Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.
WHAT YOU'LL DO
- Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces.
- Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry.
- Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time.
- Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training.
- Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories.
- Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute.
- Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap.
WHAT WE'RE LOOKING FOR
- Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion.
- Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments.
- Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models.
- Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets.
- Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code.
- Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics.
- A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: London
Workplace: Hybrid
Why Technology at loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The impact you'll have:
As a Principal Engineer in the Boost team, you'll be part of a group of principal engineers who champion technical excellence. The team acts as an enabling function, not a delivery arm. You will embed in other teams to help them improve and work faster. You will be hands-on, leading by example, and coaching others to drive technical excellence and innovation across the company. Your success will be measured by how you help others succeed.
Your responsibilities include:
- Own the team's functional KPIs, defining the measurable outcomes that show our impact.
- Help mission teams deliver faster, safer solutions by solving complex problems and training others to do the same.
- Champion AI adoption, applying it to both engineering processes and solutions.
- Coach our engineers, guiding their growth.
- Build tools to make the Boost team more effective and improve platform governance.
We are looking for a candidate with strong front-end skills. You will work across the various tech systems within our platform and be confident in your ability to quickly learn new technologies. We value an agile mindset, and a proven track record of delivery with teams.
For a better understanding of our work, refer to some of our blog posts:
- How loveholidays is solving the technical excellence paradox https://tech.loveholidays.com/how-loveholidays-is-solving-the-technical-excellence-paradox-933987956758
- Your AI Hates Your Prompts (And So Do You) https://tech.loveholidays.com/your-ai-hates-your-prompts-and-so-do-you-c05f59337b13
- Stop Chasing Ghost Errors: A Systematic Approach to Frontend Error Monitoring That Actually Works https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc
- Does website speed contribute to customers booking holidays online? https://tech.loveholidays.com/does-website-speed-contribute-to-customers-booking-holidays-online-f17bd696bc30
- Creating a Zero Surprises Culture https://tech.loveholidays.com/from-firefighting-to-foresight-a-new-culture-of-software-reliability-affcf565f9b3
Or our open source contributions:
- github.com/loveholidays/ripley http://github.com/loveholidays/ripley
- github.com/loveholidays/phrasebook http://github.com/loveholidays/phrasebook
- github.com/loveholidays/po-test http://github.com/loveholidays/po-test
- github.com/loveholidays/mcp-html-share http://github.com/loveholidays/mcp-html-share
As part of our tech culture, we continuously improve our time to deliver, reduce errors, and generally leave things better than we found them.
Your day to day:
You will:
- Embed in mission teams to solve hard tech problems, coaching engineers hands-on to instill our core engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9.
- Drive initiatives to apply AI to build better solutions and improve our engineering process.
- Build tooling and processes to accelerate and enable our platform development.
- Design and oversee impactful systems that run reliably at cloud scale.
- Write and speak about our tech work to raise our engineering profile.
Your skillset:
- Experience with AI-powered feature development and leveraging AI tooling for software delivery, with enthusiasm for transforming how we build and deliver software.
- Demonstrable history of working hands-on with engineering teams to solve complex technical challenges, building team capabilities and promoting sustainable practices.
- Seasoned facilitator who excels at pairing with engineers, leading technical discussions, and helping teams navigate architectural decisions through practical, hands-on collaboration.
- Ability to identify and scale successful technical patterns while connecting technical excellence to measurable business outcomes.
- A track record of building and optimising scalable, high-performance websites.
Perks of joining us:
- Company pension contributions at 5%.
- Individualised training budget for you to learn on the job and level yourself up.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
- Ability to buy and sell annual leave.
- Cycle to work scheme, season ticket loan and eye care vouchers.
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
The interview journey:
1. 1st stage interview with a member of our Talent Team
2. Introduction to loveholidays Engineering with our VP of Engineering (60 mins)
3. Presentation/Case Study with our VP and CTO (60 mins)
4. Technical interview with 2 of our Principal or Heads of Engineering (60 mins)
Location: European Union
Workplace: Remote
About the Role
We’re looking for a Senior Software Engineer to join a newly forming team that will own one of the most specialised and business-critical domains in our technology landscape - Game Engine.
This role sits at the intersection of engineering, game mathematics, platform, and compliance. You’ll work on the tools, frameworks, and services that enable our mathematicians and game teams to build, validate, run, and monitor game logic in production.
