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Location: Armenia; Moldova Intetics Inc. is a global technology company providing custom software application development, dedicated team building, software quality assessment, and all-things-digital solutions, is looking for an Incident Editorial Specialist to join our team. Join our night-shift editorial team and work on editing real-time road incident data for a global mapping platform. No previous experience is required. We provide comprehensive training. This is an excellent opportunity to start your career in IT and gain hands-on experience working on international projects. This is a full-time remote position (11:00-16:00 Kyiv time) You will work with English-language data, applying clear guidelines while maintaining accuracy and focus throughout night shifts. Requirements English proficiency at B1 level or higher (spoken English as well) Strong attention to detail , especially when working under time constraints Confident multitasking skills , including working with multiple browser tabs/windows and fast, accurate typing Punctuality, focus, and reliability are essential for successful night-shift work What you will do: Monitor and update information on road traffic incidents across assigned regions Work with real-time data from multiple sources Record key incident details , including location, direction of travel, and other relevant information Update incident records as conditions change Close incidents once they have been resolved and confirmed

Location: Remote - US About the Job: The Mid-Market Account Executive will drive LaunchDarkly's growth across a blended book of net-new and existing accounts. Acting as the "quarterback" for a defined book of business, you will develop and execute account strategies, run technical discovery and proof-of-concept cycles, and help customers successfully test, purchase, and adopt LaunchDarkly's platform. Responsibilities: Pipeline Generation: Qualify and convert inbound leads at a rapid pace while prospecting into ICP target accounts. Value Articulation: Articulate and sell the value of LaunchDarkly's platform subscriptions and usage-based pricing model. Technical Discovery: Prepare for and run discovery sessions with prospects to surface core use cases and align pricing to third-party architectures (AWS, Azure, GCP). Solution Demonstration: Customize and deliver demos with the Solutions Engineering team, and run proofs of concept for prospects. Account Expansion: Own, build, and develop relationships with existing customers, uncovering and developing new opportunities within the install base. Customer Success: Educate, evangelize, and guide customers through successful adoption, delivering their feedback back to Product and Engineering. Revenue Growth: Consistently hit revenue targets across both net-new and expansion motions. Collaboration: Work with your manager, Sales Engineers, and cross-functional teams to ensure seamless execution and customer success. Strategic Thinking & Execution: Design and execute account strategies that balance net-new acquisition with expansion of existing customers. Identify and capitalize on usage-based pricing signals and third-party architecture fit to prioritize opportunities. Adapt strategies as customer needs and market dynamics evolve, ensuring continuous growth and a competitive edge. Full-Cycle Sales Expertise: Proven track record managing a full sales cycle, from inbound qualification and prospecting through close and expansion. Deep understanding of usage-based pricing models and the ability to manage discovery, demo, and proof-of-concept stages. Skilled in selling to Engineering Leaders, Platform Teams, CTOs, CIOs, and other technical decision-makers. Customer-Centric Problem Solving: Assess customer pain points and design tailored solutions, including proofs of concept, that create measurable value. Build long-term relationships with existing customers, acting as a trusted advisor who drives product adoption. Overcome obstacles and find innovative ways to expand LaunchDarkly's footprint within an account. Independent Decision Making: Work autonomously with minimal day-to-day supervision, making sound decisions based on account signals and data. Take ownership of your book of business, managing both acquisition and expansion motions with confidence. Prioritize tasks and make decisions quickly, ensuring alignment with broader revenue goals. Analytical Skills & Data-Driven Insights: Gain and apply an understanding of third-party cloud architectures to accurately position and price the usage-based model. Evaluate account signals and customer data to prioritize the accounts most likely to convert or expand. Keep all data current in SFDC, Aviso, and Outreach, and use these tools to track and analyze performance. Negotiation & Deal Structuring: Negotiate platform subscription agreements that balance customer needs with company goals. Create mutually beneficial agreements that support long-term adoption and expansion. Handle objections, overcome resistance, and close deals in a competitive market. Communication & Influence: Exhibit strong verbal and written communication skills, with the ability to influence and persuade key stakeholders. Present solutions and negotiate with technical decision-makers, ensuring clear understanding and alignment. Communicate complex, usage-based pricing concepts concisely and compellingly to diverse audiences. Collaboration & Team Leadership: Collaborate effectively with your manager, Sales Engineering, Product, and Customer Success to align efforts and drive growth. Demonstrate leadership in managing internal resources, ensuring alignment with company goals. Motivate and influence team members across departments to achieve common objectives. Results-Driven Focus: Maintain a strong focus on achieving measurable outcomes across both new-logo and expansion revenue. Accurately forecast sales targets on a weekly, monthly, and quarterly basis. Take ownership for results, holding yourself accountable for hitting quota. Qualifications: 2+ years of full-cycle sales experience. Proven track record of hitting or exceeding quota. Exceptional written and spoken communicator. Highly organized and autonomous. Comfortable and energized operating in a fast-moving organization. Entrepreneurial and self-motivated. Enthusiastic about learning and growing at LaunchDarkly. Intellectually curious and ambitious. Knowledge or experience in the developer tool space a plus. Experience selling to mid-market companies a plus. