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
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.
We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential.
Responsibilities:
Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
Build abuse detection mechanisms and infrastructure
Surface abuse patterns to our research teams to harden models at the training stage
Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale
You may be a good fit if you:
Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience
Proficiency in at least one programming language such as Python, Java, etc.
Ability to work across the stack
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of experience in a software engineering position
Have experience with integrity, spam, fraud, or abuse detection and mitigation
Have experience building trust and safety detection mechanisms and intervention for AI/ML systems
Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Have worked closely with operational teams to build custom internal tooling
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dublin, Ireland; London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
The
Research, Analytics & Data Science (RAD)
team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.
AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that
do
the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.
The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.
This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.
What will I be doing?
Design, evaluate, and ship AI-powered internal tools
for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
Work end-to-end:
Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
Prototype fast, ship to learn:
Rapidly build with users, then productionize quickly to iterate and deliver impact.
Instrument for adoption and outcomes:
Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
Evangelize and enable:
Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.
What skills do I need?
Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
Collaborative
product mindset
- comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing. We are hiring a Solutions Architect for Automotive to help our partners (companies like Mercedes, Ford, GM, Elektrobit, Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) and prospects understand and embrace our open source platform for themselves and their customers.
Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to embedded. And we continue to expand our range of offerings to bring our security, management and developer experience to the smallest Linux environments and devices. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.
Beyond an expected Automotive expertise, this career opportunity requires a unique blend of skills. Successful candidates will know Linux well and be proficient coders and scripters. They will have experience of low-level Linux boot, BIOS, firmware and embedded software development methodologies. They also enjoy the pace of change and diversity of client engagements with driven and ambitious technology entrepreneurs. Competitive, business-focused technologists at heart, they are also dedicated team players that take pride in team and company wins.
We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.
Location
: This is a home-based role, we are hiring worldwide.
What your day will look like
Engage customers during presales to gather requirements and explain our technology
Liaise with other Canonical's experts (mastering the Cloud, Kubernetes, Security or Safety, etc) to aggregate our collective knowledge into comprehensive solutions for our prospective clients
Participate to the delivery of select projects related to Embedded Linux, including demos and PoCs
Convey market requirements to key stakeholders in our organization, and sometimes participate to the development or refining of generic solutions to unlock market potential
Be both a customer advocate and a trusted advisor to Canonical
If you have a passion for the latest open source technologies applied to Automotive, if you want to play an active role in building Software Defined Vehicles, if you are curious with a will to learn how to leverage and adapt Cloud technologies to the embedded world, you will love working at Canonical.
What we are looking for in you
Bachelor’s degree in Computer Science or related technical field
Extensive Linux experience - Debian or Ubuntu preferred
Solid embedded Linux experience - Yocto or RTOS
Fluency in Golang, Python, C, C++, or Rust
Professional written and spoken English in addition to the local language
Excellent communication and presentation skills
Interest in customer-facing engagement, including pitching, demonstrating and understanding customer environment and needs
Result-oriented, ability to multi-task
A personal drive to meet commitments
An humble learner and quick study
Relevant experience in the Automotive industry
Albeit many projects can be done remotely, the successful candidate will be willing to travel up to 30% of the time for customer meetings, company events, and conferences
Additional skills that you might also bring (but not mandatory)
Experience with ISO26262 and/or ISO21434
Experience with customer engagements
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues from your team and others
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-Remote
Location: Remote, USA
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Position Summary:
We are looking for a Principal Salesforce Architect, reporting to the Director – Enterprise Architecture, to work with the IT team, product teams, as well as senior executives to drive the design of our enterprise domain taxonomy. As a Salesforce architect, you will be required to represent deep expertise on modernization and transformation of mission critical applications facilitated by aligning these applications to their core business domains. The ideal candidate will champion business and technology alignment of core capabilities ensuring the buildout of an enterprise taxonomy framework which will underpin domain roadmaps and technology transformation. We are seeking a candidate who has great breadth and depth of experience when it comes to developing business relationships and ensuring technology alignment.