This position is about deep ownership of a very specific technical domain: game engines, mathematical packages, simulation data, RTP monitoring, round details, and integrations with games developed both internally and by external studios.
You’ll be part of a, experienced Core team with a high level of responsibility. The impact of this work is direct: incorrect game logic, missing round details, or inaccurate RTP monitoring can affect game delivery timelines, business performance, and regulatory readiness.
If you enjoy working close to complex domain logic, reviewing technical implementations, understanding how games work under the hood, and owning systems where precision matters - this role will feel like home.
Key Responsibilities
- Own, maintain, and evolve Playson’s Game Engine.
- Work on internal frameworks and libraries used by mathematicians to implement game logic and mathematical packages.
- Review and validate code written by mathematicians, ensuring quality, correctness, maintainability, and proper usage of internal frameworks.
- Contribute to the development and support of game engines used to run mathematical logic within our platform.
- Support integrations with external game studios by helping build wrappers and bridges between third-party game implementations and Playson’s platform.
- Work with data structures and protocols that connect game logic with frontend and backend systems.
- Contribute to RTP monitoring processes, including validation of production transaction data against simulation data and expected mathematical behaviour.
- Support and evolve tools used for mathematical review, simulations, data files, monitoring, and alerting.
- Implement and maintain round details logic required for regulated markets, ensuring that detailed game round information can be correctly provided to partners and regulators.
- Collaborate closely with mathematicians, backend engineers, platform teams, compliance stakeholders, and product representatives.
- Participate in code reviews and technical discussions to ensure a high engineering standard across the Game Engine domain.
- Investigate issues related to game logic, mathematical validation, monitoring, and engine behaviour.
- Participate in minimal on-call responsibilities related to the systems owned by the team, mainly around monitoring, alerts, and domain-specific incidents.
- Take ownership of a highly specialised area where quality, accuracy, and attention to detail are essential.
Requirements
- Strong software engineering experience, ideally in backend, game engine, gaming, gambling, betting, or simulation-heavy environments.
- Strong background in C++ and experience working with legacy C++ systems.
- Good understanding of software architecture, code quality, testing, debugging, and maintainability.
- Experience with mathematical models, probability-based systems, simulations, random generators, or RTP-related logic.
- Experience reviewing complex code and providing clear technical feedback.
- Ability to understand domain-specific logic and work with technical systems where business rules, mathematics, and engineering are closely connected.
- Strong problem-solving skills and ability to work with complex, non-standard technical challenges.
- Experience working with production systems where reliability, accuracy, and correctness are critical.
- Understanding of backend systems, APIs, data flows, and service-to-service communication.
- Ability to collaborate closely with non-engineering technical experts, especially mathematicians or domain specialists.
- Strong ownership mindset and willingness to become a key expert in a narrow but highly important technical domain.
- Product-oriented thinking, with an understanding that games are the core product and engineering decisions directly affect delivery, quality, and compliance.
- English communication skills sufficient for working in an international environment.
Nice to Have
- Experience in iGaming, gambling, betting, game development, or casino games.
- Experience working with game engines, mathematical engines, simulation tools, or game logic frameworks.
- Experience with Node.js/TypeScript.
- Understanding of regulated markets and compliance requirements in iGaming.
- Experience with ClickHouse or other analytical/columnar databases.
- Experience with monitoring, alerting, and production diagnostics.
- Experience with AI-assisted code review or automated validation tools.
- Knowledge of microservices architecture and distributed systems.
- Familiarity with Kafka, gRPC, Kubernetes, or AWS.
- Experience integrating third-party games, external studio products, or wrapper-based solutions.
- Ukrainian language skills would be a plus.
What We Offer
- Competitive Salary
- Quarterly Bonuses
- Unlimited Paid Time Off
- Unlimited Paid Sick Leave
- Remote & Flexible Working
- Private Medical Insurance
- Financial Support for Life Events
- Professional Development Budget
- International Exposure
- Regular Company Events
*Benefits may vary depending on location and contractual agreement
Recruitment Process
- HR interview
- Technical interview (with Live coding)
- Final interview
Join us today!
By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enterprise Account Executive for Digital Native Business based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Japan's internet services, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations.