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 136,000 - $187,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $1 22,000 - $168,000 ** Zone 3: All other US locations - $ 116,000 - $159,000 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Palo Alto, United States Vice President, Robot Learning Confidential | Early-Stage Robotics Startup | San Francisco Bay Area, CA About the Opportunity We're partnering with an ambitious early-stage robotics company building the next generation of humanoid telepresence systems for industrial work. The company's mission is to make dangerous, highly skilled physical work safer and more accessible by enabling expert operators to remotely control humanoid robots with real-time visual, auditory, and haptic feedback. These systems are deployed in complex environments including energy infrastructure, industrial facilities, manufacturing, and other hazardous settings. A core part of the long-term vision is transforming teleoperation data into increasingly autonomous robotic capabilities. Rather than treating teleoperation as a temporary solution, the company views it as the foundation for building high-quality robot learning systems based on real-world interaction, force feedback, and task execution. This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap. The Role We're seeking a Vice President of Robot Learning to lead the company's robot learning organization and own the roadmap from teleoperation data collection through to learned policies and increasing levels of autonomy. This is a highly technical leadership role for someone who enjoys building from first principles, working closely with hardware and software teams, and translating cutting-edge robotics research into production systems. You'll have the opportunity to shape both the technical direction and the team as the company scales. What You'll Do Own the robot learning strategy and technical roadmap. Build the data pipeline that transforms teleoperation sessions into high-quality training data. Develop learning systems for contact-rich robotic manipulation using real-world demonstrations. Design and deploy imitation learning, reinforcement learning, and policy optimization approaches for physical robots. Work closely with robotics, controls, perception, and hardware engineers to build an integrated robotic system. Lead the evolution from teleoperated workflows toward progressively autonomous capabilities. Build, mentor, and grow a world-class robot learning organization. Establish technical direction, research priorities, and engineering best practices. Drive experimentation, deployment, and continuous improvement using real-world operational data. What We're Looking For Required PhD or equivalent expertise in Robotics, Machine Learning, Computer Science, or a related field. Significant experience building robot learning systems for real-world robotic manipulation. Deep expertise in imitation learning, reinforcement learning, policy learning, or related techniques. Experience working with physical robots rather than purely simulated environments. Strong understanding of contact-rich manipulation, force feedback, and real-world robotic control. Track record of shipping robotics systems from research into production. Experience leading highly technical teams or serving as the technical leader for a major robotics initiative. Preferred Experience from leading robotics organizations or research groups such as: OpenAI Robotics Google DeepMind Robotics Physical Intelligence Toyota Research Institute Figure AI Agility Robotics Covariant Skild AI Sanctuary AI Dexterity Intrinsic Boston Dynamics Other leading manipulation or humanoid robotics companies Particularly valuable experience includes: Learning from teleoperation or human demonstrations Building commercial robot learning data pipelines Manipulation in contact-rich environments Haptic interfaces or force-controlled robotics Multi-modal learning using vision, force, and proprioception Scaling robot learning infrastructure across fleets Who You Are Builder-first with a passion for deploying robotics in the real world. Comfortable operating in an early-stage, fast-moving environment. Excited by ambiguous technical problems with significant ownership. Able to balance long-term research vision with near-term product execution. Motivated by building a team, not just contributing individually. Collaborative, hands-on, and deeply technical. Why Join Define the robot learning strategy from an early stage. Build systems that operate in challenging, real-world industrial environments. Work across hardware, controls, perception, and AI to solve end-to-end robotics problems. Help shape the future of intelligent humanoid robotics. Significant technical ownership with the opportunity to build and lead a high-impact organization. Location: San Francisco Bay Area, California (onsite) Employment Type: Full-time

Location: Global Remote Workplace: remote Job Description We're hiring our first Head of Partnerships to own and grow the relationships that matter most to Metabase: the AI platforms and data warehouse vendors our customers build on every day. You'll work both ends of these relationships — building alignment with partner leadership teams, and building trust with individual sellers and solutions engineers who influence deals in the field. This is a senior, high-ownership role for someone who's built a partnerships function from the ground up before and wants to do it again, at a company loved by hundreds of thousands in the community. What you’ll do: Own and deepen Metabase's relationships with our key technical and go-to-market partners, with a near-term focus on major AI vendors and data warehouse providers Build multi-threaded relationships at both the seller/field level and the partner leadership level, so Metabase stays top-of-mind at every layer of the partnership Design and run co-selling and co-marketing motions that turn partner relationships into pipeline, not just goodwill Represent Metabase in strategic conversations with partners ; negotiating priorities, resolving friction, and identifying where deeper technical or commercial integration creates mutual value Build the systems, cadences, and reporting that turn partnerships from a set of relationships into a repeatable, measurable function Identify and evaluate new partnership opportunities as Metabase's ecosystem grows Act as the internal voice of our partners ; surfacing their roadmaps, priorities, and constraints to Sales, Marketing, and Product What we’re looking for: 8+ years in partnerships, business development, or a related go-to-market role, with real ownership of partner relationships end-to-end Experience building a partnerships function at a small, scaling startup — you've operated with limited playbooks and built the process as you went, not just executed an existing one Comfortable operating at multiple altitudes: equally credible in a room with an AE or SE as in a room with a VP or Head of Partnerships A track record of turning partner relationships into measurable pipeline and revenue, not just logos on a slide Excellent written and verbal communicator who can represent Metabase credibly to technical and commercial audiences alike Bonus: existing relationships within the AI or data warehouse ecosystems Bonus: experience in open-source, developer tools, or data infrastructure companies Qualities we’re looking/testing for Ownership Comfortable with experiments Ability to create from scratch Comfort at different altitudes (IC to VP) Compensation The US base salary range for this role is $175K–$250K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment.

