Location: California
Workplace: onsite
Overview
We’re hiring an onsite lead to run day-to-day execution for our robotics data collection pilot, built around I2RT YAM bimanual robotic arms. You’ll guide a team of data collection operators, keep operations safe and consistent, and act as the main onsite point of contact for client stakeholders.
Please note that this role does not own staffing schedules or inventory management.
Project Details
Location: Palo Alto, CA — 100% onsite
Type: Contract
Schedule: Full-time; 8 hours/day, 5 days/week
Duration: Minimum 2-week pilot; potential extension through year-end and beyond
Start: ASAP
Compensation: $50/hour
Work authorization: Must be authorized to work onsite in the U.S.
Key responsibilities
Oversee daily execution and station readiness; enforce SOPs, quality, and safety protocols.
Coach operators on teleoperation and HRI execution; provide on-the-spot refreshers and corrective guidance.
Monitor live sessions and data quality; perform first-level troubleshooting and escalate issues appropriately.
Maintain concise daily notes and issue trackers; communicate blockers, risks, and needs to client teams.
Contribute to SOP and checklist refinements based on observations.
Utilize client-provided equipment, SOPs, examples, and hands-on training to align the team on best practices.
Qualifications
Hands-on experience leading robotic teleoperation and/or HRI data collection.
Strong communication, coaching, and problem-solving skills in lab/field environments.
Comfortable driving consistency, safety, and quality in repetitive workflows.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
🎯 Главная задача — глубоко разобраться в нашем продукте, проводить технические презентации для руководителей и специалистов электростанций, профессионально отвечать на сложные инженерные вопросы и участвовать во внедрении решений.
Location: Seoul
Workplace: Remote
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey's Legal Engineer - Product Specialist joins the LEPS team to serve as the face of Harvey in Korea, building trust with partners, counsel, and legal teams at one of Harvey's key global accounts and across the Korean legal market. This role sits within Harvey's post-sales organization and partners closely with Customer Success Managers and Account Executives to drive adoption, deepen utilization, and support long-term expansion and renewal. The Legal Product Specialist draws on Korean legal training and practice experience to develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel—advising them on how Harvey's AI solutions can enhance legal effectiveness and efficiency. They translate legal practice needs into actionable feedback for Product and Engineering while feeding Korean market insights back to the broader GTM organization. It is a rare opportunity to pioneer Harvey's presence in the Korean market and shape how a category-defining legal AI platform is adopted across one of Asia's most sophisticated legal systems.
WHAT YOU'LL DO
- Build trusted relationships with law firm and in-house legal teams in Korea by understanding their unique workflows and offering tailored guidance on how to incorporate Harvey's AI into their daily practice.
- Design and lead onboarding sessions, training workshops, and ongoing enablement programs that drive adoption and maximize the value of Harvey's platform for Korean-speaking legal professionals.
- Act as a strategic partner to Customer Success Managers and Account Executives to identify expansion opportunities and support renewal efforts through demonstrated impact and engagement.
- Proactively surface obstacles to adoption by engaging users with thoughtful questions and legal empathy, then develop and implement strategies to overcome them.
- Translate legal practice needs into actionable feedback for the product and engineering teams, helping to shape product development through the lens of Korean legal practice.
- Contribute to customer-facing content geared toward the Korean market (e.g., training materials, use case guides, FAQ resources) to ensure continued customer success across a range of practice areas.
WHAT YOU HAVE
- Korean legal qualification (변호사 자격) or equivalent with 3+ years of experience as a qualified lawyer at a top-tier Korean or international law firm.
- Fluency in Korean and English, with the ability to operate seamlessly across both languages in professional settings.
- Executive engagement skills and presence, with an ability to establish strong relationships with key decision-makers and build credibility at all levels.
- Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Strong understanding of legal processes and challenges faced by legal professionals, with curiosity about AI's potential to transform the legal industry.
- Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-GE1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Bengaluru
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Senior Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in Bengaluru, India.
WHAT YOU'LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
Representative Projects
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
Nice to Have
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
ADDITIONAL INFORMATION
- Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.
PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.
#LI-AS2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Singapore
Why This Role Exists
Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission.
Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network.
The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base.
The Role
CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core.
Rapid response.