Key Responsibilities:
•Execute the strategic vision for the Enterprise Architecture practice under the guidance of leadership
•Collaborate with domain architects, engineers, and leaders to develop technical standards, reference architectures, design patterns, opinion papers, and architecture decision frameworks that guide technology solutions, especially those requiring integration of multiple platforms, operating systems, and applications across the business.
•Develop and manage a technical strategy and coordinates adoption. This individual will be responsible for architecting enterprise guidance that conveys standard processes and common pitfalls for system design, infrastructure integrations, application development practices, and application runtime principles.
•Manage the architecture review process by creating validation checklists, reviewing architectural artifacts, and providing domain specific guidance to drive architectural alignment across the enterprise.
•Translate business requirements into well architected solutions that best leverage the Salesforce com platform
•Design and develop effective and efficient end to end solutions for complex business problems
•Apply architectural and engineering concepts to design solutions that meet operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.
•Manage the technical delivery of custom development integrations and data migration elements of a Salesforce com implementation
•Technical Strategy Development: Develop and execute a comprehensive technical strategy for Salesforce platform encompassing architecture design development integration and maintenance
•Conduct research and develop Proof of Concepts on emerging technologies and implementation toolkits in support of anticipated development efforts and recommend technologies that are functionally robust and cost effective.
•Research, enforce, and drive the adoption of design patterns throughout the enterprise and evangelize standard processes for solution design and development.
•Contribute to producing target state solution architectures, conducting architectural assessments and gap analyses, and shaping the overall solution strategy and roadmap
•Partner with data architect(s) to support data management practices, ensuring data integrity, security, and compliance
•Partner with integration architect(s) to support integration strategies ensuring seamless communication and data flow across various systems
•Work closely with solution architects to ensure that individual solutions align with the overall enterprise architecture
•Collaborate with business leaders to create business capability models that align technology capabilities with business needs
•Contribute to building a vibrant ‘learning community’ within the enterprise architecture discipline, fostering continuous improvement and consistently delivering value to various business units
Required Experience & Skills:
•Bachelor's or Master's degree in Computer science, Information Technology, or a related field
•5+ years of experience as a senior domain architect or senior enterprise architect.
•Prior experience as a Principal Salesforce Architect in a global organization working with Salesforce Connected Apps (applications from SalesForce App Exchange)
•Proven experience designing and delivering complex B2B SaaS Salesforce solutions.
•Led at least two large-scale Product-to-Cash (CPQ/RCA) implementations from design to go-live, with 5+ years of experience defining Salesforce architecture across quoting, contracting, fulfilment, billing, revenue, customer success, and customer support.
•Familiarity with managed packages such as Gong, DocuSign CLM, Kantata, Gainsight, Showpad, Qualtrics, or similar enterprise apps would be a plus
•Experience with planning and leading architecture delivery for large-scale business and systems transformation programs is a must
•Proven track record of successfully leading large scale Salesforce initiatives from concept to delivery
•Deep understanding of Salesforce architecture capabilities and ecosystem including Sales Cloud Service Cloud Marketing Cloud and Community Cloud or SuccessFactors ecosystem.
•Strong leadership and interpersonal skills with the ability to effectively communicate complex technical concepts to non-technical stakeholders
•Salesforce certifications such as Salesforce Certified Technical Architect CTA Salesforce Certified Application Architect or Salesforce Certified System Architect preferred
•5 years of Hands-on enterprise architecture framework experience (TOGAF, C4, Archimate etc.)
•Strong analytical, problem-solving, communication skills
•Previous roles with a focus on data architecture, application or solution architecture, integration, risk management, and technology standards
•Strong understanding of security architecture principles and practices
•Proven experience in business capability modeling and translating business needs into technology solutions
Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset.
#LI-AJ
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $168,000-$187,000 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: Home based - EMEA
Be the voice of Canonical
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We’re looking for an energetic and creative Senior Communications Manager with experience in analyst relations (AR) to join our communications team. The ideal person for this role will drive communications strategy through the analyst relations channel in order to increase Canonical’s visibility among industry influencers and shape market perception.