Location: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: Senior Optomechanical Engineer - Location: Warsaw, Poland - Department: Engineering / Optical Systems - Reports to: Mechanical Engineering Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Senior Optomechanical Engineer, you will be the critical link between optical and mechanical engineering, turning advanced optical designs into flight-ready mechanical structures for ICEYE's satellite payloads. Working hands-on across CAD, materials and precision mechanics, you will own the mechanical design of optomechanical assemblies through every stage of the product lifecycle, from concept and prototyping to manufacturing, integration, testing, and qualification for space. You will ensure that performance, precision, and alignment are preserved as an optical design moves from the design file to a finished satellite instrument. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Own the mechanical side of the optical payload's development, from early concept work through prototyping, and into production, integration, and pre-launch qualification, working hands-on on CAD design, analysis, and optimization throughout. - Sit at the interface between the optical and mechanical domain, reading and interpreting optical designs so that the mechanical structures, mounts, and adjustment mechanisms you build preserve their performance once assembled and tested. - Build and maintain close working relationships with external manufacturers and subcontractors, so that the components and mechanisms they deliver meet the precision, alignment, and quality the design calls for. WHAT WE’RE LOOKING FOR Must haves: - Expert knowledge and hands-on skills of mechanical CAD design, analysis and optimization including all phases of the project from the concept up to material and structural analysis. - Familiarity with the material science and engineering being able to guide material selection and analysis for the space environment (outgassing, thermal cycling, thermoelastic effects). - Embracing the challenge, mindset of owning problems and solving them, capability of taking risks and leaning forward when needed. R&D style of learning by doing and iterating on the parts that require improvement. - Experience in delivering design through suppliers - proven record of working directly together with manufacturers and subcontractors in order to get the design delivered to production, verified and validated. Nice to haves: - Exposure to space optics. - Experience with TVAC and vibration testing, and pre-launch qualification campaigns. - Experience selecting and qualifying optical components together with manufacturers. - Knowledge of metrology and measurement techniques for precisely actuated systems, including optical profiling and CMM methods. APPLICATION PROCESS - Talent Attraction Screening - Hiring Manager Screening - Onsite workshop + Technical discussion - Interview with Leadership WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Do you have strong technical abilities, and excellent communication skills and can be an inspiration to your team to achieve extraordinary results? Have a passion for automation? Want to work at a company where customers have real excitement for the products you help create? At PlayStation, we are seeking engineers to join a global initiative in robust test automation and Continuous Integration/Continuous Deployment systems. We are looking for a Software Development Engineer in Test Contractor (SDET Contractor) who can help ensure we're able to continue to grow our capabilities without negative impact to our passionate user base. What You'll Do Setup test frameworks, and help teams set up automation infrastructure Automated testing of UI Frameworks, Background Services, Language runtimes, Browser technologies. Develop and implement standard methodologies for automation, continuous build and deploy, automated testing, multi-functional end-to-end testing, including device testing, and performance testing Work with globally distributed teams to engage early and provide continuous delivery of high quality software products that delight Sony customers Manage, and monitor various Jenkins Jobs and report statuses Identify and act on opportunities to improve the QA process Expand testing and automation across teams to promote ownership of quality Work with console developers to ensure that all features and bug fixes come with automated test coverage Maintain and improve existing Python based automation framework Report, track and verify defects This Role Will Require Knowledge Of Testing – the study and practice of a variety of test techniques and methodologies, and familiarity with prominent voices in the online testing community Test automation – an interest in test automation to a level where you can discuss the pros and cons of various automation approaches. To support this, you also have working knowledge of a modern programming language Agile software development – understanding of common methodologies and articulation of how a strong tester can best support their team in that context Performance - passion for application performance and concern about application load time, perceived performance, and user retention Qualifications A Bachelor's degree in Computer Science or equivalent Proven experience writing automated tests in C++, Python, JavaScript Practical experience using development and deployment tools: Git, Docker, Conan, npm Experience in developing CI pipelines using Jenkins / Github Actions, Experience with Selenium or Appium Experience with at least one modern web application framework, preferably React Knowledge and experience testing APIs, Libraries, SDK / Application Frameworks, Native Applications Strong technical, analytical, and problem-solving skills Ability to work independently and as part of a team Excellent verbal and written communication skills Ability to estimate effort and size of features Experience with agile development methodologies and TDD processes Join us at PlayStation and help us build world-class experiences for our users! At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $52 — $78 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences. You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically, but how they show up for members. This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work. RESPONSIBILITIES - Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training - Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders - Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary - Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible - Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness - Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring - Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability - Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams QUALIFICATIONS - 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product - 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams - Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor - Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes - Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day - Experience defining and driving cross-functional programs with engineering, product, and science partners - Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders PREFERRED - Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance) - Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps - Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $200,000-$245,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: New York City, NY; 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 The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely Stand up and run deployments of this tooling across multiple clouds, including inside cloud-provider partner environments where data must stay in place. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments Minimum qualifications A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 8+ years of industry software engineering experience Experience building data labeling, trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic A product-minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lisbon, Portugal Joom Group is an international tech-centric group of e-commerce companies founded in 2016 in Latvia. We are here to transform the largest industry in the world, global trade, making it more transparent, efficient, and technology-driven. Today, Joom Group brings together the following businesses: Joom, a platform for shopping from all over the world; JoomPro, the first end-to-end cross-border B2B marketplace, with successful operations in Brazil and plans to expand to other markets; JoomPulse, data platform that provides analytics and recommendations for marketplace sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group’s offices are located in China, Brazil, Portugal, Latvia, and Germany, with headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses, and products. Our team is small and operates with high autonomy. We avoid the bloat of massive tech corporations. Instead, we empower individual engineers to solve problems that would typically require entire outsourced departments. At Joom, your work doesn't just improve metrics – it can fundamentally change the global trade. About the Role Mission Critical: You will be working on most challenging problems and impactful products – whether it’s optimizing cross-border logistics through ML, architecting high-load B2B systems, developing service infrastructure with AI agents, or pioneering LLM-driven internal tools Direct Impact: Drive significant business impact by combining technical excellence with smart, innovative ideas that improve user experience and optimize business efficiency. Who You Are You are an Exceptional Software Engineer: You have a track record of building complex, reliable systems and possess a deep understanding of the full stack, from infrastructure to ML-serving You are "AI Ready": You treat tools like Cursor, Claude Code, GitHub Copilot, etc. as extensions of your own capabilities to move faster and think bigger You are confident in making decisions grounded in data and measurable outcomes Our Tech Culture High Engineering Density: Work in a compact, expert and strong team serving large business Advanced Tooling: We encourage use of the most modern tools available (OpenAI, Gemini, Anthropic, etc), allowing to build everything you can imagine Fast Loops: Our infrastructure is built for speed – experiment, deploy, and see the business effect in real-time Values & Culture Move Fast: We operate in a hyper-dynamic and competitive environment, where challenges and opportunities pop-up every day and successes are immediately copied. That’s why we must move fast: make smart decisions, test hypothesis and quickly scale winning solutions Strive for Excellence: Move Fast doesn’t mean that speed is more important than quality. Only well-executed work can enable a startup to become a successful, long-lasting company Be Open and Honest: To become stronger, we openly discuss problems, are not afraid to acknowledge mistakes and look deeply into their core Together We Win: We only win when we play as one team. Regardless of business unit, country, or department, we work toward a shared goal and do what’s best for the team as a whole Innovate: We are here to create services that solve customer needs far better than existing alternatives We offer Compensation package: base salary, performance-based bonuses and stock options Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. or Canada. Residents of Quebec are not eligible for this role. At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Key responsibilities: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What we're looking for: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Nice to have: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. In the US, the Base compensation range for this role is $ 154,445 - $185,334 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role Overview We are looking for a highly structured, analytical, and execution-oriented Senior Corporate Operational Project Manager to help translate strategic priorities into measurable outcomes and disciplined execution across Corporate Operations. This role sits at the intersection of strategy, OKR (Objectives and Key Results) and performance management, and corporate operational project management . You will help build and operate the mechanisms that enable teams and leaders to set clear objectives, track progress, manage risks and dependencies, and drive effective execution. A key area of responsibility will be developing and operating our OKR framework and management cadence , while also leading complex cross-functional corporate projects and strengthening the governance and performance-management mechanisms required to support decision-making and accountability. This is a hands-on role for someone who can move comfortably between strategic thinking and detailed execution — from facilitating an OKR planning session or leadership review to managing dependencies, driving critical operational projects, and translating performance data into clear actions and decisions. Key Responsibilities Lead and establish the design, implementation, and continuous improvement of OKR (Objectives and Key Results) methodology and operating model , translating strategic priorities into clear Objectives, measurable Key Results, and actionable plans. Lead complex, cross-functional corporate operational and strategic projects from definition and planning through execution, ensuring clear ownership, milestones, dependencies, risks, and measurable outcomes. Establish and manage effective governance and management cadences , including OKR reviews, program reviews, and other relevant performance forums. Track OKR and program performance, identify off-track outcomes, risks, blockers, and cross-functional dependencies, and drive timely mitigation, follow-up, and