When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation.
Proactive engineering.
When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds.
Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline.
What You Might Work On
Rapid response:
Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream.
Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering.
Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time.
Proactive engineering:
Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end.
Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle.
Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate.
Responsibilities
Rapid incident response and root cause analysis.
Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends.
Proactive reliability engineering.
Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve.
Cross-functional partnership.
Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes.
Technical leadership and enablement.
Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness.
Product and platform depth.
Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains.
Requirements
Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments.
Strong foundation in networking and security:
TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching.
Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP.
Routing protocols: BGP, OSPF, including path selection and route propagation.
Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs.
VPN and encryption: IPSec, SSL/TLS tunnels, GRE.
Zero Trust architecture, network segmentation, modern security models.
Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing.
Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil.
Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices.
Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers.
Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents.
Desired Skills & Experience
SRE, DevOps, or platform engineering experience with direct customer-facing accountability.
Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket).
Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss.
Data-at-scale analysis using SQL, PromQL, or equivalent.
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker).
Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency.
Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority.
Experience applying AI/ML to production engineering or operational workflows.
Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents.
Bonus Points
Active Cloudflare user who understands the platform as a practitioner.
Hands-on experience with Workers, Pages, R2, D1, or other developer platform services.
Cloud networking and security experience across AWS, Azure, or GCP.
Web programming (HTML, JavaScript) and regular expressions.
Chaos engineering or formal reliability frameworks (e.g., Google SRE principles).
Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Tokyo, Japan
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Join us on our mission to help everyone shape the tools that shape their lives.
At Notion, we believe in building software that adapts to how people work, not the other way around. As we scale globally, we need someone who can ensure our revenue teams are equipped with the knowledge, tools, and processes to succeed across every geography while maintaining our core values and approach to customer relationships.
We're looking for a Revenue Enablement Program Manager to own the development and implementation of global enablement programs that scale seamlessly across regions. You'll spend 50% of your time developing and locally implementing these global programs, and 50% tuning enablement initiatives to meet regional needs—all while maintaining a globally aligned selling process that honors local market nuances.
This role sits at the intersection of strategy and execution, requiring someone who can think globally while acting locally. You'll leverage AI and automation to build scalable enablement solutions that empower our revenue teams to deliver exceptional customer experiences worldwide.
WHAT YOU'LL ACHIEVE
Global Program Development & Implementation (50%)
- Champion our global operating cadence to ensure the Japan and Korea region is successfully executing our GTM strategy as an extension of the Global Revenue Operations team
- Design, develop and manage comprehensive enablement programs that can be deployed globally while maintaining consistency in our selling methodology and GTM goals
- Partner with Revenue Operations, Sales Leadership, and Product Marketing to create scalable training curriculum, design content, program manage SME stakeholders, develop certification programs, deploy continuous training frameworks frameworks and more
- Build and maintain our global sales playbook, ensuring it reflects best practices that work across diverse markets
- Leverage AI tools and automation to create personalized learning paths, real-time coaching recommendations for revenue team members and leverage the work of our Enablement team
- Establish measurement frameworks to track program effectiveness and ROI across all regions — you'll close the loop and report out on progress
- Lead cross-functional initiatives to align product releases, go-to-market strategies, and enablement rollouts
Regional Tuning & Localization (50%)
- Collaborate with regional sales and GTM leaders to identify local market dynamics, competitive landscapes, and customer behavior patterns
- Adapt global programs to address regional needs while maintaining core methodology and brand consistency
- Create region-specific content, case studies, and competitive battle cards that resonate with local markets
- Build feedback loops between regional teams and global program development to continuously improve our approach
- Support regional team leads in coaching and reinforcing enablement initiatives within their teams
ABOUT YOU
Experience & Expertise
- 7-10+ years of experience in sales enablement, revenue operations, or similar go-to-market roles
- Proven track record of building and scaling enablement programs across multiple geographies
- Expert in adult learning methodologies and creating compelling multimodal content
- High proficiency with the enablement tool stack including emerging AI and automation solutions (ideally AI is already embedded into your workflow)
- Experience working with global sales teams and understanding of diverse market dynamics
- Strong analytical skills with experience measuring program impact and ROI
Skills & Qualities
- Strategic thinker who can balance global consistency with local relevance
- Excellent communication and presentation skills, comfortable working with senior leadership
- Natural collaborator who thrives in cross-functional environments
- Data-driven approach to decision making with strong attention to detail
- Adaptable and comfortable with ambiguity in a fast-growing environment
- Passionate about developing people and helping teams reach their potential
- Fluency in Japanese and English
Technical Requirements
- Experience with CRM systems (Salesforce preferred), learning management systems, and sales enablement platforms
- Proficiency with AI tools for content creation, data analysis, and process automation
- Strong project management skills with experience managing multiple initiatives simultaneously
- Comfortable with sales analytics and performance metrics
NICE TO HAVES
- Experience at a high-growth SaaS company
- Background in sales, customer success, or revenue-generating roles
- International work experience or familiarity with diverse cultural business practices
- Experience with Notion or similar productivity tools
- Certification in sales methodologies (MEDDIC, Challenger, etc.)
