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Location: India - Remote About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost. These programs may involve supervised coding demonstrations, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations. They can require coordinating hundreds of distributed software engineers while responding quickly to changing research requirements. This is an operations leadership role with a meaningful technical bar. You must be able to inspect code, understand tests, interrogate quality signals, and challenge a workflow or rubric when it is not producing the intended result. You will not be expected to act as the principal engineer for every program. Your primary responsibility is to build and operate the system that consistently produces high-quality technical work at scale. What You’ll Own 1) Operational execution — own end-to-end delivery on every project you run Design and manage data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality. Scope and stand up coding workstreams across supervised demonstrations, agentic trajectories, RL environments, benchmark construction, and rubric-graded evaluation. Diagnose bottlenecks in real time — re-sequence workflows, refine instructions, create incentive systems, and scale review processes to hit throughput targets. 2) Quality ownership — ensure world-class data integrity on every project Own quality control across the annotation lifecycle: set the bar, measure against it, and close the gap when it slips. Analyze datasets to identify trends, anomalies, and systematic errors — then fix the root cause, not just the symptom. Implement and continuously improve annotation, evaluation, and curation best practices. 3) Large-scale coordination — orchestrate the work of 100–1,000+ contributors Define the required contributor profile and partner with talent teams to source, assess, onboard, and ramp distributed software engineers. Own contributor training, performance management, reviewer capacity, incentives, and corrective actions. Build team-lead and reviewer structures that maintain execution standards across programs involving hundreds of contributors. 4) Customer relationships — be the face of Turing to the world’s leading AI labs Act as the primary point of contact for researchers and program managers at frontier AI labs providing clear reporting on progress, quality, risks and recovery actions. Translate research intent into a task specification, and push back when a spec will not produce the signal the researcher actually wants. Build the kind of long-term trust that converts a one-off project into a multi-year partnership — and identify expansion opportunities along the way. 5) Playbook building — codify what works so future SPLs scale faster than you did Use Python, SQL or other appropriate tools to automate quality sampling, defect classification, throughput analysis, and weekly reporting. Turn successful workflows into reusable playbooks, quality controls, evaluation assets, and contributor-management systems. Share lessons and mentor other SPLs so each program improves the operating system for the next one. What We’re Looking For Background in software engineering, technical program management, consulting, finance, startups, or other operationally intense environments, with a proven track record of managing complex, multi-stakeholder projects. Strong analytical and communication abilities: you can spot a bottleneck in a noisy production environment, build a measurement plan, and communicate the fix to a demanding client in plain language. Customer-facing experience: comfortable working directly with high-profile clients, managing expectations, and building long-term relationships. Excited by gritty process optimization and large-scale execution — you thrive on making complex operations faster, cleaner, and more reliable. You can read and review code. You can follow a pull request in Python, TypeScript, Java, or Go, read a test suite, and judge a delivered task independently. Bonus: Experience with agentic evaluation harnesses, software engineering benchmarks, or RL environments; Experience managing large distributed contributor networks or marketplaces; Prior work at an AI data vendor or a frontier lab What Success Looks Like 30 days: Complete technical and operational calibration, establish the program baseline, validate acceptance criteria and delivery controls, and independently lead a defined workstream. 90 days: Deliver predictable throughput and quality, improve at least one material operating metric, maintain a trusted risk and reporting cadence, and demonstrate that defects are being detected internally before customer delivery. 180 days: Run concurrent programs with stable quality and cost performance, convert successful workflows into reusable assets, contribute evidence that supports account expansion, and help another lead or team adopt the operating system you built. Why Turing Work directly with the world’s leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research. Real impact on the path to AGI: the data you deliver will directly influence how frontier models are trained and evaluated. High ownership and influence. You will shape how Turing delivers at scale, with direct visibility to senior leadership. Direct-to-research customers. You will spend your time partnering with the people building the future of AI, not coordinating with procurement. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: England; Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Secure Build builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Docker Hub Automated Builds while developing the next generation of trusted build and CI capabilities. Its direction is to make Docker the trusted place CI runs: isolated execution, brokered access to secrets and networks, and verifiable evidence of what each build or test job did. The work spans Go services, container and build technology, cloud infrastructure, sandboxing and software supply-chain security, alongside the operational responsibility for production systems customers already depend on. SCS Services builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout and Docker Hardened Images, including the services and workflows that turn supply-chain data into useful developer, customer and agent experiences. Its estate is deliberately polyglot, with Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. It also supports the customer journey around discovering, assessing, subscribing to and managing hardened artefacts. We are looking for one Engineering Manager to lead both teams. Together they sit at the centre of Docker's secure software supply-chain work: one creates trusted build outcomes, while the other turns build, artifact and dependency data into services and experiences used across Scout and Docker Hardened Images. This is a two-team leadership role with separate roadmaps, production responsibilities and technical domains. The teams should deliver independently, with explicit contracts and joined-up ownership where their services connect. You will own the health, delivery and growth of both teams and make the trade-offs that keep them effective as a portfolio. You will not be expected to be the deepest expert in every language or domain. You will need enough technical breadth and current engineering judgement to engage credibly in designs, reviews and incidents across both teams, set direction with strong senior engineers, and recognise when the right answer is to create space for their expertise. _______________________________________________________________________ THE KIND OF PERSON WE'RE LOOKING FOR The successful candidate leads first. They are an experienced engineering manager