escalation. Define and maintain the KPIs, measurement frameworks, and reporting mechanisms required to effectively monitor OKR progress and strategic initiatives, partnering with Analytics and other relevant teams where needed. Translate performance data and insights into clear management recommendations, actions, and decisions. Act as a trusted partner who brings structure to ambiguity, challenges assumptions, and drives initiatives from discussion through execution. Prepare clear, concise, and data-driven materials for leadership discussions and decision-making. Drive process improvements and help build scalable operating models, tools, templates, and playbooks that strengthen execution across Corporate Operations. Partner with leaders and cross-functional teams to improve prioritization, alignment, accountability, and execution against strategic objectives. Key Qualifications & Experience Must-Have Requirements 5-7+ years of experience in Corporate Operations, Strategy & Operations, Program Management, Business Operations, PMO, Management Consulting, or a similar role. Strong track record of managing complex, cross-functional initiatives involving multiple stakeholders. Strong project and program management capabilities, including planning, governance, dependency management, risk management, and execution tracking. Strong analytical mindset and comfort working with performance data, KPIs, and management reporting. Experience translating strategic priorities into structured plans, measurable outcomes, and operating mechanisms. Strong problem-solving skills and the ability to bring structure to ambiguous or complex situations. Excellent written and verbal communication skills, including experience preparing materials and recommendations for senior stakeholders. Strong facilitation and stakeholder-management skills, including the ability to influence without direct authority. High level of ownership and ability to independently drive work from problem definition through execution. Strong attention to detail without losing sight of broader business objectives. #LI-BH1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Cyprus Workplace: hybrid About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. We're looking for an AI Engineer to join our AI Platform team, which builds and operates the generative AI pipelines powering our products, many of which involve financial and trading data, terminology, and specifications. You'll join a small high-impact team where you'll have real ownership from day one. You'll work across our broader AI-platform portfolio: prompting and prompt evaluation, agentic systems, MCP tooling, and evaluation pipelines: writing backend Python on top of LLM providers like OpenAI, Anthropic, and xAI. This is an applied engineering role focused on shipping and maintaining production LLM systems. This role is hybrid, based in our Limassol office. Tasks: Design, build, and maintain LLM-powered features and pipelines for our generative AI products, including those handling financial and trading content Develop and improve agentic systems and multi-agent workflows, including integrations using MCP (Model Context Protocol) servers/tooling Write production-grade backend Python services on top of LLM provider APIs (OpenAI, Anthropic, xAI) and/or on-premise LLMs Build and iterate on prompt engineering and prompt-evaluation pipelines, including structured output generation and validation Take prototypes and proofs-of-concept and turn them into reliable, maintainable production services Monitor and manage LLM cost, latency, and reliability trade-offs across pipelines Collaborate closely with a small, senior AI Platform team on architecture, code review, and technical direction. Requirements: Production LLM experience: You've shipped real, live features using OpenAI and/or Anthropic APIs, or with on-premise/open-weight LLMs, not just experimentation or side projects Hands-on experience building multi-agent systems or workflows and working with MCP servers Strong Python & software engineering fundamentals (2–4+ years): REST APIs, SQL, Docker, git, and concurrency, with a demonstrated ability to take projects from prototype to maintainable production service Practical LLM engineering skills: Comfortable working with structured outputs, prompt evaluation, and cost-aware design decisions in real systems English fluency (written and verbal). Nice to Have: Prior experience working in fintech Finance/markets knowledge: tickers, earnings, technical indicators, forex/CFDs Quant background Experience with model fine-tuning/training, RAG, or LLM optimization techniques Track record in Kaggle competitions focused on LLMs or multi-agent frameworks GPU infrastructure experience: provisioning GPU compute or serving open-weight models (e.g., Hugging Face inference) Experience with Kubernetes, Kubeflow, or Airflow Data analysis and statistics experience Experience with cloud platforms (AWS, GCP, etc.) Fluent Russian. We know the combination of production LLM engineering and finance-domain knowledge is rare. If you're a strong AI/LLM engineer without a finance background, we still want to hear from you. What we offer: Hybrid work model in our brand-new office in Limassol. Health insurance and mental health services. 13th salary and 21 vacation days per year. Sick leave without medical certificate: 3 days per quarter. Catered lunches in the office. Tuition reimbursement (kindergartens/schools). Onsite Gym. Corporate events and workshops. Bonuses for special events (e.g., child's birth). Birthday and anniversary gifts. Company-provided laptop. Corporate AI subscriptions (Claude, Gemini, GPT, etc.). Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Summary: Lead the Switchboard team, which owns the Tenant management product for Dedicated environments. This team is diverse in skills (Frontend, Backend and Reliability engineers) and owns the product end to end. The product enables self-service and workflow automations for customers and internal operators of our large scale Dedicated tenant fleet. Key Responsibilities: Lead the fullstack Switchboard team responsible for GitLab Dedicated’s customer-facing control panel, and set clear direction for how the team delivers and evolves that product. There is a strong coordination with the assigned Product Manager. Hire and develop a high-performing team  where team members can thrive and produce results with quality and speed. Partner with Technical Team Leads to provide direction and act as final decision-maker and unblocker of the team to move forward fast. Partner closely with Product and Design on the customer-facing control panel, including wireframes and UI direction for external users. Own planning with the Product Manager, including priorities, dependencies, and the quarterly delivery epic. Ensure fast, high quality and  cross-functional execution across frontend, backend, UX, product, and technical writing. Drive improvements in quality, security, and performance. Support the team’s mission of enabling GitLab Dedicated customers