Canonical serves a diverse customer base, ranging from end users to startups, large enterprises and governments. Our portfolio is broad in scope and in reach. The ideal candidate is passionate about technology, curious about shaping the evolving AR field, and relishes the challenge of communicating a diverse product range based on trusted open source.
The AR field is becoming increasingly data-driven. Market research is also changing as a discipline thanks to AI models. As the voice of Canonical towards analysts and industry influencers, you will define and implement a strategy for data-driven engagement across portfolio areas, building on key narratives, developing new ones, and establishing relationships to advance our position across markets and foster long-term brand equity.
This role will involve close partnership with the Product Management function within the company, as well as the Alliances, Sales and Marketing teams, to communicate key product news and announcements and manage perception of Canonical and its range of products among analysts. You will have the opportunity to shape the AR field in the company and help our organization stay ahead of the curve using technologies like AI to conduct market research and assess market perception, delivering insights to the business.
This is a senior position and sits in the communications team reporting to the Director of Communications.
Location:
This role will be based remotely in the EMEA region.
What your day will look like
Prepare and execute analyst-focused communications plans for product announcements, new partnerships and other initiatives in line with our go-to-market strategy
Proactively look for ways to use new technologies like AI to analyze market trends and assess analyst perception and sentiment of Canonical and its products
Understand GenAI platforms developed by analyst firms and ensure they contain the right information about Canonical’s portfolio
Craft and deliver compelling narratives about Canonical and its products in line with our company vision
Manage analyst relationships directly, coordinating touchpoints throughout the year both through online briefings and industry events
Measure the impact of the AR program, reporting regularly on progress to leadership, implementing the necessary tooling to improve collaboration and managing spend
Proactively position the company in key analyst reports to drive recommendations and strengthen the company’s brand
Support the Director of Communications on Corporate Communications initiatives
What we are looking for in you
Extensive experience in communications with proven achievements in the AR field and market research
Experience managing technology communications (agency or in-house) or global AR programs
A track record of delivering innovative and successful communications campaigns in the technology space, and enhancing company positioning through AR programs
Experience in cloud/SaaS/open source technology
An analytical eye and the ability to develop measurement frameworks to inform decision making at leadership level
Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams to ensure alignment between campaign objectives and PR/AR initiatives
Excellent verbal and written communication skills
Proven ability to prioritize and differentiate what matters from the noise, meeting deadlines without sacrificing quality
Affinity for planning is a must, experience with project management tools like Jira is an advantage
Background in product management or product marketing is a plus
Willingness to travel up to 4 times a year for internal events
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
🏠Fully remote working environment - we’ve been working remotely since 2004!
📚Personal learning and development budget of 2,000USD per annum
💰Annual compensation review
🏆Recognition rewards
🏝 Annual holiday leave
👶Parental Leave
🧑💼Employee Assistance Programme
🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’
✈️Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Sofia, Bulgaria
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you a team player with great communication skills? Do you enjoy working in a dynamic environment? If your answer is yes, then read further!
🤩
We are looking for full-time Support Associates to join our Support team in Bulgaria!
What you'll be doing
Supporting our customers, courier partners, and venues via live chat and phone
for Bulgarian market
Ensure that the delivery operations run smoothly
Developing our support function together with the support team as well as other teams within Wolt
Our humble expectations
You have great communication skills with a personal touch and a customer-obsessed and team-oriented mindset
You are a fast learner, you have no problem with multitasking, and you are ready to work in a fast-paced environment
You can work in shifts in mornings, evenings, and weekends - our support is open seven days a week
You will work directly from the office
You are fluent in Bulgarian and English
Next steps
All our Support Associates work directly from our office, and we do not provide the possibility to work from home.
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so send through your application along with your CV as soon as possible! 💙
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
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:
We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally.
This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges.