- Fluency in Korean
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage
Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners
Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams
Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next
Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry, computational chemistry, or a related field
Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth
Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
Experience with reinforcement learning, large language models, or building evaluations and benchmarks
Track record of supporting drug discovery programs alongside medicinal and synthetic chemists
Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data
Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry
Hands-on synthetic or medicinal chemistry experience at the bench
Publications, patents, or open-source software demonstrating scientific impact
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: North Chicago, United States
Our client, a well-established national trade association, is seeking an Executive Director to lead the organization into its next stage of growth. The association serves a diverse B2B membership of manufacturers, distributors, suppliers, and operators through industry events, education, networking, and advocacy.
The organization is stable and has an engaged, supportive Board. It is now ready to modernize, expand its membership into adjacent markets, and build a stronger member-centric culture.
This is a role for a builder.
The right leader will enjoy putting systems and processes in place, growing a lean team, and turning strategy into measurable results.
What You Will Lead
Growth and Revenue:
Own financial performance for an operating budget in the low seven figures. Drive membership recruitment and retention and grow net revenue. Diversify revenue through sponsorships, programs, events, and new member offerings.
Transformation:
Lead the organization through a period of modernization, including launching a brand refresh and building scalable processes, systems, and member data capabilities.
Team Building:
Lead and develop a small staff, recruit key new hires, and build a collaborative, high-performing culture.
Events and Programs:
Serve as executive lead for major annual industry trade shows produced with partner organizations and a contracted show management firm. Also oversee year-round education, awards, and an annual member meeting.
Board Partnership:
Work with the Board and its committees to implement strategic, generative governance. Report clearly on progress, finances, risks, and opportunities.
External Relations and Advocacy:
Serve as a visible ambassador for the association and its industry with members, partners, allied associations, media, and government officials. Coordinate legislative and regulatory efforts with counsel and lobbyists.
Operations:
Oversee finance, compliance, HR, technology, and administration. This includes budget development with the Finance Committee, internal controls, and the annual audit.
Requirements
Required:
A bachelor’s degree or equivalent experience. A CAE or other association-related certification is a plus.
10+ years of senior leadership experience in a trade association or nonprofit. Small-staff associations ($5M+) with a diverse mix of member types are ideal.
A proven track record of growing membership and net revenue.
Experience leading an organization through major structural or strategic change.
A history of revenue diversification and of building member-centric programs.
A strong working understanding of the partnership between a chief staff executive and a volunteer Board.
Knowledge of nonprofit finance, budgeting, and legal practices, and comfort negotiating contracts.
A data-informed approach to member intelligence, including experience with association management or CRM platforms.
Excellent written and verbal communication, including public speaking and media relations.
A relationship-centric, hands-on leadership style with demonstrated strength in team building and change management.
Willingness to travel approximately 15 to 20% of the time, including multi-day industry events.
Preferred:
Direct experience producing or managing a trade show or large industry event, including exhibitor sales, sponsorships, and contractor management.
Experience managing events or programs in partnership with other organizations.
Legislative or regulatory advocacy experience at the state or federal level.
Background in the entertainment, hospitality, leisure, or consumer products sectors.
Benefits
Base salary of $120,000 to $150,000, depending on experience.
An annual performance bonus program.
Health and retirement plans.