to manage their tenant environments while reducing manual operations on the large scale Dedicated fleet. Take part in on-call or operational support where your team’s ownership model requires it. We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams. What you'll bring: Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience with fleet management products, including Terraform, Kubernetes, AWS and automated provisioning at scale (20+ clusters) Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Baku Workplace: onsite ABOUT US   Xsolla is a global video game commerce company that provides a comprehensive suite of tools and services for game developers and publishers - including payments, distribution, game stores, launcher solutions, and partner network services. Our platform processes transactions across 200+ geographies, supporting thousands of games and millions of players worldwide. Quality is not optional - it is foundational to every product we ship. ROLE OVERVIEW The Director of QA is a senior technical leadership role responsible for owning and scaling Xsolla's quality engineering function across multiple product lines, teams, and time zones. You will define and drive the strategic vision for quality assurance - from test automation architecture and CI/CD integration to AI-assisted testing practices and performance engineering. You will lead a distributed organization of 30+ QA engineers and leads as part of a broader QA organization of 75+ professionals, ensuring predictable, high-quality releases across every product Xsolla delivers. This is not a management-only position. You must be deeply technical - capable of reviewing automation code, architecting test frameworks, debugging CI/CD pipelines, and evaluating AI-driven testing approaches hands-on. Key Responsibilities Strategic Leadership & Ownership Define and execute the QA strategy across all Xsolla products, aligning quality objectives with business goals and product roadmaps. Own QA deliverables end-to-end - from test planning through release sign-off - and be accountable for outcomes, not just activities. Establish and enforce quality gates, defect governance policies, and release readiness criteria across all product teams. Drive organizational maturity: evolve the QA function from reactive testing to proactive quality engineering embedded in every stage of the SDLC . Represent QA at the executive level - articulate quality risks, tradeoffs, and resource needs to VP/C-level stakeholders with clarity and data. Technical Excellence Architect and oversee enterprise-grade test automation frameworks spanning UI (Playwright), API, database validation (SQL), and performance testing (K6). Define and maintain standards for test code quality - including code reviews, PR contributions, reusable libraries, and modular test design. Deep understanding of Git workflows - branching strategies, merge request reviews, repository hygiene, and code versioning best practices across multiple repositories. Expert-level knowledge of CI/CD pipelines - design, optimize, and troubleshoot automated build, test, and deployment pipelines (GitHub Actions, GitLab CI, Jenkins, or similar). Ensure all automation is fully integrated into CI/CD pipelines, with clear pass/fail signals, automated regression gates, and performance benchmarks at every release stage. Drive adoption of infrastructure-as-code practices for test environments - containerized test execution, ephemeral environments, and environment parity between staging and production. Evaluate, select, and implement QA tooling - including test management platforms (Qase), observability tools, and defect tracking integrations. AI Integration & Innovation Proven track record of using AI in day-to-day QA activities - not aspirational, but demonstrated. You have used AI tools to generate test cases, write automation code, analyze test results, identify flaky tests, or accelerate debugging. Champion and operationalize AI-assisted quality engineering across the organization - specifically using Claude AI for code generation, test design, automation scripting, and documentation. Define governance frameworks for AI-generated test artifacts - validation, review, and sign-off processes to ensure AI outputs meet quality standards. Stay current with AI/ML advancements relevant to testing - intelligent test selection, predictive defect analysis, autonomous test generation, and self-healing automation. Establish metrics to measure the impact of AI adoption on QA velocity, coverage, and defect detection rates. Team Leadership & People Development Lead, mentor, and develop a distributed team of 30+ QA professionals - including QA Leads, Senior QA Engineers, and QA Engineers - across multiple time zones (Americas, Europe, Asia-Pacific). Build a high-performance culture rooted in ownership, technical excellence, continuous learning, and psychological safety. Conduct regular 1:1s, career development conversations, and performance reviews. Identify and grow future QA leaders. Design and implement onboarding programs, skill development paths, and technical training curricula - including AI literacy for all QA team members. Manage resource allocation and capacity planning across multiple concurrent projects, ensuring predictable and sustainable QA delivery. Navigate cross-cultural team dynamics with sensitivity and effectiveness - a truly global team requires a global leadership mindset. Process Rigor & Quality Governance Enforce rigorous QA processes across the organization:  • Test case management : Create, maintain, and execute comprehensive test cases in Qase with full traceability (pass, fail, blocked statuses). Bug documentation : Ensure all staging bugs are filed with detailed reproduction steps, expected vs. actual behavior, environment details, screenshots/videos, and severity classification - following established training standards. Automation framework documentation : Maintain clear, up-to-date documentation for all automation frameworks, ensuring any engineer can onboard and contribute. QA Score : Drive iterative improvements in QA Score metrics - tracking automation coverage, defect escape rate, test execution velocity, and regression stability. Define and track QA KPIs and OKRs - present quality dashboards and trend analysis to leadership regularly. Conduct root cause analysis on production escapes and implement systemic corrective actions. Cross-Functional Collaboration Partner closely with Engineering, Product, DevOps, and Release Management to embed quality practices into every phase of the development lifecycle. Work effectively in Agile/Scrum environments - participate in and drive sprint planning, retrospectives, daily stand-ups, and release ceremonies. Act as the primary QA stakeholder for cross-functional initiatives - environment strategy, deployment automation, incident response, and post-mortem processes. Build strong relationships with engineering leadership to ensure QA is not a bottleneck but an accelerator. Common Expectations Across All QA Roles Must be technical and