Core Responsibilities:
Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets
Understand the needs of underserved communities and translate them into scalable technical and product solutions
Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations
Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers
Develop multilingual and accessibility capabilities across platforms
Build systems to measure and demonstrate social impact at scale
Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities
Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts
You might be a good fit if you:
Have 6+ years of practical experience as a full-stack software engineer
Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations
Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations
Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs
Care deeply about using technology for social good and want your engineering work to have meaningful impact
Have excellent collaboration skills and can work effectively with product, partnerships, and field teams
Strong candidates may also:
Experience with international markets, multilingual products, or accessibility features
Background in nonprofit technology, social impact startups, or mission-driven organizations
Experience with AI/ML products and LLM applications
Familiarity with building products for resource-constrained environments or emerging markets
Understanding of compliance requirements in regulated sectors
Startup experience, particularly in scaling products from zero to one
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
This is a Future Opening. Webflow does not currently have an immediate opening or confirmed start date for this role. We are using this posting to connect with prospective candidates for anticipated hiring needs. If a matching role opens, our Talent team may contact qualified candidates about next steps
ABOUT THE ROLE:
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- This posting is for a future position
As a Senior Software Engineer, Fullstack, you’ll …
- Design, and implement scalable multi-tenant backend services and APIs.
- Work with technologies such as Node.js, Javascript/Typescript, MongoDB, GraphQL, Apollo, Amazon Web Services EC2, S3, Lambdas, Kafka, and more.
- Demonstrable experience and expertise in multiple technical domains.
- Contribute to building and executing on functional strategy.
- Lead projects that directly contribute to team and engineering organization's deliverables.
- Produce maintainable, tested, performant, and scalable code.
- Author, collaborate on, and evaluate design documents.
- Influence technical designs and team-level prioritization as well as participate in technical solutions.
- Collaborate with product managers and designers in an autonomous, supportive team environment.
- Mentor junior engineers in technical skills and Webflow culture.
- Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening and improving our hiring processes, and leading internal hackathon teams.
In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.
ABOUT YOU:
Requirements:
- Business-level fluency to read, write and speak in English
You’ll thrive as a Senior Software Engineer, Fullstack if you:
- Have 5+ years developing and deploying web applications, with a proven track record of shipping code.
- Are familiar with Node.js and TypeScript and can write scalable services and APIs using Express.js, GraphQL, Apollo, and MongoDB.
- Can debug production issues across services and multiple levels of the stack.
- Have proven experience building complex web systems.
- Have used testing frameworks (e.g. Jest, Mocha, Playwright, Cypress).
- Are comfortable working in an agile, safe-to-fail, environment.
- Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
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. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Amman, Jordan; Pakistan; India
Müller's Solutions is currently seeking an experienced SAP FICO Consultant with a focus on Costing and Treasury to join our team on a 6-month contract basis. In this role, you will provide expert consultancy for our public cloud SAP FICO implementations, helping clients optimize their financial processes, including cost management and treasury operations. Your contributions will be critical in ensuring successful project completion and client satisfaction.
Key Responsibilities:
Analyze client requirements related to SAP FICO, specifically in Costing and Treasury, and develop tailored solutions.
Configure and implement SAP FICO functionality in the public cloud environment.
Collaborate with cross-functional teams to integrate costing and treasury processes with other SAP modules.
Conduct workshops and training sessions to enhance clients' understanding of SAP FICO capabilities.
Support data migration and perform system testing to ensure successful project execution.
Provide ongoing support post-implementation, addressing any issues and optimizing system performance.
Stay abreast of the latest updates in SAP FICO and related cloud technologies.
Requirements
Requirements:
Bachelor's degree in Finance, Accounting, Information Technology, or a related field.
A minimum of 5 years of experience working as an SAP FICO Consultant, with specific expertise in Costing and Treasury.
Experience with SAP S/4HANA Cloud or SAP Public Cloud implementations is highly desirable.
Strong understanding of financial processes and regulations within the context of costing and treasury management.
Excellent analytical and problem-solving skills to address complex financial scenarios.
Strong communication and collaboration abilities to work effectively with clients and teams.
SAP certifications in FICO modules (e.g., SAP Certified Application Associate in Financial Accounting) are a plus.
Ability to work independently and manage time effectively while supporting multiple tasks.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
УдалённоRiyadh, Saudi Arabia; Cairo, Egypt; Amman, Jordan; Pakistan; India
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:
Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.