Equal Employment Opportunity and Non-Discrimination Policy
Equal Employment Opportunity Statement:
Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status.
Commitment to Diversity:
Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected.
Reasonable Accommodations:
Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations.
Compensation Information:
For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location.
Compliance with Laws:
Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Workplace Harassment:
Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
E-Verify Participation:
Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable.
Privacy and Pay Equity:
California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at
www.kellerexecutivesearch.com
.
Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available.
Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws.
State-Specific Information:
Rhode Island: We do not request or require salary history from applicants.
Connecticut: We provide wage range information upon request or before discussing compensation.
New Jersey: We do not inquire about salary history unless voluntarily disclosed.
Veteran Status:
Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process.
Use of Artificial Intelligence in Recruitment
Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles.
Genetic Information:
In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law.
Local Laws:
Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate.
Note:
This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.
Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems.
SENIORITY:
Experienced / Research-Level Engineer
EDUCATION:
Master's degree or PhD in a relevant quantitative discipline
LANGUAGE:
Strong written and verbal English
LOCATION:
Remote — Worldwide
Key Responsibilities
Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python.
Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks.
Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions.
Optimize model training and inference for memory usage, computational efficiency, throughput, and performance.
Design and execute tests to verify implementation correctness and compliance with objective performance requirements.
Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions.
Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results.
Document technical approaches, implementation decisions, test results, and performance findings clearly.
Deliver high-quality, reproducible task submissions within project deadlines.
Requirements
Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Strong professional or research experience in machine learning and practical ML engineering.
Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code.
Hands-on experience using coding agents within a Python development workflow.
Understanding of machine learning model development, training and inference workflows, and evaluation methods.
Ability to build reproducible implementations and verify correctness through systematic testing.
Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues.
Ability to work independently, manage technical tasks, and meet defined quality and submission requirements.
Strong written communication skills and the ability to explain technical findings.
Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.
Location: Los Angeles, United States; Warsaw, Poland; Tbilisi, Georgia; Batumi, Georgia; Buenos Aires, Argentina; Tallinn, Estonia
Think You Can Make AI Notice Us? Prove It.
At LBC Mortgage, we’re looking for a curious, ambitious, and unconventional thinker who is ready to experiment, challenge assumptions, test new ideas, and help make our brand visible across the rapidly evolving world of AI platforms.
The way people discover businesses is changing. More and more people are turning to AI assistants like ChatGPT, Gemini, and Perplexity to ask questions, compare services, and decide which companies deserve their attention. We want LBC Mortgage to be part of those conversations. Not just on Google. Not just on social media. We want our brand to be discoverable, recognizable, and accurately represented wherever people search for answers, recommendations, and solutions.
Your mission is simple: help make LBC Mortgage impossible to overlook.
We’re not looking for someone who needs ten years of experience, a complicated strategy document, or permission to try every new idea. We’re looking for someone who is genuinely interested in how AI works, enjoys exploring new tools, and isn't afraid to test an approach that nobody on the team has tried before. You don't need to know everything on day one. You need to be willing to learn, think independently, take initiative, and turn ideas into action.
This is not about taking reckless risks or doing things without a plan. It’s about having the confidence to experiment intelligently, measure results, and improve continuously instead of assuming that yesterday’s methods will always work tomorrow.
You will help establish and maintain our presence across relevant business directories, search engines, review websites, social platforms, online communities, and emerging AI-driven discovery channels. You’ll work on making sure our business information is accurate and consistent, our profiles are complete, and our content clearly communicates who we are and what we do.
You’ll also explore how brands are mentioned in AI-generated answers, identify opportunities to strengthen our online presence, and investigate what helps AI systems discover and understand reliable information about businesses. From improving business listings to researching customer questions, contributing appropriately to relevant communities, and testing new content strategies, your work will help us understand how to become more visible in a world increasingly shaped by AI.
You should be comfortable following a strategy while also recognizing opportunities to improve it. If you notice something that could work better, speak up. If you discover a promising platform, explore it. If you have an idea worth testing, explain your reasoning and help us evaluate the results. We value people who combine initiative with accountability and creativity with attention to detail.
Most importantly, we want someone who sees this role as an opportunity rather than a checklist. Someone who wants to help shape how a brand competes in a changing digital landscape. Someone who understands that there may not always be a ready-made answer and is willing to find one.