able to write code for testing and automation. Use Claude AI to assist in code creation, automation, and test design. Follow QA processes rigorously: create and execute robust test cases in Qase , maintain clear documentation in automation frameworks, ensure traceability of executed test cases with statuses (pass, fail, blocked), and file Staging Bugs with detailed documentation following training standards. Contribute to iterative improvements in QA Score and testing processes. Strong communication and collaboration skills, analytical mindset, and commitment to continuous learning. Ability to work effectively in Agile/Scrum environments, participating in sprint planning, retrospectives, and daily stand-ups. Required Qualifications 15+ years of experience in QA/Quality Engineering , with at least 6+ years in Senior Manager or Director-level roles . Proven experience leading teams of 30+ people distributed across multiple time zones and cultural contexts. Hands-on technical proficiency - you can write and review test automation code, not just manage people who do. Proficiency in one or more: Python, JavaScript/TypeScript, Java. Deep expertise in test automation frameworks : Playwright, Selenium, Cypress, or equivalent for UI; REST/GraphQL API testing tools; database validation via SQL. Performance testing experience : K6, JMeter, Gatling, or Locust - designing, executing, and analyzing load/stress/soak tests. Expert knowledge of Git : branching strategies (GitFlow, trunk-based), pull request workflows, code review practices, repository management across multiple repos. Expert knowledge of CI/CD : designing and maintaining pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI), integrating automated tests into build/deploy workflows, debugging pipeline failures. Demonstrated use of AI tools in professional QA work - Claude, ChatGPT, Copilot, or similar - for test generation, automation coding, defect analysis, or process optimization. Provide specific examples. Strong understanding of Agile/Scrum methodologies and experience operating within and across Agile teams. Experience with test management platforms (Qase, TestRail, Zephyr, or similar). Excellent communication skills - ability to present complex technical quality topics to non-technical stakeholders, write clear documentation, and influence without authority. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience). Preferred Qualifications Experience in the video game, fintech, or e-commerce/payments industry - understanding the unique quality challenges of high-throughput transaction systems. Experience with cloud-native architectures (GCP, AWS, Azure) and testing strategies for microservices, event-driven systems, and distributed architectures. Familiarity with containerization and orchestration (Docker, Kubernetes) for test environment management. Experience building or managing unified test environments - non-production environment strategies that enable safe, deterministic, and scalable validation. Knowledge of security testing fundamentals ( OWASP , penetration testing, vulnerability scanning). Experience with data pipeline testing and data quality validation. Background in establishing QA Centers of Excellence or transforming QA organizations from manual-heavy to automation-first. What Success Looks Like (First 12 Months) 90 days : Complete assessment of current QA processes, tooling, team capabilities, and automation coverage. Establish relationships with all QA leads and key engineering stakeholders. Identify top 3 strategic gaps. 180 days : Deliver a QA strategy roadmap aligned with product and engineering priorities. Implement measurable improvements in automation coverage and CI/CD test integration. Launch AI-assisted testing pilot across at least 2 product teams. 365 days : Achieve measurable reduction in production defect escape rate. Demonstrate >80% automation coverage on critical regression paths. AI-assisted testing practices adopted across all QA teams. QA Score trending consistently upward. Team engagement and retention metrics at or above company benchmarks. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Hong Kong We are seeking a qualified and experienced Clinical Psychologist to join our growing team. The ideal candidate will have a strong background in delivering evidence-based treatments, particularly Cognitive Behavioral Therapy (CBT), and experience in administering neuropsychological assessments for youths, adolescents, and adults, as well as strong report writing skills.  Key Responsibilities: Develop and implement individualised treatment plans using evidence-based interventions, with a primary focus on CBT. Provide individual and group therapy sessions for clients, both in-person and virtually Conduct neuro-psychological assessments including ADHD, learning needs, dyslexia, and other related conditions. Participate in team meetings and contribute to ongoing service development and improvement initiatives. Collaborate with our interdisciplinary team to develop and implement client-centered treatment plans. Work closely with our 24/7 helpline responder team to manage risk, ensure the safety of clients in crisis situations and provide crisis interventions Maintain accurate and up-to-date client records in accordance with professional and legal standards. Continuously update professional knowledge and skills through participation in continuing education and Requirements Minimum Master’s Degree in Clinical Psychology with a minimum of 500 supervised hours of clinical experience post qualification (excluding academic placements) and ≥3 years of post-qualification clinical practice. Registered with appropriate local governing body such as HKPS Skilled in Trauma-Informed Therapeutic Approaches (e.g. TF-CBT, EMDR, DBT for trauma survivors, and/or Somatic Experiencing) and Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT). Experience managing moderate to high complexity cases. Hold valid and active licenses applicable to the country of practice. Proficiency in English and Vietnamese. Prior experience in EAP, therapy/counselling and/or as an in-house wellbeing provider is a plus. Benefits Why Join Us? Become part of a collaborative network of Clinical Psychologists dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: Jeddah, Saudi Arabia; Hyderabad, India; Nairobi, Kenya; Cape Town, South Africa; Cairo, Egypt The Research Technician will support the Interfacial Lab (iLab) at KAUST by assisting with greenhouse and growth chamber operations, laboratory testing, and field trials related to biochar and soil amendment research. The role involves preparing soil substrates, monitoring plant growth, conducting soil and plant analyses, supporting irrigation and field deployments, and maintaining accurate experimental records to ensu r e successful execution of agricultural research projects. Requirements Support greenhouse and growth chamber operations, including setting up and maintaining plant growth experiments. Prepare soil substrates with biochar amendments (CarboSoil, SandX, and