This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.
Responsibilities:
Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
Add new capabilities to the training codebase, such as long context support or novel architectures
Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned
You May Be a Good Fit If You:
Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
Excel at debugging complex, ambiguous problems across multiple layers of the stack
Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
Are passionate about the work itself and want to refine your craft as a research engineer
Care about the societal impacts of AI and responsible scaling
Strong Candidates May Also Have:
Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
Published research on model training, scaling laws, or ML systems
Experience with production ML systems, observability tools, or evaluation infrastructure
Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence
What Makes This Role Unique:
This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.
However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.
We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.
Location:
This role requires working in-office 5 days per week in London.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£260,000
—
£630,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.
This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.
Responsibilities:
Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
Add new capabilities to the training codebase, such as long context support or novel architectures
Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned
You May Be a Good Fit If You:
Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
Excel at debugging complex, ambiguous problems across multiple layers of the stack
Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
Are passionate about the work itself and want to refine your craft as a research engineer
Care about the societal impacts of AI and responsible scaling
Strong Candidates May Also Have:
Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
Published research on model training, scaling laws, or ML systems
Experience with production ML systems, observability tools, or evaluation infrastructure
Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence
What Makes This Role Unique:
This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.
However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.
We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.
Location:
This role requires working in-office 5 days per week in San Francisco.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
As a MidMarket Account Executive, you will be a key member of the team leading the growth of our new business. We’re building a world-class sales organization, and the road ahead is going to be very exciting.
This is a seat at the centre of the biggest shift selling has seen in decades. You'll be selling AI agents to companies rethinking how their entire customer experience works, which means the conversations are strategic, technical and genuinely interesting. You'll also be using AI every day to run your own territory, from qualification to research to how you read a deal, so you're not just talking about the technology, you're operating on it. As a rapidly expanding business, there is a high degree of opportunity for progression, creativity, and ownership.
What will I be doing?
Evangelize AI transformation by spearheading the growth and adoption of Fin across your given territory
With access to the best internal AI tooling and enablement the market, maintain category leading and differentiating knowledge of AI as the category evolves
Manage the full sales cycle, from prospecting to close, through a highly consultative sales approach
Regardless of your segment, manage a varying volume complex 6 figure new business deals (at Fin, large and xl deals exist in every segment)
Articulate Fin's value and differentiation using the Command of the Message framework / MEDDPICC. If this is new to you, you will be trained on this leading sales methodology
Learn from sales leaders how to drive true control of your business; from QBR, territory planning and weekly / monthly forecasting.
Partner with Sales Leaders, Sales Engineers and the wider solutions team to win flagship logos in the market
Represent the voice of the customer to cross-functional partners, including R&D, Product, and Marketing
What skills do I need?
4+ years experience as an Account Executive
2+ years of SaaS experience selling similar products
Experience meeting and exceeding quota in a closing role, with a track record of selling SaaS or DBaaS
Experience, passion and success in outbound prospecting
Strong sales acumen and a general interest in the businesses you work with
Experience selling products with technical complexity or thorough implementation (bonus to have)
AI fluent and/or deep interest in AI tooling
Comfortable and energized operating and problem-solving in a fast-moving organization, working inbound and outbound opportunities across a range of industries and company sizes
Exhibits a growth mindset, intellectual curiosity, and ambition
*
Proof of eligibility to work in the United States is required.
The OTE range for candidates within the San Francisco Bay Area is $226,100 - $270,040. Actual OTE pay will depend on a variety of factors such as education, skills, experience, location, etc. The OTE pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Burundi
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Senior Global Health Security (GHS) and Infectious Disease (ID) Advisor will support the MOH Emergency Operations Center (EOC or COUSP in French) and NACP (National AIDS Control Program) in carrying out life-saving humanitarian assistance (LHA) in full alignment with the new Presidential Executive Order (EO) directives. The primary focus of the Advisor will be technical support with a special emphasis on preventing, detecting, and responding to infectious disease threats which impact public health. The Advisor will also provide support for the National HIV response to improve capacity for PEPFAR transition.