who can inherit two capable teams, earn trust quickly and help each become a high-performing, value-delivering part of the wider Docker organisation. They are deliberate about where they spend their attention, protect both teams from becoming the second priority, and make portfolio trade-offs visible rather than allowing urgency, proximity or the loudest stakeholder to decide. They stay close to the technical work without trying to own every technical decision. They can hold a substantive conversation about distributed backend systems, event and data pipelines, build and CI infrastructure, trust boundaries and production operations. They are active in design and review, useful during incidents and willing to get hands-on where that moves the work forward. The balance still tilts strongly to leadership, coaching, delivery and organisational judgement. They care about security as a product and engineering property, not only as compliance. They understand how modern attacks exploit identity, secrets, dependencies and build systems, and they can reason about the evidence customers need to trust an artefact or workflow. They lead through judgement, clarity and unblocking rather than ceremony for its own sake. Above all, they grow the engineers around them and help both teams ship outcomes developers and enterprises can rely on. _______________________________________________________________________ RESPONSIBILITIES - Lead Secure Build and SCS Services, owning delivery, team health, growth, performance and operational excellence across both. - Turn two changing roadmaps into a coherent portfolio plan with explicit priorities, capacity and trade-offs, and create leadership coverage so neither team becomes the permanent second priority. - Partner with Product to shape strategy and roadmaps for secure build, Docker Scout, Docker Hardened Images and the services that connect them. - Stay close to the technical work through design and code review, incident response and selective hands-on contribution where it adds leverage. - Ensure each team's technical direction supports product, security, reliability and customer priorities, setting it collaboratively with Staff and senior engineers while leaving clear decision ownership with them. - Own the interfaces between the teams, including trust boundaries, contracts, data quality, versioning, operational ownership and customer-facing failure modes. - Balance new product work with inherited systems and on-call, and invest in reliability improvements driven by recurring operational pain. - Own engineer growth and performance, handle difficult conversations directly, hire and retain strong people and build succession depth within both teams. - Align Product, Design, Security, DHI Content, Registry, Hub, sales, support, commercial and legal partners while shielding the teams from churn. - Lead disciplined use of AI-assisted engineering and communicate decisions, risks and progress clearly across UK and US working hours. _______________________________________________________________________ QUALIFICATIONS Required - 5+ years managing high-performing engineering teams, with meaningful responsibility across more than one team or distinct technical domain. - 8+ years of professional, hands-on software engineering experience in backend, infrastructure, platform or developer tooling. - Experience leading, growing and retaining engineers at or above your own technical seniority, including teams you did not build and difficult performance conversations. - A leader-first operating model, with current enough technical judgement to participate in design and review across unfamiliar systems without needing to be the best engineer in the room. - Experience prioritising across competing roadmaps, operational load and stakeholder commitments, with clear mechanisms for allocating attention and capacity. - Strong backend and distributed-systems judgement, including APIs, event-driven architectures, data stores, cloud-native infrastructure and production operations. - Understanding of CI or build-system internals, containers and artefact workflows, plus a strong interest in software supply-chain security and trust boundaries. - Experience leading teams that operate production infrastructure through on-call, incident response, observability, SLOs and the work required to reduce recurring operational load. - Strong product judgement and evidence of shaping roadmaps with Product rather than only receiving requirements. - Clear written and verbal communication, strong cross-functional influence, customer closeness and comfort leading a remote-first organisation across European and US time zones. Helpful, but Not Required - Experience with Go, Clojure or both, and evidence of becoming effective across a polyglot estate. - Experience with Kafka, Spanner, Datomic or comparable event-streaming and distributed-data systems. - Experience with OCI, BuildKit, Buildx, GitHub Actions or comparable build and CI platforms. - Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure. - Experience with SLSA, in-toto, SBOMs, VEX, Sigstore, cosign, provenance, signing or vulnerability scanning. - Experience evolving legacy systems while shipping new capability for developer tools, security products, regulated customers or software-agent workflows. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build relationships with every engineer and the Product partners for both teams before changing structure, process or roadmap. - Understand Secure Build's product direction, production estate and on-call load, including Docker Build Cloud and Docker Hub Automated Builds. - Understand the SCS Services products, customers, architecture and operational profile, and map the dependencies, trust boundaries and ownership lines between the teams. FIRST 90 DAYS - Own a coherent portfolio plan with both teams and Product, including explicit capacity for roadmap, reliability and cross-team work. - Establish a sustainable operating cadence and leadership coverage that prevents either team depending on your constant presence. - Agree ownership and escalation paths for shared services and failures, start one material improvement in each team and make progress and risk visible. ONE YEAR OUTLOOK - Both teams deliver predictably against a portfolio that connects secure build, Scout and Docker Hardened Images outcomes without collapsing their distinct missions. - Secure Build has delivered material trusted-build or secure-CI capability and reduced operational risk in its inherited production systems. - SCS Services has delivered material customer outcomes, while both teams have sustainable on-call, clearer ownership and senior engineers leading broader work. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$244,550 – CA$392,150 base United States: $174,900 – $282,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote or Mississauga Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary: The Sr. Director, HR Technology and AI Enablement, delivers PointClickCare's HR technology roadmap and leads the shift to an AI-first, agent-enabled model of HR service delivery. Reporting to the VP Total Rewards, the role executes the platform and AI strategy the pillar sets, redesigns HR workflows and AI-human handoffs ahead of the SAP SuccessFactors-to-Workday migration, and operationalizes the data governance and responsible-AI controls that make automation safe in a healthcare context. Partnering closely with the Sr. Director, HR COEs, SDO, Procurement and OCIO, the role leads a team through significant platform and ways-of-working change, turning pillar strategy into a working technology capability for PCC. Key Responsibilities: HR Technology Roadmap Execution & Platform Sequencing Co-develop with the Workforce Intelligence and HR Technology Leader and execute the multi-year HR technology roadmap Evaluate, select, and sequence platforms and agentic AI across the ecosystem (Workday, Moveworks, ServiceNow Now Assist, Payfactors, Power BI, Qualtrics) against business outcomes Operating-Model & Workflow Redesign (ahead of Workday configuration) Partner with the HR COEs and the four-zone workflow classification to redesign HR workflows and AI–human handoffs before Workday is configured, so Zone 1 and Zone 2 automation is built natively pre-go-live rather than retrofitted. This sequencing is the highest-leverage lever for FY27 and prevents PCC from hardcoding today’s inefficiency into the system for years. Platform Migration, AI Agent & Automation Delivery (SuccessFactors → Workday) Lead end-to-end delivery of the Workday migration and the deployment of conversational and agentic AI (Moveworks, Now Assist), owning project plans, configuration, testing, cutover, and hypercare. Define which workflows are automated versus human-led, monitor agent performance and quality, and manage vendors and budget. Close partnership & collaboration with Procurement, OCIO & SDO through all phases required. Final budget and contract decisions made with partners and Sr. Director Data Governance, Privacy & Responsible AI Build and safeguard the data foundation for AI.": an HR data quality audit ahead of migration, operationalizing the data governance policy that defines what AI systems can access, and Workday as the single source of truth. Advance People Analytics maturity and the skills taxonomy that underpins workforce planning. Team Leadership, Adoption & Employee Experience Lead and develop the HR technology team, reskilling it as work shifts from configuration to AI orchestration. Apply product and user-experience thinking, and drive adoption and change management so employees and managers experience HR technology as fast, intuitive, and trusted. Required Skills & Qualifications: Bachelor’s degree in Human Resources, Information Systems, Computer Science, Business, or a related field. 10+ years of progressive HR technology / HRIS experience, including 5+ years leading and developing teams, and prior experience operating at a leader level or equivalent scope. Demonstrated experience leading an enterprise HCM platform implementation or migration (e.g., Workday and/or SAP SuccessFactors). Experience redesigning HR processes and workflows for automation — mapping current state, eliminating waste, and designing AI–human handoffs ahead of system configuration. Hands-on experience deploying or operating enterprise AI and automation tools — conversational and agentic AI and AI-enabled service management (e.g., ServiceNow / Now Assist, Moveworks). Strong AI literacy: a working understanding of large language models, AI agents, prompt design, and responsible/ethical AI, data governance, privacy, and security. People analytics and data fluency — able to turn HR data into insight and design trusted reporting and dashboards. Proven project and change management skills, delivering across cross-functional stakeholders and external vendors on time and on budget. Demonstrated experience owning technology vendor relationships and negotiating contracts at a half million threshold or above Product- and outcome-oriented mindset — frames technology investments in terms of business and employee-experience outcomes. Preferred Experience: Workday certification(s) and/or ServiceNow HR Service Delivery experience. Experience in a high-growth SaaS or technology company. Experience establishing AI governance, human-in-the-loop frameworks, or classifying workflows by AI impact. Experience with integration architecture (APIs, iPaaS) and enterprise HR data governance. Experience with data privacy and security in a regulated or healthcare environment (e.g., PHI / HIPAA). Experience leading and developing a technical HR / HRIS team. Familiarity with UX and service-design methods applied to employee-facing technology. Relevant certifications (PMP, Prosci / change management, HRIP, CHRP / SHRM). #LI-TW1 #LI-Remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $163,000 - $181,000 + bonus + equity + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're hiring a Growth PM to own data and growth experimentation across the full funnel, from landing page through to in-app and pricing. ElevenLabs drives significant paid and organic traffic across self-serve, developer, and enterprise funnels; your job is to turn more of it into subscriptions, pipeline, and revenue. You'll own the experimentation engine end to end: uncovering opportunities through funnel and product data, building and prioritizing the testing backlog, designing and evaluating experiments, and owning the tracking and reporting that turns results into decisions. Your scope runs deeper than conversion optimization: you'll drive experiments across onboarding, activation, and pricing, and align paid media, design, engineering, and product teams around one optimization roadmap. The ideal candidate is equal parts analyst, strategist, and operator: someone who finds revenue hiding in funnel and product data, ships a high-velocity testing program, and communicates results in terms of subscriptions and pipeline, not just conversion rates. REQUIREMENTS - A track record of running high-velocity experimentation programs end to end - hypothesis, prioritization, test design, and analysis - with measurable revenue impact - Experience running experiments beyond the marketing site: in-product (onboarding, activation) and pricing or monetization - Deep analytics fluency: comfortable living in product analytics tools (e.g., PostHog, Amplitude, GA4) to diagnose funnel drop-off, segment traffic, and attribute outcomes across multi-domain journeys - Strong statistical literacy: you know how to size tests, avoid false winners, and choose the right success metric (revenue and subscriptions over clicks) - A cross-functional operator who can align paid media, design, engineering, and product teams around a shared optimization roadmap Bonus - Working front-end web development skills (HTML, CSS, JavaScript, React) to build test variants without waiting on engineering - Experience optimizing PLG/self-serve funnels alongside sales-assisted (demo/contact-sales) funnels LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. #Li-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Mexico City; Brazil Office Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. The Transaction Monitoring Specialist sits at the intersection of financial crime detection and payment operations: monitoring transaction flows in real time, reconciling fiat and crypto movements as they settle, keeping liquidity available across banking rails, PSPs, exchanges and wallets, and acting as first responder when payment flows degrade. This is a hands-on operational role for someone comfortable making decisions quickly on live money movement, and equally comfortable documenting why those decisions were made. What You’ll Be Doing Monitor transactions and manage alerts : monitor fiat and crypto transactions in real time, investigate anomalies and suspicious activity, review alerts from transaction monitoring, sanctions screening, and blockchain analytics tools, and escalate cases to Compliance/MLRO when required. Perform payment reconciliation : reconcile internal ledgers with banks, PSPs, card acquirers, exchanges, and on-chain records; investigate and resolve breaks, unmatched items, duplicates, failed settlements, and other discrepancies. Manage reconciliation exceptions and customer-impacting issues : maintain the exception log, drive root-cause analysis and resolution, and