Key responsibilities
Own and exceed revenue targets by winning net-new logos across Japan's digital native companies, including internet services, gaming, e-commerce, SaaS, fintech, and media
Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts
Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation
Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on
Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models
Preferred qualifications
8+ years of sales experience in Japan with a clear track record as a hunter: consistently winning net-new logos and generating the majority of your own pipeline through outbound prospecting
Experience selling to digital native, internet, or high-growth technology companies, and comfort engaging technical buyers such as engineering and product leaders, not just business stakeholders
A track record of opening greenfield territories or segments with little existing brand presence, building pipeline and closing revenue from zero
Proven experience exceeding revenue targets driven primarily by new business, with the ability to manage high-velocity cycles alongside larger strategic deals
Strong commercial instincts for usage-based and consumption models, and the ability to connect product adoption to revenue growth
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments
A strategic, analytical approach to territory and account prioritization combined with high-energy, persistent execution
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
Excellent communication skills in both Japanese and English
What we offer
Competitive base salary and commission structure commensurate with experience
Equity participation
Comprehensive benefits package
Hybrid work model with flexibility
Access to cutting-edge AI technology and world-class research team
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: Zamboanga City, Philippines
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: San Fernando, Philippines
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: Puerto Princesa City, Philippines
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: Paris, Remote
Workplace: remote
As a Key Account Manager Pool (KAM Pool), you play a strategic role in scaling 360Learning’s customer growth and retention engine. You will join a team focused on maximizing renewal and upsell opportunities across a large portfolio of existing customers through automation, data-driven prioritization, and scalable account management strategies.
You will manage a high-volume portfolio of customers ranging from 100 to 2,500 employees, with a focus on identifying growth opportunities, driving renewals, and increasing customer engagement at scale through automatization actions.
At 360Learning, the KAM Pool role is a unique opportunity to also shape the overall KAM team. It combines account management, revenue generation, and operational excellence. Your mission is to build scalable motions that accelerate expansion opportunities while ensuring customers continue to realize value from the platform. Therefore, your successful automatization processes will also help shape globally the entire KAM team.
As a transversal role, you will work closely with Client Success Partners, Revenue Operations, Marketing, and internal experts (digital pedagogy, platform structuring, IT) to deploy automated engagement strategies, optimize renewal processes, and generate upsell opportunities efficiently across your portfolio.
We are eager to retain the best talent in our teams, and we encourage internal mobility after 2–3 years of continuous success to build fulfilling career paths. This role offers strong growth opportunities toward strategic account management, revenue operations, or large account ownership positions.
Within 1 month, you will:
Become a Trello expert and get familiar with our product
Learn to navigate Convexity, our working environment
Meet the different teams at 360Learning
Understand our customer lifecycle and renewal processes
Within 3 months, you will:
Take ownership of you 150+ clients portfolio of existing customers
Segment and prioritize accounts using scalable tiering strategies
Identify automation opportunities to drive renewals and upsells
Work closely with Client Success Partners to collect customer insights and engagement signals
Launch automated campaigns and structured outreach sequences
Prepare scalable account review frameworks to identify growth opportunities
Contribute to the generation of renewal and expansion pipeline across your portfolio
Conduct presentations and demonstrations of 360Learning when required
Within 6 months, you will:
Optimize renewal and upsell workflows through process improvements and automation
Ensure accurate reporting and forecasting with your coach and Revenue teams
Analyze customer usage data to proactively identify expansion opportunities and churn risks
Build repeatable playbooks to improve portfolio performance at scale
Consistently contribute to ARR growth targets through scalable account management initiatives
Lead business negotiations for selected opportunities
Within 12 months, you will:
Own and optimize the renewal strategy for your portfolio
Drive upsell generation through automated and data-driven engagement plans
Manage customer business relationships at scale while maintaining a high-quality customer experience
Continuously improve operational efficiency and account coverage models.
Become a key contributor to the company’s retention and expansion strategy
Exceed your targets and contribute to the evolution of scalable customer growth strategies at 360Learning.
The Skill Set:
2+ years of experience in an Account Manager, BDR or sales-related function (revenue generation with a portfolio of clients)
Previous experiences working in the SaaS industry
Experience in a fast-growing environment such as start-up / scale-up, which requires agility and responsiveness
Active listening skills and a team player mindset
Excellent written and verbal communication skills
Native French and fluent English (B2+) proficiency
Fluent English (US/UK) / B2 level or equivalent (FR)
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
What we offer:
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including
Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity.
Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
The interview process:
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with our the KAM Mid Market Coach
Case Study Meeting with our KAM Mid Market Coach and our VP Mid Market EMEA
Clarification Meeting with our VP Mid Market EMEA
Culture Fit Meeting with our Chief Revenue Officer
Ref Checks
Offer!
⇾ Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Amsterdam, Netherlands
We are looking for a Senior QA Engineer who will contribute to the entire lifecycle of HTML5 casual game development - from inception to live maintenance. As a key player, you'll champion the delivery of top-notch products, becoming an integral part of an agile, multidisciplinary, and creatively charged game development team.
About CoolGames
At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly.
CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries headquartered in The Netherlands.
With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams.
If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team - CoolGames is the right place for you.
About the role
As a QA Engineer at CoolGames, you take responsibility for delivering high quality products. Your teamwork will be fundamental to the success of the products you work on. During a workday you might be testing, building and maintaining automated tests to speed up regression, reviewing requirements, drafting test cases or collaborating with teammates to figure out tricky bugs among other things.
Your responsibilities will include:
Testing games manually (black box testing);
Identify and track project issues;
Pay attention to user experience, gameplay mechanics, graphics, and audio elements to ensure a seamless gaming experience;
Participate in the planning and execution of QA activities throughout all phases of the sprint lifecycle;
Reviewing and analyzing game design documents and functional specifications;
Creating test documentation (test plans, traceability matrix, test cases, checklists, test reports);
Designing, implementing, and maintaining automated testing suites using tools like Playwright;
Facilitating smooth releases and collaboration with a team;
Provide feedback and suggestions to improve quality and game experience.
Requirements
About you
You like to troubleshoot technical problems and try to get to the root of why weird error messages come up. You are proactive and used to taking ownership and responsibility. You are not afraid of information analysis. You see yourself as a good team player.
Good written and verbal communications skills in English - ability to describe identified issues in a clear and concise manner;
At least 5 years of relevant experience in software testing (gamedev is a strong plus);
A methodical, scientific and analytical mindset;
Knowledgeable about SDLC and STLC;
Expert in Test Design techniques and their applicability on practice;
Strong Knowledge about Testing types and levels and their applicability;
Experience with Agile development methodologies, processes and tools;
Experience with multiple platforms (mobile, desktop, web, social platforms);
Experience with Jira or similar software;
Experience with TestRail or similar software;
Proven Flexibility to adapt to changes in project requirements;
Good organizational skills;
Work your shifts (mostly) in concurrence with the rest of the team to ensure smooth collaboration.
Will be a strong plus:
Certification like ISTQB;
Test automation experience: ability to write, review, and debug end-to-end automated tests;
Proficiency with at least one modern programming language with a preference for JavaScript/TypeScript;
Familiarity with Playwright/Cypress/WebdriverIO or another web test automation tool;
Experience with version control and CI integration (Jenkins/GitHub/GitLab).
Benefits
What we can offer you:
An international team of 50+ professionals from almost 20 different countries;
Work closely with some of the biggest (upcoming) game platforms in the world on high-quality casual games that are played by millions of gamers;
Competitive remuneration;
A flexible remote working environment;
A very open, informal and international company culture where everyone can make a difference.
Location: Bulgaria; Romania; North Macedonia; United Kingdom; Croatia; Greece
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
About the company
Our client is a high-growth sales acceleration partner that empowers ambitious B2B brands across the UK, Europe, and North America. Specializing in outsourced sales development and lead generation, the team focuses on navigating complex sales cycles for global clients in sectors such as FinTech, Healthcare, and Manufacturing. By combining a consultative, question-based methodology with cutting-edge sales enablement technology, they transform stagnant pipelines into sustainable revenue streams through high-quality prospect engagement and account-based targeting.
The company delivers a start-up energy backed by enterprise-level maturity, prioritizing a culture of continuous professional development and data-driven execution. With a focus on performance-based results and "Selling at a Higher Level," the team offers an impactful environment where innovation meets human-centric sales strategy. Candidates will join a collaborative workforce dedicated to driving measurable ROI for world-class brands while mastering a modern tech stack and advanced sales playbooks.