The Senior GHS and ID Advisor will support the appropriate multi-sectoral Government Departments and Agencies - such as the Ministry of Health, Agriculture, and Environment- for the effective adoption and implementation of life saving interventions focusing on preventing, detecting and responding to infectious disease threats with public health potential, such as zoonotic diseases. The Senior GHS & Infectious Disease Advisor will identify programmatic bottlenecks and facilitate solutions through coordinated technical support and facilitation of effort through the GHS projects, Pandemic Fund and the Global Fund. The Senior GHS and ID Advisor will be based within the EOC and will also work with the NACP. The Advisor will receive direction from the Director of the EOC and as needed, from the NACP Director, who will serve as the onsite Manager/Supervisor. Familiarity with Department of State/USG programming and C/AOR experience are highly desirable as the Advisor is expected to support the implementation of the Department of State GHS and HIV portfolio. French and English fluency are required for this assignment. The Advisor will report to the U.S. Department of State on a weekly and monthly basis.
Responsibilities
Support multisectoral ministries in effective delivery of life-saving humanitarian assistance (LHA) through utilization of domestic and donors’ (e.g. the Pandemic Fund, Global Fund when relevant such as COVID-19 response funds).
Assist the relevant ministries with effective delivery of LHA GHS services, including but not limited:
community-based active surveillance,
systems capacity for detecting priority diseases/threats,
data systems for monitoring, analyzing, and reporting on threats,
infection prevention and control (IPC), including commodities and WASH in healthcare facilities,
case management; and Emergency Management including Emergency Operating Centers (EOC) and Point of Entry Screening,
Risk Communication and Community Engagement,
Emergency outbreak response.
Provide technical support and actively engage with field work to implement programmatic and response interventions at national and sub-national levels.
Assist in monitoring the progress of GHS program implementation and provide recommendations for improvements of service delivery.
If relevant for the country, review and analyze performance reports submitted to the Pandemic Fund, Global Fund (GF), and other partners.
Help organize regular discussions among the multisectoral stakeholders and partners to ensure alignment of technical approaches in the respective GHS portfolio.
Provide support to the appropriate multisectoral ministries in identification of performance gaps, potential barriers and bottlenecks, and facilitate consensus on targeted interventions to improve performance on key indicators attributable to:
reduction in incidence and mortality for epidemic and pandemic prone diseases;
strengthening systems to prevent, detect, and respond to infectious disease threats;
rapid and effective responses to infectious disease outbreaks which are threats for public health.
Support the implementation and expansion of best practices in GHS and outbreak response nationwide.
Support MOH and other relevant Ministries in routine review of service delivery processes and outcomes.
Promote the dissemination of best practices and effective models nationwide.
Promote prioritized interventions in effective community-based active surveillance, strengthening systems capacity for detecting priority diseases/threats, and data systems for monitoring, analyzing, and reporting on threats;
Support of the adoption of infection prevention and control (IPC), including commodities and WASH in healthcare facilities; case management;
Support and strengthen Emergency Management including Emergency Operating Centers (EOC or COUSP in French) and Point of Entry Screening; Risk communication.
Support the relevant Ministries to rapidly and accurately report infectious diseases threats to the relevant, domestic and international system– such as the International Health Regulations (IHR) and World Animal Health Information System (WAHIS) for quick responses to pandemic threats.
Assist the relevant multisectoral Ministries with emergency outbreak responses as needed.
Assist the relevant multisectoral Ministries to achieve the relevant GHS related targets including the Joint External Evaluation (JEE); IHR States Parties Self-Assessment (SPAR); and the Pandemic Fund Framework which includes reporting on the 7-1-7 target (7 days to detect, 1 day to report, 7 days to complete the initial response)
Assist and provide information to the Department of State to prepare U.S. Government workplans and reports.
Support the relevant Ministries in effective utilization of Pandemic Fund grants; other donors’ resources, and emergency outbreak responses efforts.
Provide technical support to develop Pandemic Fund grant applications and support grant implementation review to ensure effective grant implementation and avoid duplication with US Government funded projects.
