. Robust residence location inference from MNO data requires in-depth analytical work, and the methods we design have to run on an operator's systems - most often implemented by their engineers - under strict data protection and confidentiality rules.
We are hiring a Senior Data Scientist to progress our work on location inference from MNO data, and to make it repeatable. Your job is to improve and extend our library of method templates, adapt them to each new operator and setting, and design new elements when an intervention requires it. You'll assess what can be inferred from a given operator's data, specify the analysis clearly enough for their data engineers to implement, then test it with them remotely or on site. You'll support introductory meetings with MNOs, describing methodologies at a high level, and inform the work of data privacy and cybersecurity teams to ensure only necessary data are shared securely. You'll also help colleagues across GiveDirectly understand the strengths and limitations of this data source, so we design programs around questions it can best answer.
This work is live in several countries, and we're expanding it across the countries where we have offices and to low- and middle-income countries anywhere in the world when a crisis hits.
Reports to:
Senior Product Manager - MNO data
Level
: Senior Manager
Location:
At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back.
Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time.
Travel Requirement:
Substantial international travel, roughly 25 to 50% of your time depending on emergencies, sometimes at short notice - for workshops with operators to support programs and emergency responses.
What you’ll do:
Improve and extend our library of analytical method templates for establishing where people live from MNO data, and depending on circumstances, for detecting displacement or estimating poverty. Design novel methods when an intervention requires it.
Support colleagues in technical conversations with operators, bringing clarity on the data we need and why, and steering discussions toward technical designs that make the analysis workable.
Assess the information that can be inferred from each operator's data given data types and sparsity, and for each geography and targeted area. Support intervention design to account for data quality.
Write tests and method specifications for MNO data engineers to implement: steps, parameters, pseudocode, validation criteria.
Guide operator engineering teams through implementation, in writing and in person. Adapt methods to accommodate large data volume and computational constraints, balancing accuracy and operational needs.
Run in-country workshops with operators to support the set-up of new analyses and - where feasible - tune parameters based on statistical tests and distributions.
Feed every new analytical and implementation element back into standard templates, so the next country or intervention starts from a better position than the last.
Design for privacy from the start, so that as little data as possible has to be shared: aggregation, minimization, and where useful, privacy-enhancing technologies such as private set intersection or homomorphic encryption.
Protect the confidentiality of what operators share with us and improve internal data security processes and tools as we grow.
Build internal training material so that our technical and non-technical teams understand the strengths and limits of this data, and design interventions accordingly.
What you’ll bring:
Exceptional alignment with
GiveDirectly Values
and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve.
Strong mathematical modeling, machine learning and statistics. You choose methods for the question rather than for their sophistication, and you value being able to explain a result over squeezing out the last point of performance.
Deep comfort with spatio-temporal data: temporal filtering, GIS, probability distributions, combinatorial reasoning, and working with sparse, irregular observations. Direct experience with Call Detail Records (CDRs) or latching data is a strong plus. Comparable experience with mobility, transport, sensor or remote-sensing data counts.
The ability to reason without ground truth. Much of this work has no validated answer to check against, and you're comfortable setting parameters by reading the shape of the data and defending that choice.
Pragmatism about the trade-off between accuracy and implementability. You've deliberately simplified a method to fit an operational constraint, and you can say what it cost you.
Excellent communication and relationship-building skills. You can explain a method and its limitations to an operator's engineers, to their data protection officer, to their leadership and to colleagues with or without technical background. You write well and are comfortable presenting to these multiple audiences. You build trust with counterparts you don’t manage, and they want to work with you again.
Experience writing technical specifications that other teams implemented, clear enough that people you don't manage could follow them correctly.
Able to read and review SQL and Python written by others, and to find the logical error in someone else's query. Writing production-quality code yourself is welcome but not required. Enough understanding of large data volumes and databases to judge when analytical simplification is required.
Commitment to privacy by design as a foundational value and starting point rather than a compliance step: designing analyses so that less personal data has to be shared. Familiarity with privacy-enhancing technologies for shared computation (private set intersection, secure multi-party computation, homomorphic encryption) is a strong plus.
Commitment to confidentiality. You've handled a partner's commercially sensitive data and can describe the habits you built around it, not just the clause you signed.
Experience designing training material that changed how non-specialist colleagues used a data source.
Comfort in fast-moving contexts where the brief may often shift, and where your technical expertise and understanding may not be shared by other stakeholders.
Additional desirable experience may include: poverty modeling; familiarity with survey data and survey instruments; experience inside a mobile network operator or working closely with one; open-source contributions in the mobility estimation space.
Comfortable with travel to fragile and post-disaster contexts.
Language Requirement: English.
Language Preferences: French, Portuguese, Swahili or Spanish.
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy
here
.
Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.
United State
Base Salary:
$107,070
Bonus at Target Performance:
10%
Annual Benefits Stipend:
$21,393
United Kingdom
Base Salary:
£70,250
Bonus at Target Performance:
10%
Annual Benefits Stipend:
£2,760
Kenya
Base Salary:
$
72,550
Bonus at Target Performance:
10%
Annual Benefits Stipend:
$8,454
This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process.
#LI-REMOTE
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Brazil - Remote
УдалённоRemote (United States | Canada)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Противоречивые условия: Most full-time research roles at Anthropic require relocation to San Francisco
San Francisco, CA | New York City, NY; Most full-time research roles at Anthropic require relocation to San Francisco
УдалённоГеография найма не уточнена
УдалённоseniorRemote (US)
УдалённоRemote - USA
ОфисGoodyear, United States; Primary Work Environment: This position requires a primarily on-site presence at the Goodyear campus to actively support daily operations, student services, and campus events
ОфисGoodyear, United States; Primary Work Environment: This position requires a primarily on-site presence at the Goodyear campus to actively support daily operations, student services, and campus events
seniorUnited States - Remote
Canada
УдалённоГеография найма не уточнена
Kuala Lumpur, Malaysia
ГибридleadSan Francisco
УдалённоseniorIf you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back