support refunds, returns, chargebacks, misdirected deposits, and fund recovery. Manage liquidity and positions : monitor fiat and crypto balances across accounts and platforms, execute funding, rebalancing, and sweep instructions, and identify liquidity shortfalls, concentration risks, and settlement timing mismatches. Handle payment incidents and operational issues : detect, triage, escalate, and track incidents through resolution; monitor payment provider and blockchain network health and take mitigating actions when necessary. Maintain operational processes and partner relationships : keep runbooks, playbooks, checklists, and escalation procedures up to date and act as an operational point of contact for banking, PSP, and exchange partners. Prepare operational reporting : produce regular MI covering transaction volumes, success/failure rates, alerts, reconciliation breaks, incidents, and liquidity utilization, providing reliable data for Finance and Treasury. Drive continuous improvement: identify recurring manual work and operational issues, propose automation and control improvements, and work with Product and Engineering to implement and test process improvements. Qualifications You Will Bring 3 years of relevant experience in payment operations, transaction monitoring, AML/financial crime operations, settlement, or treasury within payments, fintech, crypto, or banking. Strong understanding of payment rails: SEPA / SEPA Instant, SWIFT, Faster Payments, local ACH schemes, card acquiring, and open banking. Working knowledge of crypto operations: major blockchains, stablecoins, wallet structures, transaction tracing, confirmation/finality, and network/gas fees. Understanding of AML/CTF and sanctions requirements for virtual assets, including KYC/CDD, PEP and sanctions screening, source of funds, Travel Rule, SAR/STR escalation, MiCA, and local VASP requirements. Strong reconciliation and control mindset: comfortable working with ledgers, debits/credits, settlement cycles, cut-offs, and transaction discrepancies. Strong analytical and investigative skills: ability to work with raw transaction data, identify root causes, reach defensible conclusions, and clearly document findings. Advanced Excel/Google Sheets and preferably SQL: able to analyse large volumes of transaction and operational data. High attention to detail, sound judgement, and strong communication skills: able to work under time pressure, handle sensitive financial data with discretion, and communicate clearly in written and spoken English. Nice-to-Have Experience with blockchain analytics, transaction monitoring, and sanctions screening tools. Experience in crypto/virtual asset operations, particularly with stablecoins, on-chain investigations, and multiple blockchain networks. Experience with payment incident management and operational controls, including developing runbooks, escalation procedures, and process improvements. Experience working with automation, SQL-based reporting, or operational data analysis to reduce manual work and improve reconciliation and monitoring processes. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: North America, EU, UK AI Systems Researcher / Research Engineer London (Preferred) - Hybrid, or Remote in North America, EU, UK About Brave Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary Join us at Brave as we redefine the future of online experiences with a range of cutting-edge, top-performing products. We’re seeking an experienced AI Systems and Performance Researcher/Engineer to shape and improve our performance evaluations and optimizations across desktop and mobile. If you’re passionate about innovation, privacy, and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks. About you An ideal candidate will have a mix of skills that include the following: Demonstrates a high level of initiative and consistently delivers high-quality solutions Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates Want to be part of a high-growth startup company with global ambitions Experience with software development practices (Python, C++, JavaScript and/or Rust) Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks Comfortable working in an open-source setting Able to create and deploy mobile/desktop applications and systems Has a passion for helping protect users’ privacy and security A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience Specific Skills Background and/or previous work in AI systems research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT, etc.). Skills That Will Set You Apart from the Competition ML Systems (pipelines, performance evaluation, etc.) Open source projects on mobile/desktop systems optimization Experience with confidential computing and security/privacy protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules. Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement. Responsibilities Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards Preparing and processing data, training models, running A/B tests, and analyzing results Monitoring and improving model performance, interpreting model behavior and key metrics Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization What makes you the perfect fit 3+ years of experience in ML engineering and building production-ready ML systems Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction Strong track record of delivering end-to-end ML solutions — from idea and data to production and support Proficient Python skills and experience with production-grade development Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs Solid knowledge of A/B testing and result interpretation Experience in architectural decision-making and a drive to improve engineering practices Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging Will be a plus Product-oriented mindset and understanding of business metrics Experience building real-time and high-load ML systems Experience with open-source or self-hosted models Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow) Experience evaluating the UX of AI-driven interactions What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Hong Kong Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong Programme duration: 3–6-month internship, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers working on production systems. The environment is technical and collaborative, with plenty of scope to ask questions, investigate unfamiliar problems and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. As part of QRT’s Security team, you’ll help protect the systems, data and infrastructure behind our global research and trading activities. You’ll work closely with our Cloud, Infrastructure and Network Operations teams to design and implement security controls across a complex, high-performance technology environment. The team works across security engineering, detection and response, vulnerability management and security assurance. Rather than treating security as a separate layer, we work directly with engineering teams to understand how systems behave, identify weaknesses and build practical ways to prevent, detect and respond to threats. As an intern, you’ll contribute to real security problems and have opportunities to build tooling, investigate emerging attack techniques and improve how we automate security work at scale. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Cyber Security, Informatics, Computing or a related subject Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Examples of relevant knowledge and experience include: An understanding of security principles and technologies such as firewalls, IDS/IPS, vulnerability scanning, password management, encryption and secure coding practices. Programming or scripting experience, particularly with Python or Bash. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of networking concepts, including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Examples of the projects you may work on include: Triage agent development – Use MCP servers to build and improve a triage agent that supports cyber-security investigations. Detection engineering – Reproduce emerging attack techniques in segregated lab environments and test how effectively our detection systems identify them. Security assurance – Contribute to vulnerability research, security reviews and remediation testing, working with security and engineering teams to understand and address weaknesses. Security automation – Build tools and automation that make security assurance more scalable, consistent and effective. Mindset – Curious, proactive and comfortable asking questions. You’re willing to investigate unfamiliar systems, follow evidence and challenge assumptions when something doesn’t look right. Approach – Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Apply Online – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candi dat es will complete a technical interview with the relevant team . Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: United States Position Overview We are looking for a Senior Software Engineer to join the Aura AI Platform team. You will design, build, and operate the infrastructure that runs customer workloads (Notebooks, Jobs, Apps, AI Agents, and Model-serving) on top of SingleStore, across multiple regions and clouds. You will work on services that manage container pools, resource scaling, routing, RBAC, Billing, Observability and secure network access between clusters. This role is ideal for engineers who enjoy building distributed platforms, owning production systems, and enabling real-time AI and data applications at scale. What you'll do: Design, build and maintain the platform that powers internal and customer‑facing intelligent services on SingleStore Lead complex, cross-functional technical initiatives from conception to deployment, mentoring other engineers along the way Work closely with product managers, designers, customers, and other engineers to ensure we deliver a high-quality experience Drive the team's engineering standards, championing best practices in system design, code quality, testing, observability, and CI/CD pipelines to ensure we scale reliably. Share on-call responsibilities and proactively improve the reliability, security, and cost-efficiency of our cloud infrastructure. Your Experience: Experience with working on distributed systems, ideally in programming languages such as Golang, Python or Rust Experience working with Kubernetes and/or containerized services Intellectual curiosity about investigating issues that impact business metrics Passion for building high-quality products that are robust and easy to maintain in a fast-paced, team-oriented environment Strong communication skills with a passion for mentoring peers, fostering a collaborative team culture, and executing efficiently in a fast-paced environment. Bachelor’s degree in Computer Science or equivalent practical experience. Preferred Qualifications: Experience with cloud infrastructure across AWS, Azure, or GCP. Experience building developer platforms, compute platforms, ML platforms, or serverless/container execution environments. Experience working with frontend web frameworks like React. Prior experience mentoring engineers or leading technical projects. About us: SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. T o all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. SingleStore’s base salary range for this role is $140,000 - $160,000 USD per year For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. Req ID: ENG00490

Location: Ireland, Dublin 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. Job Description We are seeking an experienced Senior Integration Engineering Manager to lead and evolve PlayStation’s Enterprise Integration Engineering capability. We deliver reusable, scalable, and loosely coupled integrations that simplify and automate business processes, improving user experience and data quality across the enterprise. In this role, you will define the technical direction, engineering practices, and delivery strategy for our enterprise integration platforms (MuleSoft & SnapLogic), while leading and developing a high-performing team of integration engineers. You will be accountable for engineering strategy, delivery outcomes, technical quality and operational excellence. Working collaboratively with global engineering teams, engineering leaders & managers, architecture, business stakeholders and PMO, to ensure integration solutions are delivered on time, to a high standard of quality, scalability, reliability, and security. You will bring a strong technical foundation in integration design and delivery. Actively contribute to integration architecture and design discussions, provide technical leadership, and constructively challenge solutions where needed. You will mentor and develop engineers, foster a strong engineering team culture, and lead the growth of the Enterprise Integration Engineering capability at PlayStation. What you'll be doing: Technical Leadership & Architecture Define the technical roadmap for the enterprise integration platforms, ensuring they continue to meet current and future business needs. Evaluate emerging integration technologies and industry trends, recommending strategic investments where appropriate. Lead and guide the design of enterprise integration solutions across MuleSoft and SnapLogic, ensuring solutions are scalable, secure, reusable, and aligned to enterprise standards Review and constructively challenge integration designs, patterns, and technical decisions, providing clear direction to improve quality, resilience, and maintainability Drive adoption of modern integration approaches, including API-led, event-driven, pub-sub, asynchronous, and batch/data integration patterns Define and promote integration standards, design principles, and reusable patterns across the team Be the escalation point for operational and technical issues. Delivery & Engineering Management Own delivery across a portfolio of integration initiatives, ensuring commitments are met to agreed timelines, scope, quality, and business outcomes. Determine resource allocation, platform investment, and delivery priorities across multiple concurrent initiatives, balancing technical debt and operational risk to achieve business objectives. Define and continually improve the engineering operating model, delivery processes, and engineering metrics to increase delivery predictability, platform reliability, and operational excellence. Lead the team to solve complex technical and delivery challenges, ensuring issues are identified early and resolved effectively Ensure integrations are secure, scalable, resilient, and observable, with appropriate logging, monitoring, error handling, and operational support models. People & Team Leadership Line manage a team of integration engineers, including goal setting, performance management, coaching, and career development. Develop senior engineers and future technical leaders through coaching, mentoring, and structured career development. Drive an inclusive engineering culture focused on accountability, innovation, collaboration and continuous improvement. Lead hiring, onboarding, and organisational planning to build a scalable, high-performing engineering organisation. Build strong working relationships across global engineering teams and delivery partners. What we are looking for: 10+ years of experience designing and delivering enterprise