Consult with relevant stakeholders on required technical assistance.
Assist in monitoring the progress of grant implementation.
Review and analyze performance reports submitted to the Pandemic Fund and other partners.
Help organize regular discussions among the relevant multisectoral stakeholders, Ministries, and donors, and DOS to ensure alignment of technical approaches in the respective GHS portfolios.
Support emergency outbreak response including assisting with mobilizing resources, coordination of efforts, and technical support for efforts to contain and respond to the outbreak.
Support the National AIDS Control Program (NACP or PNLP in French and other stakeholders) to improve the Government of Burundi’s capacity for PEPFAR transition.
Provide technical support for the district oversight approach to improve the MOH’s capacity to oversee and delivery essential HIV services to reach and maintain HIV epidemic control
Provide technical support for streamlining of health systems approaches and strategies (e.g. laboratory, reporting, supervision and training) in the context of reduced resources and preparation for PEPFAR transition.
Consult with relevant stakeholders on required technical assistance.
Communications:
Regular conference calls with multisectoral stakeholders, US Embassy and DOS/Washington to review progress, discuss activities and address emerging issues.
The Senior GHS and ID Technical Advisor should provide information and avail him/herself for calls/meetings with the US Embassy as requested.
The Advisor will provide monthly reports to US Embassy/U.S. Department of State
REPORTING:
The Senior Advisor will provide a detailed monthly report to the U.S. Department of State, submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to the U.S. Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week.
Qualifications
Advanced degree (MPH, MD, PhD, DVM, or equivalent) in public health, epidemiology, medicine, or a related field.
Minimum of 7 years of technical and programmatic experience in global health security and infectious diseases.
Demonstrated understanding of USG program implementation, USG interagency coordination, and donor landscape.
Knowledge of the host country and government institutions and bureaucratic processes, policies, and regulations. This entails high-level knowledge of host government laws, policies, procedures, and institutional doctrines.
Knowledge of research and analysis techniques to successfully study complex subjects and issues related to assigned program area.
Familiarity with international frameworks such as IHR 2005, JEE, SPAR, UNAIDS and HIV epidemic control metrics and USG’s LHA guidance.
Demonstrated experience working collaboratively across government ministries, donors, and implementing partners.
Strong written and verbal communication skills in English and French.
Preferred Qualifications
Previous experience with USG-funded programs.
Experience using digital platforms for surveillance, health information management, and emergency coordination.
Knowledge of the One Health approach and integration of human, animal, and environmental health efforts.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
Play an active role in hiring, mentoring and career development of other engineers
Raise the bar for technical standards, performance, reliability, and operational excellence
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research - Deeply understand the problem area
Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need?
5-8 years applied ML experience
Previous background in a senior/staff role (data science, software development or academic)
Significant, demonstrated impact that your work has had on the product and/or the teams
Strong programming skills
Experience as the primary technical leader for a team
Strong communication skills, both within engineering teams and across disciplines.
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills
Bonus skills & attributes
Track record shipping ML products
PhD or other experience in a research environment
Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
Strong stats or math background
Visualization, data skills, SQL, matplotlib, etc.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.
What will I be doing?
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems
Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research
Deeply understand the problem area
Research and identify the right algorithms and tools
Being pragmatic, but innovating right to the cutting-edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products
What skills might I need?
Broad applied machine learning knowledge
3-5 years applied ML experience
Practical stats knowledge (experiment design, dealing with confounding etc)
Intermediate programming skills
Strong communication skills, both within engineering teams and across disciplines.
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g. MSc)
Scientific thinking skills
Bonus skills & attributes
Track record shipping ML products
PhD or other experience in a research environment
Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
Strong stats or math background
Visualization, data skills, SQL, matplotlib, etc.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Home based - Worldwide
Open source software is the new default in the enterprise, and Canonical is the new challenger to major enterprise software vendors.
We are profitable and growing our global enterprise sales organisation. We are hiring
regional sales team managers
in Europe, Middle East, India, Asia, ANZ, Africa, Latin America, Central America and North America, each of whom will lead a team of five to ten enterprise sales representatives.