Job Summary
We are seeking a high-energy, fluent German speaker to join a well-established global B2B sales organization. In this role, you will act as a pivotal link between the team and its high-value clients, specifically focusing on the DACH region. This is a unique hybrid position that blends proactive sales development with sophisticated account management. You will be responsible for driving growth within an existing portfolio and ensuring a world-class service experience for clients within the engineering and SaaS sectors. If you are a natural influencer with a "can-do" attitude looking for a fast-paced environment with uncapped earning potential, we want to hear from you.
Key Responsibilities
Proactively identify and qualify upsell opportunities within a dedicated client base to drive revenue growth.
Manage end-to-end client relationships, ensuring a high level of service and satisfaction.
Execute multi-channel outreach strategies using industry-leading tools like Salesloft and Salesforce.
Act as a subject matter expert for clients, particularly those within the engineering and technology industries.
Maintain a high volume of activity while ensuring meticulous data accuracy and pipeline management.
Collaborate with the wider sales team to refine processes and exceed collective KPIs.
Requirements
Native-level fluency in German and professional proficiency in English.
Based in the United Kingdom or Europe with the ability to work UK/CET timezones.
Proven experience in a sales, account management, or delivery-focused role.
Strong organizational skills and the ability to multitask in a fast-moving, structured environment.
Exceptional communication skills with a natural ability to influence stakeholders.
Immediate availability to start (Target date: June 3rd).
Prior experience in Sales Development (SDR/BDR) within the SaaS or Engineering sectors.
Technical literacy or a background in engineering-related sales.
Previous experience in high-level customer service or client management.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
Location: General Santos City (Dadiangas), Philippines
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across North America (west coast only) and the UK — we also have offices in San Francisco, Seattle, and London.
Japan has been one of Runway’s fastest-growing markets, even without a major commercial presence – it's our third-largest market among both enterprise and self-serve customers, and the fastest-growing self-serve market in Asia. In addition to millions of individual users, we've seen 300% growth in enterprise customers in the past 12 months, and Japan has driven a third of our sales volume in Asia overall.
As a result, we are looking for a Creative Workflow Architect to join our fast growing creative team. You’ll work closely with our Sales and Account Management teams to convey the value of Runway to Enterprise prospects and customers, specifically in the Japan market. As a user of Runway yourself and a content creator, you will handle pre and post-sale work, ensuring that customers are using Runway to it’s full potential, as well as any creative work in the product, inclusive of media content, presets, featured workflows, etc. You’ll also have a hand in any marketing sprints for model and feature releases. This role requires full professional bilingual fluency in Japanese and English.
Things are always moving quickly at Runway. We need team members with an agile and dynamic mentality who are comfortable with change and always willing to go above and beyond to ensure a job is done optimally.
WHAT YOU’LL DO
- Creatively push the models available on Runway further using workflows and custom pipelines
- Craft content and lead demonstrations to show Enterprise prospects and customers how to leverage and utilize Runway most strategically
- Partner with our Sales and Creative teams to provide guidance and training to Enterprise prospects and customers.
- Highlight and explain common use cases and workflows for Enterprise organizations
- Serve as the day-to-day product expert for both pre and post sales conversations; help businesses understand the potential of utilizing Runway in their creative pipeline
- Be a champion for our customers and work with our internal teams to translate customer feedback into product insights; liaise between customers and our internal teams in order to provide the best support and experience possible
WHAT YOU’LL NEED
- Full professional bilingual fluency in Japanese and English
- Experience & expertise creating content from end to end
- Experience working with Japanese enterprises a plus
- Passion for experimentation when it comes to content creation and creative workflows- you care more about “how we get there” than “the destination”
- Comfort working with creative tools in addition to Runway (Adobe, DaVinci Resolve etc), as well as an understanding of our technical and competitive landscape
- You love sharing and presenting the things you’ve built
- Ability to deliver complex information to customers in a clear and concise way
- Ability to thrive in a constantly changing and growing environment
- Excitement about AI and motivation to continuously learn more about this new and exciting space!
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution.
About the Impact
The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts.
We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you.