integrations across one or more integration platforms (e.g. Informatica, Dell Boomi, Oracle Service Bus, or similar) 5+ years of hands-on integration design and development experience on MuleSoft and/or SnapLogic Strong technical understanding of enterprise integration architecture, patterns, and platform capabilities Proven experience leading and developing high-performing engineering teams, including senior engineers and technical leads. Proven experience reviewing technical design decisions, and providing constructive guidance to improve solution quality. Experience working with AWS-hosted integration environments, including messaging services such as SQS and SNS Experience with engineering delivery practices and tooling such as GitHub, Jenkins, Maven, and Terraform Experience integrating enterprise SaaS (e.g. Salesforce, Workday), cloud-hosted COTS (e.g. SAP) and custom in-house developed and hosted applications. Ability to balance technical leadership, delivery accountability, and people management responsibilities Excellent written and verbal communication skills, with the ability to present complex technical information clearly and concisely to engineering teams, senior stakeholders, and non-technical audiences Strong stakeholder management and collaboration skills Exposure to emerging integration approaches such as MCP servers and agentic-based integrations is desirable At SIE, 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 base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €111.800 — €167.600 EUR 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: Remote, Poland 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. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitLab's highest-visibility product bets, collaborating with design partners toward a public beta. In your first year, you'll lead major features from an unclear problem through release, help shape scope with product and users, mentor other engineers, and influence technical decisions across agent workflows and evaluation methods. What you’ll do Lead backend features from early product discussions through technical design, implementation, rollout, and post-launch learning. Build the flows, application programming interfaces, and data models behind agent-generated work items, implementation plans, durable specifications, and mergeable code. Develop evaluation and benchmarking systems that measure workflow quality, token cost, and success rate. Use Ruby on Rails and Python to build reliable production systems, with PostgreSQL, GraphQL, representational state transfer, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. Collaborate directly with product, design, engineers, design partners, and users to shape scope and make practical trade-offs. Coordinate multi-person projects across the team and communicate decisions clearly in GitLab's asynchronous, all-remote environment. Mentor other engineers and contribute to technical direction across the Plan group and related artificial intelligence initiatives. Work in short iterations, share progress through demos, and use results and user feedback to guide what comes next. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Strong Ruby on Rails experience in a large production codebase and production experience with Python. Experience driving substantial projects with several engineers over multiple months, with clear user or business outcomes. A product mindset and experience owning features end to end, including shaping scope, making trade-offs, engaging with users, and learning from adoption after launch. A full stack background with a current focus on backend engineering, plus the ability to read modern frontend code and design effective APIs. Strong application programming interface design and structured query language fundamentals. Experience exploring artificial intelligence-assisted development. The ability to work independently, collaborate across functions and regions, and support others through technical leadership and mentoring. Experience with GraphQL, PostgreSQL performance at scale, or building and evaluating large language model or agent systems is helpful but not required. We welcome candidates with different backgrounds and transferable experience. If you're excited about the role but don't meet every qualification, we encourage you to apply. About the team We are a team of four engineers, with two backend and two frontend engineers across Canada and Europe. You'll work in an all-remote, async-first environment with weekly sync calls, retrospectives, demos, and short iterations. This is early-stage work with broad ownership, space for creativity, and a fast pace. For more about our team and its work, see Plan Team Handbook Page and Spec-Driven Development Initiative The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. Poland base salary range: 272,000 - 408,000 PLN 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: London Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. Your Impact: What You Will Own Lead, mentor, and scale a high-performing global SDR team, fostering a culture of accountability, collaboration, and continuous development Drive alignment and cross-functional collaboration between SDRs, Sales, Marketing, and Partnerships teams to maximize pipeline generation and conversion Develop and execute scalable outbound and lead generation strategies across multiple markets and customer segments Own SDR performance management, including target setting, KPI tracking, forecasting, incentive structures, and ongoing coaching initiatives Analyze team performance metrics and sales data to identify trends, optimize processes, and uncover new growth opportunities Build and maintain regular reporting frameworks, providing leadership with clear visibility into pipeline performance, team productivity, and strategic progress Continuously improve SDR workflows, tools, messaging, and operational processes to increase efficiency and commercial impact Who You Are 5+ years of experience in Sales Development, Business Development, or roles within fast-paced B2B or fintech environments Proven experience leading and scaling global SDR teams, with a strong focus on coaching, performance management, and team development A strategic and commercially driven mindset, with the ability to build scalable outbound and pipeline generation processes Strong leadership and communication skills, capable of motivating international teams and collaborating cross-functionally with Sales, Marketing, and Partnerships Highly organized and operationally strong, with excellent planning and prioritization skills in dynamic, fast-moving environments Data-driven approach to decision-making, with experience analyzing performance metrics, forecasting, and optimizing team efficiency Self-starter mentality with the ability to navigate ambiguity, solve problems proactively, and drive initiatives independently Passionate about building high-performing teams, delivering results, and continuously improving processes and execution Positive energy, strong team spirit, and the ability to contribute to a collaborative and engaging company culture What We Offer A highly international leadership role with the opportunity to shape and scale Unlimit’s global Sales Development function across multiple markets Ownership and autonomy to build high-performing SDR processes, outbound strategies, and pipeline generation initiatives at a global level Close collaboration with senior commercial leadership, including direct exposure to Unlimit’s Chief Sales Officer and global go-to-market strategy The opportunity to work with some of the most innovative players across fintech, payments, crypto, and global commerce ecosystems Fast-paced environment with significant room for impact, experimentation, and professional growth A collaborative, performance-driven culture focused on innovation, execution, and continuous development Competitive compensation package including performance-based bonuses and long-term career growth opportunities within a rapidly scaling global fintech company Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re seeking a transformational Solutions Engineering leader to lead our Mid Market and Enterprise SE teams in North America. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility. This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals with your own technical credibility where needed. What will I be doing? Define and evolve the strategic vision and go-to-market (GTM) approach for the Solutions Engineering function. Lead, coach, and scale a high-performing SE team across global regions and core verticals. Operate as a player-coach, actively engaging in strategic deals while developing team capabilities. Support complex, six-figure sales cycles with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise. Serve as a trusted technical advisor and executive point of contact for large customers. Partner closely with Sales, Product, Marketing, and R&D to shape verticalized GTM motions and solution strategy. Champion a customer-obsessed culture across the pre-sales journey – from outbound to implementation. Lead discovery, design, and delivery of tailored technical solutions, including PoCs and business value assessments. Build reusable, scalable solution frameworks, and industry-specific technical assets. Advocate for customer needs and insights internally to influence product roadmap and prioritization. Represent Intercom and the SE function externally through executive meetings and strategic events. Foster strong relationships with C-level stakeholders, translating AI product capabilities into tangible business impact. What skills do I need? 5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer/Architect, or related individual contributor role. Having 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams. Ideally, experience selling AI, data, or highly technical products; or at the very least, deep curiosity and utilization of AI on your day-to-day. Comfortable with ambiguity in environments with an ability to stay focused and thrive under pressure while working with customers to solve their most challenging issues. Have a humble attitude, and a passion to help others, with a willingness to learn whatever it takes to support the team and help our customers thrive. A track record of consistently delivering revenue numbers, producing accurate forecasts, while maintaining a focus on team development and growth Excellent communication and presentation skills The OTE salary range for candidates within the San Francisco Bay Area or NYC is $279,000-$333,250. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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 The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes. We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios. You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity. What You’ll Be Doing Drive product planning and roadmap execution. Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate. R esearch and iterate on risk-control methodologies. Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility. B uild platform-level risk controls. Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions. D rive effective implementation of risk systems. Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored. Drive continuous improvement. Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance. Stay close to markets and users. Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly. Strengthen team methodologies and AI leverage. Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations.. What We Look For In You Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios. An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts. Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements. Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews. Mature cross-functional leadership and project execution capabilities. Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments. A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics. Nice-To-Haves A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits. Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment. Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments. 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 More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes. We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios. You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity. What You’ll Be Doing Drive product planning and roadmap execution. Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate. R esearch and iterate on risk-control methodologies. Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility. B uild platform-level risk controls. Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions. D rive effective implementation of risk systems. Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored. Drive continuous improvement. Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance. Stay close to markets and users. Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly. Strengthen team methodologies and AI leverage. Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations.. What We Look For In You Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios. An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts. Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements. Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews. Mature cross-functional leadership and project execution capabilities. Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments. A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics. Nice-To-Haves A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits. Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment. Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments. 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 More that we love to tell you along the process! 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: Linz, Austria Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities At TeamViewer, we build technology that helps organizations connect people, devices, and digital workflows securely and efficiently. Our products support teams that need to manage complex IT environments, resolve disruptions faster, and automate work with confidence. Our team builds and evolves the integrations that connect TeamViewer with the wider enterprise software ecosystem, such as Microsoft LAPS and Intune. We enable secure credential handling, seamless device connectivity and efficient remote access across enterprise environments. Join us if you want to build the features that keep enterprise IT secure, connected and simple to operate. Design and develop platform independent functionalities for our client and services using C++ Optimize and enhance our software with new, efficient algorithms and technologies Own features end to end, from technical concept through implementation to rollout Continuously improve the reliability, maintainability, and performance of our codebase Use coding agents and LLM-based assistants in your daily work, with a critical eye on quality and security Automate recurring parts of your work with agentic workflows and share what works with your fellow C++ engineers Mentor engineers and raise the bar through design and code reviews Advise product owners on feasibility, effort estimates, and technical direction of new features Requirements University or college