We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave.
Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application.
Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and over $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company.
We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence.
In building our sales team, we look for five things:
Empathy for the customer - a real understanding of customer needs, industry-specific challenges, and a desire to help customers solve their business problems
High intellect - the ability to learn quickly, understand very complex subjects, and communicate clearly to build trust and confidence
Passion for technology - a fascination with the state of the art from brilliant people solving hard problems, and fierce competition for large prizes
Teamwork - a willingness to help others, to collaborate well with people from different disciplines, and to balance personal and team ambitions
Energy - the drive to motivate oneself and others to achieve the best result for the team and our customers
Ubuntu is already very widely adopted which gives us a credible basis for conversations in the market. Nevertheless, it requires real work for sales professionals to build on that adoption to create trusted and profitable commercial relationships with the enterprises in their territory. Our product managers and marketing teams run campaigns to generate awareness, engagement and leads, but you will need to go beyond managing inbound interest to develop the potential of your territory. You will need judgement as to which industries and companies are ready to go deeper with open source and Canonical, and energy to develop relationships in advance of proven interest. We expect professional practice, territory and account planning, as well as clear, complete and continuous reporting on pipeline status and activity, using standard professional tools.
The successful candidate will carry an annual team bookings quota within their territory. They should be able to travel regionally for client engagements or, industry conferences, and internationally for company events twice a year. They will be expected to demonstrate professionalism and effectiveness in managing their team. They will need to coach, mentor and lead by example. Their sales representatives are expected to prospect accounts for new business, maintain and develop existing relationships, and work with colleagues and partners on account strategy. They must be comfortable selling enterprise software, open source, cloud, virtualization, container technologies and technical software solutions to senior levels of the enterprise.
Location:
We are expanding our sales organisation globally and have open sales team manager roles in every region.
What your day will look like
Build and execute a territory plan to prioritize outreach and prospecting
Allocate portions of territory and accounts to sales representatives on your team
Identify and prioritise new logo accounts in your territory for account-based marketing and prospecting
Ensure that sales representatives have high quality account plans for existing accounts and priority prospects
Monitor new pipeline development by your team, through outreach, prospecting, local marketing, and industry events
Support contract closure to meet and exceed quarterly and annual bookings targets
Be mindful and proactive in achieving tactical and strategic objectives
Work with customer success to identify growth opportunities
Ensure your team maintain accurate pipeline data and forecasts within Salesforce
Represent the company, its solutions and software
What we are looking for in you
Bachelor's level degree, preferably in engineering or computer science
Leadership and management skill
Experience of open source technology and solutions
Detail oriented with effective planning, organisation and reporting skill
Experience in enterprise software or technology sales planning and execution
Track record of achievement in sales targets and new account wins
Self-discipline and motivation to be successful in a distributed team
Professional written and spoken English, as well as any language that may be appropriate for your target market
Ability to travel for customer engagements, industry events and company events
Additional skills of interest
Specific vertical experience, in particular finance, telco, health, energy, public sector, tech
Experience speaking at conferences or industry events
What we offer you
We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team meetings in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Program
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a fully distributed company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
The Role
Location: Hong Kong
Type: Part Time
Hours: Less than 18 hour every week. Availability to work in the office is required.
Reports to: Associate Director, QA
Job Description
We're on the hunt for enthusiastic Part-Time Game Testers to help us polish gameplay, squash bugs, and ensure our titles deliver unforgettable experiences.
Key Responsibilities
Playtest unreleased games in the Playground
Identify bugs, glitches, and gameplay issues
Provide clear, constructive feedback on user experience, design, and performance
Collaborate with QA engineers to improve game quality
Key Qualifications
Strong interest in gaming across genres
Excellent observational and communication skills
Ability to follow detailed instructions and meet deadlines
Sport player is a big advantage
Willing to handle repetitive tasks & physical exercises
Basic computer skills (e.g. operate MAC & Android operating systems/ Google Sheet, etc)
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
seniorDublin, Ireland; London, England
seniorMontevideo
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.