Responsibilities:
Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
Design and implement operational systems that translate research requirements into high-quality data pipelines
Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities
You may be a good fit if you:
Have 3+ years in operations, consulting, product management, or program management roles
Have exceptional project management skills with ability to handle multiple complex projects simultaneously
Have strong communication skills and can engage effectively with technical and non-technical stakeholders
Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
Are highly organized and can navigate ambiguity effectively
Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
Thrive in fast-paced research environments with shifting priorities
Are passionate about AI safety and understand the critical importance of high-quality data
Strong candidates may also have:
Experience with data collection, labeling, or annotation operations for AI/ML systems
Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
Background working with research teams at AI companies or research-oriented organizations
Experience managing vendor relationships or external contractors
Consulting background with experience translating complex requirements into deliverables
Track record of implementing process improvements or quality control systems at scale
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:
$270,000
—
$365,000 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: Cairo
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5,000 specialists.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission.
Key Responsibilities:
Develop and implement a strategic business development plan to sell Ajax’s newly launched EN54 line for commercial fire applications in Egypt.
Identify, evaluate, and onboard new Fire Installers across the region, ensuring coverage in key markets and verticals.
Align with Consultants, Architects, Design companies in specifying ajax’s products.
Develop and maintain relationships with key clients, partners, and stakeholders.
Analyze market data to develop and execute effective sales strategies.
Prepare and deliver presentations to potential clients and partners.
Negotiate contracts and agreements with clients and partners.
Manage and prioritize multiple projects and initiatives simultaneously.
Achievement of Sales Targets: Consistently meet or exceed assigned sales targets and key performance indicators (KPIs) on a quarterly and annual basis.
Qualifications:
5+ years of experience in
fire and life safety
or a similar industry in Egypt.
Strong technical knowledge of fire alarm certifications, standards, and market requirements.
Well connected with top fire alarm Installers, Consultants, Architects and Design companies.
Proven track record in leading the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals.
Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level.
Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions.
Ability to manage and prioritize multiple projects and tasks simultaneously.
We offer:
A truly innovative product that sells itself.
Greenfield territory.
A zero bullshit culture.
A strong and well-coordinated team of professionals.
Ambitious tasks and challenges.
Being a part of the emerging leadership in the security space.
Join Ajax Systems!
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.
We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development.
As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks.
This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you.
Key Responsibilities
Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review
Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis
Work closely with product and design teams to scope, prototype, and ship features for life sciences users
Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements
Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses
Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement
Minimum Qualifications
Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down
Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end
Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures)
A track record of shipping computational tools or pipelines that biologists actually use
Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment
Able to work independently while collaborating tightly with research, product, and domain-expert teams
Results-oriented with a bias toward rapid iteration and measurable impact
Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards
Preferred Qualifications
5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience
Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development
Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis
Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.)
Experience building agentic systems or tool-use environments
Published research in ML for biology, or open-source contributions to computational biology tools
Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model.
As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user.
This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work.
Key responsibilities
Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate
Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage
Partner with computer-use researchers
Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows
Instrument products and use usage data to drive prioritization and measure progress
Translate fuzzy user pain points into concrete, shippable features for knowledge workers
Minimum qualifications
Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company
Strong full-stack engineering skills, including production web frontend and backend development
Hands-on experience building with LLM APIs, prompting, or agent frameworks
A track record of shipping to external users and iterating based on their feedback
Preferred qualifications
Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer
Experience with browser automation, desktop automation, or robotic process automation systems
Experience building evals or quality harnesses for machine learning systems
Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics
Experience designing agent loops, tool integrations, or guardrails for LLM-based systems
Representative projects
Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate
Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 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: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.
You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.
Key responsibilities
Deep dive into user behavior data to provide insights on safety concerns
Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company
Minimum qualifications
Expertise in Python, SQL, and data visualization tools.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
A deep curiosity and energy for pulling the thread on hard questions.
Experience in turning open questions and data into concise and insightful analysis.
Highly effective written communication and presentation skills.
A passion for the company's mission of building helpful, honest, and harmless AI.
Preferred qualifications
8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
3+ years of experience deeply embedding in Product teams.
Experience working on safety, anti-abuse, integrity shaped problems.
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:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ГибридLondon
УдалённоseniorГеография найма не уточнена
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.
УдалённоBulgaria; Romania; North Macedonia; United Kingdom; Croatia; Greece; Based in the United Kingdom or Europe with the ability to work UK/CET timezones
УдалённоСША; Lastly, the provided range is the expected salary for candidates in the U.S