We’re not promising that every experiment will succeed. We’re offering the opportunity to explore, test, learn, and contribute to something that is evolving in real time. You’ll have a clear objective, the freedom to investigate different approaches, and the responsibility to turn what you learn into meaningful progress.
Don’t just tell us you’re different. Show us how you think, what you’re curious about, and what you would try first.
Ready to make AI notice us? Apply.
Location: Athens, Greece
We are seeking a
Semantics/Knowledge Graph Engineer
to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.
What You'll Do:
Analyse and maintain
RDF/TTL data models
and vocabularies;
Develop, optimise, and maintain
SPARQL queries;
Support data ingestion, transformation, and validation workflows;
Ensure consistency and correctness of semantic data across the platform;
Collaborate with backend engineers to integrate semantic logic into application flows;
Assist in documenting semantic models, assumptions, and constraints;
Participate in troubleshooting data quality and reasoning issues.
Requirements
3+ years of experience
working with semantic or data-centric systems;
Strong knowledge of:
RDF, RDFS, OWL
SPARQL
Experience with:
Knowledge graphs or semantic interoperability platforms;
Data modelling and ontology design;
Comfortable working with structured data formats:
TTL, XML, JSON, CSV
Ability to analyse existing models and understand
implicit domain logic.
Nice-to-Have:
Experience with triplestores or graph databases;
Familiarity with EU data standards or interoperability frameworks;
Python scripting for data processing and/or Apache Airflow;
Experience in projects with regulatory or standards-driven constraints.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
S/KGE/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Athens, Greece
We are seeking a
Semantic / Data Engineer
to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.
What You'll Do:
Analyse and maintain
RDF/TTL data models
and vocabularies;
Develop, optimise, and maintain
SPARQL queries;
Support data ingestion, transformation, and validation workflows;
Ensure consistency and correctness of semantic data across the platform;
Collaborate with backend engineers to integrate semantic logic into application flows;
Assist in documenting semantic models, assumptions, and constraints;
Participate in troubleshooting data quality and reasoning issues.
Requirements
3+ years of experience
working with semantic or data-centric systems;
Strong knowledge of:
RDF, RDFS, OWL
SPARQL
Experience with:
Knowledge graphs or semantic interoperability platforms;
Data modelling and ontology design;
Comfortable working with structured data formats:
TTL, XML, JSON, CSV
Ability to analyse existing models and understand
implicit domain logic.
Nice-to-Have:
Experience with triplestores or graph databases;
Familiarity with EU data standards or interoperability frameworks;
Python scripting for data processing and/or Apache Airflow;
Experience in projects with regulatory or standards-driven constraints.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
SDE/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Remote (South Africa)
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
OVERVIEW
📍 Remote - South Africa
Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review.
This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them.
WHAT YOU'LL DO
- Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers
- Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering.
- Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication
- Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off
- Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring
- Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention
- Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements
- Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction
WHO WE'RE LOOKING FOR
- Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem.
- Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework.
- End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs.
- Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high.
- Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip.
- Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence.
- Fluent, professional-level English communication, both written and verbal.
NICE TO HAVE
- Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar)
- Familiarity with SQL and reading application logs
- Background in technical support, SRE, incident response, or a related engineering-adjacent function
- Exposure to AI-assisted coding/agent tooling
- Experience in Ops, Support, or CX environments at scale
HIRING PROCESS
- Application Review
- Skills Assessment via Case Study
- Case Interview with Tech Support Team Lead
- Interview with Head of Worker Experience
Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs.
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: Singapore
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft — a platform where AI supports creativity instead of flattening it.
As one of our founding Technical Quality Specialists on the Product Support team for Figma Weave, you’ll have the exciting opportunity to help define, build, and elevate this new support function. This team will be responsible for troubleshooting complex bugs and working closely with our internal teams to elevate the Figma Weave experience for all of our customers. You will be delivering the kind of experiences that build trust throughout the Figma community, from customers to key internal partners, such as Product and Engineering.