superhydrophobic sand) according to experimental protocols, and monitor plant health, growth conditions, and productivity metrics. Conduct soil and plant sample analysis, including pH, EC, nutrient composition, and water retention. Assist with field trials, soil preparation, planting, irrigation setup, soil sampling, and environmental monitoring. Maintain laboratory inventory, experimental records, and ensure compliance with laboratory safety procedures. Requirements: Bachelor's degree in Agriculture, Agronomy, Plant Science, Soil Science, Horticulture, or a related field. Minimum 5 years of hands-on experience in greenhouse operations, agricultural research, field trials, and soil/plant analysis. Experience with irrigation systems, greenhouse/growth chamber operations, and laboratory testing. Knowledge of biochar and soil amendment technologies is an advantage. Proficiency in soil and plant analysis, including pH, electrical conductivity (EC), nutrient composition, and water retention testing. Ability to maintain accurate experimental records, manage laboratory inventory, and follow laboratory safety procedures. Valid driving license and willingness to work at field sites when required.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As the Product Manager, you will be responsible to discover new markets and revenue opportunities and innovate new products to address the market needs. Act as an internal champion to build consensus and influence senior management for new product ideas. Identify, define, implement and instrument market research, product design, product implementation and product release processes. Define, build and scale OKX's payment systems that powers money movement globally to help our customers gain access to a wide array of crypto assets. The scope of this role includes defining & managing product roadmaps, features including user experience and end to end integration with local & international payment providers while proactively managing the risk associated with your product. Tracking KPIs and driving growth of your product features is at the core of PM’s at OKX, while collaborating with multiple key stakeholders like designers, engineering, legal, risk, compliance, marketing, customer support & finance across the organization and get them aligned on your product roadmap and deliverables. You’ll be joining our growing product team to help define the future of our company and product. If you are an entrepreneurial product leader, who doesn’t hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you. What You’ll Be Doing Be the owner of your payment products (ACH, Cards, Wire, SEPA, FAST, PIX, etc), you truly own it! Define & drive every aspect of your product from developing the roadmap/backlogs/iterations in order to hit your goals & KPIs Outline features, technical integration requirements, work with your squad of product designers, content writers, data analysts and engineers to bring your product to life You verify your squad deliverables, align your customer support teams including all key stakeholders for any feature release/announcements to your retail users Manage your product dashboard by tracking all your product data metrics Drive adoption, usage of your products working closely with marketing, risk teams, keep close eye on customer frictions and voice of customer to optimize your product experience Ensure that there are effective internal tools in place for any new product launch What We Look For In You Product management experience in the payments space with past experience in payments clearing, settlement and fiat custody Visionary for trending and future crypto market needs and payments industry changes Product innovator that can achieve business goals with unique product offering and business models Previous experience designing and building payments systems and understanding of risk management associated with these payment options Entrepreneurial mindset: Experience working in a fast-paced environment with competing resources and priorities. Opinionated and willing to make calls with limited information. Ability to navigate through ambiguity to advocate for resources Excellent written and verbal communications skills; ability to translate strategy into clear and actionable plans for product development, engineering, design and marketing Technical, comfortable with delving into the product, the platform and the implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions Metrics driven with proficiency in identifying, defining, tracking and acting upon metrics Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring Familiarity with cryptocurrency exchanges and passion for crypto and blockchain innovations Bachelor's degree in Computer Science, Engineering, or a related technical discipline Nice to Haves Past experience working with payments systems or crypto platforms is strongly preferred Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants OKX Statement OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Astana, Kazakhstan Are you a Physical Therapist or Strength and Conditioning coach thinking about a career change? Are you passionate about how technology can help progress your profession? If you have previous experience as a Physical Therapist or Strength and Conditioning Coach, a role as a Business Development Manager at VALD could be the change you need! About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. About the VALD Business Development Team The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD. With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business. Is this you? Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role. Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting. Be comfortable with targeting new clients. Willing and able to travel for client meetings and represent VALD at industry conferences and events. Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients. A self-starter who holds themselves accountable for reaching sales targets. A desire to work with and nurture existing distributor relationships. Prior experience using CRMs and the Microsoft Office 365 suite of products. You reside in Astana. You speak Kazakh and English (please submit your application in English). It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team. Why VALD? An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD.  Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture. We have a range of benefits we offer to our team, such as: Industry-leading compensation with healthy performance-based incentives. The opportunity to work in a company that is redefining allied healthcare. Learn from a range of high-performing individuals and teams across various disciplines. Be part of a down-to-earth, inclusive and vibrant team. Regular travel opportunities to get the entire VALD team together for your ongoing development. The latest equipment and remote setup to perform at your best. VALD Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Background check Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.