degree in Computer Science, Business Informatics, Software Engineering, or any related subject 7+ years of professional experience in the field of object-oriented software development using C++ (C++14 or above) and design patterns Hands-on experience with AI-assisted development tools like coding agents or LLM-based assistants Enthusiasm for AI-native ways of working, from automating recurring tasks to rethinking how software gets built Solid knowledge of build tools like CMake and git, experience with Conan is a plus Experience in any of the following fields are desirable: parallel programming, distributed and scalable systems, security, SQL, or network communication Ability to work independently and be proactive Structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things Fluency in English is mandatory, further languages such as German are a plus What we offer Onsite Onboarding in our HQ office for an optimal start An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.954, with ST2/rule: EUR 4.611 gross/month) 28 days of well-deserved holidays Great benefits package including company achievement bonus Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Tbilisi, Georgia Workplace: Hybrid ABOUT THE ROLE Pave Bank is a digital bank built for businesses that operate globally, with a client base concentrated in digital asset trading venues, payment providers, stablecoin issuers and fintechs. Our Commercial team owns the client relationship from first conversation through to ongoing revenue growth. We are looking for a Data Analyst who will sit inside the Commercial team and turn client, transaction and pipeline data into decisions. This is not a reporting role where you wait for requests and return a spreadsheet. You will build the dashboards, the models and the internal tools that the Commercial team uses every day, and you will ship them yourself. We expect you to work with AI as a default part of how you build. If you currently do everything by hand and see AI tooling as optional, this role will not suit you. WHAT YOU WILL DO COMMERCIAL ANALYTICS - Analyse client revenue, transaction volumes, payment corridors and product usage to show where growth is actually coming from - Build and maintain client profitability and unit economics models, including fee income, correspondent costs and FX spreads - Track pipeline health, conversion rates, time to onboard and time to first transaction, and explain the movements behind the numbers - Identify at risk clients through changes in activity patterns, and identify cross sell and upsell opportunities across the book - Support pricing decisions with evidence, including scenario modelling for fee changes and volume tiers - Prepare data for board, investor and management reporting, and be able to defend every number in it DASHBOARDS AND REPORTING - Design and own the the Commercial team's dashboard layer, covering revenue, pipeline, client activity and product adoption - Move the team away from manual spreadsheets towards live, self serve reporting that people actually open - Define metrics clearly and consistently, and document them so the definitions do not drift between teams - Work with Operations, Finance, Compliance and Product to make sure the underlying data is trustworthy TOOLING AND AUTOMATION - Build internal tools that solve real Commercial problems, for example client scoring, pricing calculators, lead enrichment, reporting automation and data quality checks - Deploy and host those tools on Google Cloud, and keep them running - Automate recurring manual work in the Commercial workflow instead of absorbing it - Write clean, documented, maintainable code that someone else on the team can pick up AI ADOPTION - Use Claude Code and similar agentic tools as your primary build environment for analysis, tooling and automation - Build AI assisted workflows into Commercial processes, for example summarising client interactions, drafting first pass commercial documents and structuring unstructured data - Set the standard for AI usage inside the Commercial team, share what works, and help colleagues adopt it - Apply good judgement on where AI output needs human verification, particularly for anything client facing or regulatory WHAT WE ARE LOOKING FOR ESSENTIAL - Minimum 3 years in an analytical role, ideally in fintech, payments, banking or a data heavy commercial environment - Strong SQL, comfortable writing complex queries against large transaction datasets without hand holding - Python for analysis and for building small applications and services - Hands on experience with Google Cloud, including deploying and hosting an application, for example Cloud Run, Cloud Functions, App Engine, BigQuery, Cloud Scheduler - Demonstrated experience building dashboards in a modern BI tool, for example Looker Studio, Metabase, Tableau or Power BI - Practical, daily use of AI coding tools. You should be able to walk us through something you built with Claude Code or an equivalent agent, and explain what you delegated and what you reviewed yourself - Advanced spreadsheet skills, including modelling and Google Sheets automation - Strong commercial instinct. You care about why the number moved, not only what it is - Fluent professional English, written and spoken, is mandatory. Our working language is English and you will present analysis directly to senior stakeholders and clients. Georgian is an advantage but not a substitute NICE TO HAVE - Understanding of payments mechanics, including SWIFT, SEPA, correspondent banking, card scheme settlement or stablecoin flows - Experience with dbt, Airflow or similar transformation and orchestration tooling - Familiarity with CRM data models and pipeline analytics - Front end skills sufficient to build a usable interface, for example React or Streamlit - Exposure to digital assets or a regulated banking environment HOW WE WORK - Small team, wide scope. You will own your work end to end rather than hand specifications to someone else - AI first by default. We expect meaningful output volume from a small headcount, and AI tooling is how we get there - Direct access to decision makers. Good analysis changes what we do, quickly - Bias to shipping. A working tool used by the team beats a perfect design nobody uses

Location: Seoul, South Korea 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 Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy. You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role.   WHAT YOU’LL ACHIEVE - Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline. - Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path. - Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate. - Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps. - Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature.   SKILLS YOU’LL NEED TO BRING - Mid-market sales experience. You have experience selling technical products to technical buyers at mid-market organizations (500–2,999 employees). - Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles. - Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room. - AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working. - Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria. - Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve. - Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles. - Native or bilingual-level Korean fluency and business-level English proficiency   NICE TO HAVES - Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions. - Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals. - Prior experience selling to mid-market accounts in productivity, collaboration, or workflow software. - Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #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.