We are looking for a Technical Quality Specialist who is an advocate for quality improvements that enable great end-to-end experiences for the people and businesses using Figma Weave. An ideal candidate will have a background with strong testing experience, be comfortable collaborating when priorities move quickly and the path forward is often ambiguous, while demonstrating leadership, technical competence, and a passion for quality.
This is a full time hybrid role based out of our Singapore hub.
What you’ll do at Figma Weave:
Develop expertise in Figma Weave’s products and the journey of our customers—from Product Designers to Developers—to accurately diagnose sophisticated bugs
Interact with Figma Weave customers daily via email and the forum, taking ownership over complex problems
Troubleshoot complex customer inquiries to identify root causes, effectively communicate, and report bugs to our Engineering teams
Serve as the designated point of contact for critical technical issues raised by customers and internal teams, proactively engaging partners like Engineering and Product, and owning customer communication through to resolution
Make recommendations for tooling and process improvements that help the team better manage and diagnose bugs within Figma Weave
Work with the Product Support Learning and Performance team as a subject matter expert to develop documentation and training materials for future Technical Quality Specialists
Act as the voice of the customer by identifying trends and communicating insights to partners across Product and Engineering to advocate for bug fixes, process improvements, and feature enhancements to Figma Weave
Keep the broader Product Support team up to date on current high-priority bugs and fixes that have been implemented in Figma Weave
We’d love to hear from you if you have:
2+ years of experience working in a QA or Support environment for a technical SaaS product
Troubleshooting and debugging experience across multiple platforms
Consultative communication skills with the ability to tailor a message for your audience - translating complex technical concepts into concise explanations for both technical and non-technical stakeholders
Resilience and adaptability—you’re motivated by experimenting, building, and working across teams, and are confident navigating times of change and ambiguity
Japanese a plus, but not essential
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: London
ROLE
Taptap Send is seeking a highly organised and motivated individual to join our Treasury Operations team and help us grow our business. In this role, you will report to the Director of Payments and touch all aspects of Taptap Send's payment operations, with an initial focus on stablecoin funding, working directly with our teams and partners across the world.
You'll own the full life cycle of payments, including creating, tracking and confirming crediting of funds, as well as troubleshooting payment issues across our growing Stablecoin operations. You'll also be involved in funding forecasts to ensure that our partners are well funded at all times.
You'll work directly with our trading team as well as collaborating with the wider team that spans the globe ( London, Abidjan, Lagos, Nairobi, Paris and New York, to name a few places), ensuring that Taptap Send is effectively supported in its growth and customer ambitions! There is plenty of room for professional progression and personal growth within our friendly and ever-growing Taptap community.
RESPONSIBILITIES
- Proactively managing treasury operations, initially for stablecoins, to ensure our accounts are funded and payments can be processed seamlessly
- Working closely with partners to ensure that funding timelines are being delivered on time
- Troubleshooting to find root causes of payment issues and working with internal and external partners to resolve
- Assisting with onboarding new banks and trading partners for stablecoin, working closely with our business development team
- Providing out-of-hours coverage when required
REQUIREMENTS
- Have at least 1 years’ experience, ideally in a payments or funding role and/or working with stablecoins
- Are passionate about our mission and eager to do what needs to be done to achieve it
- Are enthusiastic about treasury operations, solving unique problems, and optimizing processes
- Enjoy challenges, are resourceful and think outside the box to find creative ways to tackle problems
- Love working in teams and building meaningful relationships with key stakeholders
- Don’t hesitate to place a call to promptly resolve issues or persevere to get a result
- Have great organisational skills and the ability to manage multiple time-sensitive priorities in a fast-paced startup environment where no two days are the same
- Have proven analytical skills (Excel); SQL a plus
- Are proficient in English
About Us
We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.
Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.
We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.
Here’s a little more:
- Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world)
- Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more
- Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission
- Truly global team - 250+ people, 50+ nationalities, 50+ languages
- Guided by our values - ownership, impact, humility, and heart - in deed, not just word
TAPTAP VALUES https://www.taptapsend.com/our-values
Impact first
Team next
Accept reality
Propose solutions
Win with grit
Be proactively candid, with yourself and others
Love the particular
Own it
Create positive energy
Maybe, even have fun
Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.
If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.
Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.
УдалённоseniorRemote: India; Location: Candidates based in Mumbai or Bangalore will be prioritised
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